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Marina D Miller,1 Erin A Salinas,1 Andreea M Newtson,1 Deepti Sharma,1 Matthew E Keeney,2 Akshaya Warrier,1 Brian J Smith,3 David P Bender,1,4 Michael J Goodheart,1,4 Kristina W Thiel,1 Eric J Devor,1,4 Kimberly K Leslie,1,4 Jesus Gonzalez-Bosquet1,41Department of Obstetrics and Gynecology, University of Iowa Carver College of Medicine, Iowa City, IA, USA; 2Department of Pathology, University of Iowa Carver College of Medicine, Iowa City, IA, USA; 3Department of Biostatistics, University of Iowa College of Public Health, Iowa City, IA, USA; 4Holden Comprehensive Cancer Center, University of Iowa Carver College of Medicine, Iowa City, IA, USAObjectives: Endometrial cancer incidence and mortality are rising in the US. Disease recurrence has been shown to have a significant impact on mortality. However, to date, there are no accurate and validated prediction models that would discriminate which individual patients are likely to recur. Reliably predicting recurrence would be of benefit for treatment decisions following surgery. We present an integrated model constructed with comprehensive clinical, pathological and molecular features designed to discriminate risk of recurrence for patients with endometrioid endometrial adenocarcinoma.Subjects and methods: A cohort of endometrioid endometrial cancer patients treated at our institution was assembled. Clinical characteristics were extracted from patient charts. Primary tumors from these patients were obtained and total tissue RNA extracted for RNA sequencing. A prediction model was designed containing both clinical characteristics and molecular profiling of the tumors. The same analysis was carried out with data derived from The Cancer Genome Atlas for replication and external validation.Results: Prediction models derived from our institutional data predicted recurrence with high accuracy as evidenced by areas under the curve approaching 1. Similar trends were observed in the analysis of TCGA data. Further, a scoring system for risk of recurrence was devised that showed specificities as high as 81% and negative predictive value as high as 90%. Lastly, we identify specific molecular characteristics of patient tumors that may contribute to the process of disease recurrence.Conclusion: By constructing a comprehensive model, we are able to reliably predict recurrence in endometrioid endometrial cancer. We devised a clinically useful scoring system and thresholds to discriminate risk of recurrence. Finally, the data presented here open a window to understanding the mechanisms of recurrence in endometrial cancer.Keywords: endometrial cancer, recurrence risk, prediction model

Purpose: This paper reports the efficacy of the poly (ADP-ribose) polymerase inhibitor olaparib alone and in combination with the antiangiogenesis agent cediranib compared with cediranib alone in patients with advanced endometrial cancer., Methods: This was open-label, randomized, phase 2 trial (NCT03660826). Eligible patients had recurrent endometrial cancer, received at least one (<3) prior lines of chemotherapy, and were Eastern Cooperative Oncology Group performance status 0 to 2. Patients were randomly assigned (1:1:1), stratified by histology (serous vs. other) to receive cediranib alone (reference arm), olaparib, or olaparib and cediranib for 28-day cycles until progression or unacceptable toxicity. The primary end point was progression-free survival in the intention-to-treat population. Homologous repair deficiency was explored using the BROCA-GO sequencing panel., Results: A total of 120 patients were enrolled and all were included in the intention-to-treat analysis. Median age was 66 (range, 41-86) years and 47 (39.2%) had serous histology. Median progression-free survival for cediranib was 3.8 months compared with 2.0 months for olaparib (hazard ratio, 1.45 [95% CI, 0.91-2.3] p = .935) and 5.5 months for olaparib/cediranib (hazard ratio, 0.7 [95% CI, 0.43-1.14] p = .064). Four patients receiving the combination had a durable response lasting more than 20 months. The most common grade 3/4 toxicities were hypertension in the cediranib (36%) and olaparib/cediranib (33%) arms, fatigue (20.5% olaparib/cediranib), and diarrhea (17.9% cediranib). The BROCA-GO panel results were not associated with response., Conclusion: The combination of cediranib and olaparib demonstrated modest clinical efficacy; however, the primary end point of the study was not met. The combination was safe without unexpected toxicity., (© 2023 American Cancer Society.)

There are strong correlations between the microbiome and human disease, including cancer. However, very little is known about potential mechanisms associated with malignant transformation in microbiome-associated gynecological cancer, except for HPV-induced cervical cancer. Our hypothesis is that differences in bacterial communities in upper genital tract epithelium may lead to selection of specific genomic variation at the cellular level of these tissues that may predispose to their malignant transformation. We first assessed differences in the taxonomic composition of microbial communities and genomic variation between gynecologic cancers and normal samples. Then, we performed a correlation analysis to assess whether differences in microbial communities selected for specific single nucleotide variation (SNV) between normal and gynecological cancers. We validated these results in independent datasets. This is a retrospective nested case-control study that used clinical and genomic information to perform all analyses. Our present study confirms a changing landscape in microbial communities as we progress into the upper genital tract, with more diversity in lower levels of the tract. Some of the different genomic variations between cancer and controls strongly correlated with the changing microbial communities. Pathway analyses including these correlated genes may help understand the basis for how changing bacterial landscapes may lead to these cancers. However, one of the most important implications of our findings is the possibility of cancer prevention in women at risk by detecting altered bacterial communities in the upper genital tract epithelium.

