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Architect of VA Transformation Urges Innovation Amid Uncertainty
Architect of VA Transformation Urges Innovation Amid Uncertainty
PHOENIX – Three decades after he initiated the transformation of the Veterans Health Administration (VHA) into a model research and clinical health care system, former US Department of Veterans Affairs (VA) Under Secretary of Health Kenneth W. Kizer, MD, MPH, urged cancer specialists to embrace this challenging moment as an opportunity for bold innovation.
At the annual meeting of the Association of VA Hematology/Oncology (AVAHO), Kizer acknowledged that the VA faces an “uncertain and turbulent time” in areas such as funding, staffing, community care implementation, and the rollout of a new electronic health record system.
He also noted the grim rise of global instability, economic turmoil, climate change, infectious diseases, political violence, and mass shootings.
“This can be stressful. It can create negative energy. But this uncertainty can also be liberating, and it can prompt positive energy and innovation, depending on choices that we make,” said Kizer, who also has served as California’s top health official prior to leading the VHA from 1994 to 1999.
From “Bloated Bureaucracy’ to High-Quality Health Care System
Kizer has been credited with revitalizing VHA care through a greater commitment to quality, and harkened to his work with the VA as an example of how bold goals can lead to bold innovation.
“What were the perceptions of VA health care in 1994? Well, they weren’t very good, frankly,” Kizer recalled. He described the VA as having a reputation at that time as “highly dysfunctional” with “a very bloated and entrenched bureaucracy.” As for quality of care, it “wasn’t viewed as very good.”
The system’s problems were so severe that patients would park motorhomes in VA medical center parking lots as they waited for care. “While they might have an appointment for one day, they may not be seen for 3 or 4 or 5 days. So they would stay in their motorhome until they finally got into their clinic appointment,” Kizer said.
Overall, “the public viewed the VA as this bleak backwater of incompetence and difference and inefficiency, and there were very strong calls to privatize the VA,” Kizer said.
Kizer asked colleagues about what he should do after he was asked to take the under secretary job. “With one exception, they all said, don’t go near it. Don’t touch it. Walk away. That it’s impossible to change the organization.
“I looked at the VA and I saw an opportunity. When I told [members of the President Bill] Clinton [Administration] yes, my bold aim was that I would like to pursue this was to make VHA a model of excellent health care, an exemplary health care system. Most everyone else thought that I was totally delusional, but sometimes it’s good to be delusional.”
Revolutionary Changes Despite Opposition
Kizer sought reforms in 5 major strategic objectives, all without explicit congressional approval: creating an accountable management structure, decentralizing decision-making, integrating care, implementing universal primary care, and pursuing eligibility reform to create the current 8-tier VA system.
One major innovation was the implementation of community-based outpatient clinics (CBOCs): “Those were strongly opposed initially,” Kizer said. “Everyone, the veteran community in particular, had been led to believe that the only good care was in the hospital.”
The resistance was substantial. “There was a lot of opposition when we said we’re going to move out into the community where you live to make [care] easier to access,” Kizer said.
To make things more difficult, Congress wouldn’t fund the project: “For the first 3 years, every CBOC had to be funded by redirected savings from other things that we could do within the system,” he said. “All of this was through redirected savings and finding ways to save and reinvest.”
Innovation From the Ground Up
Kizer emphasized that many breakthrough innovations came from frontline staff rather than executive mandates. He cited the example of Barcode Medication Administration, which originated from a nurse in Topeka, Kan.
The nurse saw a barcode scanner put to work at a rental car company where it was used to check cars in and out. She wondered, “Why can’t we do this with medications when they’re given on the floor? We followed up on it, pursued those things, tested it out, it worked.”
The results were dramatic. “I was told at a meeting that they had achieved close to 80% reduction in medication errors,” Kizer said. After verifying the results personally, he “authorized $20 million, and we moved forward with it systemwide.”
This experience reinforced his belief in harvesting ideas from staff at all levels.
Innovation remains part of the VA’s culture “despite what some people would have you believe,” Kizer said. Recently, the VA has made major advances in areas such as patient transportation and the climate crisis, he said.
Inside the Recipe for Innovation
Boldness, persistence, adaptability, and tolerance for risk are necessary ingredients for high-risk goals, Kizer said. Ambition is also part of the picture.
He highlighted examples such as the Apollo moon landing, the first sub-4-minute mile, and the first swim across the English Channel by a woman.
In medicine, Kizer pointed to a national patient safety campaign that saved an estimated 122,000 lives. He also mentioned recent progress in organ transplantation such as recommendations from the National Academies of Sciences, Engineering, and Medicine to establish national performance goals and the Organ Procurement and Transplantation Network’s target of 60,000 deceased donor transplants by 2026.
Bold doesn’t mean being reckless or careless, Kizer said. “But it does require innovation. And it does require that you try some new things, some of which aren’t going to work out.”
The key mindset, he explained, is to “embrace the unknown” because “you often really don’t know how you will accomplish the aim when you start. But you’ll figure it out as you go.”
Kizer highlighted 2 opposing strategies to handling challenging times.
According to him, the “negative energy” approach focuses on frustrations, limitations, and asking “Why is this happening to me?”
In contrast, a “positive energy” approach expects problems, focuses on available resources and capabilities, and asks, “What are the opportunities that these changes are creating for me?”
Kizer made it crystal clear which option he prefers.
Dr. Kizer disclosed that his comments represent his opinions only, and he noted his ongoing connections to the VA.
PHOENIX – Three decades after he initiated the transformation of the Veterans Health Administration (VHA) into a model research and clinical health care system, former US Department of Veterans Affairs (VA) Under Secretary of Health Kenneth W. Kizer, MD, MPH, urged cancer specialists to embrace this challenging moment as an opportunity for bold innovation.
At the annual meeting of the Association of VA Hematology/Oncology (AVAHO), Kizer acknowledged that the VA faces an “uncertain and turbulent time” in areas such as funding, staffing, community care implementation, and the rollout of a new electronic health record system.
He also noted the grim rise of global instability, economic turmoil, climate change, infectious diseases, political violence, and mass shootings.
“This can be stressful. It can create negative energy. But this uncertainty can also be liberating, and it can prompt positive energy and innovation, depending on choices that we make,” said Kizer, who also has served as California’s top health official prior to leading the VHA from 1994 to 1999.
From “Bloated Bureaucracy’ to High-Quality Health Care System
Kizer has been credited with revitalizing VHA care through a greater commitment to quality, and harkened to his work with the VA as an example of how bold goals can lead to bold innovation.
“What were the perceptions of VA health care in 1994? Well, they weren’t very good, frankly,” Kizer recalled. He described the VA as having a reputation at that time as “highly dysfunctional” with “a very bloated and entrenched bureaucracy.” As for quality of care, it “wasn’t viewed as very good.”
The system’s problems were so severe that patients would park motorhomes in VA medical center parking lots as they waited for care. “While they might have an appointment for one day, they may not be seen for 3 or 4 or 5 days. So they would stay in their motorhome until they finally got into their clinic appointment,” Kizer said.
Overall, “the public viewed the VA as this bleak backwater of incompetence and difference and inefficiency, and there were very strong calls to privatize the VA,” Kizer said.
Kizer asked colleagues about what he should do after he was asked to take the under secretary job. “With one exception, they all said, don’t go near it. Don’t touch it. Walk away. That it’s impossible to change the organization.
