Association of allostatic load with overall survival in epithelial ovarian cancer.

OBJECTIVE: Elevated allostatic load (AL), an integrated, cumulative marker of physiologic damage due to socioenvironmental stress, is associated with increased mortality in patients with breast, lung, and other cancers. The relationship between allostatic load and mortality in ovarian cancer patients remains unknown. We examined the relationship between allostatic load and overall survival in ovarian cancer patients. METHODS: This cross-sectional study used data from 201 patients enrolled in a prospective observational ovarian cancer cohort study at a National Cancer Institute-designated Comprehensive Cancer Center from October 2012 through June 2022. All patients underwent debulking surgery and completed a full course of standard-of-care platinum-based chemotherapy. Follow-up was completed through January 2024. Allostatic load was calculated as a summary score by assigning one point to the worst sample quartile for each of ten biomarkers measured within 45 days before the ovarian cancer diagnosis. High allostatic load was defined as having an allostatic load in the top quartile of the summary score. A Cox proportional hazard model with robust variance tested the association between allostatic load and overall survival. RESULTS: There were no associations between allostatic load and ovarian cancer clinical characteristics. After accounting for demographic, clinical, and treatment factors, high allostatic load was associated with a significant increase in mortality (hazard ratio 2.17 [95%CI, 1.13-4.15]; P = 0.02). CONCLUSION: Higher allostatic load is associated with worse survival among ovarian cancer patients. Allostatic load could help identify patients at risk for poorer outcomes who may benefit from greater socioenvironmental support during treatment.

Metformin and survival: Is there benefit in a cohort limited to diabetic women with endometrial, breast, or ovarian cancer?

OBJECTIVE: Evaluate the association between metformin and survival in women with Type 2 diabetes (T2DM) and breast, endometrial and ovarian cancer- 3 hormonally mediated cancers. METHODS: We evaluated outcomes in a cohort of 6225 women with T2DM with a new diagnosis of ovarian, breast or endometrial cancer from 2010 to 2019. We classified glycemic medications at time of first cancer diagnosis into 3 tiers in accordance with ADA guidelines. Approaches compared: (i) metformin (tier 1) vs. no glycemic medication, (ii) metformin vs tier 2 medications (sulfonylureas, thiazolidinediones, SGLT2-inhibitors, DPP4-inhibitors, alpha glucosidase-inhibitors, GLP-1 agonists), (iii) metformin vs tier 3 medications (insulins, amylinomimetics), and (iv) tier 2 vs tier 3 medications. Analyses included Cox proportional-hazards models, Kaplan-Meier curves, and conditional logistic regression in a risk set-sampled nested case-control matched on T2DM duration- all modeling survival. Models were adjusted for demographics, cancer type, A1C, T2DM duration, and number of office visits and hospitalizations. RESULTS: Metformin was the most used medication (n = 3232) and consistently demonstrated survival benefit compared with tier 2 and 3 medications, across all methods. Tier 3-users demonstrated highest risk of death when compared to metformin rather than tier 2 [adjHR = 1.83 (95% CI: 1.58, 2.13) vs. adjHR = 1.32 (95% CI: 1.11, 1.57)], despite similar baseline profiles between tier 1 and 2 users. CONCLUSIONS: Metformin users experienced increased survival even after accounting for surrogates of diabetes progression. Benefit extended beyond that seen in tier 2-users. Our findings, consistent with prior studies, indicate metformin use improves survival in women with T2DM and hormonally mediated women's cancers.

Gestational weight gain and risk of epithelial ovarian cancer.

OBJECTIVE: To examine the association between (GWG) and epithelial ovarian cancer (EOC). METHODS: We compared GWG between 670 incident EOC cases and 1,551 community controls from a population-based, case-control study conducted in Pennsylvania, Ohio, and New York from 2003 to 2008. Multivariable unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) associated with GWG adjusting for potential confounders. To explore the potential effect of maternal long-term weight retention after childbearing, we restricted analyses to women who began their childbearing years as normal/underweight and examined differences in EOC risk between those who were normal/underweight versus those who were overweight/obese at study baseline reference date. RESULTS: Average GWG per full-term pregnancy did not differ between cases and controls. Among women who were normal/underweight at study baseline, greater average GWG was not associated with EOC (OR = 0.9, 0.8, 0.7 for quartiles 2, 3 and 4 of GWG gain, respectively, compared to quartile 1). In contrast, among women who were overweight/obese at study baseline, greater average GWG was positively associated with EOC (OR = 1.4, 1.8, 1.2, for quartiles 2, 3, and 4 compared to quartile 1; interaction p = 0.04). CONCLUSION: We posit that maternal post-partum weight retention and not gestational weight gain itself among normal/underweight women may impact subsequent risk of EOC. If our hypothesis is supported in other studies designed to assess this question directly, then counseling women on the importance of healthy weight management after a pregnancy could provide another means to help women reduce their risk of this often-fatal malignancy.

