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High-grade serous ovarian carcinoma (HGSC) is the most common and lethal subtype of gynecologic malignancy in women. The current standard of treatment combines cytoreductive surgery and chemotherapy. Despite the efficacy of initial treatment, most patients develop cancer recurrence, and 70% of patients die within 5 years of initial diagnosis. CA125 is the current FDA-approved biomarker used in the clinic to monitor response to treatment and recurrence, but its impact on patient survival is limited. New strategies for the discovery of HGSC biomarkers are urgently needed. Here, we describe a proteomics strategy to detect tumor-associated proteins in serum of HGSC patient-derived xenograft models. We demonstrate proof-of-concept applicability using two independent, longitudinal serum cohorts from HGSC patients., (Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: Advanced high-grade serous ovarian carcinoma (HGSC) is commonly treated with surgery and chemotherapy. We investigated the survival of patients treated with primary or interval surgery at different times following neoadjuvant chemotherapy. Their survival was compared with that of patients treated with primary cytoreductive surgery and adjuvant chemotherapy., Methods: Patients with stage III or IV HGSC were included in this retrospective cohort study. Clinical data were obtained from patient records. Patients were divided into 2 groups based on treatment with neoadjuvant chemotherapy and interval cytoreductive surgery (NAC) or with primary cytoreductive surgery and adjuvant chemotherapy (PCS). Study groups were stratified by several clinical variables., Results: We included 334 patients in our study: 156 in the NAC and 178 in the PCS groups. Survival of patients in the NAC group was independent of when they underwent interval cytoreductive surgery following initiation of neoadjuvant chemotherapy (p < 0.001). Optimal surgical cytoreduction had no impact on overall survival in the NAC group (p < 0.001). Optimal cytoreduction (p < 0.001) and platinum sensitivity (p < 0.001) were independent predictors of improved survival in the PCS but not in the NAC group. Patients in the NAC group had significantly worse overall survival than those in the PCS group (31.6 v. 61.3 mo, p < 0.001)., Conclusion: Women with advanced HGSC who underwent PCS had better survival than those who underwent interval NAC, regardless of the number of cycles of neoadjuvant therapy. Optimal cytoreduction did not provide a survival advantage in the NAC group.

Purpose: The purpose of the study was to determine the performance of a 64-row multidetector computed tomography (MDCT) in identifying peritoneal metastases in ovarian cancer patients undergoing surgical staging or cytoreduction., Methods: This retrospective study included 76 patients who underwent surgical staging (n = 11) or cytoreduction (n = 65). Patients had MDCT before surgery (mean, 24 [SD, 16.9] days) as well as correlative surgicopathologic data. For the imaging analysis, the peritoneal cavity was divided to 28 segments, which were assessed for absence or presence of disease. Rate of optimal cytoreduction at the time of surgery was recorded. The standard of reference for this study was surgery, unless there was proof of metastasis as assessed by follow-up imaging. Sensitivity and predictive accuracy of CT and surgery compared with the standard of reference were calculated., Results: The overall sensitivity and accuracy were 81.2% and 94.3% for MDCT and 87.4% and 97.2% for surgery (P = 0.14, P = 0.007), respectively. There was no difference in the detection of lesions 1 cm or greater between MDCT and surgery (89.3% and 84.9%, respectively; P = 0.31); however, MDCT was less sensitive than surgery in detecting disease sites of less than 1 cm (65.5% and 92.3%, respectively; P = 0.001). For the subgroup of patients undergoing cytoreduction after neoadjuvant chemotherapy (NAC) (n = 30), sensitivities for MDCT and surgery were similar (80% and 76.9%, respectively [P = 0.71]). Although sensitivity of CT was not altered by NAC (P = 0.92), there was a significant decrease in sensitivity of surgical assessment after NAC (94% vs 76.9%; P = 0.003)., Conclusions: Multidetector computed tomography (MDCT) has similar sensitivity as surgery for peritoneal metastases of 1 cm or greater. The maintained sensitivity of MDCT in detecting peritoneal disease after NAC, which is underestimated at surgery, may help surgical planning and may improve optimal cytoreduction rate in this group of patients.

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

BackgroundAccumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers.MethodsUsing LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data.ResultsGenetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10-5). We found seven loci associated with risk for both cancers (P Bonferroni < 2.4 × 10-9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10-7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation.ConclusionsUsing cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis.ImpactOur research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.