Purpose: To compare taxane maintenance chemotherapy, paclitaxel (P) and paclitaxel poliglumex (PP), with surveillance (S) in women with ovarian, peritoneal, or fallopian tube (O/PC/FT) cancer who attained clinical complete response after first-line platinum-taxane therapy., Methods: Women diagnosed with O/PC/FT cancer who attained clinical complete response after first-line platinum-taxane-based chemotherapy were randomly allocated 1:1:1 to S or maintenance, P 135 mg/m 2 once every 28 days for 12 cycles, or PP at the same dose and schedule. Overall survival (OS) was the primary efficacy end point., Results: Between March 2005 and January 2014, 1,157 individuals were enrolled. Grade 2 or worse GI adverse events were more frequent among those treated with taxane (PP: 20%, P: 27% v S: 11%). Grade 2 or worse neurologic adverse events occurred more often with taxane treatment (PP: 46%, P: 36% v S: 14%). At the fourth scheduled interim analysis, both taxane regimens passed the OS futility boundary and the Data Monitoring Committee approved an early release of results. With a median follow-up of 8.1 years, 653 deaths were reported; none were attributed to the study treatment. Median survival durations were 58.3, 56.8, and 60.0 months for S, P, and PP, respectively. Relative to S, the hazard of death for P was 1.091 (95% CI, 0.911 to 1.31; P = .343) and for PP, it was 1.033 (95% CI, 0.862 to 1.24; P = .725). The median times to first progression or death (PFS) were 13.4, 18.9, and 16.3 months for S, P, and PP, respectively. Hazard ratio = 0.801; 95% CI, 0.684 to 0.938; P = .006 for P and hazard ratio = 0.854; 95% CI, 0.729 to 1.00; P = .055 for PP., Conclusion: Maintenance therapy with P and PP did not improve OS among patients with newly diagnosed O/tubal/peritoneal cancer, but may modestly increase PFS. GI and neurologic toxicities were more frequent in the taxane treatment arms.

The preoperative diagnosis of pelvic masses has been elusive to date. Methods for characterization such as CA-125 have had limited specificity. We hypothesize that genomic variation can be used to create prediction models which accurately distinguish high grade serous ovarian cancer (HGSC) from benign tissue., Methods: In this retrospective, pilot study, we extracted DNA and RNA from HGSC specimens and from benign fallopian tubes. Then, we performed whole exome sequencing and RNA sequencing, and identified single nucleotide variants (SNV), copy number variants (CNV) and structural variants (SV). We used these variants to create prediction models to distinguish cancer from benign tissue. The models were then validated in independent datasets and with a machine learning platform., Results: The prediction model with SNV had an AUC of 1.00 (95% CI 1.00-1.00). The models with CNV and SV had AUC of 0.87 and 0.73, respectively. Validated models also had excellent performances., Conclusions: Genomic variation of HGSC can be used to create prediction models which accurately discriminate cancer from benign tissue. Further refining of these models (early-stage samples, other tumor types) has the potential to lead to detection of ovarian cancer in blood with cell free DNA, even in early stage.

Introduction: The survival benefits of surgical cytoreduction in ovarian cancer are well-established. However, the surgical outcome has never been assessed while controlling for the efficacy of chemotherapy. This leaves the possibility that cytoreduction may not be beneficial for patients whose cancer does not respond well to adjuvant treatment. We sought to answer whether surgical cytoreduction independently improves overall survival when controlling for chemotherapy outcome., Material and Methods: We performed a retrospective case-control study using our institution's ovarian cancer database to evaluate the effect of optimal cytoreduction on advanced stage, high-grade serous ovarian cancer. Patients' characteristics were compared using both univariate and multivariate regression modeling to assess for independent predictors of overall survival., Results: A total of 470 patients were assessed for inclusion; 234 responders to chemotherapy and 98 nonresponders. Significant survival characteristics were identified and included in the multivariate analysis. Independent predictors of survival in the multivariate analysis were age, responder status, optimal cytoreduction, neoadjuvant chemotherapy, and number of chemotherapy cycles. Kaplan-Meier survival curves showed improved survival for both patients who responded to chemotherapy and for those undergoing optimal cytoreduction (p < 0.001). We also demonstrated improved survival for patients receiving optimal cytoreduction among both nonresponders and responders (p < 0.001)., Conclusions: Our analysis shows that patients who undergo optimal cytoreduction have an overall survival benefit regardless of their response to chemotherapy. Therefore, cytoreduction should be considered in all patients, even in those with advanced disease, if an optimal result can be achieved. This study was underpowered to assess patients who received neoadjuvant chemotherapy as a separate subgroup, but the order of treatment was controlled for in the overall analysis., (© 2022 The Authors. Acta Obstetricia et Gynecologica Scandinavica published by John Wiley & Sons Ltd on behalf of Nordic Federation of Societies of Obstetrics and Gynecology (NFOG).)

Advanced high-grade serous (HGSC) ovarian cancer is treated with either primary surgery followed by chemotherapy or neoadjuvant chemotherapy followed by interval surgery. The decision to proceed with surgery primarily or after chemotherapy is based on a surgeon's clinical assessment and prediction of an optimal outcome. Optimal and complete cytoreductive surgery are correlated with improved overall survival. This clinical assessment results in an optimal surgery approximately 70% of the time. We hypothesize that this prediction can be improved by using biological tumor data to predict optimal cytoreduction. With access to a large biobank of ovarian cancer tumors, we obtained genomic data on 83 patients encompassing gene expression, exon expression, long non-coding RNA, micro RNA, single nucleotide variants, copy number variation, DNA methylation, and fusion transcripts. We then used statistical learning methods (lasso regression) to integrate these data with pre-operative clinical information to create predictive models to discriminate which patient would have an optimal or complete cytoreductive outcome. These models were then validated within The Cancer Genome Atlas (TCGA) HGSC database and using machine learning methods (TensorFlow). Of the 124 models created and validated for optimal cytoreduction, 21 performed at least equal to, if not better than, our historical clinical rate of optimal debulking in advanced-stage HGSC as a control. Of the 89 models created to predict complete cytoreduction, 37 have the potential to outperform clinical decision-making. Prospective validation of these models could result in improving our ability to objectively predict which patients will undergo optimal cytoreduction and, therefore, improve our ovarian cancer outcomes.