Impact of Ki-67 Labeling Index on Prognostic Significance of the Chemotherapy Response Score in Women With Tubo-ovarian Cancer Treated With Neoadjuvant Chemotherapy.

The chemotherapy response score (CRS) proposed by Bohm and colleagues in 2015 has been validated as a reproducible method for determining histopathologic response of tubo-ovarian carcinoma to neoadjuvant chemotherapy and stratifies tumor response into 3 groups: CRS1 is defined as minimal/no response, CRS2 as moderate response, and CRS3 as marked response. Although described as a 3-tiered system, it essentially works as a 2-tiered system (CRS1/CRS2 vs. CRS3) for assessing prognosis. Here, we analyzed the prognostic value of CRS in a large cohort of tubo-ovarian carcinomas at a tertiary care center and evaluated the potential for Ki-67 labeling index on post-neoadjuvant chemotherapy samples to provide additional prognostic information. We included 170 patients with tubo-ovarian carcinoma treated with neoadjuvant chemotherapy followed by interval debulking surgery. We determined CRS for each case by reviewing slides from the interval debulking surgery resection specimen and calculated progression-free survival and overall survival. For each case with residual disease (CRS1 and CRS2, n=123, 72%), we also performed Ki-67 antibody staining and determined both average and highest Ki-67 labeling index. Consistent with prior studies, patients in our cohort with CRS1 and CRS2 showed significantly shorter progression-free survival and overall survival compared with CRS3. Further, in the subset of cases with CRS1 and CRS2, Ki-67 labeling index was predictive of OS at multiple cutoff points. An average Ki-67 labeling index of 20% (log rank test P-value: 0.0004) or a highest Ki-67 labeling index of 50% (log rank test P-value: 0.0002) could provide a practically useful cutoff. Multivariable cox proportional hazard model showed worse overall survival with both, average Ki-67 >20% (hazard ratios: 2.02, P-value: 0.00422, confidence interval: 1.25-3.28) and highest Ki-67 >50% (hazard ratios: 1.88, P-value: 0.0205, confidence interval: 1.1-3.2). We propose adding Ki-67 labeling index to CRS to provide additional prognostic separation between patients with CRS1 and CRS2.

Phase II study of everolimus and bevacizumab in recurrent ovarian, peritoneal, and fallopian tube cancer.

BACKGROUND: Recurrent ovarian, fallopian tube, and peritoneal cancers have limited potential for cure with traditional therapies. Preliminary results from a phase I study of everolimus and bevacizumab in advanced solid tumors showed it to be a promising combination. The primary objective of this study was to evaluate the 6-month progression-free survival for everolimus and bevacizumab in recurrent ovarian, peritoneal, and fallopian tube cancer. Secondary objectives included evaluation of efficacy and safety. METHODS: In this open-label, single-institution, phase II trial, patients received everolimus 10 mg/day by mouth and bevacizumab 10 mg/kg intravenously every 14 days on a 28-day cycle. Treatment continued until disease progression or adverse event. RESULTS: Fifty patients were enrolled. Median age was 60.5 years (range 28-82). Forty-six (92%) subjects had measurable disease. Thirteen (26%) (24% adjusted) were progression-free at 6 months (95% CI 16.67-42.71%). One patient had a complete response, while six had a partial response and 35 had stable disease as their best response. Patients with both platinum-sensitive and -resistant disease demonstrated responses, as did some prior bevacizumab exposure. There were two grade 4 and 31 grade 3 toxicities noted in 25 distinct patients. The most common reported toxicities included oral mucositis, fatigue, diarrhea, hypertension, pain, nausea and anorexia. Thirty-eight (76%) patients came off study because of disease progression. Unique molecular profiles were identified in long-term responders. CONCLUSIONS: Combining everolimus and bevacizumab does not distinctly improve response compared to bevacizumab alone, but further study of selected patients with alterations in the PI3K/mTOR pathway may document benefit.