An association between genetic variants in the vitamin D receptor (VDR) gene and epithelial ovarian cancer (EOC) was previously reported in women of African ancestry (AA). We sought to examine associations between genetic variants in VDR and additional genes from vitamin D biosynthesis and pathway targets (EGFR, UGT1A, UGT2A1/2, UGT2B, CYP3A4/5, CYP2R1, CYP27B1, CYP24A1, CYP11A1, and GC). Genotyping was performed using the custom-designed 533,631 SNP Illumina OncoArray with imputation to the 1,000 Genomes Phase 3 v5 reference set in 755 EOC cases, including 537 high-grade serous (HGSOC), and 1,235 controls. All subjects are of African ancestry (AA). Logistic regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI). We further evaluated statistical significance of selected SNPs using the Bayesian False Discovery Probability (BFDP). A significant association with EOC was identified in the UGT2A1/2 region for the SNP rs10017134 (per allele OR = 1.4, 95% CI = 1.2-1.7, P = 1.2 × 10-6 , BFDP = 0.02); and an association with HGSOC was identified in the EGFR region for the SNP rs114972508 (per allele OR = 2.3, 95% CI = 1.6-3.4, P = 1.6 × 10-5 , BFDP = 0.29) and in the UGT2A1/2 region again for rs1017134 (per allele OR = 1.4, 95% CI = 1.2-1.7, P = 2.3 × 10-5 , BFDP = 0.23). Genetic variants in the EGFR and UGT2A1/2 may increase susceptibility of EOC in AA women. Future studies to validate these findings are warranted. Alterations in EGFR and UGT2A1/2 could perturb enzyme efficacy, proliferation in ovaries, impact and mark susceptibility to EOC.

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

Supplemental digital content is available in the text. Objectives: Women with uterine clear cell carcinoma (UCCC) are at high risk of relapse. Adjuvant chemotherapy (CT) is often recommended, although its effectiveness remains controversial. Our objective was to evaluate treatment-related outcomes of patients with UCCC, particularly those treated with adjuvant CT. Methods: In this retrospective cohort study, patients diagnosed with UCCC at 2 academic cancer centers from 2000 to 2014 were included. Clinical, surgical, and pathological data were collected. Survival estimates were obtained using the Kaplan-Meier method and compared by log rank test. Multivariable analysis was used to determine the effect of CT and radiation therapy (RT) on overall survival (OS) and progression-free survival (PFS). Results: We included 146 patients with UCCC, with a median follow-up of 27 months (range, 1–160). Ninety-five (65%) patients presented with stage I to II disease and 51 (35%) with stage III to IV disease. Forty-six percent of patients with clinical stage I were upstaged after surgery: 29% were upstaged to stages III and IV. Thirty-one percent of patients with early-stage disease and 70% with advanced-stage received CT. Among recurrences, the majority had distant relapse in both early-stage (61.5%) and advanced-stage (96.3%) diseases. In both patients with early-stage and advanced-stage diseases, adjuvant CT did not improve OS or PFS. On multivariate analysis, CT was not a significant factor associated with improved PFS (hazard ratio [HR], 1.37; 95% confidence interval [CI], 0.69–2.71; P = 0.37) or OS (HR, 0.58; 95% CI, 0.24–1.38; P = 0.22), whereas RT was associated with improved PFS (HR, 0.51; 95% CI, 0.29–0.90; P = 0.02) and OS (HR, 0.19; 95% CI, 0.09–0.42; P < 0.001). Conclusions: The high rate of upstaging after surgery highlights the importance of lymph node assessment. The high rate of distant recurrence questions the effectiveness of current CT regimens and warrants the development of novel systemic approaches. The role of adjuvant RT deserves further study. [ABSTRACT FROM AUTHOR]

High-grade serous carcinoma (HGSC) is the most prevalent and aggressive subtype of ovarian cancer. The large degree of clinical heterogeneity within HGSC has justified deviations from the traditional one-size-fits-all clinical management approach. However, the majority of HGSC patients still relapse with chemo-resistant cancer and eventually succumb to their disease, evidence that further work is needed to improve patient outcomes. Advancements in high-throughput technologies have enabled novel insights into biological complexity, offering a large potential for informing precision medicine efforts. Here, we review the current landscape of clinical management for HGSC and highlight applications of high-throughput biological approaches for molecular subtyping and the discovery of putative blood-based biomarkers and novel therapeutic targets. Additionally, we present recent improvements in model systems and discuss how their intersection with high-throughput platforms and technological advancements is positioned to accelerate the realization of precision medicine in HGSC. [ABSTRACT FROM AUTHOR]