TBD Meeting (2910-22)

A ketogenic diet fed to mice with epithelial ovarian cancer led to significantly increased tumor growth and gut microbiome alterations, according to study recently presented at the annual meeting of the Society of Gynecologic Oncology.

“The keto diet is very popular, especially among patients who believe it may treat cancer by starving tumors of the fuel they need to grow, altering the immune system, and other anticancer effects,” said study leader Mariam AlHilli, MD, of the Cleveland Clinic.

The findings are surprising because in other studies the high-fat, zero-carb ketogenic diet has demonstrated tumor-suppressing effects. It has been under study as a possible adjuvant therapy for other cancers, such as glioblastoma, colon cancer, prostate cancer, and pancreatic cancer.

“While we don’t know yet whether these findings extend to patients, the results in animals indicate that instead of being protective, the keto diet appears to promote ovarian cancer growth and progression,” Dr. AlHilli said. In the present study, tumor bearing mice were fed a keto diet consisting of 10% protein, 0% carbohydrates, and 90% fat, while the high-fat diet was 10% protein, 15% carbohydrates, and 75% fat. The control diet consisted of 10% protein, 77% carbohydrates, and 13% fat. Epithelial ovarian cancer tumor growth was monitored weekly.

Over the 6- to 10-week course of study, a 9.1-fold increase from baseline in tumor growth was observed in the keto diet-fed mice (n = 20). Among mice fed a high-fat diet (n = 20) that included some carbohydrates, tumor growth increased 2.0-fold from baseline, and among control group mice (n = 20) fed a low-fat, high carbohydrate diet, tumor growth increased 3.1-fold.

The investigators observed several hallmarks of tumor progression: tumor associated macrophages were enriched significantly, activated lymphoid cells (natural killer cells) were significantly reduced (P < .001), and M2:M1 polarization trended higher. Also, in keto diet–fed mice, gene set enrichment analysis revealed that epithelial ovarian cancer tumors had increased angiogenesis and inflammatory responses, enhanced epithelial-to-mesenchymal transition phenotype, and altered lipid metabolism. Compared with high-fat diet–fed mice, the keto-fed mice had increases in lipid catalytic activity and catabolism, as well as decreases in lipid synthesis.

“The tumor increase could be mediated by the gut microbiome or by gene alterations or by metabolite levels that influence tumor growth. It’s possible that each cancer type is different. The composition of the diet may be a factor, as well as how tumors metabolize fat and ketones,” Dr. AlHilli said.

The results need to be confirmed in preclinical animal studies and in additional models, she added.

The study was funded by a K12 Grant and internal funding from Cleveland Clinic. Dr. AlHilli declared no relevant disclosures.

A ketogenic diet fed to mice with epithelial ovarian cancer led to significantly increased tumor growth and gut microbiome alterations, according to study recently presented at the annual meeting of the Society of Gynecologic Oncology.

“The keto diet is very popular, especially among patients who believe it may treat cancer by starving tumors of the fuel they need to grow, altering the immune system, and other anticancer effects,” said study leader Mariam AlHilli, MD, of the Cleveland Clinic.

The findings are surprising because in other studies the high-fat, zero-carb ketogenic diet has demonstrated tumor-suppressing effects. It has been under study as a possible adjuvant therapy for other cancers, such as glioblastoma, colon cancer, prostate cancer, and pancreatic cancer.

“While we don’t know yet whether these findings extend to patients, the results in animals indicate that instead of being protective, the keto diet appears to promote ovarian cancer growth and progression,” Dr. AlHilli said. In the present study, tumor bearing mice were fed a keto diet consisting of 10% protein, 0% carbohydrates, and 90% fat, while the high-fat diet was 10% protein, 15% carbohydrates, and 75% fat. The control diet consisted of 10% protein, 77% carbohydrates, and 13% fat. Epithelial ovarian cancer tumor growth was monitored weekly.

Over the 6- to 10-week course of study, a 9.1-fold increase from baseline in tumor growth was observed in the keto diet-fed mice (n = 20). Among mice fed a high-fat diet (n = 20) that included some carbohydrates, tumor growth increased 2.0-fold from baseline, and among control group mice (n = 20) fed a low-fat, high carbohydrate diet, tumor growth increased 3.1-fold.

The investigators observed several hallmarks of tumor progression: tumor associated macrophages were enriched significantly, activated lymphoid cells (natural killer cells) were significantly reduced (P < .001), and M2:M1 polarization trended higher. Also, in keto diet–fed mice, gene set enrichment analysis revealed that epithelial ovarian cancer tumors had increased angiogenesis and inflammatory responses, enhanced epithelial-to-mesenchymal transition phenotype, and altered lipid metabolism. Compared with high-fat diet–fed mice, the keto-fed mice had increases in lipid catalytic activity and catabolism, as well as decreases in lipid synthesis.

“The tumor increase could be mediated by the gut microbiome or by gene alterations or by metabolite levels that influence tumor growth. It’s possible that each cancer type is different. The composition of the diet may be a factor, as well as how tumors metabolize fat and ketones,” Dr. AlHilli said.