Critical questions in ovarian cancer research and treatment: Report of an American Association for Cancer Research Special Conference.

Substantial progress has been made in understanding ovarian cancer at the molecular and cellular level. Significant improvement in 5-year survival has been achieved through cytoreductive surgery, combination platinum-based chemotherapy, and more effective treatment of recurrent cancer, and there are now more than 280,000 ovarian cancer survivors in the United States. Despite these advances, long-term survival in late-stage disease has improved little over the last 4 decades. Poor outcomes relate, in part, to late stage at initial diagnosis, intrinsic drug resistance, and the persistence of dormant drug-resistant cancer cells after primary surgery and chemotherapy. Our ability to accelerate progress in the clinic will depend on the ability to answer several critical questions regarding this disease. To assess current answers, an American Association for Cancer Research Special Conference on "Critical Questions in Ovarian Cancer Research and Treatment" was held in Pittsburgh, Pennsylvania, on October 1-3, 2017. Although clinical, translational, and basic investigators conducted much of the discussion, advocates participated in the meeting, and many presentations were directly relevant to patient care, including treatment with poly adenosine diphosphate ribose polymerase (PARP) inhibitors, attempts to improve immunotherapy by overcoming the immune suppressive effects of the microenvironment, and a better understanding of the heterogeneity of the disease.

A combination of the immunohistochemical markers CK7 and SATB2 is highly sensitive and specific for distinguishing primary ovarian mucinous tumors from colorectal and appendiceal metastases.

Primary ovarian mucinous tumors can be difficult to distinguish from metastatic gastrointestinal neoplasms by histology alone. The expected immunoprofile of a suspected metastatic lower gastrointestinal tumor is CK7-/CK20+/CDX2+/PAX8-. This study assesses the addition of a novel marker SATB2, to improve the diagnostic algorithm. A test cohort included 155 ovarian mucinous tumors (105 carcinomas and 50 borderline tumors) and 230 primary lower gastrointestinal neoplasms (123 colorectal adenocarcinomas and 107 appendiceal neoplasms). All cases were assessed for SATB2, PAX8 CK7, CK20, and CDX2 expression on tissue microarrays. Expression was scored in a 3-tier system as absent, focal (1-50% of tumor cells) and diffuse ( >50% of tumor cells) and then categorized into either absent/present or nondiffuse/diffuse. SATB2 and PAX8 expression was further evaluated in ovarian tumors from an international cohort of 2876 patients (expansion cohort, including 159 mucinous carcinomas and 46 borderline mucinous tumors). The highest accuracy of an individual marker in distinguishing lower gastrointestinal from ovarian mucinous tumors was CK7 (91.7%, nondiffuse/diffuse cut-off) followed by SATB2 (88.8%, present/absent cut-off). The most effective combination was CK7 and SATB2 with accuracy of 95.3% using the 3-tier interpretation, absent/focal/diffuse. This combination outperformed the standard clinical set of CK7, CK20 and CDX2 (87.5%). Re-evaluation of outlier cases confirmed ovarian origin for all but one case. The accuracy of SATB2 was confirmed in the expansion cohort (91.5%). SATB2 expression was also detected in 15% of ovarian endometrioid carcinoma but less than 5% of other ovarian histotypes. A simple two marker combination of CK7 and SATB2 can distinguish lower gastrointestinal from ovarian primary mucinous tumors with greater than 95% accuracy. PAX8 and CDX2 have value as second-line markers. The utility of CK20 in this setting is low and this warrants replacement of this marker with SATB2 in clinical practice.

Breastfeeding factors and risk of epithelial ovarian cancer.

