Outcome In Ovarian Cancer Research Articles

Association of a polygenic risk score with risk of abnormal ultrasound findings and ovarian cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

10542 Background: Several susceptibility loci have been identified in genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) that are associated with ovarian cancers. Polygenic risk scores (PRS) combining certain loci have shown limited performance at predicting ovarian cancer risk. However, the utilization of PRS with ovarian cancer screening tests, like transvaginal ultrasound (TVU), warrants further evaluation. This study investigated the association between a polygenic risk score and ovarian cancer risk and abnormal TVU screening in a large-scale randomized controlled ovarian cancer screening trial. Methods: A polygenic risk score was constructed using weighted sums of risk alleles of 15 ovarian cancer SNPs identified in previous GWAS to evaluate the association with abnormal TVU screening results and ovarian cancer outcomes in female participants of the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Complete genotyping information, TVU results, and ovarian cancer outcomes were available for 15722 females (mean age 62.2 years +/- 5.3) with European ancestry, including 116 ovarian cancer cases. Abnormal TVU was defined as ovarian volume or cyst volume > 10 cm3, any solid/cystic component within a cystic ovarian tumor, or any solid area or papillary projection extending into the cavity of a cystic ovarian tumor. Polygenic risk scores were categorized as quartiles and odds ratios (OR) were calculated to assess risk of ovarian cancer or abnormal TVU result using the lowest PRS quartile as reference category. Results: TVU screening results were abnormal for 732 (732/15722, 4.66%) participants and normal for 14990 (14990/15722, 95.3%) participants at trial baseline. PRS within the fourth quartile demonstrated increased risk of ovarian cancer with reference to the lowest quartile (OR 1.77, 95% confidence interval: 1.04-3.08). Similarly, women in the highest quartile of the PRS had increased odds of an abnormal TVU screening result (OR 1.46, 95% confidence interval: 1.17-1.83) compared to women in the lowest PRS quartile. Conclusions: A polygenic risk score including 15 loci previously shown to be associated with ovarian cancer risk showed an association with increased ovarian cancer risk in the PLCO trial. Furthermore, the PRS was also associated with abnormal ultrasound results. Our findings support further evaluation of polygenic risk scores and transvaginal ultrasound for ovarian cancer risk stratification and screening approaches.

Using artificial intelligence-powered evidence-based molecular decision-making for improved outcomes in ovarian cancer.

Using artificial intelligence-powered evidence-based molecular decision-making for improved outcomes in ovarian cancer.

The Gut Microbiome in Aging and Ovarian Cancer.

The gut microbiome changes with age and affects regions beyond the gut, including the ovarian cancer tumor microenvironment. In this review summarizing the literature on the gut microbiome in ovarian cancer and in aging, we note trends in the microbiota composition common to both phenomena and trends that are distinctly opposite. Both ovarian cancer and aging are characterized by an increase in proinflammatory bacterial species, particularly those belonging to phylum Proteobacteria and genus Escherichia, and a decrease in short chain fatty acid producers, particularly those in Clostridium cluster XIVa (family Lachnospiraceae) and the Actinobacteria genus Bifidobacterium. However, while beneficial bacteria from family Porphyromonadaceae and genus Akkermansia tend to increase with normal, healthy aging, these bacteria tend to decrease in ovarian cancer, similar to what is observed in obesity or unhealthy aging. We also note a lack in the current literature of research demonstrating causal relationships between the gut microbiome and ovarian cancer outcomes and research on the gut microbiome in ovarian cancer in the context of aging, both of which could lead to improvements to ovarian cancer diagnosis and treatment.

Association between BMI and oncologic outcomes in epithelial ovarian cancer: a predictors-matched case-control study.