The results need to be confirmed in preclinical animal studies and in additional models, she added.

The study was funded by a K12 Grant and internal funding from Cleveland Clinic. Dr. AlHilli declared no relevant disclosures.

A ketogenic diet fed to mice with epithelial ovarian cancer led to significantly increased tumor growth and gut microbiome alterations, according to study recently presented at the annual meeting of the Society of Gynecologic Oncology.

“The keto diet is very popular, especially among patients who believe it may treat cancer by starving tumors of the fuel they need to grow, altering the immune system, and other anticancer effects,” said study leader Mariam AlHilli, MD, of the Cleveland Clinic.

The findings are surprising because in other studies the high-fat, zero-carb ketogenic diet has demonstrated tumor-suppressing effects. It has been under study as a possible adjuvant therapy for other cancers, such as glioblastoma, colon cancer, prostate cancer, and pancreatic cancer.

“While we don’t know yet whether these findings extend to patients, the results in animals indicate that instead of being protective, the keto diet appears to promote ovarian cancer growth and progression,” Dr. AlHilli said. In the present study, tumor bearing mice were fed a keto diet consisting of 10% protein, 0% carbohydrates, and 90% fat, while the high-fat diet was 10% protein, 15% carbohydrates, and 75% fat. The control diet consisted of 10% protein, 77% carbohydrates, and 13% fat. Epithelial ovarian cancer tumor growth was monitored weekly.

Over the 6- to 10-week course of study, a 9.1-fold increase from baseline in tumor growth was observed in the keto diet-fed mice (n = 20). Among mice fed a high-fat diet (n = 20) that included some carbohydrates, tumor growth increased 2.0-fold from baseline, and among control group mice (n = 20) fed a low-fat, high carbohydrate diet, tumor growth increased 3.1-fold.

The investigators observed several hallmarks of tumor progression: tumor associated macrophages were enriched significantly, activated lymphoid cells (natural killer cells) were significantly reduced (P < .001), and M2:M1 polarization trended higher. Also, in keto diet–fed mice, gene set enrichment analysis revealed that epithelial ovarian cancer tumors had increased angiogenesis and inflammatory responses, enhanced epithelial-to-mesenchymal transition phenotype, and altered lipid metabolism. Compared with high-fat diet–fed mice, the keto-fed mice had increases in lipid catalytic activity and catabolism, as well as decreases in lipid synthesis.

“The tumor increase could be mediated by the gut microbiome or by gene alterations or by metabolite levels that influence tumor growth. It’s possible that each cancer type is different. The composition of the diet may be a factor, as well as how tumors metabolize fat and ketones,” Dr. AlHilli said.

The results need to be confirmed in preclinical animal studies and in additional models, she added.

The study was funded by a K12 Grant and internal funding from Cleveland Clinic. Dr. AlHilli declared no relevant disclosures.

An artificial intelligence (AI) model successfully predicted which high-grade serous ovarian cancer patients would have excellent responses to laparoscopic surgery. The model, using still-frame images from pretreatment laparoscopic surgical videos, had an overall accuracy rate of 93%, according to the pilot study’s first author, Deanna Glassman, MD, an oncologic fellow at the University of Texas MD Anderson Cancer Center, Houston.

Dr. Glassman described her research in a presentation given at the annual meeting of the Society of Gynecologic Oncology.

While the AI model successfully identified all excellent-response patients, it did classify about a third of patients with poor responses as excellent responses. The smaller number of images in the poor-response category, Dr. Glassman speculated, may explain the misclassification.

Researchers took 435 representative still-frame images from pretreatment laparoscopic surgical videos of 113 patients with pathologically proven high-grade serous ovarian cancer. Using 70% of the images to train the model, they used 10% for validation and 20% for the actual testing. They developed the AI model with images from four anatomical locations (diaphragm, omentum, peritoneum, and pelvis), training it using deep learning and neural networks to extract morphological disease patterns for correlation with either of two outcomes: excellent response or poor response. An excellent response was defined as progression-free survival of 12 months or more, and poor response as PFS of 6 months or less. In the retrospective study of images, after excluding 32 gray-zone patients, 75 patients (66%) had durable responses to therapy and 6 (5%) had poor responses.

The PFS was 19 months in the excellent-response group and 3 months in the poor-response group.

Clinicians have often observed differences in gross morphology within the single histologic diagnosis of high-grade serous ovarian cancer. The research intent was to determine if AI could detect these distinct morphological patterns in the still frame images taken at the time of laparoscopy, and correlate them with the eventual clinical outcomes. Dr. Glassman and colleagues are currently validating the model with a much larger cohort, and will look into clinical testing.

“The big-picture goal,” Dr. Glassman said in an interview, “would be to utilize the model to predict which patients would do well with traditional standard of care treatments and those who wouldn’t do well so that we can personalize the treatment plan for those patients with alternative agents and therapies.”

Once validated, the model could also be employed to identify patterns of disease in other gynecologic cancers or distinguish between viable and necrosed malignant tissue.

The study’s predominant limitation was the small sample size which is being addressed in a larger ongoing study.