OBJECTIVE: Previous studies suggest that breastfeeding reduces epithelial ovarian cancer (EOC) risk. However, the effects of age, timing and episode details on the EOC-breastfeeding relationship have not been examined. The objective of this study was to examine the association between breastfeeding factors and epithelial ovarian cancer. METHODS: We examined breastfeeding factors among parous women in a population-based, case-control study conducted in Pennsylvania, Ohio, and New York from 2003 to 2008. We compared 689 incident EOC cases to 1572 community controls. Multivariable unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) associated with breastfeeding patterns adjusting for potential confounders. RESULTS: Compared to never breastfeeding, breastfeeding any offspring was associated with a 30% reduction in EOC risk (OR = 0.70; 95%CI = 0.58-0.85). That association lasted more than 30 years (OR = 0.69, 95%CI = 0.53-0.88). An average breastfeeding episode of 3 months was also associated with reduced risk (OR = 0.73, 95%CI = 0.58-0.80). A greater number of breastfeeding episodes was associated with greater risk reduction (OR = 0.78, 95%CI = 0.64-0.96 and OR = 0.49, 95%CI = 0.36-0.68 1-2 and 3+ episodes, respectively, compared to never breastfed, trend p = 0.01). Longer breastfeeding duration was also associated with reduced risk (OR = 0.75 and 0.62 for less than and greater than 1-year total duration, respectively, compared to never breastfed). An earlier age at first breastfeeding was further associated with increased protection (OR = 0.50-0.80, for first episode at age <25, 25-29, and 30+, respectively, trend p = 0.001). CONCLUSIONS: Breastfeeding for as few as 3 months is associated with reduced EOC risk. Although this association decreases over time, it persists for more than 30 years. Longer cumulative duration, increasing number of breastfeeding episodes, and earlier age at first breastfeeding episode are each associated with increased benefit.

Phase I study of intravenous oxaliplatin and intraperitoneal docetaxel in recurrent ovarian cancer.

INTRODUCTION: Intraperitoneal (IP) chemotherapy improves survival in ovarian cancer but its use has been limited by toxicity with cisplatin-based regimens. The primary objective of this study was to define the maximum tolerated dose and dose-limiting toxicity of intravenous (IV) oxaliplatin and IP docetaxel in women with recurrent ovarian, fallopian tube or peritoneal cancer. Secondary objectives were response rate, time to progression, symptom interference with quality of life, and pharmacokinetics. METHODS: Patients received a constant dose of oxaliplatin 75 mg/m2 IV on day 1 and docetaxel escalating from 50 mg/m2 IP on day 2 every 3 weeks using a 3 + 3 design. Treatment continued until disease progression, remission, or intolerable toxicity occurred. Plasma and IP samples were taken to determine drug concentrations. Patients completed the MD Anderson Symptom Inventory weekly. RESULTS: Twelve patients were included. The median number of cycles was 4 (range 2-6) with a median time to progression of 4.5 months. Among eight patients with measurable disease, the best responses were partial response in two patients, stable disease in five, and progressive disease in one. A total of 14 grade 3-4 toxicities were noted, most commonly hematologic. Four patients, all dose level 3, had six dose-limiting toxicities: two with prolonged neutropenia, one with infection, one with hyponatremia, and two with abdominal pain. Dose level 3 was therefore considered intolerable. The mean±SD ratio of docetaxel area under the curve (AUC) in IP fluid to AUC in plasma was 229±111. Symptom interference with life activities steadily decreased from cycle 1 to 5. CONCLUSIONS: Oxaliplatin 75 mg/m2 IV on day 1 and docetaxel 75 mg/m2 IP on day 2 was the maximum tolerated dose. Most patients had partial response or stable disease, even in a heavily pre-treated population. At this dose level, patient-reported outcomes demonstrate temporary but tolerable decrements in quality of life.

Exome genotyping arrays to identify rare and low frequency variants associated with epithelial ovarian cancer risk.

