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Patient Navigators for Serious Illnesses Can Now Bill Under New Medicare Codes
In a move that acknowledges the gauntlet the US health system poses for people facing serious and fatal illnesses, Medicare will pay for a new class of workers to help patients manage treatments for conditions like cancer and heart failure.
The 2024 Medicare physician fee schedule includes new billing codes, including G0023, to pay for 60 minutes a month of care coordination by certified or trained auxiliary personnel working under the direction of a clinician.
A diagnosis of cancer or another serious illness takes a toll beyond the physical effects of the disease. Patients often scramble to make adjustments in family and work schedules to manage treatment, said Samyukta Mullangi, MD, MBA, medical director of oncology at Thyme Care, a Nashville, Tennessee–based firm that provides navigation and coordination services to oncology practices and insurers.
“It just really does create a bit of a pressure cooker for patients,” Dr. Mullangi told this news organization.
Medicare has for many years paid for medical professionals to help patients cope with the complexities of disease, such as chronic care management (CCM) provided by physicians, nurses, and physician assistants.
The new principal illness navigation (PIN) payments are intended to pay for work that to date typically has been done by people without medical degrees, including those involved in peer support networks and community health programs. The US Centers for Medicare and Medicaid Services(CMS) expects these navigators will undergo training and work under the supervision of clinicians.
The new navigators may coordinate care transitions between medical settings, follow up with patients after emergency department (ED) visits, or communicate with skilled nursing facilities regarding the psychosocial needs and functional deficits of a patient, among other functions.
CMS expects the new navigators may:
- Conduct assessments to understand a patient’s life story, strengths, needs, goals, preferences, and desired outcomes, including understanding cultural and linguistic factors.
- Provide support to accomplish the clinician’s treatment plan.
- Coordinate the receipt of needed services from healthcare facilities, home- and community-based service providers, and caregivers.
Peers as Navigators
The new navigators can be former patients who have undergone similar treatments for serious diseases, CMS said. This approach sets the new program apart from other care management services Medicare already covers, program officials wrote in the 2024 physician fee schedule.
“For some conditions, patients are best able to engage with the healthcare system and access care if they have assistance from a single, dedicated individual who has ‘lived experience,’ ” according to the rule.
The agency has taken a broad initial approach in defining what kinds of illnesses a patient may have to qualify for services. Patients must have a serious condition that is expected to last at least 3 months, such as cancer, heart failure, or substance use disorder.
But those without a definitive diagnosis may also qualify to receive navigator services.
In the rule, CMS cited a case in which a CT scan identified a suspicious mass in a patient’s colon. A clinician might decide this person would benefit from navigation services due to the potential risks for an undiagnosed illness.
“Regardless of the definitive diagnosis of the mass, presence of a colonic mass for that patient may be a serious high-risk condition that could, for example, cause obstruction and lead the patient to present to the emergency department, as well as be potentially indicative of an underlying life-threatening illness such as colon cancer,” CMS wrote in the rule.
Navigators often start their work when cancer patients are screened and guide them through initial diagnosis, potential surgery, radiation, or chemotherapy, said Sharon Gentry, MSN, RN, a former nurse navigator who is now the editor in chief of the Journal of the Academy of Oncology Nurse & Patient Navigators.
The navigators are meant to be a trusted and continual presence for patients, who otherwise might be left to start anew in finding help at each phase of care.
The navigators “see the whole picture. They see the whole journey the patient takes, from pre-diagnosis all the way through diagnosis care out through survival,” Ms. Gentry said.
Gaining a special Medicare payment for these kinds of services will elevate this work, she said.
Many newer drugs can target specific mechanisms and proteins of cancer. Often, oncology treatment involves testing to find out if mutations are allowing the cancer cells to evade a patient’s immune system.
Checking these biomarkers takes time, however. Patients sometimes become frustrated because they are anxious to begin treatment. Patients may receive inaccurate information from friends or family who went through treatment previously. Navigators can provide knowledge on the current state of care for a patient’s disease, helping them better manage anxieties.
“You have to explain to them that things have changed since the guy you drink coffee with was diagnosed with cancer, and there may be a drug that could target that,” Ms. Gentry said.
Potential Challenges
Initial uptake of the new PIN codes may be slow going, however, as clinicians and health systems may already use well-established codes. These include CCM and principal care management services, which may pay higher rates, Mullangi said.
“There might be sensitivity around not wanting to cannibalize existing programs with a new program,” Dr. Mullangi said.
In addition, many patients will have a copay for the services of principal illness navigators, Dr. Mullangi said.
While many patients have additional insurance that would cover the service, not all do. People with traditional Medicare coverage can sometimes pay 20% of the cost of some medical services.
“I think that may give patients pause, particularly if they’re already feeling the financial burden of a cancer treatment journey,” Dr. Mullangi said.
Pay rates for PIN services involve calculations of regional price differences, which are posted publicly by CMS, and potential added fees for services provided by hospital-affiliated organizations.
Consider payments for code G0023, covering 60 minutes of principal navigation services provided in a single month.
A set reimbursement for patients cared for in independent medical practices exists, with variation for local costs. Medicare’s non-facility price for G0023 would be $102.41 in some parts of Silicon Valley in California, including San Jose. In Arkansas, where costs are lower, reimbursement would be $73.14 for this same service.
Patients who get services covered by code G0023 in independent medical practices would have monthly copays of about $15-$20, depending on where they live.
The tab for patients tends to be higher for these same services if delivered through a medical practice owned by a hospital, as this would trigger the addition of facility fees to the payments made to cover the services. Facility fees are difficult for the public to ascertain before getting a treatment or service.
Dr. Mullangi and Ms. Gentry reported no relevant financial disclosures outside of their employers.
A version of this article first appeared on Medscape.com.
In a move that acknowledges the gauntlet the US health system poses for people facing serious and fatal illnesses, Medicare will pay for a new class of workers to help patients manage treatments for conditions like cancer and heart failure.
The 2024 Medicare physician fee schedule includes new billing codes, including G0023, to pay for 60 minutes a month of care coordination by certified or trained auxiliary personnel working under the direction of a clinician.
A diagnosis of cancer or another serious illness takes a toll beyond the physical effects of the disease. Patients often scramble to make adjustments in family and work schedules to manage treatment, said Samyukta Mullangi, MD, MBA, medical director of oncology at Thyme Care, a Nashville, Tennessee–based firm that provides navigation and coordination services to oncology practices and insurers.
“It just really does create a bit of a pressure cooker for patients,” Dr. Mullangi told this news organization.
Medicare has for many years paid for medical professionals to help patients cope with the complexities of disease, such as chronic care management (CCM) provided by physicians, nurses, and physician assistants.
The new principal illness navigation (PIN) payments are intended to pay for work that to date typically has been done by people without medical degrees, including those involved in peer support networks and community health programs. The US Centers for Medicare and Medicaid Services(CMS) expects these navigators will undergo training and work under the supervision of clinicians.
The new navigators may coordinate care transitions between medical settings, follow up with patients after emergency department (ED) visits, or communicate with skilled nursing facilities regarding the psychosocial needs and functional deficits of a patient, among other functions.
CMS expects the new navigators may:
- Conduct assessments to understand a patient’s life story, strengths, needs, goals, preferences, and desired outcomes, including understanding cultural and linguistic factors.
- Provide support to accomplish the clinician’s treatment plan.
- Coordinate the receipt of needed services from healthcare facilities, home- and community-based service providers, and caregivers.
Peers as Navigators
The new navigators can be former patients who have undergone similar treatments for serious diseases, CMS said. This approach sets the new program apart from other care management services Medicare already covers, program officials wrote in the 2024 physician fee schedule.
“For some conditions, patients are best able to engage with the healthcare system and access care if they have assistance from a single, dedicated individual who has ‘lived experience,’ ” according to the rule.
The agency has taken a broad initial approach in defining what kinds of illnesses a patient may have to qualify for services. Patients must have a serious condition that is expected to last at least 3 months, such as cancer, heart failure, or substance use disorder.
But those without a definitive diagnosis may also qualify to receive navigator services.
In the rule, CMS cited a case in which a CT scan identified a suspicious mass in a patient’s colon. A clinician might decide this person would benefit from navigation services due to the potential risks for an undiagnosed illness.
“Regardless of the definitive diagnosis of the mass, presence of a colonic mass for that patient may be a serious high-risk condition that could, for example, cause obstruction and lead the patient to present to the emergency department, as well as be potentially indicative of an underlying life-threatening illness such as colon cancer,” CMS wrote in the rule.
Navigators often start their work when cancer patients are screened and guide them through initial diagnosis, potential surgery, radiation, or chemotherapy, said Sharon Gentry, MSN, RN, a former nurse navigator who is now the editor in chief of the Journal of the Academy of Oncology Nurse & Patient Navigators.
The navigators are meant to be a trusted and continual presence for patients, who otherwise might be left to start anew in finding help at each phase of care.
The navigators “see the whole picture. They see the whole journey the patient takes, from pre-diagnosis all the way through diagnosis care out through survival,” Ms. Gentry said.
Gaining a special Medicare payment for these kinds of services will elevate this work, she said.
Many newer drugs can target specific mechanisms and proteins of cancer. Often, oncology treatment involves testing to find out if mutations are allowing the cancer cells to evade a patient’s immune system.
Checking these biomarkers takes time, however. Patients sometimes become frustrated because they are anxious to begin treatment. Patients may receive inaccurate information from friends or family who went through treatment previously. Navigators can provide knowledge on the current state of care for a patient’s disease, helping them better manage anxieties.
“You have to explain to them that things have changed since the guy you drink coffee with was diagnosed with cancer, and there may be a drug that could target that,” Ms. Gentry said.
Potential Challenges
Initial uptake of the new PIN codes may be slow going, however, as clinicians and health systems may already use well-established codes. These include CCM and principal care management services, which may pay higher rates, Mullangi said.
“There might be sensitivity around not wanting to cannibalize existing programs with a new program,” Dr. Mullangi said.
In addition, many patients will have a copay for the services of principal illness navigators, Dr. Mullangi said.
While many patients have additional insurance that would cover the service, not all do. People with traditional Medicare coverage can sometimes pay 20% of the cost of some medical services.
“I think that may give patients pause, particularly if they’re already feeling the financial burden of a cancer treatment journey,” Dr. Mullangi said.
Pay rates for PIN services involve calculations of regional price differences, which are posted publicly by CMS, and potential added fees for services provided by hospital-affiliated organizations.
Consider payments for code G0023, covering 60 minutes of principal navigation services provided in a single month.
A set reimbursement for patients cared for in independent medical practices exists, with variation for local costs. Medicare’s non-facility price for G0023 would be $102.41 in some parts of Silicon Valley in California, including San Jose. In Arkansas, where costs are lower, reimbursement would be $73.14 for this same service.
Patients who get services covered by code G0023 in independent medical practices would have monthly copays of about $15-$20, depending on where they live.
The tab for patients tends to be higher for these same services if delivered through a medical practice owned by a hospital, as this would trigger the addition of facility fees to the payments made to cover the services. Facility fees are difficult for the public to ascertain before getting a treatment or service.
Dr. Mullangi and Ms. Gentry reported no relevant financial disclosures outside of their employers.
A version of this article first appeared on Medscape.com.
In a move that acknowledges the gauntlet the US health system poses for people facing serious and fatal illnesses, Medicare will pay for a new class of workers to help patients manage treatments for conditions like cancer and heart failure.
The 2024 Medicare physician fee schedule includes new billing codes, including G0023, to pay for 60 minutes a month of care coordination by certified or trained auxiliary personnel working under the direction of a clinician.
A diagnosis of cancer or another serious illness takes a toll beyond the physical effects of the disease. Patients often scramble to make adjustments in family and work schedules to manage treatment, said Samyukta Mullangi, MD, MBA, medical director of oncology at Thyme Care, a Nashville, Tennessee–based firm that provides navigation and coordination services to oncology practices and insurers.
“It just really does create a bit of a pressure cooker for patients,” Dr. Mullangi told this news organization.
Medicare has for many years paid for medical professionals to help patients cope with the complexities of disease, such as chronic care management (CCM) provided by physicians, nurses, and physician assistants.
The new principal illness navigation (PIN) payments are intended to pay for work that to date typically has been done by people without medical degrees, including those involved in peer support networks and community health programs. The US Centers for Medicare and Medicaid Services(CMS) expects these navigators will undergo training and work under the supervision of clinicians.
The new navigators may coordinate care transitions between medical settings, follow up with patients after emergency department (ED) visits, or communicate with skilled nursing facilities regarding the psychosocial needs and functional deficits of a patient, among other functions.
CMS expects the new navigators may:
- Conduct assessments to understand a patient’s life story, strengths, needs, goals, preferences, and desired outcomes, including understanding cultural and linguistic factors.
- Provide support to accomplish the clinician’s treatment plan.
- Coordinate the receipt of needed services from healthcare facilities, home- and community-based service providers, and caregivers.
Peers as Navigators
The new navigators can be former patients who have undergone similar treatments for serious diseases, CMS said. This approach sets the new program apart from other care management services Medicare already covers, program officials wrote in the 2024 physician fee schedule.
“For some conditions, patients are best able to engage with the healthcare system and access care if they have assistance from a single, dedicated individual who has ‘lived experience,’ ” according to the rule.
The agency has taken a broad initial approach in defining what kinds of illnesses a patient may have to qualify for services. Patients must have a serious condition that is expected to last at least 3 months, such as cancer, heart failure, or substance use disorder.
But those without a definitive diagnosis may also qualify to receive navigator services.
In the rule, CMS cited a case in which a CT scan identified a suspicious mass in a patient’s colon. A clinician might decide this person would benefit from navigation services due to the potential risks for an undiagnosed illness.
“Regardless of the definitive diagnosis of the mass, presence of a colonic mass for that patient may be a serious high-risk condition that could, for example, cause obstruction and lead the patient to present to the emergency department, as well as be potentially indicative of an underlying life-threatening illness such as colon cancer,” CMS wrote in the rule.
Navigators often start their work when cancer patients are screened and guide them through initial diagnosis, potential surgery, radiation, or chemotherapy, said Sharon Gentry, MSN, RN, a former nurse navigator who is now the editor in chief of the Journal of the Academy of Oncology Nurse & Patient Navigators.
The navigators are meant to be a trusted and continual presence for patients, who otherwise might be left to start anew in finding help at each phase of care.
The navigators “see the whole picture. They see the whole journey the patient takes, from pre-diagnosis all the way through diagnosis care out through survival,” Ms. Gentry said.
Gaining a special Medicare payment for these kinds of services will elevate this work, she said.
Many newer drugs can target specific mechanisms and proteins of cancer. Often, oncology treatment involves testing to find out if mutations are allowing the cancer cells to evade a patient’s immune system.
Checking these biomarkers takes time, however. Patients sometimes become frustrated because they are anxious to begin treatment. Patients may receive inaccurate information from friends or family who went through treatment previously. Navigators can provide knowledge on the current state of care for a patient’s disease, helping them better manage anxieties.
“You have to explain to them that things have changed since the guy you drink coffee with was diagnosed with cancer, and there may be a drug that could target that,” Ms. Gentry said.
Potential Challenges
Initial uptake of the new PIN codes may be slow going, however, as clinicians and health systems may already use well-established codes. These include CCM and principal care management services, which may pay higher rates, Mullangi said.
“There might be sensitivity around not wanting to cannibalize existing programs with a new program,” Dr. Mullangi said.