Funding was provided by a T32 grant, MD Anderson Cancer Center Support Grant, MD Anderson Ovarian Cancer Moon Shot, SPORE in Ovarian Cancer, the American Cancer Society, and the Ovarian Cancer Research Alliance. Dr. Glassman declared no relevant financial relationships.

An artificial intelligence (AI) model successfully predicted which high-grade serous ovarian cancer patients would have excellent responses to laparoscopic surgery. The model, using still-frame images from pretreatment laparoscopic surgical videos, had an overall accuracy rate of 93%, according to the pilot study’s first author, Deanna Glassman, MD, an oncologic fellow at the University of Texas MD Anderson Cancer Center, Houston.

Dr. Glassman described her research in a presentation given at the annual meeting of the Society of Gynecologic Oncology.

While the AI model successfully identified all excellent-response patients, it did classify about a third of patients with poor responses as excellent responses. The smaller number of images in the poor-response category, Dr. Glassman speculated, may explain the misclassification.

Researchers took 435 representative still-frame images from pretreatment laparoscopic surgical videos of 113 patients with pathologically proven high-grade serous ovarian cancer. Using 70% of the images to train the model, they used 10% for validation and 20% for the actual testing. They developed the AI model with images from four anatomical locations (diaphragm, omentum, peritoneum, and pelvis), training it using deep learning and neural networks to extract morphological disease patterns for correlation with either of two outcomes: excellent response or poor response. An excellent response was defined as progression-free survival of 12 months or more, and poor response as PFS of 6 months or less. In the retrospective study of images, after excluding 32 gray-zone patients, 75 patients (66%) had durable responses to therapy and 6 (5%) had poor responses.

The PFS was 19 months in the excellent-response group and 3 months in the poor-response group.

Clinicians have often observed differences in gross morphology within the single histologic diagnosis of high-grade serous ovarian cancer. The research intent was to determine if AI could detect these distinct morphological patterns in the still frame images taken at the time of laparoscopy, and correlate them with the eventual clinical outcomes. Dr. Glassman and colleagues are currently validating the model with a much larger cohort, and will look into clinical testing.

“The big-picture goal,” Dr. Glassman said in an interview, “would be to utilize the model to predict which patients would do well with traditional standard of care treatments and those who wouldn’t do well so that we can personalize the treatment plan for those patients with alternative agents and therapies.”

Once validated, the model could also be employed to identify patterns of disease in other gynecologic cancers or distinguish between viable and necrosed malignant tissue.

The study’s predominant limitation was the small sample size which is being addressed in a larger ongoing study.

Funding was provided by a T32 grant, MD Anderson Cancer Center Support Grant, MD Anderson Ovarian Cancer Moon Shot, SPORE in Ovarian Cancer, the American Cancer Society, and the Ovarian Cancer Research Alliance. Dr. Glassman declared no relevant financial relationships.

An artificial intelligence (AI) model successfully predicted which high-grade serous ovarian cancer patients would have excellent responses to laparoscopic surgery. The model, using still-frame images from pretreatment laparoscopic surgical videos, had an overall accuracy rate of 93%, according to the pilot study’s first author, Deanna Glassman, MD, an oncologic fellow at the University of Texas MD Anderson Cancer Center, Houston.

Dr. Glassman described her research in a presentation given at the annual meeting of the Society of Gynecologic Oncology.

While the AI model successfully identified all excellent-response patients, it did classify about a third of patients with poor responses as excellent responses. The smaller number of images in the poor-response category, Dr. Glassman speculated, may explain the misclassification.

Researchers took 435 representative still-frame images from pretreatment laparoscopic surgical videos of 113 patients with pathologically proven high-grade serous ovarian cancer. Using 70% of the images to train the model, they used 10% for validation and 20% for the actual testing. They developed the AI model with images from four anatomical locations (diaphragm, omentum, peritoneum, and pelvis), training it using deep learning and neural networks to extract morphological disease patterns for correlation with either of two outcomes: excellent response or poor response. An excellent response was defined as progression-free survival of 12 months or more, and poor response as PFS of 6 months or less. In the retrospective study of images, after excluding 32 gray-zone patients, 75 patients (66%) had durable responses to therapy and 6 (5%) had poor responses.

The PFS was 19 months in the excellent-response group and 3 months in the poor-response group.

Clinicians have often observed differences in gross morphology within the single histologic diagnosis of high-grade serous ovarian cancer. The research intent was to determine if AI could detect these distinct morphological patterns in the still frame images taken at the time of laparoscopy, and correlate them with the eventual clinical outcomes. Dr. Glassman and colleagues are currently validating the model with a much larger cohort, and will look into clinical testing.

“The big-picture goal,” Dr. Glassman said in an interview, “would be to utilize the model to predict which patients would do well with traditional standard of care treatments and those who wouldn’t do well so that we can personalize the treatment plan for those patients with alternative agents and therapies.”

Once validated, the model could also be employed to identify patterns of disease in other gynecologic cancers or distinguish between viable and necrosed malignant tissue.

The study’s predominant limitation was the small sample size which is being addressed in a larger ongoing study.