Rare and low frequency variants are not well covered in most germline genotyping arrays and are understudied in relation to epithelial ovarian cancer (EOC) risk. To address this gap, we used genotyping arrays targeting rarer protein-coding variation in 8,165 EOC cases and 11,619 controls from the international Ovarian Cancer Association Consortium (OCAC). Pooled association analyses were conducted at the variant and gene level for 98,543 variants directly genotyped through two exome genotyping projects. Only common variants that represent or are in strong linkage disequilibrium (LD) with previously-identified signals at established loci reached traditional thresholds for exome-wide significance (P < 5.0 × 10 - 7). One of the most significant signals (Pall histologies = 1.01 × 10 - 13;Pserous = 3.54 × 10 - 14) occurred at 3q25.31 for rs62273959, a missense variant mapping to the LEKR1 gene that is in LD (r2 = 0.90) with a previously identified 'best hit' (rs7651446) mapping to an intron of TIPARP. Suggestive associations (5.0 × 10 - 5 > P≥5.0 ×10 - 7) were detected for rare and low-frequency variants at 16 novel loci. Four rare missense variants were identified (ACTBL2 rs73757391 (5q11.2), BTD rs200337373 (3p25.1), KRT13 rs150321809 (17q21.2) and MC2R rs104894658 (18p11.21)), but only MC2R rs104894668 had a large effect size (OR = 9.66). Genes most strongly associated with EOC risk included ACTBL2 (PAML = 3.23 × 10 - 5; PSKAT-o = 9.23 × 10 - 4) and KRT13 (PAML = 1.67 × 10 - 4; PSKAT-o = 1.07 × 10 - 5), reaffirming variant-level analysis. In summary, this large study identified several rare and low-frequency variants and genes that may contribute to EOC susceptibility, albeit with possible small effects. Future studies that integrate epidemiology, sequencing, and functional assays are needed to further unravel the unexplained heritability and biology of this disease.

Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study.

BACKGROUND: Observational studies suggest greater height is associated with increased ovarian cancer risk, but cannot exclude bias and/or confounding as explanations for this. Mendelian randomisation (MR) can provide evidence which may be less prone to bias. METHODS: We pooled data from 39 Ovarian Cancer Association Consortium studies (16,395 cases; 23,003 controls). We applied two-stage predictor-substitution MR, using a weighted genetic risk score combining 609 single-nucleotide polymorphisms. Study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted height and risk were pooled using random-effects meta-analysis. RESULTS: Greater genetically predicted height was associated with increased ovarian cancer risk overall (pooled-OR (pOR) = 1.06; 95% CI: 1.01-1.11 per 5 cm increase in height), and separately for invasive (pOR = 1.06; 95% CI: 1.01-1.11) and borderline (pOR = 1.15; 95% CI: 1.02-1.29) tumours. CONCLUSIONS: Women with a genetic propensity to being taller have increased risk of ovarian cancer. This suggests genes influencing height are involved in pathways promoting ovarian carcinogenesis.

Anthropometric characteristics and ovarian cancer risk and survival.

PURPOSE: Multiple studies have examined the role of anthropometric characteristics in ovarian cancer risk and survival; however, their results have been conflicting. We investigated the associations between weight change, height and height change and risk and outcome of ovarian cancer using data from a large population-based case-control study. METHODS: Data from 699 ovarian cancer cases and 1,802 controls who participated in the HOPE study were included. We used unconditional logistic regression adjusted for age, race, number of pregnancies, use of oral contraceptives, and family history of breast or ovarian cancer to examine the associations between self-reported height and weight and height change with ovarian cancer risk. Cox proportional hazards regression models adjusted for age and stage were used to examine the association between the exposure variables and overall and progression-free survival among ovarian cancer cases. RESULTS: We observed an increased risk of ovarian cancer mortality and progression for gaining more than 20 pounds between ages 18-30, HR 1.36; 95% CI 1.05-1.76, and HR 1.31; 95% CI 1.04-1.66, respectively. Losing weight and gaining it back multiple times was inversely associated with both ovarian cancer risk, OR 0.78; 95% CI 0.63-0.97 for 1-4 times and OR 0.73; 95% CI 0.54-0.99 for 5-9 times, and mortality, HR 0.63; 95% CI 0.40-0.99 for 10-14 times. Finally, being taller during adolescence and adulthood was associated with increased risk of mortality. Taller stature and weight gain over lifetime were not related to ovarian cancer risk. CONCLUSIONS: Our results suggest that height and weight and their change over time may influence ovarian cancer risk and survival. These findings suggest that biological mechanisms underlying these associations may be hormone driven and may play an important role in relation to ovarian carcinogenesis and tumor progression.

Cost-effectiveness analysis of biopsy strategies for endometrial cancer diagnosis in women with postmenopausal bleeding: Pipelle sampling curette versus dilatation & curettage.