“I looked at the VA and I saw an opportunity. When I told [members of the President Bill] Clinton [Administration] yes, my bold aim was that I would like to pursue this was to make VHA a model of excellent health care, an exemplary health care system. Most everyone else thought that I was totally delusional, but sometimes it’s good to be delusional.”
Revolutionary Changes Despite Opposition
Kizer sought reforms in 5 major strategic objectives, all without explicit congressional approval: creating an accountable management structure, decentralizing decision-making, integrating care, implementing universal primary care, and pursuing eligibility reform to create the current 8-tier VA system.
One major innovation was the implementation of community-based outpatient clinics (CBOCs): “Those were strongly opposed initially,” Kizer said. “Everyone, the veteran community in particular, had been led to believe that the only good care was in the hospital.”
The resistance was substantial. “There was a lot of opposition when we said we’re going to move out into the community where you live to make [care] easier to access,” Kizer said.
To make things more difficult, Congress wouldn’t fund the project: “For the first 3 years, every CBOC had to be funded by redirected savings from other things that we could do within the system,” he said. “All of this was through redirected savings and finding ways to save and reinvest.”
Innovation From the Ground Up
Kizer emphasized that many breakthrough innovations came from frontline staff rather than executive mandates. He cited the example of Barcode Medication Administration, which originated from a nurse in Topeka, Kan.
The nurse saw a barcode scanner put to work at a rental car company where it was used to check cars in and out. She wondered, “Why can’t we do this with medications when they’re given on the floor? We followed up on it, pursued those things, tested it out, it worked.”
The results were dramatic. “I was told at a meeting that they had achieved close to 80% reduction in medication errors,” Kizer said. After verifying the results personally, he “authorized $20 million, and we moved forward with it systemwide.”
This experience reinforced his belief in harvesting ideas from staff at all levels.
Innovation remains part of the VA’s culture “despite what some people would have you believe,” Kizer said. Recently, the VA has made major advances in areas such as patient transportation and the climate crisis, he said.
Inside the Recipe for Innovation
Boldness, persistence, adaptability, and tolerance for risk are necessary ingredients for high-risk goals, Kizer said. Ambition is also part of the picture.
He highlighted examples such as the Apollo moon landing, the first sub-4-minute mile, and the first swim across the English Channel by a woman.
In medicine, Kizer pointed to a national patient safety campaign that saved an estimated 122,000 lives. He also mentioned recent progress in organ transplantation such as recommendations from the National Academies of Sciences, Engineering, and Medicine to establish national performance goals and the Organ Procurement and Transplantation Network’s target of 60,000 deceased donor transplants by 2026.
Bold doesn’t mean being reckless or careless, Kizer said. “But it does require innovation. And it does require that you try some new things, some of which aren’t going to work out.”
The key mindset, he explained, is to “embrace the unknown” because “you often really don’t know how you will accomplish the aim when you start. But you’ll figure it out as you go.”
Kizer highlighted 2 opposing strategies to handling challenging times.
According to him, the “negative energy” approach focuses on frustrations, limitations, and asking “Why is this happening to me?”
In contrast, a “positive energy” approach expects problems, focuses on available resources and capabilities, and asks, “What are the opportunities that these changes are creating for me?”
Kizer made it crystal clear which option he prefers.
Dr. Kizer disclosed that his comments represent his opinions only, and he noted his ongoing connections to the VA.
PHOENIX – Three decades after he initiated the transformation of the Veterans Health Administration (VHA) into a model research and clinical health care system, former US Department of Veterans Affairs (VA) Under Secretary of Health Kenneth W. Kizer, MD, MPH, urged cancer specialists to embrace this challenging moment as an opportunity for bold innovation.
At the annual meeting of the Association of VA Hematology/Oncology (AVAHO), Kizer acknowledged that the VA faces an “uncertain and turbulent time” in areas such as funding, staffing, community care implementation, and the rollout of a new electronic health record system.
He also noted the grim rise of global instability, economic turmoil, climate change, infectious diseases, political violence, and mass shootings.
“This can be stressful. It can create negative energy. But this uncertainty can also be liberating, and it can prompt positive energy and innovation, depending on choices that we make,” said Kizer, who also has served as California’s top health official prior to leading the VHA from 1994 to 1999.
From “Bloated Bureaucracy’ to High-Quality Health Care System
Kizer has been credited with revitalizing VHA care through a greater commitment to quality, and harkened to his work with the VA as an example of how bold goals can lead to bold innovation.
“What were the perceptions of VA health care in 1994? Well, they weren’t very good, frankly,” Kizer recalled. He described the VA as having a reputation at that time as “highly dysfunctional” with “a very bloated and entrenched bureaucracy.” As for quality of care, it “wasn’t viewed as very good.”
The system’s problems were so severe that patients would park motorhomes in VA medical center parking lots as they waited for care. “While they might have an appointment for one day, they may not be seen for 3 or 4 or 5 days. So they would stay in their motorhome until they finally got into their clinic appointment,” Kizer said.
Overall, “the public viewed the VA as this bleak backwater of incompetence and difference and inefficiency, and there were very strong calls to privatize the VA,” Kizer said.
Kizer asked colleagues about what he should do after he was asked to take the under secretary job. “With one exception, they all said, don’t go near it. Don’t touch it. Walk away. That it’s impossible to change the organization.
“I looked at the VA and I saw an opportunity. When I told [members of the President Bill] Clinton [Administration] yes, my bold aim was that I would like to pursue this was to make VHA a model of excellent health care, an exemplary health care system. Most everyone else thought that I was totally delusional, but sometimes it’s good to be delusional.”
Revolutionary Changes Despite Opposition
Kizer sought reforms in 5 major strategic objectives, all without explicit congressional approval: creating an accountable management structure, decentralizing decision-making, integrating care, implementing universal primary care, and pursuing eligibility reform to create the current 8-tier VA system.
One major innovation was the implementation of community-based outpatient clinics (CBOCs): “Those were strongly opposed initially,” Kizer said. “Everyone, the veteran community in particular, had been led to believe that the only good care was in the hospital.”
The resistance was substantial. “There was a lot of opposition when we said we’re going to move out into the community where you live to make [care] easier to access,” Kizer said.
To make things more difficult, Congress wouldn’t fund the project: “For the first 3 years, every CBOC had to be funded by redirected savings from other things that we could do within the system,” he said. “All of this was through redirected savings and finding ways to save and reinvest.”
Innovation From the Ground Up
Kizer emphasized that many breakthrough innovations came from frontline staff rather than executive mandates. He cited the example of Barcode Medication Administration, which originated from a nurse in Topeka, Kan.
The nurse saw a barcode scanner put to work at a rental car company where it was used to check cars in and out. She wondered, “Why can’t we do this with medications when they’re given on the floor? We followed up on it, pursued those things, tested it out, it worked.”
The results were dramatic. “I was told at a meeting that they had achieved close to 80% reduction in medication errors,” Kizer said. After verifying the results personally, he “authorized $20 million, and we moved forward with it systemwide.”
This experience reinforced his belief in harvesting ideas from staff at all levels.
Innovation remains part of the VA’s culture “despite what some people would have you believe,” Kizer said. Recently, the VA has made major advances in areas such as patient transportation and the climate crisis, he said.
Inside the Recipe for Innovation
Boldness, persistence, adaptability, and tolerance for risk are necessary ingredients for high-risk goals, Kizer said. Ambition is also part of the picture.
He highlighted examples such as the Apollo moon landing, the first sub-4-minute mile, and the first swim across the English Channel by a woman.