Funding was provided by a T32 grant, MD Anderson Cancer Center Support Grant, MD Anderson Ovarian Cancer Moon Shot, SPORE in Ovarian Cancer, the American Cancer Society, and the Ovarian Cancer Research Alliance. Dr. Glassman declared no relevant financial relationships.

Screening patients for social needs and referring patients to resources should be a routine part of cancer care, said a physician who presented a study on the social needs of patients at the Society of Gynecologic Oncology’s 2022 Annual Meeting on Women’s Cancer held in March.

The study, by Anna L. Beavis, MD, MPH, a gynecologic oncologist with the Johns Hopkins Kelly Gynecologic Oncology Service, Baltimore, identified social needs, such as financial assistance and housing insecurity, among a group of 373 patients who completed a written assessment during regular office visits.

The patients were asked about food and housing insecurities, utility and transportation needs, and financial assistance. For some patients these are such dire issues, they actually affect patient outcomes.

While the results were limited to a single urban population and may not be generalizable to other populations, Dr. Beavis said the findings are noteworthy because for physicians, these are tangible items that can be addressed to improve patient outcomes.

“The greatest obstacle is not asking the questions, it’s in ensuring there are acceptable and effective mechanisms for referrals to resources. It is important to have a plan in place to refer patients to resources before beginning a screening program,” she said.

In an interview, Dr. Beavis said that screening and referring patients to resources should be a routine part of cancer care. In this study, 92% of patients completed the questionnaire in her office and the process doesn’t slow her clinic down, she said.

“Our findings demonstrate that social needs are prevalent, and screening for them should be a routine part of the standard of care for cancer patients,” Dr. Beavis said. “Social needs are also actionable for us as physicians, because we can address tangible, individual-level needs, such as food insecurity and transportation, through the provision of resources. These needs stand in contrast to the social determinants of health, which are community-level and require changes on a much larger scale through policy decisions.”

Of the 373 patients in the study group, 74 patients were identified as having at least one social need. Fifty-seven percent asked for a referral to a partner organization for resource assistance. Fifty-eight percent of the study group were White and 42% identified as patients of color, including Black, Asian, Hispanic, American Indian/Alaska Native, and multiple/other races.

“We’ve begun to assess patient satisfaction and have found that patients feel these questions are important – plus, they’re comfortable answering them,” she said.

Dr. Beavis’ study was funded by a grant from the American Cancer Society and Pfizer Global Medical Grants under the Addressing Racial Disparities in Cancer Care Competitive Grant Program.

Screening patients for social needs and referring patients to resources should be a routine part of cancer care, said a physician who presented a study on the social needs of patients at the Society of Gynecologic Oncology’s 2022 Annual Meeting on Women’s Cancer held in March.

The study, by Anna L. Beavis, MD, MPH, a gynecologic oncologist with the Johns Hopkins Kelly Gynecologic Oncology Service, Baltimore, identified social needs, such as financial assistance and housing insecurity, among a group of 373 patients who completed a written assessment during regular office visits.

The patients were asked about food and housing insecurities, utility and transportation needs, and financial assistance. For some patients these are such dire issues, they actually affect patient outcomes.

While the results were limited to a single urban population and may not be generalizable to other populations, Dr. Beavis said the findings are noteworthy because for physicians, these are tangible items that can be addressed to improve patient outcomes.

“The greatest obstacle is not asking the questions, it’s in ensuring there are acceptable and effective mechanisms for referrals to resources. It is important to have a plan in place to refer patients to resources before beginning a screening program,” she said.

In an interview, Dr. Beavis said that screening and referring patients to resources should be a routine part of cancer care. In this study, 92% of patients completed the questionnaire in her office and the process doesn’t slow her clinic down, she said.

“Our findings demonstrate that social needs are prevalent, and screening for them should be a routine part of the standard of care for cancer patients,” Dr. Beavis said. “Social needs are also actionable for us as physicians, because we can address tangible, individual-level needs, such as food insecurity and transportation, through the provision of resources. These needs stand in contrast to the social determinants of health, which are community-level and require changes on a much larger scale through policy decisions.”

Of the 373 patients in the study group, 74 patients were identified as having at least one social need. Fifty-seven percent asked for a referral to a partner organization for resource assistance. Fifty-eight percent of the study group were White and 42% identified as patients of color, including Black, Asian, Hispanic, American Indian/Alaska Native, and multiple/other races.

“We’ve begun to assess patient satisfaction and have found that patients feel these questions are important – plus, they’re comfortable answering them,” she said.

Dr. Beavis’ study was funded by a grant from the American Cancer Society and Pfizer Global Medical Grants under the Addressing Racial Disparities in Cancer Care Competitive Grant Program.

Screening patients for social needs and referring patients to resources should be a routine part of cancer care, said a physician who presented a study on the social needs of patients at the Society of Gynecologic Oncology’s 2022 Annual Meeting on Women’s Cancer held in March.

The study, by Anna L. Beavis, MD, MPH, a gynecologic oncologist with the Johns Hopkins Kelly Gynecologic Oncology Service, Baltimore, identified social needs, such as financial assistance and housing insecurity, among a group of 373 patients who completed a written assessment during regular office visits.