BACKGROUND: Endometrial sampling is widely used for accurate diagnosis of endometrial cancer (EC), which is the most common gynecologic cancer in US women. The objective of this study was to explore the cost-effectiveness of two endometrial sampling procedures for diagnosing EC: (1) Pipelle endometrial sampling (Pipelle), and (2) dilatation & curettage (D&C), while accounting for sampling procedure failure rates and diagnostic accuracy in women with postmenopausal bleeding (PMB). METHOD: The decision analytic model was built to compare the cost-effectiveness of Pipelle and D&C strategies in a hypothetical cohort of PMB women. The analysis was performed from the perspective of a public healthcare payer (Medicare, US). We used 2017 Medicare reimbursement data for cost estimation. The effectiveness of these two diagnostic strategies was measured by analyzing the remaining life expectancy after EC diagnosis and subsequent treatment. RESULTS: The base case analysis suggested that Pipelle was not only equally effective (32.11 vs. 32.11 years of life), but also less costly ($1897.80 vs. $2999.11) based on Medicare reimbursement when compared to D&C. In one-way sensitivity analyses and Monte Carlo probabilistic sensitivity analysis, the Pipelle remained the more cost-effective sampling strategy even after accounting for sampling failure rate associated with each sampling strategy. CONCLUSION: The Pipelle is the more cost-effective sampling strategy compared to D&C for EC diagnosis in women with PMB. From the cost-effectiveness perspective, the higher sampling failure rate of Pipelle should not be regarded as a limitation in its clinical application.

Unplanned postoperative intensive care unit admission for ovarian cancer cytoreduction is associated with significant decrease in overall survival.

OBJECTIVES: Previous studies have identified age, nutritional status, and hematocrit as risk factors for unplanned ICU admission in gynecologic oncology patients. We sought to identify additional perioperative factors that can be predictive of unplanned ICU admission and its impact on outcomes in women with ovarian cancer undergoing ovarian cancer cytoreductive procedures. METHODS: This was a case-control study of patients with unplanned ICU admission after primary surgery for ovarian cancer from January 2007 to December 2013. Controls were selected in a 2:1 ratio matching for primary surgeon and date of surgery. Clinical data was abstracted and compared between cases and controls using conditional logistic regression. RESULTS: The dataset consisted of 324 patients (108 ICU admissions, 216 controls). On multivariable analysis, failure to optimally cytoreduce (p = 0.001, OR 3.76) and higher EBL (p < 0.001, OR 1.20 per 100 cm3) remained significant predictors of unplanned ICU admission. On multivariable analysis of outcomes, ICU admission was independently associated with increased length of stay (12 days vs. 6 days, p < 0.001), increased number of postop complications (2 vs. 0, p < 0.001), and increased risk of readmission within 30 days (p = 0.041, OR 2.46). Even controlling for debulking status, ICU admission remained associated with a worse median OS (27.3 vs 57.9 months, p < 0.001). CONCLUSIONS: ICU admission for women undergoing cytoreductive surgery for ovarian cancer is associated with a significant decrease in OS and increase in number of postoperative complications. For this inherently high-risk population, this information is critical when counseling patients about peri-operative risks in primary cytoreductive surgery.

Image-based multichannel vaginal cylinder brachytherapy for the definitive treatment of gynecologic malignancies in the vagina.