Purpose: Platinum-based chemotherapy is the standard of care for platinum-sensitive ovarian cancer, but complications from repeated platinum therapy occur. We assessed the activity of two all-oral nonplatinum alternatives, olaparib or olaparib/cediranib, versus platinum-based chemotherapy., Patients and Methods: NRG-GY004 is an open-label, randomized, phase III trial conducted in the United States and Canada. Eligible patients had high-grade serous or endometrioid platinum-sensitive ovarian cancer. Patients were randomly assigned 1:1:1 to platinum-based chemotherapy, olaparib, or olaparib/cediranib. The primary end point was progression-free survival (PFS) in the intention-to-treat population. Secondary end points included activity within germline BRCA -mutated or wild-type subgroups and patient-reported outcomes (PROs)., Results: Between February 04, 2016, and November 13, 2017, 565 eligible patients were randomly assigned. Median PFS was 10.3 (95% CI, 8.7 to 11.2), 8.2 (95% CI, 6.6 to 8.7), and 10.4 (95% CI, 8.5 to 12.5) months with chemotherapy, olaparib, and olaparib/cediranib, respectively. Olaparib/cediranib did not improve PFS versus chemotherapy (hazard ratio [HR] 0.86; 95% CI, 0.66 to 1.10; P = .077). In women with germline BRCA mutation, the PFS HR versus chemotherapy was 0.55 (95% CI, 0.32 to 0.94) for olaparib/cediranib and 0.63 (95% CI, 0.37 to 1.07) for olaparib. In women without a germline BRCA mutation, the PFS HR versus chemotherapy was 0.97 (95% CI, 0.73 to 1.30) for olaparib/cediranib and 1.41 (95% CI, 1.07 to 1.86) for olaparib. Hematologic adverse events occurred more commonly with chemotherapy; however, nonhematologic adverse events were higher with olaparib/cediranib. In 489 patients evaluable for PROs, patients receiving olaparib/cediranib scored on average 1.1 points worse on the NFOSI-DRS-P subscale (97.5% CI, -2.0 to -0.2, P = .0063) versus chemotherapy; no difference between olaparib and chemotherapy was observed., Conclusion: Combination olaparib/cediranib did not improve PFS compared with chemotherapy and resulted in reduced PROs. Notably, in patients with a germline BRCA mutation, both olaparib and olaparib/cediranib had significant clinical activity., Competing Interests: Joyce F. LiuConsulting or Advisory Role: Tesaro, Mersana, Clovis Oncology, Genentech/Roche, GlaxoSmithKline, Regeneron, AstraZenecaResearch Funding: Genentech/Roche (Inst), AstraZeneca (Inst), Boston Biomedical (Inst), Acetylon Pharmaceuticals (Inst), Bristol Myers Squibb (Inst), Agenus (Inst), CytomX Therapeutics (Inst), Regeneron (Inst), Tesaro (Inst), Clovis Oncology (Inst), Surface Oncology (Inst), 2X Oncology (Inst), Vigeo Therapeutics (Inst), Aravive (Inst), Arch Oncology (Inst)Travel, Accommodations, Expenses: AstraZeneca, MerckUncompensated Relationships: Merck Mark F. BradyConsulting or Advisory Role: Cel-Sci Ursula A. MatulonisHonoraria: Advaxis, Alkermes, SymphogenConsulting or Advisory Role: Merck, Novartis, NextCure, AstraZeneca, Blueprint Medicines, Trillium Therapeutics, GlaxoSmithKline, AgenusResearch Funding: Merck, Novartis, Tesaro, Syndax, Immunogen, Mersana, Leap Therapeutics, Fujifilm, SQZ BiotechTravel, Accommodations, Expenses: AstraZeneca Austin MillerConsulting or Advisory Role: AstraZeneca/Merck, Regeneron (Inst)Uncompensated Relationships: Genetect Elizabeth M. SwisherLeadership: IDEAYA Biosciences David CellaStock and Other Ownership Interests: FACIT.orgConsulting or Advisory Role: AbbVie, GlaxoSmithKline, Pfizer, Astellas Pharma, Novartis, Bristol Myers Squibb, Asahi Kasei, Ipsen, Mei PharmaResearch Funding: Novartis (Inst), Ipsen (Inst), Pfizer (Inst), PledPharma (Inst), Bristol Myers Squibb (Inst), AbbVie (Inst), Regeneron (Inst), Clovis Oncology (Inst) Noelle G. ClovenConsulting or Advisory Role: Toray Industries Carolyn Y. MullerResearch Funding: AstraZeneca (Inst), Genmab (Inst), VBL Therapeutics (Inst), Roche/Genentech (Inst), TapImmune Inc (Inst), Linnaeus Therapeutics (Inst), agenus (Inst), Incyte (Inst), Merck (Inst)Patents, Royalties, Other Intellectual Property: Have a pending patent on the cancer use for R-ketorolac - not yet its own new drug (Inst)Other Relationship: NCI, NCI, Department of Defense Richard G. MooreHonoraria: Fujirebio DiagnosticsConsulting or Advisory Role: Abcodia, Fujirebio DiagnosticsResearch Funding: Angle Steven E. WaggonerConsulting or Advisory Role: Regeneron Melissa A. GellerResearch Funding: Tesaro, Genentech, FATE Therapeutics, Morphotek, Bayer Keiichi FujiwaraHonoraria: Kyowa Hakko Kirin, Zeria Pharmaceutical, Nippon Kayaku, Chugai Pharma, Eisai, Taiho Pharmaceutical, Daiichi Sankyo, Ono Pharmaceutical, TakedaConsulting or Advisory Role: MSD, Taiho Pharmaceutical, Eisai, Takeda, Genmab, NanoCarrierResearch Funding: Eisai (Inst), Kaken Pharmaceutical (Inst), Chugai Pharma (Inst), Immunogen (Inst), Oncotherapeutics (Inst), AstraZeneca (Inst), Zeria Pharmaceutical (Inst), Ono Pharmaceutical (Inst), MSD (Inst), Regeneron (Inst), Merck KGaA (Inst), Ono Pharmaceutical (Inst), Genmab (Inst), Seattle Genetics (Inst)Travel, Accommodations, Expenses: MSD Angeles Alvarez SecordHonoraria: Myriad GeneticsResearch Funding: Tesaro (Inst), AstraZeneca (Inst), Genentech (Inst), Boehringer Ingelheim (Inst), AbbVie (Inst), Merck (Inst), PharmaMar (Inst), Clovis Oncology (Inst), Eisai (Inst), Seattle Genetics (Inst), Immutep (Inst), GlaxoSmithKline (Inst), VBL Therapeutics (Inst), OncoQuest Pharmaceuticals (Inst)Travel, Accommodations, Expenses: GlaxoSmithKlineUncompensated Relationships: Roche/Genentech, VBL Therapeutics, GOG Foundation, OncoQuest Pharmaceuticals, Regeneron, Aravive Katherine M. MoxleyConsulting or Advisory Role: Tessa Therapeutics (Inst), Clovis Oncology (Inst), GlaxoSmithKline Michael A. BookmanEmployment: The Permanente Medical GroupConsulting or Advisory Role: AstraZeneca, AbbVie, Immunogen, Merck Sharp & Dohme, Genentech/Roche, Seattle Genetics, AraviveNo other potential conflicts of interest were reported.