The patients were asked about food and housing insecurities, utility and transportation needs, and financial assistance. For some patients these are such dire issues, they actually affect patient outcomes.

While the results were limited to a single urban population and may not be generalizable to other populations, Dr. Beavis said the findings are noteworthy because for physicians, these are tangible items that can be addressed to improve patient outcomes.

“The greatest obstacle is not asking the questions, it’s in ensuring there are acceptable and effective mechanisms for referrals to resources. It is important to have a plan in place to refer patients to resources before beginning a screening program,” she said.

In an interview, Dr. Beavis said that screening and referring patients to resources should be a routine part of cancer care. In this study, 92% of patients completed the questionnaire in her office and the process doesn’t slow her clinic down, she said.

“Our findings demonstrate that social needs are prevalent, and screening for them should be a routine part of the standard of care for cancer patients,” Dr. Beavis said. “Social needs are also actionable for us as physicians, because we can address tangible, individual-level needs, such as food insecurity and transportation, through the provision of resources. These needs stand in contrast to the social determinants of health, which are community-level and require changes on a much larger scale through policy decisions.”

Of the 373 patients in the study group, 74 patients were identified as having at least one social need. Fifty-seven percent asked for a referral to a partner organization for resource assistance. Fifty-eight percent of the study group were White and 42% identified as patients of color, including Black, Asian, Hispanic, American Indian/Alaska Native, and multiple/other races.

“We’ve begun to assess patient satisfaction and have found that patients feel these questions are important – plus, they’re comfortable answering them,” she said.

Dr. Beavis’ study was funded by a grant from the American Cancer Society and Pfizer Global Medical Grants under the Addressing Racial Disparities in Cancer Care Competitive Grant Program.

Only 8.5% of endometrial cancer recurrences were caught by routine pelvic exams in asymptomatic women in a review of 234 cases at the University of Wisconsin–Madison.

It was a much lower rate than previously reported. Asymptomatic exams picked up just 4% of recurrences among high-risk women and 14% in low-risk women.

The findings are important as cancer care shifts away from in-person follow-up – including pelvic exams – to telemedicine in the wake of the COVID-19 pandemic, said investigators who were led by University of Wisconsin medical student Hailey Milakovich.

Physicians should reassure patients and providers anxious about skipping routine pelvic exams, she said. There’s a “relatively low risk of missing an endometrial cancer recurrence when forgoing pelvic examination. This information ... is especially relevant in the era of increased use of telemedicine.”

Patient symptoms, such a pain and vaginal bleeding, were by far how most recurrences were caught, accounting for almost 80% of detections among low-risk women and 60% among high-risk patients. It highlights the importance of telling women what to report to their providers, Ms. Milakovich said when she recently presented her study at the Society of Gynecologic Oncology Annual Meeting on Women’s Cancer.

“Our hope is that this information will help us better counsel our patients regarding the risk of” missing an exam, she said.

The findings speak to an ongoing question in gynecologic oncology: how intensely do endometrial cancer patients need to be followed after curative-intent treatment?
 

COVID-19 brought the issue to a head

Women who typically would have had several pelvic exams a year were channeled to virtual office visits and not pelvic exams. The move caused “some level of anxiety” for both patients and providers, Ms. Milakovich said.

The study discussant, University of California, Los Angeles, gynecologic oncologist Ritu Salani, MD, said the Wisconsin team found something “really important.”

The “investigators suggest there’s a really low utility for pelvic examinations. I think this is very timely” as health care shifts to telemedicine. It reduces the burden on women when “they don’t have to come in and pay for parking, take time off from work, or find childcare,” she said. The findings are also in line with a larger study on the issue, the TOTEM trial with almost 2,000 women, which found no overall survival benefit with intensive monitoring.

The dogma is that routine pelvic exams pick up almost 70% of endometrial cancer recurrences. The Wisconsin team wanted to test that in their 234 recurrence patients from 2010-2019, all of whom had clear documentation about how their recurrences were detected.

Ninety-nine women had low-risk disease, defined as stage 1 or 2, grade 1 or 2 endometrioid histology; 135 women had high-risk cancer, which was defined as stage 3 or 4 endometrioid disease or any other histology.

Recurrence was detected by symptoms in 78.8% of the low-risk group. Asymptomatic pelvic exams detected 14.1% of recurrences; imaging found 2%; biomarkers found 2%; and recurrences were detected by incidental findings in the rest.

Recurrence was found in the high-risk group by symptoms in 60%, imaging in 17.8%, biomarkers in 14.1%, asymptomatic pelvic exams in 4.4%, and incidental findings in 3.7%.

Patients were an average of 68.5 years old, 95.3% were White, and they lived an average of 50.2 miles from the university.

There was no commercial funding for the study. Ms. Milakovich didn’t have any disclosures. Dr. Salani is an adviser for GlaxoSmithKline, Merck, Genentech, and other companies.

Only 8.5% of endometrial cancer recurrences were caught by routine pelvic exams in asymptomatic women in a review of 234 cases at the University of Wisconsin–Madison.

It was a much lower rate than previously reported. Asymptomatic exams picked up just 4% of recurrences among high-risk women and 14% in low-risk women.

