Higher incidence of venous thromboembolism associated with increasing lines of treatment in heavily treated ovarian cancer patients.

OBJECTIVE: Ovarian cancer is associated with a high rate of venous thromboembolism. Our objective is to report the incidence of venous thromboembolism in recurrent ovarian cancer, assess the impact on morbidity and mortality, and evaluate predictors of venous thromboembolism. METHODS: A retrospective single institution cohort study was performed. Patients with a diagnosis of recurrent ovarian cancer between 2007 and 2020 and no previous history of venous thromboembolism were identified. Demographic and clinical variables were collected. Univariate and multivariable analyses were performed to identify predictors of venous thromboembolism. RESULTS: Of the 345 patients included in this study, 77 (22.3%) developed a venous thromboembolism. Most (n=56, 72.7%) were actively receiving treatment at the time of diagnosis of venous thromboembolism, of whom 44 (78.6%) had received three or more lines of treatment. In total, 42 (54.5%) were admitted to hospital on diagnosis and one mortality (1.3%) occurred secondary to venous thromboembolism. An intermediate/high risk Khorana score was not predictive of venous thromboembolism (p=0.24). The risk of venous thromboembolism was significantly higher with increasing lines of chemotherapy (odds ratio 1.14, 95% confidence interval 1.02 to 1.28 per line, p=0.026). There was no significant difference in overall survival (62.9 vs 49.1 median months, p=0.29) between patients with and without venous thromboembolism. CONCLUSIONS: More than 20% of patients with recurrent ovarian cancer developed a venous thromboembolism, and most occurred after three or more lines of treatment. The risk of venous thromboembolism was higher with increasing lines of chemotherapy. While venous thromboembolism did not appear to impact survival in this population, nearly half required hospitalization, emphasizing the morbidity of venous thromboembolism and potential impact on healthcare costs. Further studies are needed to improve risk stratification for venous thromboembolism in this high risk population.

Association between CT-based body composition assessment and patient outcomes during neoadjuvant chemotherapy for epithelial ovarian cancer.

OBJECTIVE: The aim of this study was to characterize the body composition of patients undergoing neoadjuvant chemotherapy (NACT) for epithelial ovarian cancer (EOC), identify factors associated with sarcopenia at diagnosis, and evaluate the impact of pretreatment sarcopenia and changes in body composition parameters during therapy on perioperative and disease-related outcomes. METHODS: Patients undergoing NACT for EOC between 2008 and 2020 were identified. Pre-treatment and post-treatment contrast-enhanced CT scans were reviewed to determine skeletal muscle index (SMI) and visceral adipose tissue (VAT) area at the mid-fourth lumbar vertebral level. SMI and VAT were analyzed for association with clinical and treatment variables. RESULTS: 174 patients were identified. Mean pretreatment SMI and VAT were 38.3 cm2/m2 ± 7.9 and 51.2 cm2/m2 ± 34.3, respectively. Comparatively, mean post-treatment SMI and VAT were 37.8 cm2/m2 ± 7.9 and 43.7 cm2/m2 ± 29.7, respectively. Most patients exhibited an overall decrease in SMI from pretreatment to posttreatment scans. Caucasian race, older age, and lower body mass index at diagnosis were associated with lower pretreatment SMI. Lower pre-treatment SMI was associated with lower surgical complexity scores (p < 0.001) and estimated blood loss (p = 0.029). Decrease in SMI after NACT was associated with increased rates of ICU admissions and length of stay. While there was no association between SMI and overall survival (OS) or progression-free survival (PFS), >2% decrease per 100 days in VAT was significantly associated with worse OS. CONCLUSIONS: Patients with lower pretreatment SMI tend to undergo less complex surgery than those with higher SMI despite NACT. Decrease in VAT may be a potential indicator of worse OS. Information on body composition can aid in clinical decision making in patients with EOC.

Preoperative assessment using the five-factor modified frailty index: A call for standardized preoperative assessment and prehabilitation services in gynecologic oncology.