In medicine, Kizer pointed to a national patient safety campaign that saved an estimated 122,000 lives. He also mentioned recent progress in organ transplantation such as recommendations from the National Academies of Sciences, Engineering, and Medicine to establish national performance goals and the Organ Procurement and Transplantation Network’s target of 60,000 deceased donor transplants by 2026.
Bold doesn’t mean being reckless or careless, Kizer said. “But it does require innovation. And it does require that you try some new things, some of which aren’t going to work out.”
The key mindset, he explained, is to “embrace the unknown” because “you often really don’t know how you will accomplish the aim when you start. But you’ll figure it out as you go.”
Kizer highlighted 2 opposing strategies to handling challenging times.
According to him, the “negative energy” approach focuses on frustrations, limitations, and asking “Why is this happening to me?”
In contrast, a “positive energy” approach expects problems, focuses on available resources and capabilities, and asks, “What are the opportunities that these changes are creating for me?”
Kizer made it crystal clear which option he prefers.
Dr. Kizer disclosed that his comments represent his opinions only, and he noted his ongoing connections to the VA.
Architect of VA Transformation Urges Innovation Amid Uncertainty
Architect of VA Transformation Urges Innovation Amid Uncertainty
Rising Cancer Rates Among Young People Spur New Fertility Preservation Options
Rising Cancer Rates Among Young People Spur New Fertility Preservation Options
ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.
All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.
Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.
Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."
For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.
"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."
For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."
In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.
For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."
As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:
- The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
- The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
- The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
- The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
- The woman with lymphoma (new diagnosis) had 27 eggs frozen.
Lee had no disclosures to report.
ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.
All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.
Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.
Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."
For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.
"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."
For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."
In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.
For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."
As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:
- The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
- The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
- The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
- The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
- The woman with lymphoma (new diagnosis) had 27 eggs frozen.
Lee had no disclosures to report.
ATLANTA —Jacqueline Lee, MD, a reproductive endocrinologist at Emory School of Medicine, frequently treats patients with cancer. Recently, she treated 4 women in their 30s with histories of colon cancer, acute lymphoblastic leukemia, lymphoma, and breast cancer. A young man in his 20s sought her care, to discuss his case of lymphoma.
All these patients sought guidance from Lee because they want to protect their ability to have children. At the annual meeting of the Association of VA Hematology/Oncology, Lee explained that plenty of patients are finding themselves in similar straits due in part to recent trends.
Cancer rates in the US have been rising among people aged 15 to 39 years, who now account for 4.2% of all cancer cases. An estimated 84,100 people in this age group are expected to be diagnosed with cancer this year. Meanwhile, women are having children later in life-birth rates are up among those aged 25 to 49 years-making it more likely that they have histories of cancer.
Although it's difficult to predict how cancer will affect fertility, Lee emphasized that many chemotherapy medications, including cisplatin and carboplatin, are cytotoxic. "It's hard to always predict what someone's arc of care is going to be," she said, "so I really have a low threshold for recommending fertility preservation in patients who have a strong desire to have future childbearing."
For women with cancer, egg preservation isn't the only strategy. Clinicians can also try to protect ovarian tissue from pelvic radiation through surgical reposition of the ovaries, Lee noted. In addition goserelin, a hormone-suppressing therapy, may protect the ovaries from chemotherapy, though its effectiveness in boosting pregnancy rates is still unclear.
"When I mentioned this option, it's usually for patients who can't preserve fertility via egg or embryo preservation, or we don't have the luxury of that kind of time," Lee said. "I say that if helps at all, it might help you resume menses after treatment. But infertility is still very common."
For some patients, freezing eggs is an easy decision. "They don't have a reproductive partner they're ready to make embryos with, so we proceed with egg preservation. It's no longer considered experimental and comes with lower upfront costs since the costs of actually making embryos are deferred until the future."
In addition, she said, freezing eggs also avoids the touchy topic of disposing of embryos. Lee cautions patients that retrieving eggs is a 2-week process that requires any initiation of cancer care to be delayed. However, the retrieval process can be adjusted in patients with special needs due to the type of cancer they have.
For prepubertal girls with cancer, ovarian tissue can be removed and frozen as a fertility preservation option. However, this is not considered standard of care. "We don't do it," she said. "We refer out if needed. Hopefully we'll develop a program in the future."
As for the 5 patients that Lee mentioned, with details changed to protect their privacy, their outcomes were as follows:
- The woman with colon cancer, who had undergone a hemicolectomy, chose to defer fertility preservation.
- The woman with acute lymphoblastic leukemia, who was taking depo-Lupron, had undetectable anti-Müllerian hormone (AMH) levels. Lee discussed the possibility of IVF with a donor egg.
- The woman with breast cancer, who was newly diagnosed, deferred fertility preservation.
- The man with lymphoma (Hodgkin's), who was awaiting chemotherapy, had his sperm frozen.
- The woman with lymphoma (new diagnosis) had 27 eggs frozen.
Lee had no disclosures to report.
Rising Cancer Rates Among Young People Spur New Fertility Preservation Options
Rising Cancer Rates Among Young People Spur New Fertility Preservation Options
VA Cancer Clinical Trials as a Strategy for Increasing Accrual of Racial and Ethnic Underrepresented Groups
Background
Cancer clinical trials (CCTs) are central to improving cancer care. However, generalizability of findings from CCTs is difficult due to the lack of diversity in most United States CCTs. Clinical trial accrual of underrepresented groups, is low throughout the United States and is approximately 4-5% in most CCTs. Reasons for low accrual in this population are multifactorial. Despite numerous factors related to accruing racial and ethnic underrepresented groups, many institutions have sought to address these barriers. We conducted a scoping review to identify evidence-based approaches to increase participation in cancer treatment clinical trials.
Methods
We reviewed the Salisbury VA Medical Center Oncology clinical trial database from October 2019 to June 2024. The participants in these clinical trials required consent. These clinical trials included treatment interventional as well as non-treatment interventional. Fifteen studies were included and over 260 Veterans participated.
Results
Key themes emerged that included a focus on patient education, cultural competency, and building capacity in the clinics to care for the Veteran population at three separate sites in the Salisbury VA system. The Black Veteran accrual rate of 29% was achieved. This accrual rate is representative of our VA catchment population of 33% for Black Veterans, and is five times the national average.
Conclusions
The research team’s success in enrolling Black Veterans in clinical trials is attributed to several factors. The demographic composition of Veterans served by the Salisbury, Charlotte, and Kernersville VA provided a diverse population that included a 33% Black group. The type of clinical trials focused on patients who were most impacted by the disease. The VA did afford less barriers to access to health care.
Background
Cancer clinical trials (CCTs) are central to improving cancer care. However, generalizability of findings from CCTs is difficult due to the lack of diversity in most United States CCTs. Clinical trial accrual of underrepresented groups, is low throughout the United States and is approximately 4-5% in most CCTs. Reasons for low accrual in this population are multifactorial. Despite numerous factors related to accruing racial and ethnic underrepresented groups, many institutions have sought to address these barriers. We conducted a scoping review to identify evidence-based approaches to increase participation in cancer treatment clinical trials.
Methods
We reviewed the Salisbury VA Medical Center Oncology clinical trial database from October 2019 to June 2024. The participants in these clinical trials required consent. These clinical trials included treatment interventional as well as non-treatment interventional. Fifteen studies were included and over 260 Veterans participated.