The findings are important as cancer care shifts away from in-person follow-up – including pelvic exams – to telemedicine in the wake of the COVID-19 pandemic, said investigators who were led by University of Wisconsin medical student Hailey Milakovich.

Physicians should reassure patients and providers anxious about skipping routine pelvic exams, she said. There’s a “relatively low risk of missing an endometrial cancer recurrence when forgoing pelvic examination. This information ... is especially relevant in the era of increased use of telemedicine.”

Patient symptoms, such a pain and vaginal bleeding, were by far how most recurrences were caught, accounting for almost 80% of detections among low-risk women and 60% among high-risk patients. It highlights the importance of telling women what to report to their providers, Ms. Milakovich said when she recently presented her study at the Society of Gynecologic Oncology Annual Meeting on Women’s Cancer.

“Our hope is that this information will help us better counsel our patients regarding the risk of” missing an exam, she said.

The findings speak to an ongoing question in gynecologic oncology: how intensely do endometrial cancer patients need to be followed after curative-intent treatment?
 

COVID-19 brought the issue to a head

Women who typically would have had several pelvic exams a year were channeled to virtual office visits and not pelvic exams. The move caused “some level of anxiety” for both patients and providers, Ms. Milakovich said.

The study discussant, University of California, Los Angeles, gynecologic oncologist Ritu Salani, MD, said the Wisconsin team found something “really important.”

The “investigators suggest there’s a really low utility for pelvic examinations. I think this is very timely” as health care shifts to telemedicine. It reduces the burden on women when “they don’t have to come in and pay for parking, take time off from work, or find childcare,” she said. The findings are also in line with a larger study on the issue, the TOTEM trial with almost 2,000 women, which found no overall survival benefit with intensive monitoring.

The dogma is that routine pelvic exams pick up almost 70% of endometrial cancer recurrences. The Wisconsin team wanted to test that in their 234 recurrence patients from 2010-2019, all of whom had clear documentation about how their recurrences were detected.

Ninety-nine women had low-risk disease, defined as stage 1 or 2, grade 1 or 2 endometrioid histology; 135 women had high-risk cancer, which was defined as stage 3 or 4 endometrioid disease or any other histology.

Recurrence was detected by symptoms in 78.8% of the low-risk group. Asymptomatic pelvic exams detected 14.1% of recurrences; imaging found 2%; biomarkers found 2%; and recurrences were detected by incidental findings in the rest.

Recurrence was found in the high-risk group by symptoms in 60%, imaging in 17.8%, biomarkers in 14.1%, asymptomatic pelvic exams in 4.4%, and incidental findings in 3.7%.

Patients were an average of 68.5 years old, 95.3% were White, and they lived an average of 50.2 miles from the university.

There was no commercial funding for the study. Ms. Milakovich didn’t have any disclosures. Dr. Salani is an adviser for GlaxoSmithKline, Merck, Genentech, and other companies.

Only 8.5% of endometrial cancer recurrences were caught by routine pelvic exams in asymptomatic women in a review of 234 cases at the University of Wisconsin–Madison.

It was a much lower rate than previously reported. Asymptomatic exams picked up just 4% of recurrences among high-risk women and 14% in low-risk women.

The findings are important as cancer care shifts away from in-person follow-up – including pelvic exams – to telemedicine in the wake of the COVID-19 pandemic, said investigators who were led by University of Wisconsin medical student Hailey Milakovich.

Physicians should reassure patients and providers anxious about skipping routine pelvic exams, she said. There’s a “relatively low risk of missing an endometrial cancer recurrence when forgoing pelvic examination. This information ... is especially relevant in the era of increased use of telemedicine.”

Patient symptoms, such a pain and vaginal bleeding, were by far how most recurrences were caught, accounting for almost 80% of detections among low-risk women and 60% among high-risk patients. It highlights the importance of telling women what to report to their providers, Ms. Milakovich said when she recently presented her study at the Society of Gynecologic Oncology Annual Meeting on Women’s Cancer.

“Our hope is that this information will help us better counsel our patients regarding the risk of” missing an exam, she said.

The findings speak to an ongoing question in gynecologic oncology: how intensely do endometrial cancer patients need to be followed after curative-intent treatment?
 

COVID-19 brought the issue to a head

Women who typically would have had several pelvic exams a year were channeled to virtual office visits and not pelvic exams. The move caused “some level of anxiety” for both patients and providers, Ms. Milakovich said.

The study discussant, University of California, Los Angeles, gynecologic oncologist Ritu Salani, MD, said the Wisconsin team found something “really important.”

The “investigators suggest there’s a really low utility for pelvic examinations. I think this is very timely” as health care shifts to telemedicine. It reduces the burden on women when “they don’t have to come in and pay for parking, take time off from work, or find childcare,” she said. The findings are also in line with a larger study on the issue, the TOTEM trial with almost 2,000 women, which found no overall survival benefit with intensive monitoring.

The dogma is that routine pelvic exams pick up almost 70% of endometrial cancer recurrences. The Wisconsin team wanted to test that in their 234 recurrence patients from 2010-2019, all of whom had clear documentation about how their recurrences were detected.