Elevated expression of placenta-specific protein 1 (PLAC1) is associated with the increased proliferation and invasiveness of a variety of human cancers, including ovarian cancer. Recent studies have shown that the tumor suppressor p53 directly suppresses PLAC1 transcription. However, mutations in p53 lead to the loss of PLAC1 transcriptional suppression. Small molecules that structurally convert mutant p53 proteins to wild-type conformations are emerging. Our objective was to determine whether the restoration of the wild-type function of mutated p53 could rescue PLAC1 transcriptional suppression in tumors harboring certain TP53 mutations. Ovarian cancer cells OVCAR3 and ES-2, both harboring TP53 missense mutations, were treated with the p53 reactivator HO-3867. Treatment with HO-3867 successfully rescued PLAC1 transcriptional suppression. In addition, cell proliferation was inhibited and cell death through apoptosis was increased in both cell lines. We conclude that the use of HO-3867 as an adjuvant to conventional therapeutics in ovarian cancers harboring TP53 missense mutations could improve patient outcomes. Validation of this conclusion must, however, come from an appropriately designed clinical trial.

Nearly a third of patients with high-grade serous ovarian cancer (HGSC) do not respond to initial therapy and have an overall poor prognosis. However, there are no validated tools that accurately predict which patients will not respond. Our objective is to create and validate accurate models of prediction for treatment response in HGSC. This is a retrospective case-control study that integrates comprehensive clinical and genomic data from 88 patients with HGSC from a single institution. Responders were those patients with a progression-free survival of at least 6 months after treatment. Only patients with complete clinical information and frozen specimen at surgery were included. Gene, miRNA, exon, and long non-coding RNA (lncRNA) expression, gene copy number, genomic variation, and fusion-gene determination were extracted from RNA-sequencing data. DNA methylation analysis was performed. Initial selection of informative variables was performed with univariate ANOVA with cross-validation. Significant variables (p < 0.05) were included in multivariate lasso regression prediction models. Initial models included only one variable. Variables were then combined to create complex models. Model performance was measured with area under the curve (AUC). Validation of all models was performed using TCGA HGSC database. By integrating clinical and genomic variables, we achieved prediction performances of over 95% in AUC. Most performances in the validation set did not differ from the training set. Models with DNA methylation or lncRNA underperformed in the validation set. Integrating comprehensive clinical and genomic data from patients with HGSC results in accurate and robust prediction models of treatment response.

Bacteria, archaea, and viruses are associated with numerous human cancers. To date, microbiome variations in transcription have not been evaluated relative to upper female genital tract cancer risk. Our aim was to assess differences in bacterial, archaea, and viral transcript (BAVT) expression between different gynecological cancers and normal fallopian tubes. In this case-control study we performed RNA sequencing on 12 normal tubes, 112 serous ovarian cancers (HGSC) and 62 endometrioid endometrial cancers (EEC). We used the centrifuge algorithm to classify resultant transcripts into four indexes: bacterial, archaea, viral, and human genomes. We then compared BAVT expression from normal samples, HGSC and EEC. T -test was used for univariate comparisons (correcting for multiple comparison) and lasso for multivariate modelling. For validation we performed DNA sequencing of normal tubes in comparison to HGSC and EEC BAVTs in the TCGA database. Pathway analyses were carried out to evaluate the function of significant BAVTs. Our results show that BAVT expression levels vary between different gynecological cancers. Finally, we mapped some of these BAVTs to the human genome. Numerous map locations were close to regulatory genes and long non-coding RNAs based on the pathway enrichment analysis. BAVTs may affect gynecological cancer risk and may be part of potential targets for cancer therapy.

Objective: In previous studies, neoadjuvant chemotherapy followed by interval debulking surgery was not inferior to primary cytoreductive surgery as initial treatment for advanced epithelial ovarian cancer. Our study aimed to compare surgical and survival outcomes between the two treatments in a large national database., Methods: Data were extracted from the National Cancer Database from January 2004 to December 2015. Patients with FIGO (International Federation of Gynecologists and Obstetricians) stage III-IV epithelial ovarian cancer and known sequence of treatment were included: primary cytoreductive (surgery=26 717 and neoadjuvant chemotherapy=9885). Tubal and primary peritoneal cancer diagnostic codes were not included. Residual disease after treatment was defined based on recorded data: R0 defined as microscopic or no residual disease; R1 defined as macroscopic residual disease. Multivariate Cox proportional HR was used for survival analysis. Multivariate logistic regression analysis was utilized to compare mortality between groups. Outcomes were adjusted for significant covariates. Validation was performed using propensity score matching of significant covariates., Results: A total of 36 602 patients were included in the analysis. Patients who underwent primary cytoreductive surgery had better survival than those treated with neoadjuvant chemotherapy followed by interval surgery, after adjusting for age, co-morbidities, stage, and residual disease (p<0.001). Primary cytoreductive surgery patients with R0 disease had best median survival (62.6 months, 95% CI 60.5-64.5). Neoadjuvant chemotherapy patients with R1 disease had worst median survival (29.5 months, 95% CI 28.4-31.9). There were small survival differences between primary cytoreductive surgery with R1 (38.9 months) and neoadjuvant chemotherapy with R0 (41.8 months) (HR 0.93, 95% CI 0.87 to 1.0), after adjusting for age, co-morbidities, grade, histology, and stage. Neoadjuvant chemotherapy had 3.5 times higher 30-day mortality after surgery than primary cytoreductive surgery (95% CI 2.46 to 5.64). The 90-day mortality was higher for neoadjuvant chemotherapy in multivariate analysis (HR 1.31, 95% CI 1.06 to 1.61) but similar to primary cytoreductive surgery after excluding high-risk patients., Conclusions: Most patients with advanced epithelial ovarian cancer may benefit from primary cytoreductive surgery. Patients treated with neoadjuvant chemotherapy should be those with co-morbidities unfit for surgery., Competing Interests: Competing interests: None declared., (© IGCS and ESGO 2020. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ.)