OBJECTIVE: To evaluate if the 5-factor modified frailty index (mFI) is associated with postoperative complications, readmissions or non-home discharge in gynecologic cancer patients undergoing surgery. METHODS: Patients with a diagnosis of gynecologic cancer (cervical, uterine, or ovarian cancer) who underwent surgery between 2014 and 2018 were identified through the National Surgical Quality Improvement Program (NSQIP) database. The 5-factor mFI was applied and patients classified into 6 categories (mFI groups 0,1,2, 3, 4 and 5). The incidence of 30-day complications, readmissions and non-home discharge was evaluated. Multivariable logistic regression models were used to determine the association between mFI category and readmissions/ complications. Adjusted probabilities of events were calculated based on patient characteristics. RESULTS: At total of 31,181 gynecologic cancer cases were included in the analysis: N = 2968 (9.4%) cervical, N = 20,862 (66.4%) uterine, and N = 7351 (23.4%) ovarian cancers. Of all patients, 46.1% were in category 0, 36.5% category 1, and 1% category 3-5. Factors associated with increased mFI included older age, African American race, laparoscopic surgery and obesity. A significant dose-response relationship between higher mFI and readmission and 30-day complications was noted on adjusted multivariable analysis (adjusted OR 2.37 (1.65-3.45) and 2.10 (1.59-2.75) for readmissions and complications, respectively, in mFI category 3-5). These associations were consistent within each cancer type. CONCLUSIONS: The 5-factor mFI universally predicts postoperative readmissions, 30-day complications and non-home discharge in patients with gynecologic cancer. Incorporation of mFI into routine preoperative assessment can identify patients for non-surgical treatments, prehabiliatation and short term home assessments.

Not all stage I and II endometrial cancers are created equal: Recurrence-free survival and cause-specific survival after observation or vaginal brachytherapy alone in all subgroups of early-stage high-intermediate and high-risk endometrial cancer.

OBJECTIVE: To evaluate recurrence-free survival (RFS) and cause-specific survival (CSS) after observation or vaginal brachytherapy (VB) alone in all subgroups of early-stage high-intermediate (HIR) and high-risk endometrial cancer (EC). METHODS: We identified patients with stage I HIR (GOG-249 criteria) and stage II endometrioid EC, and stage I and II non-endometrioid EC who underwent surgery at Mayo Clinic and Cleveland Clinic between 1999 and 2016. Three-year RFS and CSS after observation or VB only were estimated in 16 subgroups defined by risk factors. RESULTS: Among 4156 ECs, we identified 447 (10.8%) stage I endometrioid HIR, 52 (1.3%) stage II endometrioid, 350 (8.4%) stage I non-endometrioid, and 17 (0.4%) stage II non-endometrioid ECs; observation or VB alone was applied in 349 (78.1%), 24 (46.2%), 187 (53.4%), and 2 (11.8%) patients, respectively. After observation or VB, stage I HIR endometrioid EC subgroups with <2 factors among grade 3, LVSI, or stage IB had a 3-year CSS >95% (lower 95% confidence intervals limit: 89.8%), whereas subgroups with ≥2 factors had poorer outcomes. No EC-related deaths after 3 years were reported in 97 stage IA non-endometrioid ECs without myometrial invasion. Stage II ECs had poor outcomes regardless of histology. CONCLUSIONS: Observation or VB only may be sufficient in stage I endometrioid HIR ECs with <2 factors among grade 3, LVSI, or IB and in stage IA non-endometrioid ECs without myometrial invasion. Stratification of early-stage HIR and high-risk ECs into risk subgroups potentially alleviates the overtreatment and undertreatment risk and should be considered in future research.

Development and validation of a comprehensive clinical risk-scoring model for prediction of overall survival in patients with endometrioid endometrial carcinoma.

OBJECTIVE: To develop and validate a comprehensive overall survival (OS) risk-scoring model in women with endometrioid endometrial cancer (EC). METHODS: Patients with EC diagnosed from 2004 to 2013 were identified through the National Cancer Database (NCDB). Patients with known lymphovascular space invasion (LVSI) status who were treated surgically (with or without adjuvant therapy) were included. Cox proportional hazards analysis was used to identify prognostic factors for OS. This model was used to assign points based on hazard ratios for risk factors and a risk score was obtained. Recursive partitioning analysis (RPA) was used to categorize patients into risk groups. Results were internally validated in a cohort of patients from our institution (CCF cohort). Risk scores were calculated and assessed in a Cox regression model, and Harrell's c-index was calculated to assess model fit. RESULTS: Among 349,404 women with EEC during the study period, 42,107 fulfilled inclusion criteria. Factors associated with worse OS were age ≥ 60, African American race, Charlson-Deyo score 1 or 2+, higher grade, LVSI, tumor size ≥2 cm, and no lymphadenectomy performed. Six risk groups were identified (scores 0-30) and OS estimated for each risk group. Risk score per 1-point increase in HR were comparable between NCDB and CCF cohorts (HR 1.21 (1.20-1.22 p < 0.001 vs 1.18 (1.12-1.25), p < 0.001), and c-index 0.80 (0.79-0.81) vs. 0.77 (0.68-0.86). Similar analysis was done in stage IA and IB. Adjuvant therapy had a beneficial effect on survival in the majority of stage IB patients, but only one of the six risk groups in stage IA EC. CONCLUSIONS: We report a comprehensive validated OS risk-scoring model for patients with.