Ninety-nine women had low-risk disease, defined as stage 1 or 2, grade 1 or 2 endometrioid histology; 135 women had high-risk cancer, which was defined as stage 3 or 4 endometrioid disease or any other histology.

Recurrence was detected by symptoms in 78.8% of the low-risk group. Asymptomatic pelvic exams detected 14.1% of recurrences; imaging found 2%; biomarkers found 2%; and recurrences were detected by incidental findings in the rest.

Recurrence was found in the high-risk group by symptoms in 60%, imaging in 17.8%, biomarkers in 14.1%, asymptomatic pelvic exams in 4.4%, and incidental findings in 3.7%.

Patients were an average of 68.5 years old, 95.3% were White, and they lived an average of 50.2 miles from the university.

There was no commercial funding for the study. Ms. Milakovich didn’t have any disclosures. Dr. Salani is an adviser for GlaxoSmithKline, Merck, Genentech, and other companies.

Complete gross resection is much less likely for advanced ovarian cancer in women with mesenchymal tumors and complex preoperative CT findings, according to a report at the Society of Gynecologic Oncology annual meeting.

Investigators found that women with those features, compared with those without them, are 10 times more likely to have a high-complexity surgery and almost 27 times more likely to have something other than a complete (RD0) resection.

The findings speak to a common dilemma in advanced ovarian cancer, whether women should have surgery or chemotherapy first. Part of the decision hinges on the likelihood of surgical success, explained lead investigator Diogo Torres, MD, a gynecologic oncologist at Ochsner Health in New Orleans.

He and his team concluded that “preoperative CT imaging combined with tumor molecular subtyping can identify a subset of women for whom successful primary surgery is unlikely. Preoperative tumor sampling may be useful in advanced [ovarian cancer] to better triage these cases to alternative approaches.”

For years “we’ve been trying to figure out” how best to make the call between primary debulking and neoadjuvant chemotherapy, said Pamela T. Soliman, MD, MPH,a gynecologic oncologist at the University of Texas MD Anderson Cancer Center, Houston, who discussed the abstract at the meeting.

Imaging alone or CA-125 are often used to make the decision, but they’re unreliable. Diagnostic laparoscopy is accurate, but it isn’t used much, she said.

What’s unique about Dr. Torres’s approach is that, by including tumor subtype, it incorporates tumor biology. It makes sense because his team previously found that women with mesenchymal (MES) tumors are more likely than those with other subtypes to have upper abdominal and miliary disease.

The approach needs validation in a larger study, but “I really commend” the team “for incorporating biology into the decision-making because it is clearly a step in the right direction,” Dr. Soliman said.

The study included 129 women who underwent primary debulking surgery for stage 3c or 4 high-grade serous ovarian cancer; 46x women (36%) had MES tumors according to RNA profiling of surgical specimens.

Preoperative CTs were reviewed to assess diaphragmatic disease; gastrohepatic/portahepatis lesions; root of superior mesenteric artery involvement; presence of moderate to severe ascites; intrahepatic lesions, and diffuse peritoneal thickening greater than 4 mm.

Fifty-nine women (46%) were classified as “CT high,” meaning that they had two or more of those findings. Women with no more than one were categorized as “CT low.”

Patients with MES tumors and CT-high disease had the lowest rates of complete resections, 8% versus 46% for the entire cohort and 72% for non-MES, CT-low women. MES, CT-high women were also the most likely to have high-complexity surgery (81% versus 35% in the non-MES, CT-low group).

Adjusting for age, stage, and American Society of Anesthesiologists score, the odds of high-complexity surgery were 9.53 times higher and the odds of something less than a complete resection were 26.73 times greater in MES, CT-high patients, compared with non-MES, CT-low women.

“Further studies are needed to evaluate and validate this model using preoperative biopsy specimens” instead of surgical specimens, the investigators said.

No funding was reported for the work. Dr. Torres didn’t have any disclosures. Dr. Soliman is an adviser for Eisai and Amgen, a consultant for Medscape, and receives research funding from Novartis and Incyte.

Complete gross resection is much less likely for advanced ovarian cancer in women with mesenchymal tumors and complex preoperative CT findings, according to a report at the Society of Gynecologic Oncology annual meeting.

Investigators found that women with those features, compared with those without them, are 10 times more likely to have a high-complexity surgery and almost 27 times more likely to have something other than a complete (RD0) resection.

The findings speak to a common dilemma in advanced ovarian cancer, whether women should have surgery or chemotherapy first. Part of the decision hinges on the likelihood of surgical success, explained lead investigator Diogo Torres, MD, a gynecologic oncologist at Ochsner Health in New Orleans.

He and his team concluded that “preoperative CT imaging combined with tumor molecular subtyping can identify a subset of women for whom successful primary surgery is unlikely. Preoperative tumor sampling may be useful in advanced [ovarian cancer] to better triage these cases to alternative approaches.”

For years “we’ve been trying to figure out” how best to make the call between primary debulking and neoadjuvant chemotherapy, said Pamela T. Soliman, MD, MPH,a gynecologic oncologist at the University of Texas MD Anderson Cancer Center, Houston, who discussed the abstract at the meeting.