Results
Key themes emerged that included a focus on patient education, cultural competency, and building capacity in the clinics to care for the Veteran population at three separate sites in the Salisbury VA system. The Black Veteran accrual rate of 29% was achieved. This accrual rate is representative of our VA catchment population of 33% for Black Veterans, and is five times the national average.
Conclusions
The research team’s success in enrolling Black Veterans in clinical trials is attributed to several factors. The demographic composition of Veterans served by the Salisbury, Charlotte, and Kernersville VA provided a diverse population that included a 33% Black group. The type of clinical trials focused on patients who were most impacted by the disease. The VA did afford less barriers to access to health care.
Background
Cancer clinical trials (CCTs) are central to improving cancer care. However, generalizability of findings from CCTs is difficult due to the lack of diversity in most United States CCTs. Clinical trial accrual of underrepresented groups, is low throughout the United States and is approximately 4-5% in most CCTs. Reasons for low accrual in this population are multifactorial. Despite numerous factors related to accruing racial and ethnic underrepresented groups, many institutions have sought to address these barriers. We conducted a scoping review to identify evidence-based approaches to increase participation in cancer treatment clinical trials.
Methods
We reviewed the Salisbury VA Medical Center Oncology clinical trial database from October 2019 to June 2024. The participants in these clinical trials required consent. These clinical trials included treatment interventional as well as non-treatment interventional. Fifteen studies were included and over 260 Veterans participated.
Results
Key themes emerged that included a focus on patient education, cultural competency, and building capacity in the clinics to care for the Veteran population at three separate sites in the Salisbury VA system. The Black Veteran accrual rate of 29% was achieved. This accrual rate is representative of our VA catchment population of 33% for Black Veterans, and is five times the national average.
Conclusions
The research team’s success in enrolling Black Veterans in clinical trials is attributed to several factors. The demographic composition of Veterans served by the Salisbury, Charlotte, and Kernersville VA provided a diverse population that included a 33% Black group. The type of clinical trials focused on patients who were most impacted by the disease. The VA did afford less barriers to access to health care.
ERCC2, KDM6A, and TERT as Key Prognostic Factors in Bladder Cancer: Insights from the AACR Project GENIE Database
Background
Urothelial carcinoma (UC) is among the top 10 frequently diagnosed cancers in the world. Mutations in FGFR3, ARID1A, and TP53 are well documented as being some of the most frequent mutations found in UC. Despite advances in treatment, survival outcomes remain poor, especially in advanced stages. To promote future pharmacotherapeutic development, the molecular understanding of UC needs to be continually updated using more recently available databases.
Methods
This study utilizes the AACR Project GENIE database from the American Association for Cancer Research to explore the mutational profiles of patients with UC. Gene mutation frequencies were calculated, and two Kaplan-Meier curves were drawn for each gene, showing one curve for patients with the mutation and one for those without. Log-Rank tests were calculated with subsequent FDR (Benjamini–Hochberg) correction applied to account for multiple hypothesis testing. Data was analyzed using R 4.4.2 and statistical significance was set at α = 0.05.
Results
In this study, 4525 patients had histology consistent with UC. The 5 most common mutations were TERT (n = 1714, 37.9%), TP53 (n = 1689, 37.3%), KDM6A (n = 1091, 24.1%), ARID1A (n = 872, 19.3%), and FGFR3 (n = 762, 16.8%). Mutations associated with differential survival outcomes included ERCC2 (mutated n = 387, wild type n = 3751, p < 0.0001), KDM6A (mutated n = 1091, wild type n = 3047, p < 0.0001), TERT (mutated n = 1714, wild type n = 2424), and TP53 (mutated n = 1689, wild type n = 2449, p < 0.0001).
Conclusions
Interestingly, while mutations in TP53 and ERCC2 were associated with shorter median survival, mutations in KDM6A and TERT were associated with longer median survival.
Background
Urothelial carcinoma (UC) is among the top 10 frequently diagnosed cancers in the world. Mutations in FGFR3, ARID1A, and TP53 are well documented as being some of the most frequent mutations found in UC. Despite advances in treatment, survival outcomes remain poor, especially in advanced stages. To promote future pharmacotherapeutic development, the molecular understanding of UC needs to be continually updated using more recently available databases.
Methods
This study utilizes the AACR Project GENIE database from the American Association for Cancer Research to explore the mutational profiles of patients with UC. Gene mutation frequencies were calculated, and two Kaplan-Meier curves were drawn for each gene, showing one curve for patients with the mutation and one for those without. Log-Rank tests were calculated with subsequent FDR (Benjamini–Hochberg) correction applied to account for multiple hypothesis testing. Data was analyzed using R 4.4.2 and statistical significance was set at α = 0.05.
Results
In this study, 4525 patients had histology consistent with UC. The 5 most common mutations were TERT (n = 1714, 37.9%), TP53 (n = 1689, 37.3%), KDM6A (n = 1091, 24.1%), ARID1A (n = 872, 19.3%), and FGFR3 (n = 762, 16.8%). Mutations associated with differential survival outcomes included ERCC2 (mutated n = 387, wild type n = 3751, p < 0.0001), KDM6A (mutated n = 1091, wild type n = 3047, p < 0.0001), TERT (mutated n = 1714, wild type n = 2424), and TP53 (mutated n = 1689, wild type n = 2449, p < 0.0001).
Conclusions
Interestingly, while mutations in TP53 and ERCC2 were associated with shorter median survival, mutations in KDM6A and TERT were associated with longer median survival.
Background
Urothelial carcinoma (UC) is among the top 10 frequently diagnosed cancers in the world. Mutations in FGFR3, ARID1A, and TP53 are well documented as being some of the most frequent mutations found in UC. Despite advances in treatment, survival outcomes remain poor, especially in advanced stages. To promote future pharmacotherapeutic development, the molecular understanding of UC needs to be continually updated using more recently available databases.
Methods
This study utilizes the AACR Project GENIE database from the American Association for Cancer Research to explore the mutational profiles of patients with UC. Gene mutation frequencies were calculated, and two Kaplan-Meier curves were drawn for each gene, showing one curve for patients with the mutation and one for those without. Log-Rank tests were calculated with subsequent FDR (Benjamini–Hochberg) correction applied to account for multiple hypothesis testing. Data was analyzed using R 4.4.2 and statistical significance was set at α = 0.05.
Results
In this study, 4525 patients had histology consistent with UC. The 5 most common mutations were TERT (n = 1714, 37.9%), TP53 (n = 1689, 37.3%), KDM6A (n = 1091, 24.1%), ARID1A (n = 872, 19.3%), and FGFR3 (n = 762, 16.8%). Mutations associated with differential survival outcomes included ERCC2 (mutated n = 387, wild type n = 3751, p < 0.0001), KDM6A (mutated n = 1091, wild type n = 3047, p < 0.0001), TERT (mutated n = 1714, wild type n = 2424), and TP53 (mutated n = 1689, wild type n = 2449, p < 0.0001).
Conclusions
Interestingly, while mutations in TP53 and ERCC2 were associated with shorter median survival, mutations in KDM6A and TERT were associated with longer median survival.
Communication Modality (CM) Among Veterans Using National TeleOncology (NTO) Services
Background
We examined characteristics of Veterans receiving care through NTO and their CM (e.g., telephone only [T], video only [V], or both [TV]). Relevant background: In-person VA cancer care can be challenging for many Veterans due to rurality, transportation, finances, and distance to subspecialists. Such factors may impact care modality preferences.