In addition, many patients will have a copay for the services of principal illness navigators, Dr. Mullangi said.
While many patients have additional insurance that would cover the service, not all do. People with traditional Medicare coverage can sometimes pay 20% of the cost of some medical services.
“I think that may give patients pause, particularly if they’re already feeling the financial burden of a cancer treatment journey,” Dr. Mullangi said.
Pay rates for PIN services involve calculations of regional price differences, which are posted publicly by CMS, and potential added fees for services provided by hospital-affiliated organizations.
Consider payments for code G0023, covering 60 minutes of principal navigation services provided in a single month.
A set reimbursement for patients cared for in independent medical practices exists, with variation for local costs. Medicare’s non-facility price for G0023 would be $102.41 in some parts of Silicon Valley in California, including San Jose. In Arkansas, where costs are lower, reimbursement would be $73.14 for this same service.
Patients who get services covered by code G0023 in independent medical practices would have monthly copays of about $15-$20, depending on where they live.
The tab for patients tends to be higher for these same services if delivered through a medical practice owned by a hospital, as this would trigger the addition of facility fees to the payments made to cover the services. Facility fees are difficult for the public to ascertain before getting a treatment or service.
Dr. Mullangi and Ms. Gentry reported no relevant financial disclosures outside of their employers.
A version of this article first appeared on Medscape.com.
Higher Early-Onset CRC Mortality Seen in Racial, Ethnic Minorities
TOPLINE:
The largest racial and ethnic disparities in survival were linked to neighborhood socioeconomic status.
METHODOLOGY:
- US rates of EOCRC are increasing, with differences across racial and ethnic groups, but few studies have provided detailed risk estimates in the categories of Asian American and of Native Hawaiian or Other Pacific Islander, as well as the contribution of sociodemographic factors to these differences.
- A population-based cohort study analyzed California Cancer Registry data for 22,834 individuals aged 18-49 years diagnosed with EOCRC between January 2000 and December 2019.
- Researchers examined the association between mortality risk and racial and ethnic groups, including Asian American (15.5%, separated into seven subcategories), Hispanic (30.2%), Native Hawaiian or Other Pacific Islander (0.6%), non-Hispanic American Indian or Alaska Native (0.5%), non-Hispanic Black (7.3%), and non-Hispanic White (45.9%) individuals, with a median follow-up of 4.2 years.
- Statistical models measured baseline associations adjusting for clinical features and then tested for the contribution of socioeconomic factors together and separately, with adjustments for insurance status, neighborhood socioeconomic status, and more.
TAKEAWAY:
- Native Hawaiian or Other Pacific Islander individuals demonstrated the highest EOCRC mortality risk compared with non-Hispanic White individuals (socioeconomic status–adjusted HR [SES aHR], 1.34; 95% CI, 1.01-1.76).
- Non-Hispanic Black individuals showed a higher EOCRC mortality risk than non-Hispanic White individuals (SES aHR, 1.18; 95% CI, 1.07-1.29).
- Hispanic individuals’ higher EOCRC mortality (base aHR, 1.15; 95% CI, 1.08-1.22) disappeared after adjusting for neighborhood socioeconomic status (SES aHR, 0.98; 95% CI, 0.92-1.04).
- Southeast Asian individuals’ increased mortality risk (base aHR, 1.17; 95% CI, 1.03-1.34) was no longer significant after adjusting for insurance status (SES aHR, 1.10; 95% CI, 0.96-1.26).
IN PRACTICE:
“As clinicians and researchers, we should ask ourselves how to act on these findings,” wrote the authors of an invited commentary. “The effort cannot stop with data analysis alone, it must extend to actionable steps,” such as tailored efforts to deliver culturally competent care and patient navigation services to those with greatest need and at highest risk, they added.
SOURCE:
The study was led by Joshua Demb, PhD, University of California, San Diego. The study was published online on November 22 in JAMA Network Open (2024. doi: 10.1001/jamanetworkopen.2024.46820) with the invited commentary led by Clare E. Jacobson, MD, University of Michigan, Ann Arbor.
LIMITATIONS:
The study was limited by a relatively short follow-up time and small sample sizes in some racial and ethnic groups, potentially leading to imprecise aHR estimates. The generalizability of findings beyond California requires further investigation, and the ability to examine potential associations between neighborhood socioeconomic status and other factors was also constrained by small sample sizes.
DISCLOSURES:
The study received support from the National Cancer Institute at the National Institutes of Health. One study author reported receiving consulting fees from Guardant Health, InterVenn Biosciences, Geneoscopy, and Universal DX; research support from Freenome; and stock options from CellMax outside the submitted work. No other disclosures were reported by other authors of the study or the commentary.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
TOPLINE:
The largest racial and ethnic disparities in survival were linked to neighborhood socioeconomic status.
METHODOLOGY:
- US rates of EOCRC are increasing, with differences across racial and ethnic groups, but few studies have provided detailed risk estimates in the categories of Asian American and of Native Hawaiian or Other Pacific Islander, as well as the contribution of sociodemographic factors to these differences.
- A population-based cohort study analyzed California Cancer Registry data for 22,834 individuals aged 18-49 years diagnosed with EOCRC between January 2000 and December 2019.
- Researchers examined the association between mortality risk and racial and ethnic groups, including Asian American (15.5%, separated into seven subcategories), Hispanic (30.2%), Native Hawaiian or Other Pacific Islander (0.6%), non-Hispanic American Indian or Alaska Native (0.5%), non-Hispanic Black (7.3%), and non-Hispanic White (45.9%) individuals, with a median follow-up of 4.2 years.
- Statistical models measured baseline associations adjusting for clinical features and then tested for the contribution of socioeconomic factors together and separately, with adjustments for insurance status, neighborhood socioeconomic status, and more.
TAKEAWAY:
- Native Hawaiian or Other Pacific Islander individuals demonstrated the highest EOCRC mortality risk compared with non-Hispanic White individuals (socioeconomic status–adjusted HR [SES aHR], 1.34; 95% CI, 1.01-1.76).
- Non-Hispanic Black individuals showed a higher EOCRC mortality risk than non-Hispanic White individuals (SES aHR, 1.18; 95% CI, 1.07-1.29).
- Hispanic individuals’ higher EOCRC mortality (base aHR, 1.15; 95% CI, 1.08-1.22) disappeared after adjusting for neighborhood socioeconomic status (SES aHR, 0.98; 95% CI, 0.92-1.04).
- Southeast Asian individuals’ increased mortality risk (base aHR, 1.17; 95% CI, 1.03-1.34) was no longer significant after adjusting for insurance status (SES aHR, 1.10; 95% CI, 0.96-1.26).
IN PRACTICE:
“As clinicians and researchers, we should ask ourselves how to act on these findings,” wrote the authors of an invited commentary. “The effort cannot stop with data analysis alone, it must extend to actionable steps,” such as tailored efforts to deliver culturally competent care and patient navigation services to those with greatest need and at highest risk, they added.
SOURCE:
The study was led by Joshua Demb, PhD, University of California, San Diego. The study was published online on November 22 in JAMA Network Open (2024. doi: 10.1001/jamanetworkopen.2024.46820) with the invited commentary led by Clare E. Jacobson, MD, University of Michigan, Ann Arbor.
LIMITATIONS:
The study was limited by a relatively short follow-up time and small sample sizes in some racial and ethnic groups, potentially leading to imprecise aHR estimates. The generalizability of findings beyond California requires further investigation, and the ability to examine potential associations between neighborhood socioeconomic status and other factors was also constrained by small sample sizes.
DISCLOSURES:
The study received support from the National Cancer Institute at the National Institutes of Health. One study author reported receiving consulting fees from Guardant Health, InterVenn Biosciences, Geneoscopy, and Universal DX; research support from Freenome; and stock options from CellMax outside the submitted work. No other disclosures were reported by other authors of the study or the commentary.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
TOPLINE:
The largest racial and ethnic disparities in survival were linked to neighborhood socioeconomic status.
METHODOLOGY:
- US rates of EOCRC are increasing, with differences across racial and ethnic groups, but few studies have provided detailed risk estimates in the categories of Asian American and of Native Hawaiian or Other Pacific Islander, as well as the contribution of sociodemographic factors to these differences.
- A population-based cohort study analyzed California Cancer Registry data for 22,834 individuals aged 18-49 years diagnosed with EOCRC between January 2000 and December 2019.
- Researchers examined the association between mortality risk and racial and ethnic groups, including Asian American (15.5%, separated into seven subcategories), Hispanic (30.2%), Native Hawaiian or Other Pacific Islander (0.6%), non-Hispanic American Indian or Alaska Native (0.5%), non-Hispanic Black (7.3%), and non-Hispanic White (45.9%) individuals, with a median follow-up of 4.2 years.
- Statistical models measured baseline associations adjusting for clinical features and then tested for the contribution of socioeconomic factors together and separately, with adjustments for insurance status, neighborhood socioeconomic status, and more.
TAKEAWAY:
- Native Hawaiian or Other Pacific Islander individuals demonstrated the highest EOCRC mortality risk compared with non-Hispanic White individuals (socioeconomic status–adjusted HR [SES aHR], 1.34; 95% CI, 1.01-1.76).
- Non-Hispanic Black individuals showed a higher EOCRC mortality risk than non-Hispanic White individuals (SES aHR, 1.18; 95% CI, 1.07-1.29).
- Hispanic individuals’ higher EOCRC mortality (base aHR, 1.15; 95% CI, 1.08-1.22) disappeared after adjusting for neighborhood socioeconomic status (SES aHR, 0.98; 95% CI, 0.92-1.04).
- Southeast Asian individuals’ increased mortality risk (base aHR, 1.17; 95% CI, 1.03-1.34) was no longer significant after adjusting for insurance status (SES aHR, 1.10; 95% CI, 0.96-1.26).
IN PRACTICE:
“As clinicians and researchers, we should ask ourselves how to act on these findings,” wrote the authors of an invited commentary. “The effort cannot stop with data analysis alone, it must extend to actionable steps,” such as tailored efforts to deliver culturally competent care and patient navigation services to those with greatest need and at highest risk, they added.
SOURCE:
The study was led by Joshua Demb, PhD, University of California, San Diego. The study was published online on November 22 in JAMA Network Open (2024. doi: 10.1001/jamanetworkopen.2024.46820) with the invited commentary led by Clare E. Jacobson, MD, University of Michigan, Ann Arbor.
LIMITATIONS:
The study was limited by a relatively short follow-up time and small sample sizes in some racial and ethnic groups, potentially leading to imprecise aHR estimates. The generalizability of findings beyond California requires further investigation, and the ability to examine potential associations between neighborhood socioeconomic status and other factors was also constrained by small sample sizes.
DISCLOSURES:
The study received support from the National Cancer Institute at the National Institutes of Health. One study author reported receiving consulting fees from Guardant Health, InterVenn Biosciences, Geneoscopy, and Universal DX; research support from Freenome; and stock options from CellMax outside the submitted work. No other disclosures were reported by other authors of the study or the commentary.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
ASH 2024 Myeloma Studies: My Top 10 Picks
First, let me place my selected studies in context by acknowledging my biases. As a clinician, I’m prone to choosing clinical rather than basic science or translational work — even if translational work might well end up exerting a pivotal impact on practice in the future. And now — in no particular order — here are my picks:
IFM 2017-03 Phase 3 Study
Frail patients are underrepresented in most myeloma studies, yet in this randomized trial for newly diagnosed myeloma, exclusively frail patients were enrolled. The trial compared daratumumab/lenalidomide to lenalidomide/dexamethasone, and the most recent follow/up shows a progression-free survival (PFS) (48.5 vs 21 months) and overall survival (OS) (not reached vs 36 months) benefit to daratumumab/lenalidomide. What I see in practice is that anti-CD38 monoclonal antibodies are the best-tolerated drugs in this space and should be the backbone of any regimen for frail patients. Steroids should be omitted as early as possible. Future trials may optimize what to give in addition to the anti-CD38 therapy, and how to adapt/escalate therapy to frailty and clinical status, as lenalidomide remains difficult for such patients to tolerate.
AQUILA Study
This is a randomized, phase 3 comparison of daratumumab to observation for patients with smoldering myeloma. The endpoint was PFS. For context, similar studies done in asymptomatic CLL have shown improved PFS, but not OS, and the authors of such studies have concluded that improvement in PFS alone should not justify a change in approach.
This study shows that daratumumab can improve laboratory markers and reduce progression (60-month PFS rates of 63.1% for daratumumab vs 40.8% with observation). However, several important caveats remain. The protocol only mandated spine/pelvis MRI imaging, not whole-body MRI imaging, and such imaging was only performed once a year, which may not be frequent enough to catch lesions at an earlier stage. These details have important implications, as previous research shows that up to half of lesions can be missed by doing only a spine MRI, as opposed to a whole-body MRI.
All of this means that had more comprehensive imaging been done, many more patients may have been diagnosed with myeloma. Such patients may have been undertreated, and single agent daratumumab, with a response rate of just 63%, may not have been enough. Conversely, some patients may also have been overtreated using this approach, as the protocol allowed patients who had been diagnosed with smoldering myeloma up to 5 years earlier to be enrolled. Many of these people could have had indolent disease for years prior to enrollment and may not have ever progressed.
Further information is needed to help us understand this study better. What was the nature of the progression events: asymptomatic lab changes or morbid end organ damage? Was daratumumab given when patients in the control arm progressed to myeloma? My concern is that if patients in the control arm do not universally receive modern daratumumab-containing therapies when they develop myeloma, then an overall survival advantage may be shown simply because patients in the intervention arm are getting a good drug earlier in the disease, while those in the control arm are not getting a good drug at all. Nevertheless, despite these limitations, it is likely this trial will lead to regulatory approval of daratumumab in this space, and lots of discussions from patients and clinicians alike.
Extended Follow-Up of Anito-Cel in its First In-Human study
Two chimeric antigen receptor therapy (CAR-T) products are currently approved for myeloma. Cilta-cel is clearly effective but is associated with problematic late-onset neurological toxicities. Ide-cel appears much less effective. There is clearly a need for a product that is both effective and safe.
Anito-cel has two relevant abstracts this meeting that show much promise. Extended follow-up of anito-cel from its first in human study shows a promising 27-month PFS of 52%, and with no cases of delayed neurotoxicity. I also eagerly await further information from the registrational single-arm study of anti-cel being presented at ASH 2024, which should (hopefully) lead to its accelerated approval.
Screening for Myeloma for all People With Vertebral Fractures Likely Unnecessary
This elegant study of over 9,000 people with vertebral fractures shows that absolute risks for myeloma were 0.43% and 0.63% in women and men with grade 2-3 fractures, respectively, indicating that there is likely little benefit in evaluating asymptomatic individuals with incidentally discovered vertebral fractures for myeloma, unless other features are present. Spread the word.
Further Information on Cevostamab, Another Bispecific Option
We do need effective treatments for targets beyond just BCMA and GPRC5D. Cevostamab, a bispecific targeting FCRH5, represents another option, with updated data on 167 patients. With an overall response rate of 43% (duration of response, 10 months), and a response rate of about 30% in those with prior bispecific exposure, this data helps us contextualize expected benefits as we look forward to the eventual approval of this drug. The efficacy is relatively modest in those who have already progressed on bispecifics, but cevostamab would still be a welcome addition to our arsenal.
Is GPRC5D a Better Target for Car T Rather Than Bispecifics?