Imaging alone or CA-125 are often used to make the decision, but they’re unreliable. Diagnostic laparoscopy is accurate, but it isn’t used much, she said.

What’s unique about Dr. Torres’s approach is that, by including tumor subtype, it incorporates tumor biology. It makes sense because his team previously found that women with mesenchymal (MES) tumors are more likely than those with other subtypes to have upper abdominal and miliary disease.

The approach needs validation in a larger study, but “I really commend” the team “for incorporating biology into the decision-making because it is clearly a step in the right direction,” Dr. Soliman said.

The study included 129 women who underwent primary debulking surgery for stage 3c or 4 high-grade serous ovarian cancer; 46x women (36%) had MES tumors according to RNA profiling of surgical specimens.

Preoperative CTs were reviewed to assess diaphragmatic disease; gastrohepatic/portahepatis lesions; root of superior mesenteric artery involvement; presence of moderate to severe ascites; intrahepatic lesions, and diffuse peritoneal thickening greater than 4 mm.

Fifty-nine women (46%) were classified as “CT high,” meaning that they had two or more of those findings. Women with no more than one were categorized as “CT low.”

Patients with MES tumors and CT-high disease had the lowest rates of complete resections, 8% versus 46% for the entire cohort and 72% for non-MES, CT-low women. MES, CT-high women were also the most likely to have high-complexity surgery (81% versus 35% in the non-MES, CT-low group).

Adjusting for age, stage, and American Society of Anesthesiologists score, the odds of high-complexity surgery were 9.53 times higher and the odds of something less than a complete resection were 26.73 times greater in MES, CT-high patients, compared with non-MES, CT-low women.

“Further studies are needed to evaluate and validate this model using preoperative biopsy specimens” instead of surgical specimens, the investigators said.

No funding was reported for the work. Dr. Torres didn’t have any disclosures. Dr. Soliman is an adviser for Eisai and Amgen, a consultant for Medscape, and receives research funding from Novartis and Incyte.

Complete gross resection is much less likely for advanced ovarian cancer in women with mesenchymal tumors and complex preoperative CT findings, according to a report at the Society of Gynecologic Oncology annual meeting.

Investigators found that women with those features, compared with those without them, are 10 times more likely to have a high-complexity surgery and almost 27 times more likely to have something other than a complete (RD0) resection.

The findings speak to a common dilemma in advanced ovarian cancer, whether women should have surgery or chemotherapy first. Part of the decision hinges on the likelihood of surgical success, explained lead investigator Diogo Torres, MD, a gynecologic oncologist at Ochsner Health in New Orleans.

He and his team concluded that “preoperative CT imaging combined with tumor molecular subtyping can identify a subset of women for whom successful primary surgery is unlikely. Preoperative tumor sampling may be useful in advanced [ovarian cancer] to better triage these cases to alternative approaches.”

For years “we’ve been trying to figure out” how best to make the call between primary debulking and neoadjuvant chemotherapy, said Pamela T. Soliman, MD, MPH,a gynecologic oncologist at the University of Texas MD Anderson Cancer Center, Houston, who discussed the abstract at the meeting.

Imaging alone or CA-125 are often used to make the decision, but they’re unreliable. Diagnostic laparoscopy is accurate, but it isn’t used much, she said.

What’s unique about Dr. Torres’s approach is that, by including tumor subtype, it incorporates tumor biology. It makes sense because his team previously found that women with mesenchymal (MES) tumors are more likely than those with other subtypes to have upper abdominal and miliary disease.

The approach needs validation in a larger study, but “I really commend” the team “for incorporating biology into the decision-making because it is clearly a step in the right direction,” Dr. Soliman said.

The study included 129 women who underwent primary debulking surgery for stage 3c or 4 high-grade serous ovarian cancer; 46x women (36%) had MES tumors according to RNA profiling of surgical specimens.

Preoperative CTs were reviewed to assess diaphragmatic disease; gastrohepatic/portahepatis lesions; root of superior mesenteric artery involvement; presence of moderate to severe ascites; intrahepatic lesions, and diffuse peritoneal thickening greater than 4 mm.

Fifty-nine women (46%) were classified as “CT high,” meaning that they had two or more of those findings. Women with no more than one were categorized as “CT low.”

Patients with MES tumors and CT-high disease had the lowest rates of complete resections, 8% versus 46% for the entire cohort and 72% for non-MES, CT-low women. MES, CT-high women were also the most likely to have high-complexity surgery (81% versus 35% in the non-MES, CT-low group).

Adjusting for age, stage, and American Society of Anesthesiologists score, the odds of high-complexity surgery were 9.53 times higher and the odds of something less than a complete resection were 26.73 times greater in MES, CT-high patients, compared with non-MES, CT-low women.

“Further studies are needed to evaluate and validate this model using preoperative biopsy specimens” instead of surgical specimens, the investigators said.

No funding was reported for the work. Dr. Torres didn’t have any disclosures. Dr. Soliman is an adviser for Eisai and Amgen, a consultant for Medscape, and receives research funding from Novartis and Incyte.