Methods
We linked a list of all Veterans who received NTO care with Corporate Data Warehouse data to confirm an ICD-10 diagnostic code for malignancy, and to define the number of NTO interactions, latency of days between diagnosis and first NTO interaction, and demographics. The Office of Rural Health categories for rurality and NIH categories for race were used.
Data analysis
We report descriptive statistics for CM. To compare differences between Veterans by CM, we report chi-squared tests for categorical variables and ANOVAs for continuous variables.
Results
Among 13,902 NTO Veterans with CM data, most were V (9,998, 72%), few were T 2% (n= 295), and some were TV 26% (n= 3,609). There were statistically significant differences between CM in number of interactions, latency between diagnosis and first NTO interaction, age at first NTO interaction, sex, race, rurality, and cancer type. Veterans diagnosed with lung cancer were more likely to exclusively use T. Veterans with breast cancer were more likely to exclusively use V. Specifically, T were oldest (mean age = 74.3), followed by TV (69.0) and V (61.6; p < .001). Women were most represented in V (28.3%) and Rural or highly rural residence was most common among T users (54.6%), compared to V (36.8%) and TV (43.0%; p < .001). Urban users were more prevalent in the TV group (61.9%) than in the T only group (45.4%).
Implications
We identified differences in communication modality based on Veteran characteristics. This could suggest differences in Veteran or provider preference, feasibility, or acceptability, based on CM.
Significance
While V communications appear to be achievable for many Veterans, more work is needed to determine preference, feasibility, and acceptability among Veterans and their care teams regarding V and T only cancer care.
Background
We examined characteristics of Veterans receiving care through NTO and their CM (e.g., telephone only [T], video only [V], or both [TV]). Relevant background: In-person VA cancer care can be challenging for many Veterans due to rurality, transportation, finances, and distance to subspecialists. Such factors may impact care modality preferences.
Methods
We linked a list of all Veterans who received NTO care with Corporate Data Warehouse data to confirm an ICD-10 diagnostic code for malignancy, and to define the number of NTO interactions, latency of days between diagnosis and first NTO interaction, and demographics. The Office of Rural Health categories for rurality and NIH categories for race were used.
Data analysis
We report descriptive statistics for CM. To compare differences between Veterans by CM, we report chi-squared tests for categorical variables and ANOVAs for continuous variables.
Results
Among 13,902 NTO Veterans with CM data, most were V (9,998, 72%), few were T 2% (n= 295), and some were TV 26% (n= 3,609). There were statistically significant differences between CM in number of interactions, latency between diagnosis and first NTO interaction, age at first NTO interaction, sex, race, rurality, and cancer type. Veterans diagnosed with lung cancer were more likely to exclusively use T. Veterans with breast cancer were more likely to exclusively use V. Specifically, T were oldest (mean age = 74.3), followed by TV (69.0) and V (61.6; p < .001). Women were most represented in V (28.3%) and Rural or highly rural residence was most common among T users (54.6%), compared to V (36.8%) and TV (43.0%; p < .001). Urban users were more prevalent in the TV group (61.9%) than in the T only group (45.4%).
Implications
We identified differences in communication modality based on Veteran characteristics. This could suggest differences in Veteran or provider preference, feasibility, or acceptability, based on CM.
Significance
While V communications appear to be achievable for many Veterans, more work is needed to determine preference, feasibility, and acceptability among Veterans and their care teams regarding V and T only cancer care.
Background
We examined characteristics of Veterans receiving care through NTO and their CM (e.g., telephone only [T], video only [V], or both [TV]). Relevant background: In-person VA cancer care can be challenging for many Veterans due to rurality, transportation, finances, and distance to subspecialists. Such factors may impact care modality preferences.
Methods
We linked a list of all Veterans who received NTO care with Corporate Data Warehouse data to confirm an ICD-10 diagnostic code for malignancy, and to define the number of NTO interactions, latency of days between diagnosis and first NTO interaction, and demographics. The Office of Rural Health categories for rurality and NIH categories for race were used.
Data analysis
We report descriptive statistics for CM. To compare differences between Veterans by CM, we report chi-squared tests for categorical variables and ANOVAs for continuous variables.
Results
Among 13,902 NTO Veterans with CM data, most were V (9,998, 72%), few were T 2% (n= 295), and some were TV 26% (n= 3,609). There were statistically significant differences between CM in number of interactions, latency between diagnosis and first NTO interaction, age at first NTO interaction, sex, race, rurality, and cancer type. Veterans diagnosed with lung cancer were more likely to exclusively use T. Veterans with breast cancer were more likely to exclusively use V. Specifically, T were oldest (mean age = 74.3), followed by TV (69.0) and V (61.6; p < .001). Women were most represented in V (28.3%) and Rural or highly rural residence was most common among T users (54.6%), compared to V (36.8%) and TV (43.0%; p < .001). Urban users were more prevalent in the TV group (61.9%) than in the T only group (45.4%).
Implications
We identified differences in communication modality based on Veteran characteristics. This could suggest differences in Veteran or provider preference, feasibility, or acceptability, based on CM.
Significance
While V communications appear to be achievable for many Veterans, more work is needed to determine preference, feasibility, and acceptability among Veterans and their care teams regarding V and T only cancer care.
Organs of Metastasis Predominate with Age in Non-Small Cell Lung Cancer Subtypes: National Cancer Database Analysis
Background
Patients diagnosed with lung cancer are predominantly non-small cell lung cancer (NSCLC), a leading cause of cancer-related deaths. Thus, it is imperative to investigate and distinguish the differences present at diagnosis to possibly improve survival outcomes. NSCLC commonly metastasizes within older patients near the mean age of 71 years, but also in early onset patients which represents the patients younger than the earliest lung cancer screening age of 50.
Objective
To reveal differences in ratios of metastasis locations in squamous cell carcinoma (SCC), adenocarcinoma (ACC), and adenosquamous carcinoma (ASC).
Methods
The National Cancer Database (NCDB) was utilized to identify patients diagnosed with SCC, ACC, and ASC using the histology codes 8070, 8140, and 8560 from the ICD-O-3.2 from 2004 to 2022. Age groups were 70 years. Metastases located to the brain, liver, bone, and lung were included. Chi-Square tests were performed. The data was analyzed using R version 4.4.2 and statistical significance was set to α = 0.05.
Results
In this study, 1,445,119 patients were analyzed. Chi-Square tests identified significant differences in the ratios of organ metastasis locations between age groups in each subtype (p < 0.001). SCC in each age group similarly metastasized most to bone (36.3%, 34.7%, 34.5%), but notably more local lung metastasis was observed in the oldest group (33.6%). In ACC and ASC, the oldest group also had greater ratios of spread within the lungs (28.0%, 27.2%). Overall, the younger the age group, distant spread to the brain increased (ex. 29.0%, 24.4%, 17.5%). This suggests a widely heterogenous distribution of metastases at diagnosis of NSCLC subtypes and patient age.
Conclusions
This study demonstrated that patients with SCC, ACC, or ASC subtypes of NSCLC share similar predominant locations based in part on patient age, irrespective of cancer origin. NSCLC may more distantly metastasize in younger patients to the brain, while older patients may have locally metastatic cancer. Further analysis of key demographic variables as well as common undertaken treatment options may prove informative and reveal existing differences in survival outcomes.
Background
Patients diagnosed with lung cancer are predominantly non-small cell lung cancer (NSCLC), a leading cause of cancer-related deaths. Thus, it is imperative to investigate and distinguish the differences present at diagnosis to possibly improve survival outcomes. NSCLC commonly metastasizes within older patients near the mean age of 71 years, but also in early onset patients which represents the patients younger than the earliest lung cancer screening age of 50.