Our currently available GPRC5D bispecific (talquetamab) leads to high rates of skin, oral, and nail toxicity. This drug can also bring significant weight loss. These side effects make me consider that continuous targeting of GPRC5D through a bispecific may not be ideal, and that GPRC5D may be better as a one-time CAR T target. At ASH 2024, we will have 15-month follow-up data from BMS-986393, a GPRC5D CAR T. Response rates for this heavily pretreated population (76% of whom had triple refractory disease) were at 87%, with a median PFS of 14.5 months. Only 6% of patients experienced treatment-related weight loss, and nail (19%), skin (30%), and oral (31%) toxicities were relatively low. I look forward to updated data, as well as data on the resolution of the toxicities seen.
Daratumumab, a Game-Changer for AL Amyloidosis
A truly effective drug given early can change the natural history of disease, even if patients in the control arm only receive the drug later. A case in point is daratumumab. The 5-year survival rate was 76.1% for the daratumumab/cyclophosphamide/bortezomib/dexamethasone arm and 64.7% for cyclophosphamide/bortezomib/dexamethasone arm. This happened despite the fact that 67% of the control arm patients (among those who received therapy) went on to receive daratumumab later in the disease course.
Understanding how SMM Progresses to MM
We often hear that we should treat SMM and not just watch carefully because fractures may suddenly happen, or a patient may end up on dialysis. What this retrospective study tells us that amongst 427 patients with SMM, 42 had progression to myeloma, and amongst those 42, only 1 developed renal dysfunction (unclear if this resolved), and only 1 had lytic lesions that were symptomatic. The remainder were all asymptomatic lab and imaging changes. This is a retrospective study, and one should assume that follow-up was thus highly variable. It does not appear that diffusion weighted whole-body MRI imaging (our most sensitive imaging test) was employed universally or very frequently. Nevertheless, these powerful findings reassure us that, with close observation, morbidity is unlikely. Our group has designed a prospective study incorporating frequent diffusion weighted whole body MRI imaging to formally test this hypothesis (SPOTLIGHT, NCT06212323).
The Underperformance of Daratumumab/Lenalidomide/Dexamethasone in the Real World
At every major meeting I am reminded of the disconnect between real-world efficacy and clinical trial efficacy. Case in point: In this Austrian experience, daratumumab/lenalidomide/dexamethasone led to a PFS of 22.7 months vs 61.9 months in the MAIA trial of daratumumab/lenalidomide/dexamethasone. Such a sobering difference! And if you think this is an isolated experience, even in a US real-world cohort, consider that in a recently published comparative study dara/len/dex underperformed, although the time to next treatment or death was longer (37.8 months).
Delayed Neurotoxicity may not be Just a Consequence of high tumor burden
We currently think that some of the scariest side effects of cilta-cel, such as delayed neurotoxicity, may be a consequence of a high number of cancer cells and may be prevented by better disease control at the time of infusion. This study, a sobering analysis of 52 patients with delayed neurotoxicity occurring after CAR T, included 8 patients (15%) who were not heavily pretreated, and all had less than 5% plasma cells at the time of infusion. None of these patients had extramedullary disease. This result worries me, especially because cilta-cel is being studied and is poised for future approval in earlier line settings. It suggests that this toxicity may not always be a product of disease burden, contrary to our current belief.
I will be paying close attention to these 10 myeloma studies at ASH 2024, where I look forward to meeting you and learning more.Dr. Mohyuddin is assistant professor in the multiple myeloma program at the Huntsman Cancer Institute at the University of Utah, Salt Lake City.
First, let me place my selected studies in context by acknowledging my biases. As a clinician, I’m prone to choosing clinical rather than basic science or translational work — even if translational work might well end up exerting a pivotal impact on practice in the future. And now — in no particular order — here are my picks:
IFM 2017-03 Phase 3 Study
Frail patients are underrepresented in most myeloma studies, yet in this randomized trial for newly diagnosed myeloma, exclusively frail patients were enrolled. The trial compared daratumumab/lenalidomide to lenalidomide/dexamethasone, and the most recent follow/up shows a progression-free survival (PFS) (48.5 vs 21 months) and overall survival (OS) (not reached vs 36 months) benefit to daratumumab/lenalidomide. What I see in practice is that anti-CD38 monoclonal antibodies are the best-tolerated drugs in this space and should be the backbone of any regimen for frail patients. Steroids should be omitted as early as possible. Future trials may optimize what to give in addition to the anti-CD38 therapy, and how to adapt/escalate therapy to frailty and clinical status, as lenalidomide remains difficult for such patients to tolerate.
AQUILA Study
This is a randomized, phase 3 comparison of daratumumab to observation for patients with smoldering myeloma. The endpoint was PFS. For context, similar studies done in asymptomatic CLL have shown improved PFS, but not OS, and the authors of such studies have concluded that improvement in PFS alone should not justify a change in approach.
This study shows that daratumumab can improve laboratory markers and reduce progression (60-month PFS rates of 63.1% for daratumumab vs 40.8% with observation). However, several important caveats remain. The protocol only mandated spine/pelvis MRI imaging, not whole-body MRI imaging, and such imaging was only performed once a year, which may not be frequent enough to catch lesions at an earlier stage. These details have important implications, as previous research shows that up to half of lesions can be missed by doing only a spine MRI, as opposed to a whole-body MRI.
All of this means that had more comprehensive imaging been done, many more patients may have been diagnosed with myeloma. Such patients may have been undertreated, and single agent daratumumab, with a response rate of just 63%, may not have been enough. Conversely, some patients may also have been overtreated using this approach, as the protocol allowed patients who had been diagnosed with smoldering myeloma up to 5 years earlier to be enrolled. Many of these people could have had indolent disease for years prior to enrollment and may not have ever progressed.
Further information is needed to help us understand this study better. What was the nature of the progression events: asymptomatic lab changes or morbid end organ damage? Was daratumumab given when patients in the control arm progressed to myeloma? My concern is that if patients in the control arm do not universally receive modern daratumumab-containing therapies when they develop myeloma, then an overall survival advantage may be shown simply because patients in the intervention arm are getting a good drug earlier in the disease, while those in the control arm are not getting a good drug at all. Nevertheless, despite these limitations, it is likely this trial will lead to regulatory approval of daratumumab in this space, and lots of discussions from patients and clinicians alike.
Extended Follow-Up of Anito-Cel in its First In-Human study
Two chimeric antigen receptor therapy (CAR-T) products are currently approved for myeloma. Cilta-cel is clearly effective but is associated with problematic late-onset neurological toxicities. Ide-cel appears much less effective. There is clearly a need for a product that is both effective and safe.
Anito-cel has two relevant abstracts this meeting that show much promise. Extended follow-up of anito-cel from its first in human study shows a promising 27-month PFS of 52%, and with no cases of delayed neurotoxicity. I also eagerly await further information from the registrational single-arm study of anti-cel being presented at ASH 2024, which should (hopefully) lead to its accelerated approval.
Screening for Myeloma for all People With Vertebral Fractures Likely Unnecessary
This elegant study of over 9,000 people with vertebral fractures shows that absolute risks for myeloma were 0.43% and 0.63% in women and men with grade 2-3 fractures, respectively, indicating that there is likely little benefit in evaluating asymptomatic individuals with incidentally discovered vertebral fractures for myeloma, unless other features are present. Spread the word.
Further Information on Cevostamab, Another Bispecific Option
We do need effective treatments for targets beyond just BCMA and GPRC5D. Cevostamab, a bispecific targeting FCRH5, represents another option, with updated data on 167 patients. With an overall response rate of 43% (duration of response, 10 months), and a response rate of about 30% in those with prior bispecific exposure, this data helps us contextualize expected benefits as we look forward to the eventual approval of this drug. The efficacy is relatively modest in those who have already progressed on bispecifics, but cevostamab would still be a welcome addition to our arsenal.
Is GPRC5D a Better Target for Car T Rather Than Bispecifics?
Our currently available GPRC5D bispecific (talquetamab) leads to high rates of skin, oral, and nail toxicity. This drug can also bring significant weight loss. These side effects make me consider that continuous targeting of GPRC5D through a bispecific may not be ideal, and that GPRC5D may be better as a one-time CAR T target. At ASH 2024, we will have 15-month follow-up data from BMS-986393, a GPRC5D CAR T. Response rates for this heavily pretreated population (76% of whom had triple refractory disease) were at 87%, with a median PFS of 14.5 months. Only 6% of patients experienced treatment-related weight loss, and nail (19%), skin (30%), and oral (31%) toxicities were relatively low. I look forward to updated data, as well as data on the resolution of the toxicities seen.
Daratumumab, a Game-Changer for AL Amyloidosis
A truly effective drug given early can change the natural history of disease, even if patients in the control arm only receive the drug later. A case in point is daratumumab. The 5-year survival rate was 76.1% for the daratumumab/cyclophosphamide/bortezomib/dexamethasone arm and 64.7% for cyclophosphamide/bortezomib/dexamethasone arm. This happened despite the fact that 67% of the control arm patients (among those who received therapy) went on to receive daratumumab later in the disease course.
Understanding how SMM Progresses to MM
We often hear that we should treat SMM and not just watch carefully because fractures may suddenly happen, or a patient may end up on dialysis. What this retrospective study tells us that amongst 427 patients with SMM, 42 had progression to myeloma, and amongst those 42, only 1 developed renal dysfunction (unclear if this resolved), and only 1 had lytic lesions that were symptomatic. The remainder were all asymptomatic lab and imaging changes. This is a retrospective study, and one should assume that follow-up was thus highly variable. It does not appear that diffusion weighted whole-body MRI imaging (our most sensitive imaging test) was employed universally or very frequently. Nevertheless, these powerful findings reassure us that, with close observation, morbidity is unlikely. Our group has designed a prospective study incorporating frequent diffusion weighted whole body MRI imaging to formally test this hypothesis (SPOTLIGHT, NCT06212323).
The Underperformance of Daratumumab/Lenalidomide/Dexamethasone in the Real World
At every major meeting I am reminded of the disconnect between real-world efficacy and clinical trial efficacy. Case in point: In this Austrian experience, daratumumab/lenalidomide/dexamethasone led to a PFS of 22.7 months vs 61.9 months in the MAIA trial of daratumumab/lenalidomide/dexamethasone. Such a sobering difference! And if you think this is an isolated experience, even in a US real-world cohort, consider that in a recently published comparative study dara/len/dex underperformed, although the time to next treatment or death was longer (37.8 months).
Delayed Neurotoxicity may not be Just a Consequence of high tumor burden
We currently think that some of the scariest side effects of cilta-cel, such as delayed neurotoxicity, may be a consequence of a high number of cancer cells and may be prevented by better disease control at the time of infusion. This study, a sobering analysis of 52 patients with delayed neurotoxicity occurring after CAR T, included 8 patients (15%) who were not heavily pretreated, and all had less than 5% plasma cells at the time of infusion. None of these patients had extramedullary disease. This result worries me, especially because cilta-cel is being studied and is poised for future approval in earlier line settings. It suggests that this toxicity may not always be a product of disease burden, contrary to our current belief.
I will be paying close attention to these 10 myeloma studies at ASH 2024, where I look forward to meeting you and learning more.Dr. Mohyuddin is assistant professor in the multiple myeloma program at the Huntsman Cancer Institute at the University of Utah, Salt Lake City.
First, let me place my selected studies in context by acknowledging my biases. As a clinician, I’m prone to choosing clinical rather than basic science or translational work — even if translational work might well end up exerting a pivotal impact on practice in the future. And now — in no particular order — here are my picks:
IFM 2017-03 Phase 3 Study
Frail patients are underrepresented in most myeloma studies, yet in this randomized trial for newly diagnosed myeloma, exclusively frail patients were enrolled. The trial compared daratumumab/lenalidomide to lenalidomide/dexamethasone, and the most recent follow/up shows a progression-free survival (PFS) (48.5 vs 21 months) and overall survival (OS) (not reached vs 36 months) benefit to daratumumab/lenalidomide. What I see in practice is that anti-CD38 monoclonal antibodies are the best-tolerated drugs in this space and should be the backbone of any regimen for frail patients. Steroids should be omitted as early as possible. Future trials may optimize what to give in addition to the anti-CD38 therapy, and how to adapt/escalate therapy to frailty and clinical status, as lenalidomide remains difficult for such patients to tolerate.
AQUILA Study
This is a randomized, phase 3 comparison of daratumumab to observation for patients with smoldering myeloma. The endpoint was PFS. For context, similar studies done in asymptomatic CLL have shown improved PFS, but not OS, and the authors of such studies have concluded that improvement in PFS alone should not justify a change in approach.
This study shows that daratumumab can improve laboratory markers and reduce progression (60-month PFS rates of 63.1% for daratumumab vs 40.8% with observation). However, several important caveats remain. The protocol only mandated spine/pelvis MRI imaging, not whole-body MRI imaging, and such imaging was only performed once a year, which may not be frequent enough to catch lesions at an earlier stage. These details have important implications, as previous research shows that up to half of lesions can be missed by doing only a spine MRI, as opposed to a whole-body MRI.
All of this means that had more comprehensive imaging been done, many more patients may have been diagnosed with myeloma. Such patients may have been undertreated, and single agent daratumumab, with a response rate of just 63%, may not have been enough. Conversely, some patients may also have been overtreated using this approach, as the protocol allowed patients who had been diagnosed with smoldering myeloma up to 5 years earlier to be enrolled. Many of these people could have had indolent disease for years prior to enrollment and may not have ever progressed.
Further information is needed to help us understand this study better. What was the nature of the progression events: asymptomatic lab changes or morbid end organ damage? Was daratumumab given when patients in the control arm progressed to myeloma? My concern is that if patients in the control arm do not universally receive modern daratumumab-containing therapies when they develop myeloma, then an overall survival advantage may be shown simply because patients in the intervention arm are getting a good drug earlier in the disease, while those in the control arm are not getting a good drug at all. Nevertheless, despite these limitations, it is likely this trial will lead to regulatory approval of daratumumab in this space, and lots of discussions from patients and clinicians alike.
Extended Follow-Up of Anito-Cel in its First In-Human study
Two chimeric antigen receptor therapy (CAR-T) products are currently approved for myeloma. Cilta-cel is clearly effective but is associated with problematic late-onset neurological toxicities. Ide-cel appears much less effective. There is clearly a need for a product that is both effective and safe.
Anito-cel has two relevant abstracts this meeting that show much promise. Extended follow-up of anito-cel from its first in human study shows a promising 27-month PFS of 52%, and with no cases of delayed neurotoxicity. I also eagerly await further information from the registrational single-arm study of anti-cel being presented at ASH 2024, which should (hopefully) lead to its accelerated approval.
Screening for Myeloma for all People With Vertebral Fractures Likely Unnecessary
This elegant study of over 9,000 people with vertebral fractures shows that absolute risks for myeloma were 0.43% and 0.63% in women and men with grade 2-3 fractures, respectively, indicating that there is likely little benefit in evaluating asymptomatic individuals with incidentally discovered vertebral fractures for myeloma, unless other features are present. Spread the word.
Further Information on Cevostamab, Another Bispecific Option
We do need effective treatments for targets beyond just BCMA and GPRC5D. Cevostamab, a bispecific targeting FCRH5, represents another option, with updated data on 167 patients. With an overall response rate of 43% (duration of response, 10 months), and a response rate of about 30% in those with prior bispecific exposure, this data helps us contextualize expected benefits as we look forward to the eventual approval of this drug. The efficacy is relatively modest in those who have already progressed on bispecifics, but cevostamab would still be a welcome addition to our arsenal.