PURPOSE: Brachytherapy is integral to vaginal cancer treatment and is typically delivered using an intracavitary single-channel vaginal cylinder (SCVC) or an interstitial brachytherapy (ISBT) applicator. Multi-channel vaginal cylinder (MCVC) applicators allow for improved organ-at-risk (OAR) sparing compared to SCVC while maintaining target coverage. We present clinical outcomes of patients treated with image-based high dose-rate (HDR) brachytherapy using a MCVC. METHODS AND MATERIALS: Sixty patients with vaginal cancer (27% primary vaginal and 73% recurrence from other primaries) were treated with combination external beam radiotherapy (EBRT) and image-based HDR brachytherapy utilizing a MCVC if residual disease thickness was 7 mm or less after EBRT. All pts received 3D image-based BT to a total equivalent dose of 70-80 Gy. RESULTS: The median high-risk clinical target volume was 24.4 cm3 (interquartile range [IQR], 14.1), with a median dose to 90% of 77.2 Gy (IQR, 2.8). After a median follow-up of 45 months (range, 11-78), the 4-year local-regional control, distant control, DFS, and OS rates were 92.6%, 76.1%, 64.0%, and 67.2%, respectively. The 4-year LRC rates were similar between the primary vaginal (92%) and recurrent (93%) groups (p = 0.290). Pts with lymph node positive disease had a lower rate of distant control at 4 years (22.7% vs. 89.0%, p < 0.001). There were no Grade 3 or higher acute complications. The 4-year rate of late Grade 3 or higher toxicity was 2.7%. CONCLUSIONS: Clinical outcomes of pts with primary and recurrent vaginal cancer treated definitively in a systematic manner with combination EBRT with image-guided HDR BT utilizing a MCVC applicator demonstrate high rates of local control and low rates of severe morbidity. The MCVC technique allows interstitial implantation to be avoided in select pts with ≤7 mm residual disease thickness following EBRT while maintaining excellent clinical outcomes with extended 4-year follow-up in this rare malignancy.

rs495139 in the TYMS-ENOSF1 Region and Risk of Ovarian Carcinoma of Mucinous Histology.

Thymidylate synthase (TYMS) is a crucial enzyme for DNA synthesis. TYMS expression is regulated by its antisense mRNA, ENOSF1. Disrupted regulation may promote uncontrolled DNA synthesis and tumor growth. We sought to replicate our previously reported association between rs495139 in the TYMS-ENOSF1 3' gene region and increased risk of mucinous ovarian carcinoma (MOC) in an independent sample. Genotypes from 24,351 controls to 15,000 women with invasive OC, including 665 MOC, were available. We estimated per-allele odds ratios (OR) and 95% confidence intervals (CI) using unconditional logistic regression, and meta-analysis when combining these data with our previous report. The association between rs495139 and MOC was not significant in the independent sample (OR = 1.09; 95% CI = 0.97⁻1.22; p = 0.15; N = 665 cases). Meta-analysis suggested a weak association (OR = 1.13; 95% CI = 1.03⁻1.24; p = 0.01; N = 1019 cases). No significant association with risk of other OC histologic types was observed (p = 0.05 for tumor heterogeneity). In expression quantitative trait locus (eQTL) analysis, the rs495139 allele was positively associated with ENOSF1 mRNA expression in normal tissues of the gastrointestinal system, particularly esophageal mucosa (r = 0.51, p = 1.7 × 10-28), and nonsignificantly in five MOC tumors. The association results, along with inconclusive tumor eQTL findings, suggest that a true effect of rs495139 might be small.

Pelvic Inflammatory Disease and the Risk of Ovarian Cancer and Borderline Ovarian Tumors: A Pooled Analysis of 13 Case-Control Studies.

Inflammation has been implicated in ovarian carcinogenesis. However, studies investigating the association between pelvic inflammatory disease (PID) and ovarian cancer risk are few and inconsistent. We investigated the association between PID and the risk of epithelial ovarian cancer according to tumor behavior and histotype. We pooled data from 13 case-control studies, conducted between 1989 and 2009, from the Ovarian Cancer Association Consortium (OCAC), including 9,162 women with ovarian cancers, 2,354 women with borderline tumors, and 14,736 control participants. Study-specific odds ratios were estimated and subsequently combined into a pooled odds ratio using a random-effects model. A history of PID was associated with an increased risk of borderline tumors (pooled odds ratio (pOR) = 1.32, 95% confidence interval (CI): 1.10, 1.58). Women with at least 2 episodes of PID had a 2-fold increased risk of borderline tumors (pOR = 2.14, 95% CI: 1.08, 4.24). No association was observed between PID and ovarian cancer risk overall (pOR = 0.99, 95% CI: 0.83, 1.19); however, a statistically nonsignificantly increased risk of low-grade serous tumors (pOR = 1.48, 95% CI: 0.92, 2.38) was noted. In conclusion, PID was associated with an increased risk of borderline ovarian tumors, particularly among women who had had multiple episodes of PID. Although our results indicated a histotype-specific association with PID, the association of PID with ovarian cancer risk is still somewhat uncertain and requires further investigation.

Shared genetics underlying epidemiological association between endometriosis and ovarian cancer.