Objective
To reveal differences in ratios of metastasis locations in squamous cell carcinoma (SCC), adenocarcinoma (ACC), and adenosquamous carcinoma (ASC).
Methods
The National Cancer Database (NCDB) was utilized to identify patients diagnosed with SCC, ACC, and ASC using the histology codes 8070, 8140, and 8560 from the ICD-O-3.2 from 2004 to 2022. Age groups were 70 years. Metastases located to the brain, liver, bone, and lung were included. Chi-Square tests were performed. The data was analyzed using R version 4.4.2 and statistical significance was set to α = 0.05.
Results
In this study, 1,445,119 patients were analyzed. Chi-Square tests identified significant differences in the ratios of organ metastasis locations between age groups in each subtype (p < 0.001). SCC in each age group similarly metastasized most to bone (36.3%, 34.7%, 34.5%), but notably more local lung metastasis was observed in the oldest group (33.6%). In ACC and ASC, the oldest group also had greater ratios of spread within the lungs (28.0%, 27.2%). Overall, the younger the age group, distant spread to the brain increased (ex. 29.0%, 24.4%, 17.5%). This suggests a widely heterogenous distribution of metastases at diagnosis of NSCLC subtypes and patient age.
Conclusions
This study demonstrated that patients with SCC, ACC, or ASC subtypes of NSCLC share similar predominant locations based in part on patient age, irrespective of cancer origin. NSCLC may more distantly metastasize in younger patients to the brain, while older patients may have locally metastatic cancer. Further analysis of key demographic variables as well as common undertaken treatment options may prove informative and reveal existing differences in survival outcomes.
Background
Patients diagnosed with lung cancer are predominantly non-small cell lung cancer (NSCLC), a leading cause of cancer-related deaths. Thus, it is imperative to investigate and distinguish the differences present at diagnosis to possibly improve survival outcomes. NSCLC commonly metastasizes within older patients near the mean age of 71 years, but also in early onset patients which represents the patients younger than the earliest lung cancer screening age of 50.
Objective
To reveal differences in ratios of metastasis locations in squamous cell carcinoma (SCC), adenocarcinoma (ACC), and adenosquamous carcinoma (ASC).
Methods
The National Cancer Database (NCDB) was utilized to identify patients diagnosed with SCC, ACC, and ASC using the histology codes 8070, 8140, and 8560 from the ICD-O-3.2 from 2004 to 2022. Age groups were 70 years. Metastases located to the brain, liver, bone, and lung were included. Chi-Square tests were performed. The data was analyzed using R version 4.4.2 and statistical significance was set to α = 0.05.
Results
In this study, 1,445,119 patients were analyzed. Chi-Square tests identified significant differences in the ratios of organ metastasis locations between age groups in each subtype (p < 0.001). SCC in each age group similarly metastasized most to bone (36.3%, 34.7%, 34.5%), but notably more local lung metastasis was observed in the oldest group (33.6%). In ACC and ASC, the oldest group also had greater ratios of spread within the lungs (28.0%, 27.2%). Overall, the younger the age group, distant spread to the brain increased (ex. 29.0%, 24.4%, 17.5%). This suggests a widely heterogenous distribution of metastases at diagnosis of NSCLC subtypes and patient age.
Conclusions
This study demonstrated that patients with SCC, ACC, or ASC subtypes of NSCLC share similar predominant locations based in part on patient age, irrespective of cancer origin. NSCLC may more distantly metastasize in younger patients to the brain, while older patients may have locally metastatic cancer. Further analysis of key demographic variables as well as common undertaken treatment options may prove informative and reveal existing differences in survival outcomes.
Shifting Demographics: A Temporal Analysis of the Alarming Rise in Rectal Adenocarcinoma Among Young Adults
Background
Rectal adenocarcinoma has long been associated with older adults, with routine screening typically beginning at age 45 or older. However, recent data reveal a concerning rise in rectal cancer incidence among adults under 40. These early-onset cases often present at later stages and may have distinct biological features. While some research attributes this trend to genetic or environmental factors, the contribution of socioeconomic disparities and healthcare access has not been fully explored. Identifying these influences is essential to shaping targeted prevention and early detection strategies for younger populations.
Objective
To evaluate temporal trends in rectal adenocarcinoma among young adults and assess demographic and socioeconomic predictors of early-onset diagnosis.
Methods
Data were drawn from the National Cancer Database (NCDB) for patients diagnosed with rectal adenocarcinoma from 2004 to 2022. Among 440,316 cases, 17,842 (4.1%) occurred in individuals under 40. Linear regression assessed temporal trends, while logistic regression evaluated associations between early-onset diagnosis and variables including sex, race, insurance status, income level, Charlson-Deyo comorbidity score, and tumor stage. Statistical significance was defined as α = 0.05.
Results
The number of young adults diagnosed rose from 424 in 2004 to 937 in 2022—an increase of over 120%. Each year was associated with a 1.7% rise in odds of early diagnosis (OR = 1.017, p < 0.001). Male patients had 24.7% higher odds (OR = 1.247, p < 0.001), and Black patients had 59.3% higher odds compared to White patients (OR = 1.593, p < 0.001). Non-private insurance was linked to a 41.6% decrease in early diagnosis (OR = 0.584, p < 0.001). Income level was not significant (p = 0.426). Lower Charlson-Deyo scores and higher tumor stages were also associated with early-onset cases.
Conclusions
Rectal adenocarcinoma is increasingly affecting younger adults, with significant associations across demographic and insurance variables. These findings call for improved awareness, early diagnostic strategies, and further research into underlying causes to mitigate this growing public health concern.
Background
Rectal adenocarcinoma has long been associated with older adults, with routine screening typically beginning at age 45 or older. However, recent data reveal a concerning rise in rectal cancer incidence among adults under 40. These early-onset cases often present at later stages and may have distinct biological features. While some research attributes this trend to genetic or environmental factors, the contribution of socioeconomic disparities and healthcare access has not been fully explored. Identifying these influences is essential to shaping targeted prevention and early detection strategies for younger populations.
Objective
To evaluate temporal trends in rectal adenocarcinoma among young adults and assess demographic and socioeconomic predictors of early-onset diagnosis.
Methods
Data were drawn from the National Cancer Database (NCDB) for patients diagnosed with rectal adenocarcinoma from 2004 to 2022. Among 440,316 cases, 17,842 (4.1%) occurred in individuals under 40. Linear regression assessed temporal trends, while logistic regression evaluated associations between early-onset diagnosis and variables including sex, race, insurance status, income level, Charlson-Deyo comorbidity score, and tumor stage. Statistical significance was defined as α = 0.05.
Results
The number of young adults diagnosed rose from 424 in 2004 to 937 in 2022—an increase of over 120%. Each year was associated with a 1.7% rise in odds of early diagnosis (OR = 1.017, p < 0.001). Male patients had 24.7% higher odds (OR = 1.247, p < 0.001), and Black patients had 59.3% higher odds compared to White patients (OR = 1.593, p < 0.001). Non-private insurance was linked to a 41.6% decrease in early diagnosis (OR = 0.584, p < 0.001). Income level was not significant (p = 0.426). Lower Charlson-Deyo scores and higher tumor stages were also associated with early-onset cases.