Diet and gut microbiome interactions in gynecologic cancer.

Over the last decade, there has been a dramatic surge in research exploring the human gut microbiome and its role in health and disease. It is now widely accepted that commensal microorganisms coexist within the human gastrointestinal tract and other organs, including those of the reproductive tract. These microorganisms, which are collectively known as the "microbiome", contribute to maintaining host physiology and to the development of pathology. Next generation sequencing and multi-'omics' technology has enriched our understanding of the complex and interdependent relationship that exists between the host and microbiome. Global changes in the microbiome are known to be influenced by dietary, genetic, lifestyle, and environmental factors. Accumulating data have shown that alterations in the gut microbiome contribute to the development, prognosis and treatment of many disease states including cancer primarily through interactions with the immune system. However, there are large gaps in knowledge regarding the association between the gut microbiome and gynecologic cancers, and research characterizing the reproductive tract microbiome is insufficient. Herein, we explore the mechanisms by which alterations in the gut and reproductive tract microbiome contribute to carcinogenesis focusing on obesity, hyperestrogenism, inflammation and altered tumor metabolism. The impact of the gut microbiome on response to anti-cancer therapy is highlighted with an emphasis on immune checkpoint inhibitor efficacy in gynecologic cancers. We discuss dietary interventions that are likely to modulate the metabolic and immunologic milieu as well as tumor microenvironment through the gut microbiome including intermittent fasting/ketogenic diet, high fiber diet, use of probiotics and the metabolic management of obesity. We conclude that enhanced understanding of the microbiome in gynecologic cancers coupled with thorough evaluation of metabolic and metagenomic analyses would enable us to integrate novel preventative strategies and adjunctive interventions into the care of women with gynecologic cancers.

Clinicopathologic characteristics and outcomes of endometrial Cancer patients with mismatch repair deficiency in the era of universal Lynch syndrome screening.

OBJECTIVE: To evaluate clinicopathologic characteristics and survival impact associated with mismatch repair (MMR) deficient subgroups of endometrial cancer (EC) in patients undergoing universal screening for Lynch Syndrome. METHODS: A retrospective cohort study using a prospectively maintained gynecologic oncology registry of patients who underwent surgery for EC was conducted. All pathology specimens underwent tumor testing using immunohistochemistry for MMR deficiency with reflex MLH1 promotor methylation testing. Tumors were classified as MMR-I (intact MMR expression), MMR-DM (MMR deficient due to MLH1 methylation), and MMR-DU (MMR deficient without MLH1 methylation). Univariate and multivariate analysis performed to determine factors associated with MMR-DM. Progression-free survival (PFS) and overall survival (OS) analyzed by stage and endometrioid subgroup. RESULTS: From 2012 to 2016, 1018 EC patients were identified and screened. Overall, 71.6% were classified as MMR-I, 23.8% MMR-DM, and 4.6% MMR-DU. In comparison to MMR-DU, MMR-DM tumors were associated with older age, postmenopausal status, lymphovascular space invasion, and pure endometrioid histology. Compared to MMR-I, MMR-DM tumors were associated with older age, endometrioid histology, lymphovascular space invasion, and higher grade on multivariable analysis. There was no difference in PFS and OS between the three groups overall. In patients with endometrioid EC, MMR-DM tumors were associated with lower PFS vs. MMR-I (HR:2.51, CI:1.54, 4.10, P < 0.001). This effect persisted for stage I/II endometrioid EC (HR 2.66, CI:1.34, 5.26 p = 0.005). No difference in PFS or OS was noted among stage III/IV endometrioid tumors. CONCLUSION: MMR deficiency is associated with adverse prognostic factors and worse PFS among endometrioid tumors, particularly in early stage EC. MMR testing outside of LS screening has prognostic value, warranting consideration for inclusion as a biomarker in prospective clinical trials.