Is GPRC5D a Better Target for Car T Rather Than Bispecifics?
Our currently available GPRC5D bispecific (talquetamab) leads to high rates of skin, oral, and nail toxicity. This drug can also bring significant weight loss. These side effects make me consider that continuous targeting of GPRC5D through a bispecific may not be ideal, and that GPRC5D may be better as a one-time CAR T target. At ASH 2024, we will have 15-month follow-up data from BMS-986393, a GPRC5D CAR T. Response rates for this heavily pretreated population (76% of whom had triple refractory disease) were at 87%, with a median PFS of 14.5 months. Only 6% of patients experienced treatment-related weight loss, and nail (19%), skin (30%), and oral (31%) toxicities were relatively low. I look forward to updated data, as well as data on the resolution of the toxicities seen.
Daratumumab, a Game-Changer for AL Amyloidosis
A truly effective drug given early can change the natural history of disease, even if patients in the control arm only receive the drug later. A case in point is daratumumab. The 5-year survival rate was 76.1% for the daratumumab/cyclophosphamide/bortezomib/dexamethasone arm and 64.7% for cyclophosphamide/bortezomib/dexamethasone arm. This happened despite the fact that 67% of the control arm patients (among those who received therapy) went on to receive daratumumab later in the disease course.
Understanding how SMM Progresses to MM
We often hear that we should treat SMM and not just watch carefully because fractures may suddenly happen, or a patient may end up on dialysis. What this retrospective study tells us that amongst 427 patients with SMM, 42 had progression to myeloma, and amongst those 42, only 1 developed renal dysfunction (unclear if this resolved), and only 1 had lytic lesions that were symptomatic. The remainder were all asymptomatic lab and imaging changes. This is a retrospective study, and one should assume that follow-up was thus highly variable. It does not appear that diffusion weighted whole-body MRI imaging (our most sensitive imaging test) was employed universally or very frequently. Nevertheless, these powerful findings reassure us that, with close observation, morbidity is unlikely. Our group has designed a prospective study incorporating frequent diffusion weighted whole body MRI imaging to formally test this hypothesis (SPOTLIGHT, NCT06212323).
The Underperformance of Daratumumab/Lenalidomide/Dexamethasone in the Real World
At every major meeting I am reminded of the disconnect between real-world efficacy and clinical trial efficacy. Case in point: In this Austrian experience, daratumumab/lenalidomide/dexamethasone led to a PFS of 22.7 months vs 61.9 months in the MAIA trial of daratumumab/lenalidomide/dexamethasone. Such a sobering difference! And if you think this is an isolated experience, even in a US real-world cohort, consider that in a recently published comparative study dara/len/dex underperformed, although the time to next treatment or death was longer (37.8 months).
Delayed Neurotoxicity may not be Just a Consequence of high tumor burden
We currently think that some of the scariest side effects of cilta-cel, such as delayed neurotoxicity, may be a consequence of a high number of cancer cells and may be prevented by better disease control at the time of infusion. This study, a sobering analysis of 52 patients with delayed neurotoxicity occurring after CAR T, included 8 patients (15%) who were not heavily pretreated, and all had less than 5% plasma cells at the time of infusion. None of these patients had extramedullary disease. This result worries me, especially because cilta-cel is being studied and is poised for future approval in earlier line settings. It suggests that this toxicity may not always be a product of disease burden, contrary to our current belief.
I will be paying close attention to these 10 myeloma studies at ASH 2024, where I look forward to meeting you and learning more.Dr. Mohyuddin is assistant professor in the multiple myeloma program at the Huntsman Cancer Institute at the University of Utah, Salt Lake City.
FDA Approves Bispecific HER2 Antibody for Biliary Tract Cancer
This approval makes the bispecific antibody the first HER2-targeted treatment to carry the indication.
Zanidatamab binds two separate regions on the HER2 cell surface protein, crosslinking neighboring HER2 proteins, blocking HER2 signaling, and inducing cytotoxic immune responses.
The FDA simultaneously announced that it has also approved VENTANA PATHWAY anti–HER2/neu (4B5) Rabbit Monoclonal Primary Antibody (Ventana Medical Systems, Inc./Roche Diagnostics) as a companion diagnostic device to aid in identifying patients with BTC who may be eligible for treatment with zanidatamab.
Zanidatamab Trial Results
The approval of zanidatamab was based on the phase 2b HERIZON-BTC-01 trial— which was open-label, multicenter, and single-arm — involving 62 patients with unresectable or metastatic HER2-positive (IHC3+) BTC. In this trial, zanidatamab 20 mg/kg was administered every 2 weeks to patients who had received gemcitabine-containing chemotherapy previously but not a HER2-targeted therapy.
The objective response rate was 52%, and the median duration of response was 14.9 months, according to the statement from the FDA.
The life expectancy for advanced BTC treated in the second line with standard chemotherapy is approximately 6-9 months, according to Jazz Pharmaceuticals.
Boxed Warning and Adverse Events
The prescribing information contains a boxed warning for embryo-fetal toxicity. The most common adverse reactions reported in at least 20% of patients who received zanidatamab were diarrhea, infusion-related reactions, abdominal pain, and fatigue.
The recommended zanidatamab dose is 20 mg/kg, administered as an intravenous infusion once every 2 weeks until progression or unacceptable toxicity.
Jazz Pharmaceuticals’ application was granted priority review, breakthrough therapy designation, and orphan drug designation.
An ongoing phase 3 trial, HERIZON-BTC-302, is testing zanidatamab in combination with standard-of-care therapy in the first-line setting for advanced or metastatic HER2-positive BTC. The bispecific antibody is also being developed for HER2-positive advanced/metastatic gastroesophageal adenocarcinoma.
A version of this article appeared on Medscape.com.
This approval makes the bispecific antibody the first HER2-targeted treatment to carry the indication.
Zanidatamab binds two separate regions on the HER2 cell surface protein, crosslinking neighboring HER2 proteins, blocking HER2 signaling, and inducing cytotoxic immune responses.
The FDA simultaneously announced that it has also approved VENTANA PATHWAY anti–HER2/neu (4B5) Rabbit Monoclonal Primary Antibody (Ventana Medical Systems, Inc./Roche Diagnostics) as a companion diagnostic device to aid in identifying patients with BTC who may be eligible for treatment with zanidatamab.
Zanidatamab Trial Results
The approval of zanidatamab was based on the phase 2b HERIZON-BTC-01 trial— which was open-label, multicenter, and single-arm — involving 62 patients with unresectable or metastatic HER2-positive (IHC3+) BTC. In this trial, zanidatamab 20 mg/kg was administered every 2 weeks to patients who had received gemcitabine-containing chemotherapy previously but not a HER2-targeted therapy.
The objective response rate was 52%, and the median duration of response was 14.9 months, according to the statement from the FDA.
The life expectancy for advanced BTC treated in the second line with standard chemotherapy is approximately 6-9 months, according to Jazz Pharmaceuticals.
Boxed Warning and Adverse Events
The prescribing information contains a boxed warning for embryo-fetal toxicity. The most common adverse reactions reported in at least 20% of patients who received zanidatamab were diarrhea, infusion-related reactions, abdominal pain, and fatigue.
The recommended zanidatamab dose is 20 mg/kg, administered as an intravenous infusion once every 2 weeks until progression or unacceptable toxicity.
Jazz Pharmaceuticals’ application was granted priority review, breakthrough therapy designation, and orphan drug designation.
An ongoing phase 3 trial, HERIZON-BTC-302, is testing zanidatamab in combination with standard-of-care therapy in the first-line setting for advanced or metastatic HER2-positive BTC. The bispecific antibody is also being developed for HER2-positive advanced/metastatic gastroesophageal adenocarcinoma.
A version of this article appeared on Medscape.com.
This approval makes the bispecific antibody the first HER2-targeted treatment to carry the indication.
Zanidatamab binds two separate regions on the HER2 cell surface protein, crosslinking neighboring HER2 proteins, blocking HER2 signaling, and inducing cytotoxic immune responses.
The FDA simultaneously announced that it has also approved VENTANA PATHWAY anti–HER2/neu (4B5) Rabbit Monoclonal Primary Antibody (Ventana Medical Systems, Inc./Roche Diagnostics) as a companion diagnostic device to aid in identifying patients with BTC who may be eligible for treatment with zanidatamab.
Zanidatamab Trial Results
The approval of zanidatamab was based on the phase 2b HERIZON-BTC-01 trial— which was open-label, multicenter, and single-arm — involving 62 patients with unresectable or metastatic HER2-positive (IHC3+) BTC. In this trial, zanidatamab 20 mg/kg was administered every 2 weeks to patients who had received gemcitabine-containing chemotherapy previously but not a HER2-targeted therapy.
The objective response rate was 52%, and the median duration of response was 14.9 months, according to the statement from the FDA.
The life expectancy for advanced BTC treated in the second line with standard chemotherapy is approximately 6-9 months, according to Jazz Pharmaceuticals.
Boxed Warning and Adverse Events
The prescribing information contains a boxed warning for embryo-fetal toxicity. The most common adverse reactions reported in at least 20% of patients who received zanidatamab were diarrhea, infusion-related reactions, abdominal pain, and fatigue.
The recommended zanidatamab dose is 20 mg/kg, administered as an intravenous infusion once every 2 weeks until progression or unacceptable toxicity.
Jazz Pharmaceuticals’ application was granted priority review, breakthrough therapy designation, and orphan drug designation.
An ongoing phase 3 trial, HERIZON-BTC-302, is testing zanidatamab in combination with standard-of-care therapy in the first-line setting for advanced or metastatic HER2-positive BTC. The bispecific antibody is also being developed for HER2-positive advanced/metastatic gastroesophageal adenocarcinoma.
A version of this article appeared on Medscape.com.
NCCN Expands Cancer Genetic Risk Assessment Guidelines
Additional cancer types were included in the title and content for both guidelines. Prostate cancer was added to Genetic/Familial High-Risk Assessment: Breast, Ovarian, Pancreatic, and Prostate, and endometrial and gastric cancer were added to Genetic/Familial High-Risk Assessment: Colorectal, Endometrial, and Gastric.
For these cancers, the expanded guidelines include information on when genetic testing is recommended and what type of testing may be best. These guidelines also detail the hereditary conditions and genetic mutations associated with elevated cancer risk and include appropriate “next steps” for individuals who have them, which may involve increased screening or prevention surgeries.
“These updates include the spectrum of genes associated with genetic syndromes, the range of risk associated with each pathogenic variant, the improvements in screening and prevention strategies, the role of genetic data to inform cancer treatment, and the expansion of the role of genetic counseling as this field moves forward,” Mary B. Daly, MD, PhD, with Fox Chase Cancer Center, Philadelphia, Pennsylvania, said in a news release. Daly chaired the panel that updated the breast, ovarian, pancreatic, and prostate cancer guidelines.
Oncologists should, for instance, ask patients about their family and personal history of cancer and known germline variants at time of initial diagnosis. With prostate cancer, if patients meet criteria for germline testing, multigene testing should include a host of variants, including BRCA1, BRCA2, ATM, PALB2, CHEK2, HOXB13, MLH1, MSH2, MSH6, and PMS2.
The updated guidelines on genetic risk assessment of colorectal, endometrial, and gastric cancer include new recommendations to consider for hereditary cancer screening in patients with newly diagnosed endometrial cancer, for evaluating and managing CDH1-associated gastric cancer risk, and for managing gastric cancer risk in patients with APC pathogenic variants.
For CDH1-associated gastric cancer, for instance, the guidelines recommend carriers be referred to institutions with expertise in managing risks for cancer associated with CDH1, “given the still limited understanding and rarity of this syndrome.”
“These expanded guidelines reflect the recommendations from leading experts on genetic testing based on the latest scientific research across the cancer spectrum, consolidated into two convenient resources,” said NCCN CEO Crystal S. Denlinger, MD, with Fox Chase Cancer Center, in a news release.
“This information is critical for guiding shared decision-making between health care providers and their patients, enhancing screening practices as appropriate, and potentially choosing options for prevention and targeted treatment choices. Genetic testing guidelines enable us to better care for people with cancer and their family members,” Denlinger added.
A version of this article first appeared on Medscape.com.
Additional cancer types were included in the title and content for both guidelines. Prostate cancer was added to Genetic/Familial High-Risk Assessment: Breast, Ovarian, Pancreatic, and Prostate, and endometrial and gastric cancer were added to Genetic/Familial High-Risk Assessment: Colorectal, Endometrial, and Gastric.
For these cancers, the expanded guidelines include information on when genetic testing is recommended and what type of testing may be best. These guidelines also detail the hereditary conditions and genetic mutations associated with elevated cancer risk and include appropriate “next steps” for individuals who have them, which may involve increased screening or prevention surgeries.
“These updates include the spectrum of genes associated with genetic syndromes, the range of risk associated with each pathogenic variant, the improvements in screening and prevention strategies, the role of genetic data to inform cancer treatment, and the expansion of the role of genetic counseling as this field moves forward,” Mary B. Daly, MD, PhD, with Fox Chase Cancer Center, Philadelphia, Pennsylvania, said in a news release. Daly chaired the panel that updated the breast, ovarian, pancreatic, and prostate cancer guidelines.
Oncologists should, for instance, ask patients about their family and personal history of cancer and known germline variants at time of initial diagnosis. With prostate cancer, if patients meet criteria for germline testing, multigene testing should include a host of variants, including BRCA1, BRCA2, ATM, PALB2, CHEK2, HOXB13, MLH1, MSH2, MSH6, and PMS2.
The updated guidelines on genetic risk assessment of colorectal, endometrial, and gastric cancer include new recommendations to consider for hereditary cancer screening in patients with newly diagnosed endometrial cancer, for evaluating and managing CDH1-associated gastric cancer risk, and for managing gastric cancer risk in patients with APC pathogenic variants.
For CDH1-associated gastric cancer, for instance, the guidelines recommend carriers be referred to institutions with expertise in managing risks for cancer associated with CDH1, “given the still limited understanding and rarity of this syndrome.”
“These expanded guidelines reflect the recommendations from leading experts on genetic testing based on the latest scientific research across the cancer spectrum, consolidated into two convenient resources,” said NCCN CEO Crystal S. Denlinger, MD, with Fox Chase Cancer Center, in a news release.
“This information is critical for guiding shared decision-making between health care providers and their patients, enhancing screening practices as appropriate, and potentially choosing options for prevention and targeted treatment choices. Genetic testing guidelines enable us to better care for people with cancer and their family members,” Denlinger added.
A version of this article first appeared on Medscape.com.
Additional cancer types were included in the title and content for both guidelines. Prostate cancer was added to Genetic/Familial High-Risk Assessment: Breast, Ovarian, Pancreatic, and Prostate, and endometrial and gastric cancer were added to Genetic/Familial High-Risk Assessment: Colorectal, Endometrial, and Gastric.
For these cancers, the expanded guidelines include information on when genetic testing is recommended and what type of testing may be best. These guidelines also detail the hereditary conditions and genetic mutations associated with elevated cancer risk and include appropriate “next steps” for individuals who have them, which may involve increased screening or prevention surgeries.
“These updates include the spectrum of genes associated with genetic syndromes, the range of risk associated with each pathogenic variant, the improvements in screening and prevention strategies, the role of genetic data to inform cancer treatment, and the expansion of the role of genetic counseling as this field moves forward,” Mary B. Daly, MD, PhD, with Fox Chase Cancer Center, Philadelphia, Pennsylvania, said in a news release. Daly chaired the panel that updated the breast, ovarian, pancreatic, and prostate cancer guidelines.