Conclusions
Rectal adenocarcinoma is increasingly affecting younger adults, with significant associations across demographic and insurance variables. These findings call for improved awareness, early diagnostic strategies, and further research into underlying causes to mitigate this growing public health concern.
Background
Rectal adenocarcinoma has long been associated with older adults, with routine screening typically beginning at age 45 or older. However, recent data reveal a concerning rise in rectal cancer incidence among adults under 40. These early-onset cases often present at later stages and may have distinct biological features. While some research attributes this trend to genetic or environmental factors, the contribution of socioeconomic disparities and healthcare access has not been fully explored. Identifying these influences is essential to shaping targeted prevention and early detection strategies for younger populations.
Objective
To evaluate temporal trends in rectal adenocarcinoma among young adults and assess demographic and socioeconomic predictors of early-onset diagnosis.
Methods
Data were drawn from the National Cancer Database (NCDB) for patients diagnosed with rectal adenocarcinoma from 2004 to 2022. Among 440,316 cases, 17,842 (4.1%) occurred in individuals under 40. Linear regression assessed temporal trends, while logistic regression evaluated associations between early-onset diagnosis and variables including sex, race, insurance status, income level, Charlson-Deyo comorbidity score, and tumor stage. Statistical significance was defined as α = 0.05.
Results
The number of young adults diagnosed rose from 424 in 2004 to 937 in 2022—an increase of over 120%. Each year was associated with a 1.7% rise in odds of early diagnosis (OR = 1.017, p < 0.001). Male patients had 24.7% higher odds (OR = 1.247, p < 0.001), and Black patients had 59.3% higher odds compared to White patients (OR = 1.593, p < 0.001). Non-private insurance was linked to a 41.6% decrease in early diagnosis (OR = 0.584, p < 0.001). Income level was not significant (p = 0.426). Lower Charlson-Deyo scores and higher tumor stages were also associated with early-onset cases.
Conclusions
Rectal adenocarcinoma is increasingly affecting younger adults, with significant associations across demographic and insurance variables. These findings call for improved awareness, early diagnostic strategies, and further research into underlying causes to mitigate this growing public health concern.
Epidemiology and Survival of Parotid Gland Malignancies With Brain Metastases: A Population- Based Study
Background
Parotid gland malignancies are a rare subset of salivary gland tumors, comprising approximately 1–3% of all head and neck cancers. While distant metastases commonly involve the lungs, brain metastases are exceedingly rare and remain poorly characterized. Management typically includes stereotactic radiosurgery or whole-brain radiation. This study evaluates the incidence, clinicopathologic features, and survival outcomes of patients with parotid gland tumors and brain metastases using data from Surveillance, Epidemiology, and End Results (SEER) database.
Methods
SEER database (2010–2022) was queried for patients diagnosed with primary malignant neoplasms of the parotid gland (ICD-O-3 site code C07.9). Cases of brain metastases were identified using SEER metastatic site variables. Age-adjusted incidence rates (IR) per 100,000 population were calculated using SEER*Stat 8.4.5. Kaplan-Meier survival analyses were conducted using GraphPad Prism, and survival differences were assessed using the log-rank test.
Results
Among 12,951 patients diagnosed with parotid malignancy, 47 (0.36%) had brain metastases. The median age at diagnosis was 67 years, and 77.5% were male. The overall incidence rate (IR) of brain metastases was 0.00235 per 100,000 population, with a significantly higher rate observed in males compared to females (p < 0.0001). The most common histologic subtype associated with brain involvement was squamous cell carcinoma (SCC, n=10), followed by adenocarcinoma. Median overall survival (mOS) for patients with brain metastases was 2 months (hazard ratio [HR] 6.28; 95% CI: 2.71–14.55), compared to 131 months for those without brain involvement (p < 0.001). 1-year cancer-specific survival for patients with brain metastases was 38%. Among patients with parotid SCC and brain metastases, mOS was 3 months, compared to 39 months in those without brain involvement (HR 5.70; 95% CI: 1.09–29.68; p < 0.0001).
Conclusions
Brain metastases from parotid gland cancers, though rare, are associated with markedly poor outcomes. This highlights the importance of early neurologic assessment and brain imaging in high-risk patients, particularly with SCC histology. Prior studies have shown that TP53 mutations are common in parotid SCC, but their role in CNS spread remains unclear. Future research should explore molecular pathways underlying neurotropism in parotid cancers and investigate targeted systemic therapies with CNS penetration to improve outcomes.
Background
Parotid gland malignancies are a rare subset of salivary gland tumors, comprising approximately 1–3% of all head and neck cancers. While distant metastases commonly involve the lungs, brain metastases are exceedingly rare and remain poorly characterized. Management typically includes stereotactic radiosurgery or whole-brain radiation. This study evaluates the incidence, clinicopathologic features, and survival outcomes of patients with parotid gland tumors and brain metastases using data from Surveillance, Epidemiology, and End Results (SEER) database.
Methods
SEER database (2010–2022) was queried for patients diagnosed with primary malignant neoplasms of the parotid gland (ICD-O-3 site code C07.9). Cases of brain metastases were identified using SEER metastatic site variables. Age-adjusted incidence rates (IR) per 100,000 population were calculated using SEER*Stat 8.4.5. Kaplan-Meier survival analyses were conducted using GraphPad Prism, and survival differences were assessed using the log-rank test.
Results
Among 12,951 patients diagnosed with parotid malignancy, 47 (0.36%) had brain metastases. The median age at diagnosis was 67 years, and 77.5% were male. The overall incidence rate (IR) of brain metastases was 0.00235 per 100,000 population, with a significantly higher rate observed in males compared to females (p < 0.0001). The most common histologic subtype associated with brain involvement was squamous cell carcinoma (SCC, n=10), followed by adenocarcinoma. Median overall survival (mOS) for patients with brain metastases was 2 months (hazard ratio [HR] 6.28; 95% CI: 2.71–14.55), compared to 131 months for those without brain involvement (p < 0.001). 1-year cancer-specific survival for patients with brain metastases was 38%. Among patients with parotid SCC and brain metastases, mOS was 3 months, compared to 39 months in those without brain involvement (HR 5.70; 95% CI: 1.09–29.68; p < 0.0001).
Conclusions
Brain metastases from parotid gland cancers, though rare, are associated with markedly poor outcomes. This highlights the importance of early neurologic assessment and brain imaging in high-risk patients, particularly with SCC histology. Prior studies have shown that TP53 mutations are common in parotid SCC, but their role in CNS spread remains unclear. Future research should explore molecular pathways underlying neurotropism in parotid cancers and investigate targeted systemic therapies with CNS penetration to improve outcomes.
Background
Parotid gland malignancies are a rare subset of salivary gland tumors, comprising approximately 1–3% of all head and neck cancers. While distant metastases commonly involve the lungs, brain metastases are exceedingly rare and remain poorly characterized. Management typically includes stereotactic radiosurgery or whole-brain radiation. This study evaluates the incidence, clinicopathologic features, and survival outcomes of patients with parotid gland tumors and brain metastases using data from Surveillance, Epidemiology, and End Results (SEER) database.
Methods
SEER database (2010–2022) was queried for patients diagnosed with primary malignant neoplasms of the parotid gland (ICD-O-3 site code C07.9). Cases of brain metastases were identified using SEER metastatic site variables. Age-adjusted incidence rates (IR) per 100,000 population were calculated using SEER*Stat 8.4.5. Kaplan-Meier survival analyses were conducted using GraphPad Prism, and survival differences were assessed using the log-rank test.