Minimally invasive robotic surgery has become an effective surgical technique for the treatment of gynecologic malignancies. This article reviews the current utilization of robotic surgery and its role for future treatment in gynecologic oncology.

The utility of comprehensive surgical staging in patients with low risk disease has been questioned. Thus, a reliable means of determining risk would be quite useful. The aim of our study was to create the best performing prediction model to classify endometrioid endometrial cancer (EEC) patients into low or high risk using a combination of molecular and clinical-pathological variables. We then validated these models with publicly available datasets. Analyses between low and high risk EEC were performed using clinical and pathological data, gene and miRNA expression data, gene copy number variation and somatic mutation data. Variables were selected to be included in the prediction model of risk using cross-validation analysis; prediction models were then constructed using these variables. Model performance was assessed by area under the curve (AUC). Prediction models were validated using appropriate datasets in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A prediction model with only clinical variables performed at 88%. Integrating clinical and molecular data improved prediction performance up to 97%. The best prediction models included clinical, miRNA expression and/or somatic mutation data, and stratified pre-operative risk in EEC patients. Integrating molecular and clinical data improved the performance of prediction models to over 95%, resulting in potentially useful clinical tests.

Nearly one-third of patients with high-grade serous ovarian cancer (HGSC) do not respond to initial treatment with platinum-based therapy. Genomic and clinical characterization of these patients may lead to potential alternative therapies. Here, the objective is to classify non-responders into subsets using clinical and molecular features. Using patients from The Cancer Genome Atlas (TCGA) dataset with platinum-resistant or platinum-refractory HGSC, we performed a genome-wide unsupervised cluster analysis that integrated clinical data, gene copy number variations, gene somatic mutations, and DNA promoter methylation. Pathway enrichment analysis was performed for each cluster to identify the targetable processes. Following the unsupervised cluster analysis, three distinct clusters of non-responders emerged. Cluster 1 had overrepresentation of the stage IV disease and suboptimal debulking, under-expression of miRNAs and mRNAs, hypomethylated DNA, "loss of function" TP53 mutations, and the overexpression of genes in the PDGFR pathway. Cluster 2 had low miRNA expression, generalized hypermethylation, MUC17 mutations, and significant activation of the HIF-1 signaling pathway. Cluster 3 had more optimally cytoreduced stage III patients, overexpression of miRNAs, mixed methylation patterns, and "gain of function" TP53 mutations. However, the survival for all clusters was similar. Integration of genomic and clinical data from patients that do not respond to chemotherapy has identified different subgroups or clusters. Pathway analysis further identified the potential alternative therapeutic targets for each cluster.

It is imperative to understand the underlying mechanisms of both endometrial carcinogenesis and recurrence in order to develop more effective prevention and treatment. This article reviews available molecular data, the interplay between endometrial cancer carcinogenesis with obesity and genetics, as well as current targeted therapies., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Introduction: Cabozantinib is a receptor tyrosine kinases inhibitor that targets MET (c-MET), VEGF receptor 2 (VEGFR2), RET, AXL, KIT, FLT-3, and TIE-2 and previously showed promising single agent activity in recurrent ovarian cancer., Methods: This was an open label, 1:1 randomized study of cabozantinib 60 mg orally (PO) daily versus weekly paclitaxel 80 mg/m 2 given 3 out of 4 weeks (NCT01716715); 111 patients were enrolled. Eligibility included persistent or recurrent epithelial ovarian, fallopian tube, or primary peritoneal carcinoma and at least one but no >3 prior chemotherapy regimens., Results: Median PFS was similar for both treatment groups and was 5.3 months for cabozantinib and 5.5 months for weekly paclitaxel (HR 1.11 (90% CI 0.77-1.61, p = 0.64)). Secondary analyses of overall survival (OS) and event free survival (EFS) showed that cabozantinib did not perform as well as weekly paclitaxel. Median OS for cabozantinib was 19.4 months and was not reached for weekly paclitaxel (HR 2.27 (90% CI 1.17-4.41, p = 0.04). EFS was also worse in the cabozantinib arm, 3.5 months, compared to weekly paclitaxel at 5.0 months (HR 1.81 (90% CI 1.24-2.63, p = 0.01). Overall response rate (ORR) was less for cabozantinib compared to weekly paclitaxel (7% versus 24.1%). Gastrointestinal toxicities, specifically nausea, diarrhea, and abdominal pain were worse in the cabozantinib arm., Conclusions: Median PFS was similar for cabozantinib and weekly paclitaxel. However, OS, EFS, and ORR were worse for cabozantinib compared to weekly paclitaxel. Cabozantinib given at this dose and schedule cannot be recommended as a treatment for recurrent ovarian cancer., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Objective: To analyze clinical prognostic factors for survival after recurrence of high-grade, advanced-stage ovarian-peritoneal-tubal carcinoma and to develop a nomogram to predict individual survival after recurrence., Methods: We retrospectively analyzed patients treated in multicenter Gynecologic Oncology Group protocols for stage III and IV ovarian-peritoneal-tubal carcinoma who underwent primary debulking surgery, received chemotherapy with paclitaxel and a platinum compound, and subsequently developed recurrence. Prognostic factors affecting survival were identified and used to develop a nomogram, which was both internally and externally validated., Results: There were 4,739 patients included in this analysis, of whom, 84% had stage III and 16% had stage IV ovarian carcinoma. At a median follow-up of 88.8 months (95% CI 86.2-92.0 months), the vast majority of patients (89.4%) had died. The median survival after recurrence was 21.4 months (95% CI 20.5-21.9 months). Time to recurrence after initial chemotherapy, clear cell or mucinous histology, performance status, stage IV disease, and age were significant variables used to develop a nomogram for survival after recurrence, which had a concordance index of 0.67. The time to recurrence alone accounted for 85% of the prognostic information. Similar results were found for patients who underwent second look laparotomy and had a complete pathologic response or received intraperitoneal chemotherapy., Conclusion: For individuals with advanced-stage ovarian carcinoma who recur after standard first-line therapy, estimated survivals after recurrence are closely related to the time to recurrence after chemotherapy and prognostic variables can be used to predict subsequent survival., Clinical Trial Registration: ClinialTrials.gov, NCT00002568, NCT00837993, NCT00002717, NCT01074398, and NCT00011986.