Time to surgery and its impact on survival in patients with endometrial cancer: A National cancer database study.

OBJECTIVE: To determine patient and facility-specific factors associated with time to surgery (TTS) in patients with endometrial cancer (EC), and define the impact of delay in TTS >6 weeks on overall survival (OS) by tumor histology and stage. METHODS: The National Cancer Database (NCDB) was queried to identify patients with EC who underwent definitive primary surgical treatment between 2004 and 2013. Patients were stratified by EC histology into type I (endometrioid) and type II (non-endometrioid). TTS (number of days from diagnosis to definitive surgery) was calculated and trends in TTS during the study period were analyzed. Poisson regression was used to identify factors associated with TTS for patients with type I and type II EC, respectively. Cox regression was used to assess the impact of delay in TTS > 6 weeks on OS by tumor histology and stage. RESULTS: Out of 284,499 patients included in the study, 83% had type I EC and 17% had type II EC. Median (interquartile range; IQR) TTS for type I and II EC was 27 days (10-41) and 26 days (13-40), respectively. TTS increased over the study period in both groups. In Type I EC, delay in TTS was associated with worse OS in patients with early stage (I-II) EC only. In type II EC, delay in TTS had no significant impact on OS in stage I-III EC, while a paradoxical relationship between TTS > 6 weeks and improved OS was observed for stage IV EC. CONCLUSION: TTS increased over the study period. TTS >6 weeks was negatively associated with OS in early stage type I EC. Interventions to reduce TTS in specific stages and settings for EC are necessary given this impact on mortality.

Perioperative Management of Women Undergoing Risk-reducing Surgery for Hereditary Breast and Ovarian Cancer.

Carriers of genetic mutations that predispose to cancer syndromes are often faced with complex decisions. For women with hereditary breast and ovarian cancer in particular, the decision to undergo risk-reducing mastectomy or bilateral salpingo-oophorectomy is burdensome from a physical and psychological perspective. Although risk-reducing surgery is the most effective preventative measure in reducing a genetic mutation carrier's risk of breast or ovarian cancer, the success of these procedures requires a multidisciplinary approach that centers on careful counseling regarding the risks and benefits of risk-reducing surgery. The physical and psychological distress associated with risk-reducing surgery often makes a combined surgical approach attractive to some patients. In this review, we present the evidence surrounding the comprehensive surgical care of women with hereditary breast and ovarian cancer syndromes and evaluate the perioperative factors that influence surgical management.

Predicting non-home discharge in epithelial ovarian cancer patients: External validation of a predictive model.

OBJECTIVE: To externally validate a model predicting non-home discharge in women undergoing primary cytoreductive surgery (CRS) for epithelial ovarian cancer (EOC). METHODS: Women undergoing primary CRS via laparotomy for EOC at three tertiary medical centers in an academic health system from January 2010 to December 2015 were included. Patients were excluded if they received neoadjuvant chemotherapy, had a non-epithelial malignancy, were not undergoing primary cytoreduction, or lacked documented model components. Non-home discharge included skilled nursing facility, acute rehabilitation facility, hospice, or inpatient death. The predicted probability of non-home discharge was calculated using age, pre-operative CA-125, American Society of Anesthesiologists (ASA) score and Eastern Cooperative Oncology Group (ECOG) performance status as described in the previously published predictive model. Model discrimination was calculated using a concordance index and calibration curves were plotted to characterize model performance across the cohort. RESULTS: A total of 204 admissions met inclusion criteria. The overall rate of non-home discharge was 12% (95% CI 8-18%). Mean age was 60.8 years (SD 11.0). Median length of stay (LOS) was significantly longer for patients with non-home discharge (8 vs. 5 days, P < 0.001). The predictive model had a concordance index of 0.86 (95% CI 0.76-0.93), which was similar to model performance in the original study (CI 0.88). The model provided accurate predictions across all probabilities (0 to 100%). CONCLUSIONS: Non-home discharge can be accurately predicted using preoperative clinical variables. Use of this validated non-home discharge predictive model may facilitate preoperative patient counseling, early discharge planning, and potentially decrease cost of care.