Oncologists should, for instance, ask patients about their family and personal history of cancer and known germline variants at time of initial diagnosis. With prostate cancer, if patients meet criteria for germline testing, multigene testing should include a host of variants, including BRCA1, BRCA2, ATM, PALB2, CHEK2, HOXB13, MLH1, MSH2, MSH6, and PMS2.
The updated guidelines on genetic risk assessment of colorectal, endometrial, and gastric cancer include new recommendations to consider for hereditary cancer screening in patients with newly diagnosed endometrial cancer, for evaluating and managing CDH1-associated gastric cancer risk, and for managing gastric cancer risk in patients with APC pathogenic variants.
For CDH1-associated gastric cancer, for instance, the guidelines recommend carriers be referred to institutions with expertise in managing risks for cancer associated with CDH1, “given the still limited understanding and rarity of this syndrome.”
“These expanded guidelines reflect the recommendations from leading experts on genetic testing based on the latest scientific research across the cancer spectrum, consolidated into two convenient resources,” said NCCN CEO Crystal S. Denlinger, MD, with Fox Chase Cancer Center, in a news release.
“This information is critical for guiding shared decision-making between health care providers and their patients, enhancing screening practices as appropriate, and potentially choosing options for prevention and targeted treatment choices. Genetic testing guidelines enable us to better care for people with cancer and their family members,” Denlinger added.
A version of this article first appeared on Medscape.com.
Which Breast Cancer Patients Can Skip Postop Radiotherapy?
TOPLINE:
Overall, patients with a high POLAR score derived a significant benefit from adjuvant radiotherapy, while those with a low score did not and might consider forgoing radiotherapy.
METHODOLOGY:
- Radiation therapy after breast-conserving surgery has been shown to reduce the risk for locoregional recurrence and is a standard approach to manage early breast cancer. However, certain patients with low locoregional recurrence risks may not necessarily benefit from adjuvant radiation, but there has not been a commercially available molecular test to help identify which patients that might be.
- In the current analysis, researchers assessed whether the POLAR biomarker test could reliably predict locoregional recurrence as well as identify patients who would not benefit from radiotherapy.
- The meta-analysis used data from three randomized trials — Scottish Conservation Trial, SweBCG91-RT, and Princess Margaret RT trial — to validate the POLAR biomarker test in patients with low-risk, HR-positive, HER2-negative, node-negative breast cancer.
- The analysis included 623 patients (ages 50-76), of whom 429 (69%) had high POLAR scores and 194 (31%) had low POLAR scores.
- The primary endpoint was the time to locoregional recurrence, and secondary endpoints included evaluating POLAR as a prognostic factor for locoregional recurrence in patients without radiotherapy and effect of radiotherapy in patients with low and high POLAR scores.
TAKEAWAY:
- Patients with high POLAR scores demonstrated a significant benefit from radiotherapy. The 10-year locoregional recurrence rate was 7% with radiotherapy vs 20% without radiotherapy (hazard ratio [HR], 0.37; P < .001).
- Patients with low POLAR scores, however, did not experience a significant benefit from radiotherapy. In this group, the 10-year locoregional recurrence rates were similar with and without radiotherapy (7% vs 5%, respectively; HR, 0.92; P = .832), indicating that radiotherapy could potentially be omitted for these patients.
- Among patients who did not receive radiotherapy (n = 309), higher POLAR scores predicted a greater risk for recurrence, suggesting the genomic signature has prognostic value. There is no evidence, however, that POLAR predicts radiotherapy benefit or predicts patients’ risk for distant metastases or mortality.
IN PRACTICE:
“This meta-analysis from three randomized controlled trials clearly demonstrates the clinical potential for POLAR to be used in smaller estrogen receptor positive node negative breast cancer patients to identify those women who do not appear to benefit from the use of post-operative adjuvant radiotherapy,” the authors wrote. “ This classifier is an important step towards molecularly-stratified targeting of the use of radiotherapy.”
SOURCE:
The study, led by Per Karlsson, MD, PhD, University of Gothenburg, Sweden, was published online in the Journal of the National Cancer Institute.
LIMITATIONS:
One cohort (SweBCG) had limited use of adjuvant systemic therapy, which could affect generalizability. Additionally, low numbers of patients with low POLAR scores in two trials could affect the observed benefit of radiotherapy.
DISCLOSURES:
This study was supported by the Breast Cancer Institute Fund (Edinburgh and Lothians Health Foundation), Canadian Institutes of Health Research, Exact Sciences Corporation, PFS Genomics, Swedish Cancer Society, and Swedish Research Council. One author reported being an employee and owning stock or stock options or patents with Exact Sciences. Several authors reported having various ties with various sources including Exact Sciences.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
Overall, patients with a high POLAR score derived a significant benefit from adjuvant radiotherapy, while those with a low score did not and might consider forgoing radiotherapy.
METHODOLOGY:
- Radiation therapy after breast-conserving surgery has been shown to reduce the risk for locoregional recurrence and is a standard approach to manage early breast cancer. However, certain patients with low locoregional recurrence risks may not necessarily benefit from adjuvant radiation, but there has not been a commercially available molecular test to help identify which patients that might be.
- In the current analysis, researchers assessed whether the POLAR biomarker test could reliably predict locoregional recurrence as well as identify patients who would not benefit from radiotherapy.
- The meta-analysis used data from three randomized trials — Scottish Conservation Trial, SweBCG91-RT, and Princess Margaret RT trial — to validate the POLAR biomarker test in patients with low-risk, HR-positive, HER2-negative, node-negative breast cancer.
- The analysis included 623 patients (ages 50-76), of whom 429 (69%) had high POLAR scores and 194 (31%) had low POLAR scores.
- The primary endpoint was the time to locoregional recurrence, and secondary endpoints included evaluating POLAR as a prognostic factor for locoregional recurrence in patients without radiotherapy and effect of radiotherapy in patients with low and high POLAR scores.
TAKEAWAY:
- Patients with high POLAR scores demonstrated a significant benefit from radiotherapy. The 10-year locoregional recurrence rate was 7% with radiotherapy vs 20% without radiotherapy (hazard ratio [HR], 0.37; P < .001).
- Patients with low POLAR scores, however, did not experience a significant benefit from radiotherapy. In this group, the 10-year locoregional recurrence rates were similar with and without radiotherapy (7% vs 5%, respectively; HR, 0.92; P = .832), indicating that radiotherapy could potentially be omitted for these patients.
- Among patients who did not receive radiotherapy (n = 309), higher POLAR scores predicted a greater risk for recurrence, suggesting the genomic signature has prognostic value. There is no evidence, however, that POLAR predicts radiotherapy benefit or predicts patients’ risk for distant metastases or mortality.
IN PRACTICE:
“This meta-analysis from three randomized controlled trials clearly demonstrates the clinical potential for POLAR to be used in smaller estrogen receptor positive node negative breast cancer patients to identify those women who do not appear to benefit from the use of post-operative adjuvant radiotherapy,” the authors wrote. “ This classifier is an important step towards molecularly-stratified targeting of the use of radiotherapy.”
SOURCE:
The study, led by Per Karlsson, MD, PhD, University of Gothenburg, Sweden, was published online in the Journal of the National Cancer Institute.
LIMITATIONS:
One cohort (SweBCG) had limited use of adjuvant systemic therapy, which could affect generalizability. Additionally, low numbers of patients with low POLAR scores in two trials could affect the observed benefit of radiotherapy.
DISCLOSURES:
This study was supported by the Breast Cancer Institute Fund (Edinburgh and Lothians Health Foundation), Canadian Institutes of Health Research, Exact Sciences Corporation, PFS Genomics, Swedish Cancer Society, and Swedish Research Council. One author reported being an employee and owning stock or stock options or patents with Exact Sciences. Several authors reported having various ties with various sources including Exact Sciences.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
Overall, patients with a high POLAR score derived a significant benefit from adjuvant radiotherapy, while those with a low score did not and might consider forgoing radiotherapy.
METHODOLOGY:
- Radiation therapy after breast-conserving surgery has been shown to reduce the risk for locoregional recurrence and is a standard approach to manage early breast cancer. However, certain patients with low locoregional recurrence risks may not necessarily benefit from adjuvant radiation, but there has not been a commercially available molecular test to help identify which patients that might be.
- In the current analysis, researchers assessed whether the POLAR biomarker test could reliably predict locoregional recurrence as well as identify patients who would not benefit from radiotherapy.
- The meta-analysis used data from three randomized trials — Scottish Conservation Trial, SweBCG91-RT, and Princess Margaret RT trial — to validate the POLAR biomarker test in patients with low-risk, HR-positive, HER2-negative, node-negative breast cancer.
- The analysis included 623 patients (ages 50-76), of whom 429 (69%) had high POLAR scores and 194 (31%) had low POLAR scores.
- The primary endpoint was the time to locoregional recurrence, and secondary endpoints included evaluating POLAR as a prognostic factor for locoregional recurrence in patients without radiotherapy and effect of radiotherapy in patients with low and high POLAR scores.
TAKEAWAY:
- Patients with high POLAR scores demonstrated a significant benefit from radiotherapy. The 10-year locoregional recurrence rate was 7% with radiotherapy vs 20% without radiotherapy (hazard ratio [HR], 0.37; P < .001).
- Patients with low POLAR scores, however, did not experience a significant benefit from radiotherapy. In this group, the 10-year locoregional recurrence rates were similar with and without radiotherapy (7% vs 5%, respectively; HR, 0.92; P = .832), indicating that radiotherapy could potentially be omitted for these patients.
- Among patients who did not receive radiotherapy (n = 309), higher POLAR scores predicted a greater risk for recurrence, suggesting the genomic signature has prognostic value. There is no evidence, however, that POLAR predicts radiotherapy benefit or predicts patients’ risk for distant metastases or mortality.
IN PRACTICE:
“This meta-analysis from three randomized controlled trials clearly demonstrates the clinical potential for POLAR to be used in smaller estrogen receptor positive node negative breast cancer patients to identify those women who do not appear to benefit from the use of post-operative adjuvant radiotherapy,” the authors wrote. “ This classifier is an important step towards molecularly-stratified targeting of the use of radiotherapy.”
SOURCE:
The study, led by Per Karlsson, MD, PhD, University of Gothenburg, Sweden, was published online in the Journal of the National Cancer Institute.
LIMITATIONS:
One cohort (SweBCG) had limited use of adjuvant systemic therapy, which could affect generalizability. Additionally, low numbers of patients with low POLAR scores in two trials could affect the observed benefit of radiotherapy.
DISCLOSURES:
This study was supported by the Breast Cancer Institute Fund (Edinburgh and Lothians Health Foundation), Canadian Institutes of Health Research, Exact Sciences Corporation, PFS Genomics, Swedish Cancer Society, and Swedish Research Council. One author reported being an employee and owning stock or stock options or patents with Exact Sciences. Several authors reported having various ties with various sources including Exact Sciences.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
Stages I-III Screen-Detected CRC Boosts Disease-Free Survival Rates
TOPLINE:
METHODOLOGY:
- Patients with screen-detected CRC have better stage-specific overall survival rates than those with non-screen–detected CRC, but the impact of screening on recurrence rates is unknown.
- A retrospective study analyzed patients with CRC (age, 55-75 years) from the Netherlands Cancer Registry diagnosed by screening or not.
- Screen-detected CRC were identified in patients who underwent colonoscopy after a positive fecal immunochemical test (FIT), whereas non-screen–detected CRC were those that were detected in symptomatic patients.
TAKEAWAY:
- Researchers included 3725 patients with CRC (39.6% women), of which 1652 (44.3%) and 2073 (55.7%) patients had screen-detected and non-screen–detected CRC, respectively; CRC was distributed approximately evenly across stages I-III (35.3%, 27.1%, and 37.6%, respectively).
- Screen-detected CRC had significantly higher 3-year rates of disease-free survival compared with non-screen–detected CRC (87.8% vs 77.2%; P < .001).
- The improvement in disease-free survival rates for screen-detected CRC was particularly notable in stage III cases, with rates of 77.9% vs 66.7% for non-screen–detected CRC (P < .001).
- Screen-detected CRC was more often detected at an earlier stage than non-screen–detected CRC (stage I or II: 72.4% vs 54.4%; P < .001).
- Across all stages, detection of CRC by screening was associated with a 33% lower risk for recurrence (P < .001) independent of patient age, gender, tumor location, stage, and treatment.
- Recurrence was the strongest predictor of overall survival across the study population (hazard ratio, 15.90; P < .001).
IN PRACTICE:
“Apart from CRC stage, mode of detection could be used to assess an individual’s risk for recurrence and survival, which may contribute to a more personalized treatment,” the authors wrote.
SOURCE:
The study, led by Sanne J.K.F. Pluimers, Department of Gastroenterology and Hepatology, Erasmus University Medical Center/Erasmus MC Cancer Institute, Rotterdam, the Netherlands, was published online in Clinical Gastroenterology and Hepatology.
LIMITATIONS:
The follow-up time was relatively short, restricting the ability to evaluate the long-term effects of screening on CRC recurrence. This study focused on recurrence solely within the FIT-based screening program, and the results were not generalizable to other screening methods. Due to Dutch privacy law, data on CRC-specific causes of death were unavailable, which may have affected the specificity of survival outcomes.
DISCLOSURES:
There was no funding source for this study. The authors declared no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
- Patients with screen-detected CRC have better stage-specific overall survival rates than those with non-screen–detected CRC, but the impact of screening on recurrence rates is unknown.
- A retrospective study analyzed patients with CRC (age, 55-75 years) from the Netherlands Cancer Registry diagnosed by screening or not.
- Screen-detected CRC were identified in patients who underwent colonoscopy after a positive fecal immunochemical test (FIT), whereas non-screen–detected CRC were those that were detected in symptomatic patients.
TAKEAWAY:
- Researchers included 3725 patients with CRC (39.6% women), of which 1652 (44.3%) and 2073 (55.7%) patients had screen-detected and non-screen–detected CRC, respectively; CRC was distributed approximately evenly across stages I-III (35.3%, 27.1%, and 37.6%, respectively).
- Screen-detected CRC had significantly higher 3-year rates of disease-free survival compared with non-screen–detected CRC (87.8% vs 77.2%; P < .001).
- The improvement in disease-free survival rates for screen-detected CRC was particularly notable in stage III cases, with rates of 77.9% vs 66.7% for non-screen–detected CRC (P < .001).
- Screen-detected CRC was more often detected at an earlier stage than non-screen–detected CRC (stage I or II: 72.4% vs 54.4%; P < .001).
- Across all stages, detection of CRC by screening was associated with a 33% lower risk for recurrence (P < .001) independent of patient age, gender, tumor location, stage, and treatment.
- Recurrence was the strongest predictor of overall survival across the study population (hazard ratio, 15.90; P < .001).
IN PRACTICE:
“Apart from CRC stage, mode of detection could be used to assess an individual’s risk for recurrence and survival, which may contribute to a more personalized treatment,” the authors wrote.
SOURCE:
The study, led by Sanne J.K.F. Pluimers, Department of Gastroenterology and Hepatology, Erasmus University Medical Center/Erasmus MC Cancer Institute, Rotterdam, the Netherlands, was published online in Clinical Gastroenterology and Hepatology.