Objective: Paclitaxel and carboplatin (PC) is a standard initial therapy for advanced endometrial cancer. We evaluated the efficacy and tolerability of incorporating three novel agents into initial therapy., Methods: In this randomized phase II trial, patients with chemotherapy-naïve stage III/IVA (with measurable disease) and stage IVB or recurrent (with or without measurable disease) endometrial cancer were randomly assigned to treatment with PC plus bevacizumab (Arm 1), PC plus temsirolimus (Arm 2) or ixabepilone and carboplatin (IC) plus bevacizumab (Arm 3). The primary endpoint was progression-free survival (PFS). Comparable patients on the PC Arm of trial GOG209 were used as historical controls. Secondary endpoints were response rate, overall survival (OS), and safety., Results: Overall, 349 patients were randomized. PFS duration was not significantly increased in any experimental arm compared with historical controls (p > 0.039). Treatment HRs (92% CI) for Arms 1, 2, and 3 relative to controls were 0.81 (0.63-1.02), 1.22 (0.96-1.55) and 0.87 (0.68-1.11), respectively. Response rates were similar across arms (60%, 55% and 53%, respectively). Relative to controls, OS duration (with censoring at 36 months), was significantly increased in Arm 1 (p < 0.039) but not in Arms 2 and 3; the HRs (92% CIs) were 0.71 (0.55-0.91), 0.99 (0.78-1.26), and 0.97 (0.77-1.23), respectively. No new safety signals were identified. Common mutations and rates of mismatch repair protein loss are described by histotype. Potential predictive biomarkers for temsirolimus and bevacizumab were identified., Conclusion: PFS was not significantly increased in any experimental arm compared to historical controls. NRG Oncology/Gynecologic Oncology Group Study GOG-86P., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: Patients with ovarian cancer often report elevated anxiety at diagnosis that decreases posttreatment. However, a minority of patients experience sustained anxiety. Few studies have examined risk factors for persistent anxiety or its physiologic sequelae in ovarian cancer. Therefore, the authors investigated associations between prior life events, anxiety, inflammation (plasma levels of interleukin-6), and diurnal cortisol profiles in patients with ovarian cancer during the first year postdiagnosis., Methods: Participants (n = 337) completed surveys and had blood and salivary sampling prediagnosis, postchemotherapy (6 months), and 12 months after diagnosis. The Life Events and Difficulties Schedule was administered to a patient subset (n = 127) within 1 month of diagnosis. Linear mixed-effects models were used to analyze relations between anxiety and biologic variables over time. Linear regression models assessed whether anxiety trajectories mediated associations between prior stress exposure and biologic variables. Age, chemotherapy at 1 year, and cancer stage were covariates., Results: Decreased anxiety was associated with a more normalized cortisol slope over time (β = 0.092; P = .047). Early life adversity was related to flatter cortisol slopes over time (β = -0.763; P = .002); this relation was partially mediated by anxiety trajectory (P = .046). More danger-related events prediagnosis were associated with sustained anxiety (β = 0.537; P = .019) and flatter cortisol slopes over time (β = -0.243; P = .047); anxiety partially mediated the relation between danger and cortisol slope (P = .037). Neither anxiety nor prior stress exposure was related to levels of interleukin-6., Conclusions: Because dysregulated cortisol has been related to fatigue, poorer quality of life, and shorter survival in patients with ovarian cancer, those who have prior life events and chronic anxiety during the first year postdiagnosis may be at risk for more negative outcomes. Cancer 2018. © 2018 American Cancer Society., (© 2018 American Cancer Society.)

Background: The impact of psychological well-being on the physiologic processes involved in cancer progression remains unclear. Prior research has implicated adrenergic signaling in tumor growth and metastasis. Given that adrenergic signaling is influenced by both positive and negative factors, the authors examined how 2 different aspects of well-being (eudaimonic and positive affect) and psychological distress were associated with tumor norepinephrine (NE) in patients with ovarian cancer., Methods: A total of 365 women with suspected ovarian cancer completed psychosocial assessments before surgery and clinical information was obtained from medical records. Study inclusion was confirmed after histological diagnosis. Tumor NE was measured in frozen tissue samples using high-performance liquid chromatography with electrochemical detection. Confirmatory factor analysis was used to model eudaimonic well-being, positive affect, and psychological distress, and structural equation modeling was used to examine associations between these factors and tumor NE., Results: Eudaimonic well-being, positive affect, and psychological distress, modeled as distinct but correlated constructs, best fit the data (ie, compared with unitary or 2-factor models) (root mean square error of approximation, 0.048; comparative fit index, 0.982; and standardized root-mean-squared residual, 0.035). Structural equation modeling analysis that included physical well-being, stage of disease, histology, psychological treatment history, beta-blocker use, and caffeine use as covariates was found to have good model fit (root mean square error of approximation, 0.052; comparative fit index, 0.955; and standardized root-mean-squared residual, 0.036) and demonstrated that eudaimonic well-being was related to lower tumor NE (β = -.24 [P = .045]). In contrast, no effects were found for positive affect or psychological distress., Conclusions: Eudaimonic well-being was found to be associated with lower tumor NE, independent of positive affect and psychological distress. Because adrenergic signaling is implicated in tumor progression, increasing eudaimonic well-being may improve both psychological and physiologic resilience in patients with ovarian cancer., (© 2015 American Cancer Society.)