Epidemiological studies have demonstrated associations between endometriosis and certain histotypes of ovarian cancer, including clear cell, low-grade serous and endometrioid carcinomas. We aimed to determine whether the observed associations might be due to shared genetic aetiology. To address this, we used two endometriosis datasets genotyped on common arrays with full-genome coverage (3194 cases and 7060 controls) and a large ovarian cancer dataset genotyped on the customized Illumina Infinium iSelect (iCOGS) arrays (10 065 cases and 21 663 controls). Previous work has suggested that a large number of genetic variants contribute to endometriosis and ovarian cancer (all histotypes combined) susceptibility. Here, using the iCOGS data, we confirmed polygenic architecture for most histotypes of ovarian cancer. This led us to evaluate if the polygenic effects are shared across diseases. We found evidence for shared genetic risks between endometriosis and all histotypes of ovarian cancer, except for the intestinal mucinous type. Clear cell carcinoma showed the strongest genetic correlation with endometriosis (0.51, 95% CI = 0.18-0.84). Endometrioid and low-grade serous carcinomas had similar correlation coefficients (0.48, 95% CI = 0.07-0.89 and 0.40, 95% CI = 0.05-0.75, respectively). High-grade serous carcinoma, which often arises from the fallopian tubes, showed a weaker genetic correlation with endometriosis (0.25, 95% CI = 0.11-0.39), despite the absence of a known epidemiological association. These results suggest that the epidemiological association between endometriosis and ovarian adenocarcinoma may be attributable to shared genetic susceptibility loci.

Use of common analgesic medications and ovarian cancer survival: results from a pooled analysis in the Ovarian Cancer Association Consortium.

BACKGROUND: Nonsteroidal anti-inflammatory drugs (NSAIDs) have been associated with improved survival in some cancers, but evidence for ovarian cancer is limited. METHODS: Pooling individual-level data from 12 Ovarian Cancer Association Consortium studies, we evaluated the association between self-reported, pre-diagnosis use of common analgesics and overall/progression-free/disease-specific survival among 7694 women with invasive epithelial ovarian cancer (4273 deaths). RESULTS: Regular analgesic use (at least once per week) was not associated with overall survival (pooled hazard ratios, pHRs (95% confidence intervals): aspirin 0.96 (0.88-1.04); non-aspirin NSAIDs 0.97 (0.89-1.05); acetaminophen 1.01 (0.93-1.10)), nor with progression-free/disease-specific survival. There was however a survival advantage for users of any NSAIDs in studies clearly defining non-use as less than once per week (pHR=0.89 (0.82-0.98)). CONCLUSIONS: Although this study did not show a clear association between analgesic use and ovarian cancer survival, further investigation with clearer definitions of use and information about post-diagnosis use is warranted.

Patient and provider factors associated with endometrial Pipelle sampling failure.

OBJECTIVE: To explore risk factors associated with sampling failure in women who underwent Pipelle biopsy. METHODS: A consecutive sample of 201 patient records was selected from women who underwent Pipelle biopsy procedures for suspected uterine pathology in a large healthcare system over a 6-month period (January 2013 through June 2013). Personal and medical data including age, BMI, gravidity and parity, and previous history of Pipelle biopsy were abstracted from medical records for each patient. Logistic regression analyses were used to determine factors associated with biopsy sampling failure. RESULTS: Pipelle biopsy sampling failed in 46 out 201 women (22.89%), where 8 (17.39%) were due to inability to access the endometrium, 37 (80.43%) were inadequate samples, and 1 (2.18%) was due to unknown reasons. Personal and medical factors found to be related to sampling failure included: postmenopausal bleeding as biopsy indication (OR 7.41, 95% CI 2.27-24.14); history of prior biopsy failure (OR 23.87, 95% CI 3.76-151.61); and provider type (physician vs. midlevel provider) (OR 9.152, 95% CI 2.49-33.69). CONCLUSION: We identified several risk factors for biopsy failure that suggest the need for particular care with Pipelle sampling procedures among women with certain characteristics, including postmenopausal bleeding and a history of prior failed Pipelle biopsy. Our finding of a significantly higher risk of sampling failure based on personal and clinical data suggests that providers must take into account additional considerations to improve sampling success.