LIMITATIONS:
The follow-up time was relatively short, restricting the ability to evaluate the long-term effects of screening on CRC recurrence. This study focused on recurrence solely within the FIT-based screening program, and the results were not generalizable to other screening methods. Due to Dutch privacy law, data on CRC-specific causes of death were unavailable, which may have affected the specificity of survival outcomes.
DISCLOSURES:
There was no funding source for this study. The authors declared no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
- Patients with screen-detected CRC have better stage-specific overall survival rates than those with non-screen–detected CRC, but the impact of screening on recurrence rates is unknown.
- A retrospective study analyzed patients with CRC (age, 55-75 years) from the Netherlands Cancer Registry diagnosed by screening or not.
- Screen-detected CRC were identified in patients who underwent colonoscopy after a positive fecal immunochemical test (FIT), whereas non-screen–detected CRC were those that were detected in symptomatic patients.
TAKEAWAY:
- Researchers included 3725 patients with CRC (39.6% women), of which 1652 (44.3%) and 2073 (55.7%) patients had screen-detected and non-screen–detected CRC, respectively; CRC was distributed approximately evenly across stages I-III (35.3%, 27.1%, and 37.6%, respectively).
- Screen-detected CRC had significantly higher 3-year rates of disease-free survival compared with non-screen–detected CRC (87.8% vs 77.2%; P < .001).
- The improvement in disease-free survival rates for screen-detected CRC was particularly notable in stage III cases, with rates of 77.9% vs 66.7% for non-screen–detected CRC (P < .001).
- Screen-detected CRC was more often detected at an earlier stage than non-screen–detected CRC (stage I or II: 72.4% vs 54.4%; P < .001).
- Across all stages, detection of CRC by screening was associated with a 33% lower risk for recurrence (P < .001) independent of patient age, gender, tumor location, stage, and treatment.
- Recurrence was the strongest predictor of overall survival across the study population (hazard ratio, 15.90; P < .001).
IN PRACTICE:
“Apart from CRC stage, mode of detection could be used to assess an individual’s risk for recurrence and survival, which may contribute to a more personalized treatment,” the authors wrote.
SOURCE:
The study, led by Sanne J.K.F. Pluimers, Department of Gastroenterology and Hepatology, Erasmus University Medical Center/Erasmus MC Cancer Institute, Rotterdam, the Netherlands, was published online in Clinical Gastroenterology and Hepatology.
LIMITATIONS:
The follow-up time was relatively short, restricting the ability to evaluate the long-term effects of screening on CRC recurrence. This study focused on recurrence solely within the FIT-based screening program, and the results were not generalizable to other screening methods. Due to Dutch privacy law, data on CRC-specific causes of death were unavailable, which may have affected the specificity of survival outcomes.
DISCLOSURES:
There was no funding source for this study. The authors declared no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.
Is Pancreatic Cancer Really Rising in Young People?
TOPLINE:
Given the stable mortality rates in this population, the increase in incidence likely reflects previously undetected cases instead of a true rise in new cases, researchers say.
METHODOLOGY:
- Data from several registries have indicated that the incidence of pancreatic cancer among younger individuals, particularly women, is on the rise in the United States and worldwide.
- In a new analysis, researchers wanted to see if the observed increase in pancreatic cancer incidence among young Americans represented a true rise in cancer occurrence or indicated greater diagnostic scrutiny. If pancreatic cancer incidence is really increasing, “incidence and mortality would be expected to increase concurrently, as would early- and late-stage diagnoses,” the researchers explained.
- The researchers collected data on pancreatic cancer incidence, histology, and stage distribution for individuals aged 15-39 years from US Cancer Statistics, a database covering almost the entire US population from 2001 to 2020. Pancreatic cancer mortality data from the same timeframe came from the National Vital Statistics System.
- The researchers looked at four histologic categories: Adenocarcinoma, the dominant pancreatic cancer histology, as well as more rare subtypes — endocrine and solid pseudopapillary — and “other” category. Researchers also categorized stage-specific incidence as early stage (in situ or localized) or late stage (regional or distant).
TAKEAWAY:
- The incidence of pancreatic cancer increased 2.1-fold in young women (incidence, 3.3-6.9 per million) and 1.6-fold in young men (incidence, 3.9-6.2 per million) between 2001 and 2019. However, mortality rates remained stable for women (1.5 deaths per million; annual percent change [AAPC], −0.5%; 95% CI, –1.4% to 0.5%) and men (2.5 deaths per million; AAPC, –0.1%; 95% CI, –0.8% to 0.6%) over this period.
- Looking at cancer subtypes, the increase in incidence was largely caused by early-stage endocrine cancer and solid pseudopapillary neoplasms in women, not adenocarcinoma (which remained stable over the study period).
- Looking at cancer stage, most of the increase in incidence came from detection of smaller tumors (< 2 cm) and early-stage cancer, which rose from 0.6 to 3.7 per million in women and from 0.4 to 2.2 per million in men. The authors also found no statistically significant change in the incidence of late-stage cancer in women or men.
- Rates of surgical treatment for pancreatic cancer increased, more than tripling among women (from 1.5 to 4.7 per million) and more than doubling among men (from 1.1 to 2.3 per million).
IN PRACTICE:
“Pancreatic cancer now can be another cancer subject to overdiagnosis: The detection of disease not destined to cause symptoms or death,” the authors concluded. “Although the observed changes in incidence are small, overdiagnosis is especially concerning for pancreatic cancer, as pancreatic surgery has substantial risk for morbidity (in particular, pancreatic fistulas) and mortality.”
SOURCE:
The study, with first author Vishal R. Patel, MD, MPH, and corresponding author H. Gilbert Welch, MD, MPH, from Brigham and Women’s Hospital, Boston, was published online on November 19 in Annals of Internal Medicine.
LIMITATIONS:
The study was limited by the lack of data on the method of cancer detection, which may have affected the interpretation of the findings.
DISCLOSURES:
Disclosure forms are available with the article online.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
Given the stable mortality rates in this population, the increase in incidence likely reflects previously undetected cases instead of a true rise in new cases, researchers say.
METHODOLOGY:
- Data from several registries have indicated that the incidence of pancreatic cancer among younger individuals, particularly women, is on the rise in the United States and worldwide.
- In a new analysis, researchers wanted to see if the observed increase in pancreatic cancer incidence among young Americans represented a true rise in cancer occurrence or indicated greater diagnostic scrutiny. If pancreatic cancer incidence is really increasing, “incidence and mortality would be expected to increase concurrently, as would early- and late-stage diagnoses,” the researchers explained.
- The researchers collected data on pancreatic cancer incidence, histology, and stage distribution for individuals aged 15-39 years from US Cancer Statistics, a database covering almost the entire US population from 2001 to 2020. Pancreatic cancer mortality data from the same timeframe came from the National Vital Statistics System.
- The researchers looked at four histologic categories: Adenocarcinoma, the dominant pancreatic cancer histology, as well as more rare subtypes — endocrine and solid pseudopapillary — and “other” category. Researchers also categorized stage-specific incidence as early stage (in situ or localized) or late stage (regional or distant).
TAKEAWAY:
- The incidence of pancreatic cancer increased 2.1-fold in young women (incidence, 3.3-6.9 per million) and 1.6-fold in young men (incidence, 3.9-6.2 per million) between 2001 and 2019. However, mortality rates remained stable for women (1.5 deaths per million; annual percent change [AAPC], −0.5%; 95% CI, –1.4% to 0.5%) and men (2.5 deaths per million; AAPC, –0.1%; 95% CI, –0.8% to 0.6%) over this period.
- Looking at cancer subtypes, the increase in incidence was largely caused by early-stage endocrine cancer and solid pseudopapillary neoplasms in women, not adenocarcinoma (which remained stable over the study period).
- Looking at cancer stage, most of the increase in incidence came from detection of smaller tumors (< 2 cm) and early-stage cancer, which rose from 0.6 to 3.7 per million in women and from 0.4 to 2.2 per million in men. The authors also found no statistically significant change in the incidence of late-stage cancer in women or men.
- Rates of surgical treatment for pancreatic cancer increased, more than tripling among women (from 1.5 to 4.7 per million) and more than doubling among men (from 1.1 to 2.3 per million).
IN PRACTICE:
“Pancreatic cancer now can be another cancer subject to overdiagnosis: The detection of disease not destined to cause symptoms or death,” the authors concluded. “Although the observed changes in incidence are small, overdiagnosis is especially concerning for pancreatic cancer, as pancreatic surgery has substantial risk for morbidity (in particular, pancreatic fistulas) and mortality.”
SOURCE:
The study, with first author Vishal R. Patel, MD, MPH, and corresponding author H. Gilbert Welch, MD, MPH, from Brigham and Women’s Hospital, Boston, was published online on November 19 in Annals of Internal Medicine.
LIMITATIONS:
The study was limited by the lack of data on the method of cancer detection, which may have affected the interpretation of the findings.
DISCLOSURES:
Disclosure forms are available with the article online.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
Given the stable mortality rates in this population, the increase in incidence likely reflects previously undetected cases instead of a true rise in new cases, researchers say.
METHODOLOGY:
- Data from several registries have indicated that the incidence of pancreatic cancer among younger individuals, particularly women, is on the rise in the United States and worldwide.
- In a new analysis, researchers wanted to see if the observed increase in pancreatic cancer incidence among young Americans represented a true rise in cancer occurrence or indicated greater diagnostic scrutiny. If pancreatic cancer incidence is really increasing, “incidence and mortality would be expected to increase concurrently, as would early- and late-stage diagnoses,” the researchers explained.
- The researchers collected data on pancreatic cancer incidence, histology, and stage distribution for individuals aged 15-39 years from US Cancer Statistics, a database covering almost the entire US population from 2001 to 2020. Pancreatic cancer mortality data from the same timeframe came from the National Vital Statistics System.
- The researchers looked at four histologic categories: Adenocarcinoma, the dominant pancreatic cancer histology, as well as more rare subtypes — endocrine and solid pseudopapillary — and “other” category. Researchers also categorized stage-specific incidence as early stage (in situ or localized) or late stage (regional or distant).
TAKEAWAY:
- The incidence of pancreatic cancer increased 2.1-fold in young women (incidence, 3.3-6.9 per million) and 1.6-fold in young men (incidence, 3.9-6.2 per million) between 2001 and 2019. However, mortality rates remained stable for women (1.5 deaths per million; annual percent change [AAPC], −0.5%; 95% CI, –1.4% to 0.5%) and men (2.5 deaths per million; AAPC, –0.1%; 95% CI, –0.8% to 0.6%) over this period.
- Looking at cancer subtypes, the increase in incidence was largely caused by early-stage endocrine cancer and solid pseudopapillary neoplasms in women, not adenocarcinoma (which remained stable over the study period).
- Looking at cancer stage, most of the increase in incidence came from detection of smaller tumors (< 2 cm) and early-stage cancer, which rose from 0.6 to 3.7 per million in women and from 0.4 to 2.2 per million in men. The authors also found no statistically significant change in the incidence of late-stage cancer in women or men.
- Rates of surgical treatment for pancreatic cancer increased, more than tripling among women (from 1.5 to 4.7 per million) and more than doubling among men (from 1.1 to 2.3 per million).
IN PRACTICE:
“Pancreatic cancer now can be another cancer subject to overdiagnosis: The detection of disease not destined to cause symptoms or death,” the authors concluded. “Although the observed changes in incidence are small, overdiagnosis is especially concerning for pancreatic cancer, as pancreatic surgery has substantial risk for morbidity (in particular, pancreatic fistulas) and mortality.”
SOURCE:
The study, with first author Vishal R. Patel, MD, MPH, and corresponding author H. Gilbert Welch, MD, MPH, from Brigham and Women’s Hospital, Boston, was published online on November 19 in Annals of Internal Medicine.
LIMITATIONS:
The study was limited by the lack of data on the method of cancer detection, which may have affected the interpretation of the findings.
DISCLOSURES:
Disclosure forms are available with the article online.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
Prostate Cancer: Has Active Surveillance Solved the Problem of Overtreatment?
“Overtreatment of men with limited longevity for intermediate- and high-risk tumors has not only failed to improve but has actually worsened over the last 20 years,” Timothy Daskivich, MD, MSHPM, with Cedars-Sinai Medical Center, Los Angeles, said in an interview.
“Many doctors assume that the increase in uptake of active surveillance for low-risk prostate cancers has solved the problem of overtreatment, but this trend has not affected overtreatment of men with low likelihood of living long enough to benefit from treatment who have higher-risk tumors,” Daskivich said.
The study was published online on November 11 in JAMA Internal Medicine.
‘Concerning’ Real-World Data
For men with low- and intermediate-risk prostate cancer expected to live fewer than 10 years, prostate cancer screening and aggressive treatment are not recommended.
Daskivich and colleagues analyzed data on 243,928 men (mean age, 66 years) in the Veterans Affairs (VA) Health System with clinically localized prostate cancer diagnosed between 2000 and 2019.
About 21% had LE < 10 years, and about 4% had LE < 5 years, according to the validated age-adjusted Prostate Cancer Comorbidity Index.
Overtreatment was defined as aggressive treatment (surgery or radiation) in those with LE < 10 years and low- to intermediate-risk disease and in those with LE < 5 years and high-risk disease, in line with current guidelines.
Among men with LE < 10 years, the proportion of men overtreated with surgery or radiotherapy for low-risk disease decreased 22% but increased 22% for intermediate-risk disease during the study period.
Among men with LE < 5 years, the proportion of men treated with definitive treatment for high-risk disease increased 29%.
“While lower-risk tumors are treated less aggressively across the board, including in men with limited longevity, it seems that we are more indiscriminately treating men with higher-risk disease without considering their expected longevity,” Daskivich said in an interview.
Is This Happening in the General US Population?
Daskivich noted that the sample included a large sample of men diagnosed with localized prostate cancer in the VA Health System.
“Rates of overtreatment are likely to be lower in the VA [Health System], so the problem may be worse in the community setting. The VA [Health System] has been exemplary in its uptake of active surveillance for low-risk cancers, leading the effort to reduce overtreatment of men with low-risk cancers. However, the problem of overtreatment of men with limited longevity persists in the VA [Health System], underscoring the pervasiveness of this problem,” he explained.
“We don’t have a perfect head-to-head comparison of overtreatment in the VA setting vs in the community. [However, one study shows] that this is not a VA-specific phenomenon and that there is an increase in overtreatment of men with limited longevity in a Medicare population as well,” Daskivich noted.
Is Overtreatment All Bad?
Overtreatment of prostate cancer, especially in cases where the cancer is unlikely to progress or cause symptoms, can lead to significant physical, psychological, and financial harms, Christopher Anderson, MD, urologist with Columbia University Irving Medical Center in New York City, who wasn’t involved in the study, noted in an interview.
In the study by Daskivich and colleagues, over three quarters of the overtreatment was radiation therapy, which carries the risk for urinary, bowel, and sexual issues.
“Overscreening, which can lead to overtreatment, is a core issue,” Anderson said. It’s easy to order a “simple” prostate-specific antigen blood test, but in an older man with limited LE, that can lead to a host of further testing, he said.
Stopping the pipeline of overscreening that then feeds into the cascade of overtreatment is the first step in addressing the problem of prostate cancer overtreatment, Nancy Li Schoenborn, MD, MHS, with Johns Hopkins University School of Medicine, Baltimore, and Louise C. Walter, MD, with University of California San Francisco, wrote in an editorial in JAMA Internal Medicine.