Background: Activation of the mitogen activated protein kinase pathway plays a pivotal role in cell proliferation and is frequently activated in endometrial cancer. We sought to evaluate the efficacy/safety of selumetinib, a selective MEK-1/2 inhibitor in women with recurrent endometrial cancer., Methods: This was a phase II, single-arm, open-label study evaluating response and 6-month event-free survival (EFS) as primary endpoints. Eligible patients had measurable disease, 1-2 prior cytotoxic regimens, and performance status 0-2. Selumetinib 75mg PO BID was administered daily until progression or intolerance. One cycle was 28days., Results: Fifty-four patients were enrolled; 2 were excluded due to improper pre-study treatment (1) and never treated (1), leaving 52 evaluable for efficacy/safety. Median age was 62; histology included endometrioid (58%), serous (17%) and mixed (23%). Seventeen patients (33%) had 2 prior cytotoxic regimens. The median number of cycles administered was 2 (1-34). Three (6%) patients had objective response (1 CR, 2 PR); 13 had SD as best response. The proportion of patients with 6-month EFS was 12%. Median EFS, progression-free and overall survival was 2.1, 2.3, and 8.5months, respectively. Drug-attributed grade 3/4 adverse events were observed (≥5%) were fatigue (15%), anemia (10%), pain (10%), extremity edema (8%), and dyspnea (6%). There was 1 grade 4 infection (renal), 1 grade 4 anemia, and 1 death due to hemorrhage (rectum)., Conclusions: Selumetinib was tolerable in this population but did not meet pre-trial specifications for clinical efficacy., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Purpose: The aim of this study was to evaluate the tolerability and efficacy of poly(ADP-ribose) polymerase (PARP) inhibition by veliparib during cytotoxic topotecan administration with filgrastim or pegfilgrastim neutrophil support in women with persistent or recurrent uterine cervix cancer., Experimental Design: This phase I-II trial examined twice-daily oral veliparib (10 mg) given during once-daily intravenous topotecan (0.6 mg/m²) on days 1 to 5 of each treatment cycle. Cycles were repeated every 21 days until disease progression or until toxicity prohibited further therapy. Toxicity and objective response rate were primary endpoints., Results: Twenty-seven women were enrolled. Frequently reported grade 3 or higher treatment-related toxicities were anemia (59%), thrombocytopenia (44%), leukopenia (22%), and neutropenia (19%). There were 2 partial responses (7% [90% confidence interval, 1%-22%]). Four patients had a disease progression date more than 6 months after the start of veliparib-topotecan therapy. Patients with low immunohistochemical expression (0-1+) of PARP-1 in their primary uterine cervix cancer were more likely to have a longer progression-free interval (hazard ratio, 0.25; P = 0.02) and survival (hazard ratio, 0.12; P = 0.005) after veliparib-topotecan therapy., Conclusions: Clinical activity of a veliparib-topotecan combination was minimal in women with persistent or recurrent uterine cervix cancer. Women whose uterine cervix cancers express PARP-1 at low levels may benefit preferentially from PARP inhibitors combined with cytotoxic therapies, suggesting further study of PARP expression as an integral triage biomarker.

Objective: The purpose of this phase II trial was to evaluate the toxicity and antitumor activity of EGEN-001 in platinum resistant recurrent ovarian cancer., Methods: Eligible patients had weekly IP infusion of EGEN-001 at a dose of 24mg/m(2). Toxicity and antitumor activity were evaluated using CTCAE and RESIST criteria, respectively. Co-primary endpoints were tumor response and survival without progression (PFS) for at least 6months. Survival without progression before going onto a subsequent therapy (EFS) for at least six months was also considered., Results: A total of 58 EGEN-001 cycles were administered to 20/22 enrolled patients (median 2cycles, range 1-9). The most frequently associated adverse events related specifically to EGEN-001 treatment were grade 1/2 fatigue, fever, chills, abdominal pain, nausea, vomiting, anemia, thrombocytopenia, and leukopenia. Three of 20 EGEN-001 treated patients evaluable for toxicity elected to withdraw from the study motivated in part by grade 1 treatment related toxicities. There were no patients with partial or complete response (0%; 90% CI 0-10.9%). Seven (35%) of 16 patients evaluable for response had stable disease, and 9 (45%) had progressive disease. Six (30%) patients had a PFS of greater than six months, although three had gone off study and onto other therapies before six months. The estimated six-month EFS was 15%. The median PFS and OS were 2.89 and 9.17months, respectively., Conclusion: EGEN-001 at the dose and schedule evaluated was associated with some but limited activity and was seemingly less tolerated in platinum resistant recurrent ovarian cancer patients., (Copyright © 2014 Elsevier Inc. All rights reserved.)

We planned to determine the relationship between angiogenesis and p53 mutational status in advanced-stage epithelial ovarian cancer. Using 190 tumor samples from patients with stage III and IV ovarian cancer we performed p53 sequencing, immunohistochemistry, and CD31 microvessel density (MVD) determination. MVD was elevated in tumors with p53 null mutations compared to p53 missense mutation or no mutation. Disease recurrence was increased with higher MVD in both unadjusted and adjusted analyses. In adjusted analysis, p53 null mutation was associated with increased recurrence and worse overall survival. Worse overall survival and increased recurrence risk were also associated with the combination of CD31 MVD values >25 vessels/HPF and any p53 mutation. P53 mutation status and MVD may have prognostic significance in patients with advanced-stage ovarian cancer. Tumors with p53 null mutations are likely to be more vascular, contributing to decreased survival and increased recurrence probability., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

Purpose: A primary operative complication of radical hysterectomy for cervical cancer is hemorrhage. Intraoperative autologous blood transfusion (ABT) may be beneficial in reducing the need for homologous blood transfusion., Methods: Our institution published a prospective cohort study examining the use of ABT in cervical cancer patients undergoing radical hysterectomy in 1995. Patients who were initially consented to participate in this prospective trial using intraoperative ABT (cell saver) were evaluated with a median follow-up of 3 years. We sought to update this original report with 16-year follow-up data collected from the clinical charts, Tumor Registry, and the Social Security Death Index., Results: Two groups of patients undergoing radical hysterectomy were compared: patients who received ABT, and those who did not. Of the 71 original patients, all were included in this updated review, with an average follow-up of 12.4 years for both groups. Originally, thirty-one patients received an ABT. In this group, 1 patient was lost to follow-up, and 4 (12.9 %) are deceased including 1 (3 %) with disease. In the non-autologous group, there were 7 (17.5 %) patient deaths, including 3 (7.5 %) with disease. Eighty-three percent were alive after 12 years in both groups. The ABT group had 1 patient (3 %) who developed a secondary malignancy, a colon adenocarcinoma. The non-autologous group had 2 patients (5 %) who developed a secondary malignancy; one patient developed multiple myeloma and one patient developed a verrucous cancer of the tongue., Conclusions: Autologous blood transfusion during radical hysterectomy for cervical cancer appears safe and effective.