Results
Among 12,951 patients diagnosed with parotid malignancy, 47 (0.36%) had brain metastases. The median age at diagnosis was 67 years, and 77.5% were male. The overall incidence rate (IR) of brain metastases was 0.00235 per 100,000 population, with a significantly higher rate observed in males compared to females (p < 0.0001). The most common histologic subtype associated with brain involvement was squamous cell carcinoma (SCC, n=10), followed by adenocarcinoma. Median overall survival (mOS) for patients with brain metastases was 2 months (hazard ratio [HR] 6.28; 95% CI: 2.71–14.55), compared to 131 months for those without brain involvement (p < 0.001). 1-year cancer-specific survival for patients with brain metastases was 38%. Among patients with parotid SCC and brain metastases, mOS was 3 months, compared to 39 months in those without brain involvement (HR 5.70; 95% CI: 1.09–29.68; p < 0.0001).
Conclusions
Brain metastases from parotid gland cancers, though rare, are associated with markedly poor outcomes. This highlights the importance of early neurologic assessment and brain imaging in high-risk patients, particularly with SCC histology. Prior studies have shown that TP53 mutations are common in parotid SCC, but their role in CNS spread remains unclear. Future research should explore molecular pathways underlying neurotropism in parotid cancers and investigate targeted systemic therapies with CNS penetration to improve outcomes.
Augmenting DNA Damage by Chemotherapy With CDK7 Inhibition to Disrupt PARP Expression in Cholangiocarcinoma
Assessing Geographical Trends in End-of-Life Cancer Care Using CDC WONDER’s Place of Death Data
Background
19.8% of all deaths in the US in 2023 were due to cancer. Despite its prevalence, there is minimal literature analyzing geographical trends in end-of-life care in cancer patients. This study aims to assess the evolution of end-of-life preferences in cancer patients, particularly during the COVID-19 pandemic, and account for geographical disparities to optimize palliative care delivery.
Methods
The CDC WONDER database was used to collect data on place of death (home, hospice, medical facilities, nursing homes) in patients over 25 years old that died with malignant neoplasms (ICD 10: C00- C97) in the US from 2003-2023. Deaths were stratified by region and urbanization. Proportional mortality was calculated, and statistically significant trends in mortality over time were identified using Joinpoint regression.
Results
There were 13,654,631 total deaths from malignant neoplasms over the study period. Home (40.3%) was the most common place of death followed by medical facilities (30.4%), nursing homes (14.3%), and hospice (8.9%). In 2020, all places experienced a decreased in proportion except for home which rose 7.0% from 41.7% to 48.7%. The South had the highest hospice rates (11.3%); 5.0% greater than the next highest region (Northeast; 8.3%). The West had the highest home rates (47.1%); 6.2% greater than the next closest region (South; 40.9%). The Northeast had the highest medical facility rates (36.0%); 5.5% higher than the next highest region (South, 30.5%). Nonmetro areas (< 50,000 population) had the lowest hospice (4.9%) and highest nursing home rates (15.8%). They also saw a substantial jump (+15.4%) in home deaths from 2019-21. All urbanizations saw a drop in medical facility deaths in 2020 but all have since climbed to surpass their 2019 rates except for nonmetro areas which have dropped 7.3% from 2020-2023.
Conclusion
Hospice and home deaths have increased in frequency with home deaths spiking during the COVID-19 pandemic. Geographical disparities persist in end-of-life care, particularly in nonmetro areas. This highlights the need to increase education and access to palliative care. Further research should aim at why the rural populations have failed to revert to pre-COVID trends like the other urbanization groups.
Background
19.8% of all deaths in the US in 2023 were due to cancer. Despite its prevalence, there is minimal literature analyzing geographical trends in end-of-life care in cancer patients. This study aims to assess the evolution of end-of-life preferences in cancer patients, particularly during the COVID-19 pandemic, and account for geographical disparities to optimize palliative care delivery.
Methods
The CDC WONDER database was used to collect data on place of death (home, hospice, medical facilities, nursing homes) in patients over 25 years old that died with malignant neoplasms (ICD 10: C00- C97) in the US from 2003-2023. Deaths were stratified by region and urbanization. Proportional mortality was calculated, and statistically significant trends in mortality over time were identified using Joinpoint regression.
Results
There were 13,654,631 total deaths from malignant neoplasms over the study period. Home (40.3%) was the most common place of death followed by medical facilities (30.4%), nursing homes (14.3%), and hospice (8.9%). In 2020, all places experienced a decreased in proportion except for home which rose 7.0% from 41.7% to 48.7%. The South had the highest hospice rates (11.3%); 5.0% greater than the next highest region (Northeast; 8.3%). The West had the highest home rates (47.1%); 6.2% greater than the next closest region (South; 40.9%). The Northeast had the highest medical facility rates (36.0%); 5.5% higher than the next highest region (South, 30.5%). Nonmetro areas (< 50,000 population) had the lowest hospice (4.9%) and highest nursing home rates (15.8%). They also saw a substantial jump (+15.4%) in home deaths from 2019-21. All urbanizations saw a drop in medical facility deaths in 2020 but all have since climbed to surpass their 2019 rates except for nonmetro areas which have dropped 7.3% from 2020-2023.
Conclusion
Hospice and home deaths have increased in frequency with home deaths spiking during the COVID-19 pandemic. Geographical disparities persist in end-of-life care, particularly in nonmetro areas. This highlights the need to increase education and access to palliative care. Further research should aim at why the rural populations have failed to revert to pre-COVID trends like the other urbanization groups.
Background
19.8% of all deaths in the US in 2023 were due to cancer. Despite its prevalence, there is minimal literature analyzing geographical trends in end-of-life care in cancer patients. This study aims to assess the evolution of end-of-life preferences in cancer patients, particularly during the COVID-19 pandemic, and account for geographical disparities to optimize palliative care delivery.
Methods
The CDC WONDER database was used to collect data on place of death (home, hospice, medical facilities, nursing homes) in patients over 25 years old that died with malignant neoplasms (ICD 10: C00- C97) in the US from 2003-2023. Deaths were stratified by region and urbanization. Proportional mortality was calculated, and statistically significant trends in mortality over time were identified using Joinpoint regression.
Results
There were 13,654,631 total deaths from malignant neoplasms over the study period. Home (40.3%) was the most common place of death followed by medical facilities (30.4%), nursing homes (14.3%), and hospice (8.9%). In 2020, all places experienced a decreased in proportion except for home which rose 7.0% from 41.7% to 48.7%. The South had the highest hospice rates (11.3%); 5.0% greater than the next highest region (Northeast; 8.3%). The West had the highest home rates (47.1%); 6.2% greater than the next closest region (South; 40.9%). The Northeast had the highest medical facility rates (36.0%); 5.5% higher than the next highest region (South, 30.5%). Nonmetro areas (< 50,000 population) had the lowest hospice (4.9%) and highest nursing home rates (15.8%). They also saw a substantial jump (+15.4%) in home deaths from 2019-21. All urbanizations saw a drop in medical facility deaths in 2020 but all have since climbed to surpass their 2019 rates except for nonmetro areas which have dropped 7.3% from 2020-2023.
Conclusion
Hospice and home deaths have increased in frequency with home deaths spiking during the COVID-19 pandemic. Geographical disparities persist in end-of-life care, particularly in nonmetro areas. This highlights the need to increase education and access to palliative care. Further research should aim at why the rural populations have failed to revert to pre-COVID trends like the other urbanization groups.