Considering LE during screening decision-making is “fundamental to reducing harms of prostate cancer overdiagnosis and overtreatment” because limited LE increases the likelihood of experiencing “harms all along the diagnostic and treatment cascade following screening,” the editorial writers said.
The time spent diagnosing, monitoring, and treating asymptomatic prostate cancer in men with limited LE distracts from monitoring and treating chronic symptomatic life-limiting illnesses, they noted.
Tough to Talk About?
Anderson noted that, in general, doctors are not great at estimating and counseling patients on LE. “It’s sometimes difficult to have that conversation,” he said.
Daskivich said physicians may fail to include average LE when advising patients on treatments because they believe that the patients do not want to discuss this topic. “Yet, in interviews with patients, we found that prostate cancer patients reported they wanted this information,” he continued, in an interview.
Solving the problem of overscreening and overtreatment will require a “multifaceted approach, including improving access to life expectancy data at the point of care for providers, educating providers on how to communicate this information, and improving data sources to predict longevity,” Daskivich said.
He said it’s equally important to note that some men with prostate cancer may choose treatment even if they have a limited longevity.
“Not all patients will choose conservative management, even if it is recommended by guidelines. However, they need to be given the opportunity to make a good decision for themselves with the best possible data,” Daskivich said.
This work was supported in part by a US Department of VA Merit Review. Daskivich reported receiving personal fees from the Medical Education Speakers Network, EDAP, and RAND; research support from Lantheus and Janssen; and a patent pending for a system for healthcare visit quality assessment outside the submitted work. Schoenborn, Walter, and Anderson had no relevant disclosures.
A version of this article appeared on Medscape.com.
“Overtreatment of men with limited longevity for intermediate- and high-risk tumors has not only failed to improve but has actually worsened over the last 20 years,” Timothy Daskivich, MD, MSHPM, with Cedars-Sinai Medical Center, Los Angeles, said in an interview.
“Many doctors assume that the increase in uptake of active surveillance for low-risk prostate cancers has solved the problem of overtreatment, but this trend has not affected overtreatment of men with low likelihood of living long enough to benefit from treatment who have higher-risk tumors,” Daskivich said.
The study was published online on November 11 in JAMA Internal Medicine.
‘Concerning’ Real-World Data
For men with low- and intermediate-risk prostate cancer expected to live fewer than 10 years, prostate cancer screening and aggressive treatment are not recommended.
Daskivich and colleagues analyzed data on 243,928 men (mean age, 66 years) in the Veterans Affairs (VA) Health System with clinically localized prostate cancer diagnosed between 2000 and 2019.
About 21% had LE < 10 years, and about 4% had LE < 5 years, according to the validated age-adjusted Prostate Cancer Comorbidity Index.
Overtreatment was defined as aggressive treatment (surgery or radiation) in those with LE < 10 years and low- to intermediate-risk disease and in those with LE < 5 years and high-risk disease, in line with current guidelines.
Among men with LE < 10 years, the proportion of men overtreated with surgery or radiotherapy for low-risk disease decreased 22% but increased 22% for intermediate-risk disease during the study period.
Among men with LE < 5 years, the proportion of men treated with definitive treatment for high-risk disease increased 29%.
“While lower-risk tumors are treated less aggressively across the board, including in men with limited longevity, it seems that we are more indiscriminately treating men with higher-risk disease without considering their expected longevity,” Daskivich said in an interview.
Is This Happening in the General US Population?
Daskivich noted that the sample included a large sample of men diagnosed with localized prostate cancer in the VA Health System.
“Rates of overtreatment are likely to be lower in the VA [Health System], so the problem may be worse in the community setting. The VA [Health System] has been exemplary in its uptake of active surveillance for low-risk cancers, leading the effort to reduce overtreatment of men with low-risk cancers. However, the problem of overtreatment of men with limited longevity persists in the VA [Health System], underscoring the pervasiveness of this problem,” he explained.
“We don’t have a perfect head-to-head comparison of overtreatment in the VA setting vs in the community. [However, one study shows] that this is not a VA-specific phenomenon and that there is an increase in overtreatment of men with limited longevity in a Medicare population as well,” Daskivich noted.
Is Overtreatment All Bad?
Overtreatment of prostate cancer, especially in cases where the cancer is unlikely to progress or cause symptoms, can lead to significant physical, psychological, and financial harms, Christopher Anderson, MD, urologist with Columbia University Irving Medical Center in New York City, who wasn’t involved in the study, noted in an interview.
In the study by Daskivich and colleagues, over three quarters of the overtreatment was radiation therapy, which carries the risk for urinary, bowel, and sexual issues.
“Overscreening, which can lead to overtreatment, is a core issue,” Anderson said. It’s easy to order a “simple” prostate-specific antigen blood test, but in an older man with limited LE, that can lead to a host of further testing, he said.
Stopping the pipeline of overscreening that then feeds into the cascade of overtreatment is the first step in addressing the problem of prostate cancer overtreatment, Nancy Li Schoenborn, MD, MHS, with Johns Hopkins University School of Medicine, Baltimore, and Louise C. Walter, MD, with University of California San Francisco, wrote in an editorial in JAMA Internal Medicine.
Considering LE during screening decision-making is “fundamental to reducing harms of prostate cancer overdiagnosis and overtreatment” because limited LE increases the likelihood of experiencing “harms all along the diagnostic and treatment cascade following screening,” the editorial writers said.
The time spent diagnosing, monitoring, and treating asymptomatic prostate cancer in men with limited LE distracts from monitoring and treating chronic symptomatic life-limiting illnesses, they noted.
Tough to Talk About?
Anderson noted that, in general, doctors are not great at estimating and counseling patients on LE. “It’s sometimes difficult to have that conversation,” he said.
Daskivich said physicians may fail to include average LE when advising patients on treatments because they believe that the patients do not want to discuss this topic. “Yet, in interviews with patients, we found that prostate cancer patients reported they wanted this information,” he continued, in an interview.
Solving the problem of overscreening and overtreatment will require a “multifaceted approach, including improving access to life expectancy data at the point of care for providers, educating providers on how to communicate this information, and improving data sources to predict longevity,” Daskivich said.
He said it’s equally important to note that some men with prostate cancer may choose treatment even if they have a limited longevity.
“Not all patients will choose conservative management, even if it is recommended by guidelines. However, they need to be given the opportunity to make a good decision for themselves with the best possible data,” Daskivich said.
This work was supported in part by a US Department of VA Merit Review. Daskivich reported receiving personal fees from the Medical Education Speakers Network, EDAP, and RAND; research support from Lantheus and Janssen; and a patent pending for a system for healthcare visit quality assessment outside the submitted work. Schoenborn, Walter, and Anderson had no relevant disclosures.
A version of this article appeared on Medscape.com.
“Overtreatment of men with limited longevity for intermediate- and high-risk tumors has not only failed to improve but has actually worsened over the last 20 years,” Timothy Daskivich, MD, MSHPM, with Cedars-Sinai Medical Center, Los Angeles, said in an interview.
“Many doctors assume that the increase in uptake of active surveillance for low-risk prostate cancers has solved the problem of overtreatment, but this trend has not affected overtreatment of men with low likelihood of living long enough to benefit from treatment who have higher-risk tumors,” Daskivich said.
The study was published online on November 11 in JAMA Internal Medicine.
‘Concerning’ Real-World Data
For men with low- and intermediate-risk prostate cancer expected to live fewer than 10 years, prostate cancer screening and aggressive treatment are not recommended.
Daskivich and colleagues analyzed data on 243,928 men (mean age, 66 years) in the Veterans Affairs (VA) Health System with clinically localized prostate cancer diagnosed between 2000 and 2019.
About 21% had LE < 10 years, and about 4% had LE < 5 years, according to the validated age-adjusted Prostate Cancer Comorbidity Index.
Overtreatment was defined as aggressive treatment (surgery or radiation) in those with LE < 10 years and low- to intermediate-risk disease and in those with LE < 5 years and high-risk disease, in line with current guidelines.
Among men with LE < 10 years, the proportion of men overtreated with surgery or radiotherapy for low-risk disease decreased 22% but increased 22% for intermediate-risk disease during the study period.
Among men with LE < 5 years, the proportion of men treated with definitive treatment for high-risk disease increased 29%.
“While lower-risk tumors are treated less aggressively across the board, including in men with limited longevity, it seems that we are more indiscriminately treating men with higher-risk disease without considering their expected longevity,” Daskivich said in an interview.
Is This Happening in the General US Population?
Daskivich noted that the sample included a large sample of men diagnosed with localized prostate cancer in the VA Health System.
“Rates of overtreatment are likely to be lower in the VA [Health System], so the problem may be worse in the community setting. The VA [Health System] has been exemplary in its uptake of active surveillance for low-risk cancers, leading the effort to reduce overtreatment of men with low-risk cancers. However, the problem of overtreatment of men with limited longevity persists in the VA [Health System], underscoring the pervasiveness of this problem,” he explained.
“We don’t have a perfect head-to-head comparison of overtreatment in the VA setting vs in the community. [However, one study shows] that this is not a VA-specific phenomenon and that there is an increase in overtreatment of men with limited longevity in a Medicare population as well,” Daskivich noted.
Is Overtreatment All Bad?
Overtreatment of prostate cancer, especially in cases where the cancer is unlikely to progress or cause symptoms, can lead to significant physical, psychological, and financial harms, Christopher Anderson, MD, urologist with Columbia University Irving Medical Center in New York City, who wasn’t involved in the study, noted in an interview.
In the study by Daskivich and colleagues, over three quarters of the overtreatment was radiation therapy, which carries the risk for urinary, bowel, and sexual issues.
“Overscreening, which can lead to overtreatment, is a core issue,” Anderson said. It’s easy to order a “simple” prostate-specific antigen blood test, but in an older man with limited LE, that can lead to a host of further testing, he said.
Stopping the pipeline of overscreening that then feeds into the cascade of overtreatment is the first step in addressing the problem of prostate cancer overtreatment, Nancy Li Schoenborn, MD, MHS, with Johns Hopkins University School of Medicine, Baltimore, and Louise C. Walter, MD, with University of California San Francisco, wrote in an editorial in JAMA Internal Medicine.
Considering LE during screening decision-making is “fundamental to reducing harms of prostate cancer overdiagnosis and overtreatment” because limited LE increases the likelihood of experiencing “harms all along the diagnostic and treatment cascade following screening,” the editorial writers said.
The time spent diagnosing, monitoring, and treating asymptomatic prostate cancer in men with limited LE distracts from monitoring and treating chronic symptomatic life-limiting illnesses, they noted.
Tough to Talk About?
Anderson noted that, in general, doctors are not great at estimating and counseling patients on LE. “It’s sometimes difficult to have that conversation,” he said.
Daskivich said physicians may fail to include average LE when advising patients on treatments because they believe that the patients do not want to discuss this topic. “Yet, in interviews with patients, we found that prostate cancer patients reported they wanted this information,” he continued, in an interview.
Solving the problem of overscreening and overtreatment will require a “multifaceted approach, including improving access to life expectancy data at the point of care for providers, educating providers on how to communicate this information, and improving data sources to predict longevity,” Daskivich said.
He said it’s equally important to note that some men with prostate cancer may choose treatment even if they have a limited longevity.
“Not all patients will choose conservative management, even if it is recommended by guidelines. However, they need to be given the opportunity to make a good decision for themselves with the best possible data,” Daskivich said.
This work was supported in part by a US Department of VA Merit Review. Daskivich reported receiving personal fees from the Medical Education Speakers Network, EDAP, and RAND; research support from Lantheus and Janssen; and a patent pending for a system for healthcare visit quality assessment outside the submitted work. Schoenborn, Walter, and Anderson had no relevant disclosures.
A version of this article appeared on Medscape.com.
Building an AI Army of Digital Twins to Fight Cancer
A patient has cancer. It’s decision time.
Clinician and patient alike face, really, the ultimate challenge when making those decisions. They have to consider the patient’s individual circumstances, available treatment options, potential side effects, relevant clinical data such as the patient’s genetic profile and cancer specifics, and more.
“That’s a lot of information to hold,” said Uzma Asghar, PhD, MRCP, a British consultant medical oncologist at The Royal Marsden Hospital and a chief scientific officer at Concr LTD.
What if there were a way to test — quickly and accurately — all the potential paths forward?
That’s the goal of digital twins.
“What the [digital twin] model can do for the clinician is to hold all that information and process it really quickly, within a couple of minutes,” Asghar noted.
A digital twin is more than just a computer model or simulation because it copies a real-world person and relies on real-world data. Some digital twin programs also integrate new information as it becomes available. This technology holds promise for personalized medicine, drug discovery, developing screening strategies, and better understanding diseases.
How to Deliver a Twin
To create a digital twin, experts develop a computer model with data to hone its expertise in an area of medicine, such as cancer types and treatments. Then “you train the model on information it’s seen, and then introduce a patient and patient’s information,” said Asghar.
Asghar is currently working with colleagues to develop digital twins that could eventually help solve the aforementioned cancer scenario — a doctor and patient decide the best course of cancer treatment. But their applications are manifold, particularly in clinical research.
Digital twins often include a machine learning component, which would fall under the umbrella term of AI, said Asghar, but it’s not like ChatGPT or other generative AI modules many people are now familiar with.
“The difference here is the model is not there to replace the clinician or to replace clinical trials,” Asghar noted. Instead, digital twins help make decisions faster in a way that can be more affordable.
Digital Twins to Predict Cancer Outcomes
Asghar is currently involved in UK clinical trials enrolling patients with cancer to test the accuracy of digital twin programs.
At this point, these studies do not yet use digital twins to guide the course of treatment, which is something they hope to do eventually. For now, they are still at the validation phase — the digital twin program makes predictions about the treatments and then the researchers later evaluate how accurate the predictions turned out to be based on real information from the enrolled patients.
Their current model gives predictions for RECIST (response evaluation criteria in solid tumor), treatment response, and survival. In addition to collecting data from ongoing clinical trials, they’ve used retrospective data, such as from the Cancer Tumor Atlas, to test the model.
“We’ve clinically validated it now in over 9000 patients,” said Asghar, who noted that they are constantly testing it on new patients. Their data include 30 chemotherapies and 23 cancer types, but they are focusing on four: Triple-negative breast cancer, cancer of unknown primary, pancreatic cancer, and colorectal cancer.
“The reason for choosing those four cancer types is that they are aggressive, their response to chemotherapy isn’t as great, and the outcome for those patient populations, there’s significant room for improvement,” Asghar explained.
Currently, Asghar said, the model is around 80%-90% correct in predicting what the actual clinical outcomes turn out to be.
The final stage of their work, before it becomes widely available to clinicians, will be to integrate it into a clinical trial in which some clinicians use the model to make decisions about treatment vs some who don’t use the model. By studying patient outcomes in both groups, they will be able to determine the value of the digital twin program they created.
What Else Can a Twin Do? A Lot
While a model that helps clinicians make decisions about cancer treatments may be among the first digital twin programs that become widely available, there are many other kinds of digital twins in the works.
For example, a digital twin could be used as a benchmark for a patient to determine how their cancer might have progressed without treatment. Say a patient’s tumor grew during treatment, it might seem like the treatment failed, but a digital twin might show that if left untreated, the tumor would have grown five times as fast, said Paul Macklin, PhD, professor in the Department of Intelligent Systems Engineering at Indiana University Bloomington.
Alternatively, if the virtual patient’s tumor is around the same size as the real patient’s tumor, “that means that treatment has lost its efficacy. It’s time to do something new,” said Macklin. And a digital twin could help with not only choosing a therapy but also choosing a dosing schedule, he noted.