Purpose: This multi-institutional phase II trial assessed the activity and toxicity of a new histone deacetylase inhibitor, vorinostat (suberoylanilide hydroxamic acid--SAHA) in patients with recurrent or persistent epithelial ovarian or primary peritoneal carcinoma., Patients and Methods: Women with recurrent or persistent epithelial ovarian or primary peritoneal carcinoma who were platinum-resistant/refractory (progression-free interval <12 months since platinum) were eligible for trial entry if they had measurable disease, a good performance status, and good overall organ function. Women were treated with a 400 mg daily oral dose of vorinostat and continued on treatment until disease progression or unacceptable toxicity. The primary endpoints were progression-free survival (PFS) at 6 months and toxicity. Secondary endpoints were tumor response, duration of PFS and duration of overall survival (OS)., Results: Twenty-seven women were enrolled through the Gynecologic Oncology Group (GOG) on the planned first stage of accrual for this trial and were eligible for analysis. Two women survived progression-free over 6 months, with one having a partial response. Two grade 4 toxicities were reported (one leukopenia and one neutropenia). The most common grade 3 toxicities were constitutional (3/27; 11%) and gastrointestinal (3/27, 11%). Other grade 3 toxicities included neutropenia, metabolic abnormalities, and thrombocytopenia (two patients each, 7%) as well as neurologic complaints and pain (1 patient each; 4%)., Conclusion: Vorinostat is well tolerated but had minimal activity as a single agent in unscreened patients with recurrent platinum-refractory ovarian or primary peritoneal carcinoma.

Purpose: Tissue factor (TF) is a procoagulant that plays an important part in tumor angiogenesis. We sought to determine the role of preoperative serum TF levels in predicting clinical outcome in patients with ovarian cancer., Materials and Methods: TF expression was determined by reverse transcriptase polymerase chain reaction in ovarian cell lines. Using enzyme-linked immunosorbent assay, we assessed preoperative serum TF levels in 98 women with invasive epithelial ovarian carcinoma, 30 with low malignant potential (LMP) tumors, 16 with benign tumors, and a separate validation group of 39 women with adnexal masses. Clinical information was gathered from chart review., Results: TF was expressed in four of the five ovarian cancer cell lines, but absent in the nontransformed cells. Ovarian cancer patients had a median preoperative serum TF level of 85.2 pg/mL, which was significantly higher than in those with LMP tumors (12.8 pg/mL; P < .01) and benign adnexal disease (30.7 pg/mL; P < .01). TF >or= 190 pg/mL was significantly associated with decreased patient survival (P < .01). After adjusting for other clinical variables in a multivariate Cox regression model, TF >or= 190 pg/mL was an independent prognostic factor (P < .01). Analysis of serum TF levels from the validation set confirmed that high TF (>or=190 pg/mL) was associated with a 3.4-fold increase in risk of death from disease (P = .02) and shorter survival (P = .01)., Conclusion: Preoperative serum TF levels are significantly elevated in patients with ovarian carcinoma. Elevated preoperative TF level is an independent prognostic factor for death from disease.

Objective: The purpose of this study was to determine the prognostic significance of a pretreatment serum CA 125 value in patients who were diagnosed with adenocarcinoma of the cervix., Study Design: All patients who were diagnosed with adenocarcinoma or adenosquamous carcinoma of the cervix and treated definitively between 1986 and 1998 were eligible. The relationship between pretreatment serum CA 125 values and various clinical factors was evaluated., Results: Seventy-three patients had pretreatment CA 125 drawn, with values that ranged from 5 to 683 U/mL and all patients were included in this study. A CA 125 value of >or=30 U/mL was defined as elevated by the receiver operating characteristic curve analysis and used for all subsequent analyses. Elevated serum CA 125 values were identified in 33% of the 73 patients. On the basis of the univariate analyses, an elevated pretreatment CA 125 value was associated significantly with advanced International Federation of Gynecology and Obstetrics stage (>IIA, P =.01), high grade (2 or 3, P =.04), tumor diameter >4 cm (P <.01), and positive pelvic or para-aortic lymph nodes (P =.002). The median survival time was 2.8 years for patients with a pretreatment CA 125 value of >or=30 U/mL and not yet reached for patients with values of <30 U/mL(P <.001). Pretreatment clinical variables that included CA 125 value, age, stage, grade, and tumor diameter were evaluated in a Cox proportional hazards model, and an elevated CA 125 value was the most significant predictor of survival (P <.001)., Conclusion: Serum CA 125 is an independent prognostic marker for patients with cervical adenocarcinoma.

In women with ovarian cancer, suppression of components of the immune system may promote tumour development. Previous studies in ovarian cancer have demonstrated that decreased expression and function of the T-cell receptor (TcR)-associated signal transducing zeta-chain correlates with deficient immune responsiveness of T cells. In this study, sera and ascitic fluids obtained from woman with advanced ovarian cancer were found to suppress the expression of TcR-associated zeta chain. This suppression of zeta chain expression was dose-dependent and was not observed with biologic fluids obtained from healthy women. The factor responsible for the loss of zeta chain was purified from ascites and characterized as a protein with an appropriate molecular weight of 14 kD. Suppression of T-cell TcR-zeta was specific, since neither lck nor ZAP-70 expression was affected, while zeta chain was almost completely suppressed. This selective suppression of TcR-zeta expression by the 14 kD ascites-derived factor was shown to operate at the mRNA level. By defining the mechanism through which this protein modulates TcR-zeta chain levels, it might be possible to ultimately prevent the suppressive influences of the tumour microenvironment and restor immune competence in patients with ovarian carcinoma.

Background: Although cervicovaginal Candida infections occur in 20-25% of pregnancies, the incidence of ascending infection in these cases is only 0.8%, and such infection rarely causes chorioamnionitis., Case: Sudden intrauterine fetal demise (IUFD) of twin A occurred in a diabetic primigravida presenting with a twin pregnancy and preterm labor at 33 weeks of gestation. Placental pathology and autopsy of the stillborn twin revealed extensive chorioamnionitis and fetal sepsis in the presence of Candida albicans. Twin B was unaffected., Conclusion: In this case, C albicans chorioamnionitis seemed to be associated with sudden IUFD.