The models can also be updated as new treatments come out, which could help clinicians virtually explore how they might affect a patient before having that patient switch treatments.
Digital twins could also assist in decision-making based on a patient’s priorities and real-life circumstances. “Maybe your priority is not necessarily to shrink this [tumor] at all costs ... maybe your priority is some mix of that and also quality of life,” Macklin said, referring to potential side effects. Or if someone lives 3 hours from the nearest cancer center, a digital twin could help determine whether less frequent treatments could still be effective.
And while much of the activity around digital twins in biomedical research has been focused on cancer, Asghar said the technology has the potential to be applied to other diseases as well. A digital twin for cardiovascular disease could help doctors choose the best treatment. It could also integrate new information from a smartwatch or glucose monitor to make better predictions and help doctors adjust the treatment plan.
Faster, More Effective Research With Twins
Because digital twin programs can quickly analyze large datasets, they can also make real-world studies more effective and efficient.
Though digital twins would not fully replace real clinical trials, they could help run through preliminary scenarios before starting a full clinical trial, which would “save everybody some money, time and pain and risk,” said Macklin.
It’s also possible to use digital twins to design better screening strategies for early cancer detection and monitoring, said Ioannis Zervantonakis, PhD, a bioengineering professor at the University of Pittsburgh.
Zervantonakis is tapping digital twin technology for research that homes in on understanding tumors. In this case, the digital twin is a virtual representation of a real tumor, complete with its complex network of cells and the surrounding tissue.
Zervantonakis’ lab is using the technology to study cell-cell interactions in the tumor microenvironment, with a focus on human epidermal growth factor receptor 2–targeted therapy resistance in breast cancer. The digital twin they developed will simulate tumor growth, predict drug response, analyze cellular interactions, and optimize treatment strategies.
The Long Push Forward
One big hurdle to making digital twins more widely available is that regulation for the technology is still in progress.
“We’re developing the technology, and what’s also happening is the regulatory framework is being developed in parallel. So we’re almost developing things blindly on the basis that we think this is what the regulators would want,” explained Asghar.
“It’s really important that these technologies are regulated properly, just like drugs, and that’s what we’re pushing and advocating for,” said Asghar, noting that people need to know that like drugs, a digital twin has strengths and limitations.
And while a digital twin can be a cost-saving approach in the long run, it does require funding to get a program built, and finding funds can be difficult because not everyone knows about the technology. More funding means more trials.
With more data, Asghar is hopeful that within a few years, a digital twin model could be available for clinicians to use to help inform treatment decisions. This could lead to more effective treatments and, ultimately, better patient outcomes.
A version of this article appeared on Medscape.com.
A patient has cancer. It’s decision time.
Clinician and patient alike face, really, the ultimate challenge when making those decisions. They have to consider the patient’s individual circumstances, available treatment options, potential side effects, relevant clinical data such as the patient’s genetic profile and cancer specifics, and more.
“That’s a lot of information to hold,” said Uzma Asghar, PhD, MRCP, a British consultant medical oncologist at The Royal Marsden Hospital and a chief scientific officer at Concr LTD.
What if there were a way to test — quickly and accurately — all the potential paths forward?
That’s the goal of digital twins.
“What the [digital twin] model can do for the clinician is to hold all that information and process it really quickly, within a couple of minutes,” Asghar noted.
A digital twin is more than just a computer model or simulation because it copies a real-world person and relies on real-world data. Some digital twin programs also integrate new information as it becomes available. This technology holds promise for personalized medicine, drug discovery, developing screening strategies, and better understanding diseases.
How to Deliver a Twin
To create a digital twin, experts develop a computer model with data to hone its expertise in an area of medicine, such as cancer types and treatments. Then “you train the model on information it’s seen, and then introduce a patient and patient’s information,” said Asghar.
Asghar is currently working with colleagues to develop digital twins that could eventually help solve the aforementioned cancer scenario — a doctor and patient decide the best course of cancer treatment. But their applications are manifold, particularly in clinical research.
Digital twins often include a machine learning component, which would fall under the umbrella term of AI, said Asghar, but it’s not like ChatGPT or other generative AI modules many people are now familiar with.
“The difference here is the model is not there to replace the clinician or to replace clinical trials,” Asghar noted. Instead, digital twins help make decisions faster in a way that can be more affordable.
Digital Twins to Predict Cancer Outcomes
Asghar is currently involved in UK clinical trials enrolling patients with cancer to test the accuracy of digital twin programs.
At this point, these studies do not yet use digital twins to guide the course of treatment, which is something they hope to do eventually. For now, they are still at the validation phase — the digital twin program makes predictions about the treatments and then the researchers later evaluate how accurate the predictions turned out to be based on real information from the enrolled patients.
Their current model gives predictions for RECIST (response evaluation criteria in solid tumor), treatment response, and survival. In addition to collecting data from ongoing clinical trials, they’ve used retrospective data, such as from the Cancer Tumor Atlas, to test the model.
“We’ve clinically validated it now in over 9000 patients,” said Asghar, who noted that they are constantly testing it on new patients. Their data include 30 chemotherapies and 23 cancer types, but they are focusing on four: Triple-negative breast cancer, cancer of unknown primary, pancreatic cancer, and colorectal cancer.
“The reason for choosing those four cancer types is that they are aggressive, their response to chemotherapy isn’t as great, and the outcome for those patient populations, there’s significant room for improvement,” Asghar explained.
Currently, Asghar said, the model is around 80%-90% correct in predicting what the actual clinical outcomes turn out to be.
The final stage of their work, before it becomes widely available to clinicians, will be to integrate it into a clinical trial in which some clinicians use the model to make decisions about treatment vs some who don’t use the model. By studying patient outcomes in both groups, they will be able to determine the value of the digital twin program they created.
What Else Can a Twin Do? A Lot
While a model that helps clinicians make decisions about cancer treatments may be among the first digital twin programs that become widely available, there are many other kinds of digital twins in the works.
For example, a digital twin could be used as a benchmark for a patient to determine how their cancer might have progressed without treatment. Say a patient’s tumor grew during treatment, it might seem like the treatment failed, but a digital twin might show that if left untreated, the tumor would have grown five times as fast, said Paul Macklin, PhD, professor in the Department of Intelligent Systems Engineering at Indiana University Bloomington.
Alternatively, if the virtual patient’s tumor is around the same size as the real patient’s tumor, “that means that treatment has lost its efficacy. It’s time to do something new,” said Macklin. And a digital twin could help with not only choosing a therapy but also choosing a dosing schedule, he noted.
The models can also be updated as new treatments come out, which could help clinicians virtually explore how they might affect a patient before having that patient switch treatments.
Digital twins could also assist in decision-making based on a patient’s priorities and real-life circumstances. “Maybe your priority is not necessarily to shrink this [tumor] at all costs ... maybe your priority is some mix of that and also quality of life,” Macklin said, referring to potential side effects. Or if someone lives 3 hours from the nearest cancer center, a digital twin could help determine whether less frequent treatments could still be effective.
And while much of the activity around digital twins in biomedical research has been focused on cancer, Asghar said the technology has the potential to be applied to other diseases as well. A digital twin for cardiovascular disease could help doctors choose the best treatment. It could also integrate new information from a smartwatch or glucose monitor to make better predictions and help doctors adjust the treatment plan.
Faster, More Effective Research With Twins
Because digital twin programs can quickly analyze large datasets, they can also make real-world studies more effective and efficient.
Though digital twins would not fully replace real clinical trials, they could help run through preliminary scenarios before starting a full clinical trial, which would “save everybody some money, time and pain and risk,” said Macklin.
It’s also possible to use digital twins to design better screening strategies for early cancer detection and monitoring, said Ioannis Zervantonakis, PhD, a bioengineering professor at the University of Pittsburgh.
Zervantonakis is tapping digital twin technology for research that homes in on understanding tumors. In this case, the digital twin is a virtual representation of a real tumor, complete with its complex network of cells and the surrounding tissue.
Zervantonakis’ lab is using the technology to study cell-cell interactions in the tumor microenvironment, with a focus on human epidermal growth factor receptor 2–targeted therapy resistance in breast cancer. The digital twin they developed will simulate tumor growth, predict drug response, analyze cellular interactions, and optimize treatment strategies.
The Long Push Forward
One big hurdle to making digital twins more widely available is that regulation for the technology is still in progress.
“We’re developing the technology, and what’s also happening is the regulatory framework is being developed in parallel. So we’re almost developing things blindly on the basis that we think this is what the regulators would want,” explained Asghar.
“It’s really important that these technologies are regulated properly, just like drugs, and that’s what we’re pushing and advocating for,” said Asghar, noting that people need to know that like drugs, a digital twin has strengths and limitations.
And while a digital twin can be a cost-saving approach in the long run, it does require funding to get a program built, and finding funds can be difficult because not everyone knows about the technology. More funding means more trials.
With more data, Asghar is hopeful that within a few years, a digital twin model could be available for clinicians to use to help inform treatment decisions. This could lead to more effective treatments and, ultimately, better patient outcomes.
A version of this article appeared on Medscape.com.
A patient has cancer. It’s decision time.
Clinician and patient alike face, really, the ultimate challenge when making those decisions. They have to consider the patient’s individual circumstances, available treatment options, potential side effects, relevant clinical data such as the patient’s genetic profile and cancer specifics, and more.
“That’s a lot of information to hold,” said Uzma Asghar, PhD, MRCP, a British consultant medical oncologist at The Royal Marsden Hospital and a chief scientific officer at Concr LTD.
What if there were a way to test — quickly and accurately — all the potential paths forward?
That’s the goal of digital twins.
“What the [digital twin] model can do for the clinician is to hold all that information and process it really quickly, within a couple of minutes,” Asghar noted.
A digital twin is more than just a computer model or simulation because it copies a real-world person and relies on real-world data. Some digital twin programs also integrate new information as it becomes available. This technology holds promise for personalized medicine, drug discovery, developing screening strategies, and better understanding diseases.
How to Deliver a Twin
To create a digital twin, experts develop a computer model with data to hone its expertise in an area of medicine, such as cancer types and treatments. Then “you train the model on information it’s seen, and then introduce a patient and patient’s information,” said Asghar.
Asghar is currently working with colleagues to develop digital twins that could eventually help solve the aforementioned cancer scenario — a doctor and patient decide the best course of cancer treatment. But their applications are manifold, particularly in clinical research.
Digital twins often include a machine learning component, which would fall under the umbrella term of AI, said Asghar, but it’s not like ChatGPT or other generative AI modules many people are now familiar with.
“The difference here is the model is not there to replace the clinician or to replace clinical trials,” Asghar noted. Instead, digital twins help make decisions faster in a way that can be more affordable.
Digital Twins to Predict Cancer Outcomes
Asghar is currently involved in UK clinical trials enrolling patients with cancer to test the accuracy of digital twin programs.
At this point, these studies do not yet use digital twins to guide the course of treatment, which is something they hope to do eventually. For now, they are still at the validation phase — the digital twin program makes predictions about the treatments and then the researchers later evaluate how accurate the predictions turned out to be based on real information from the enrolled patients.
Their current model gives predictions for RECIST (response evaluation criteria in solid tumor), treatment response, and survival. In addition to collecting data from ongoing clinical trials, they’ve used retrospective data, such as from the Cancer Tumor Atlas, to test the model.
“We’ve clinically validated it now in over 9000 patients,” said Asghar, who noted that they are constantly testing it on new patients. Their data include 30 chemotherapies and 23 cancer types, but they are focusing on four: Triple-negative breast cancer, cancer of unknown primary, pancreatic cancer, and colorectal cancer.
“The reason for choosing those four cancer types is that they are aggressive, their response to chemotherapy isn’t as great, and the outcome for those patient populations, there’s significant room for improvement,” Asghar explained.
Currently, Asghar said, the model is around 80%-90% correct in predicting what the actual clinical outcomes turn out to be.
The final stage of their work, before it becomes widely available to clinicians, will be to integrate it into a clinical trial in which some clinicians use the model to make decisions about treatment vs some who don’t use the model. By studying patient outcomes in both groups, they will be able to determine the value of the digital twin program they created.
What Else Can a Twin Do? A Lot
While a model that helps clinicians make decisions about cancer treatments may be among the first digital twin programs that become widely available, there are many other kinds of digital twins in the works.
For example, a digital twin could be used as a benchmark for a patient to determine how their cancer might have progressed without treatment. Say a patient’s tumor grew during treatment, it might seem like the treatment failed, but a digital twin might show that if left untreated, the tumor would have grown five times as fast, said Paul Macklin, PhD, professor in the Department of Intelligent Systems Engineering at Indiana University Bloomington.
Alternatively, if the virtual patient’s tumor is around the same size as the real patient’s tumor, “that means that treatment has lost its efficacy. It’s time to do something new,” said Macklin. And a digital twin could help with not only choosing a therapy but also choosing a dosing schedule, he noted.
The models can also be updated as new treatments come out, which could help clinicians virtually explore how they might affect a patient before having that patient switch treatments.
Digital twins could also assist in decision-making based on a patient’s priorities and real-life circumstances. “Maybe your priority is not necessarily to shrink this [tumor] at all costs ... maybe your priority is some mix of that and also quality of life,” Macklin said, referring to potential side effects. Or if someone lives 3 hours from the nearest cancer center, a digital twin could help determine whether less frequent treatments could still be effective.
And while much of the activity around digital twins in biomedical research has been focused on cancer, Asghar said the technology has the potential to be applied to other diseases as well. A digital twin for cardiovascular disease could help doctors choose the best treatment. It could also integrate new information from a smartwatch or glucose monitor to make better predictions and help doctors adjust the treatment plan.
Faster, More Effective Research With Twins
Because digital twin programs can quickly analyze large datasets, they can also make real-world studies more effective and efficient.
Though digital twins would not fully replace real clinical trials, they could help run through preliminary scenarios before starting a full clinical trial, which would “save everybody some money, time and pain and risk,” said Macklin.
It’s also possible to use digital twins to design better screening strategies for early cancer detection and monitoring, said Ioannis Zervantonakis, PhD, a bioengineering professor at the University of Pittsburgh.
Zervantonakis is tapping digital twin technology for research that homes in on understanding tumors. In this case, the digital twin is a virtual representation of a real tumor, complete with its complex network of cells and the surrounding tissue.
Zervantonakis’ lab is using the technology to study cell-cell interactions in the tumor microenvironment, with a focus on human epidermal growth factor receptor 2–targeted therapy resistance in breast cancer. The digital twin they developed will simulate tumor growth, predict drug response, analyze cellular interactions, and optimize treatment strategies.
The Long Push Forward
One big hurdle to making digital twins more widely available is that regulation for the technology is still in progress.
“We’re developing the technology, and what’s also happening is the regulatory framework is being developed in parallel. So we’re almost developing things blindly on the basis that we think this is what the regulators would want,” explained Asghar.
“It’s really important that these technologies are regulated properly, just like drugs, and that’s what we’re pushing and advocating for,” said Asghar, noting that people need to know that like drugs, a digital twin has strengths and limitations.
And while a digital twin can be a cost-saving approach in the long run, it does require funding to get a program built, and finding funds can be difficult because not everyone knows about the technology. More funding means more trials.
With more data, Asghar is hopeful that within a few years, a digital twin model could be available for clinicians to use to help inform treatment decisions. This could lead to more effective treatments and, ultimately, better patient outcomes.
A version of this article appeared on Medscape.com.