We aimed to study the association between obesity and survival in ovarian cancer (OC) patients, accounting for confounders as disease stage, histology, and comorbidities. Retrospective matched case-control study of consecutive patients, with epithelial OC. Obese (body mass index [BMI] ≥ 35 kg m-2) patients were matched in a 1:4 ratio with patients having lower BMIs (BMI < 35 kg m-2) based on disease stage, cytoreduction state, tumor histology and ASA score. We compared the 3-year and total recurrence-free survival and overall survival through Kaplan-Meier survival curves and Cox proportional hazards. Overall, 153 consecutive patients were included, of whom 32 (20.9%) had a BMI ≥ 35. and 121 a BMI < 35. The median follow-up time was 39 months (interquartile range 18-67). Both study groups were similar in multiple prognostic factors, including American Society of Anesthesiologists physical status, completion of cytoreduction, histology and stage of disease (p = 0.981, p = 0.992, p = 0.740 and p = 0.984, respectively). Ninety-five (62.1%) patients underwent robotic surgery and conversion rate from robotic to laparotomy was similar in both groups 2 (6.3%) in obese group vs. 6 (5.0%) in lower BMI patients, p = 0.673. During the follow-up time, the rate of recurrence was similar in both groups; 21 (65.6%) in obese group vs. 68 (57.1%), p = 0.387 and the rate of death events was similar; 16 (50.0%) in obese group vs. 49 (40.5%), p = 0.333). The 3-year OS was higher in the obese group (log rank p = 0.042) but the 3-year RFS was similar in both groups (log rank p = 0.556). Median total OS was similar in both groups 62 months (95% confidence interval 25-98 months) in obese vs. 67 months (95% confidence interval 15-118) in the lower BMI group, log rank p = 0.822. Median RFS was similar in both groups; 61 months (95% confidence interval 47-74) in obese, vs. 54 (95% confidence interval 43-64), log rank p = 0.842. In Cox regression analysis for OS, including obesity, age, laparotomy and neoadjuvant treatment - only neoadjuvant treatment was independently associated with longer OS: odds ratio 1.82 (95% confidence interval 1.09-3.05) and longer RFS: odds ratio 2.16 (95% confidence interval 1.37-3.41). In the present study on consecutive cases of ovarian cancer, obesity did not seem to be associated with outcome, except for an apparent improved 3-year survival that faded away thereafter.

Machine learning developed a fibroblast-related signature for predicting clinical outcome and drug sensitivity in ovarian cancer.

Ovarian cancer (OC) is the leading cause of gynecological cancer death. Cancer-associated fibroblasts (CAF) is involved in wound healing and inflammatory processes, tumor occurrence and progression, and chemotherapy resistance in OC. GSE184880 dataset was used to identify CAF-related genes in OC. CAF-related signature (CRS) was constructed using integrative 10 machine learning methods with the datasets from the Cancer Genome Atlas, GSE14764, GSE26193, GSE26712, GSE63885, and GSE140082. The performance of CRS in predicting immunotherapy benefits was verified using 3 immunotherapy datasets (GSE91061, GSE78220, and IMvigor210) and several immune calculating scores. The Lasso + StepCox[forward] method-based predicting model having a highest average C index of 0.69 was referred as the optimal CRS and it had a stable and powerful performance in predicting clinical outcome of OC patients, with the 1-, 3-, and 5-year area under curves were 0.699, 0.708, and 0.767 in the Cancer Genome Atlas cohort. The C index of CRS was higher than that of tumor grade, clinical stage, and many developed signatures. Low CRS score demonstrated lower tumor immune dysfunction and exclusion score, lower immune escape score, higher PD1&CTLA4 immunophenoscore, higher tumor mutation burden score, higher response rate and better prognosis in OC, suggesting a better immunotherapy response. OC patients with low CRS score had a lower half maximal inhibitory concentration value of some drugs (Gemcitabine, Tamoxifen, and Nilotinib, etc) and lower score of some cancer-related hallmarks (Notch signaling, hypoxia, and glycolysis, etc). The current study developed an optimal CRS in OC, which acted as an indicator for the prognosis, stratifying risk and guiding treatment for OC patients.

Proteomic profiles of peritoneal fluid-derived small extracellular vesicles correlate with patient outcome in ovarian cancer.

Cancer-derived small extracellular vesicles (sEVs) are capable of modifying the tumor microenvironment and promoting tumor progression. Ovarian cancer (OvCa) is a lethal malignancy that preferentially spreads through the abdominal cavity. Thus, the secretion of such vesicles into the peritoneal fluid could be a determinant factor in the dissemination and behavior of this disease. We designed a prospective observational study to assess the impact of peritoneal fluid-derived sEVs (PFD-sEVs) in OvCa clinical outcome. For this purpose, 2 patient cohorts were enrolled: patients with OvCa who underwent a diagnostic or cytoreductive surgery and nononcological patients, who underwent abdominal surgery for benign gynecological conditions and acted as the control group. Systematic extraction of PFD-sEVs from surgical samples enabled us to observe significant quantitative and qualitative differences associated with cancer diagnosis, disease stage, and platinum chemosensitivity. Proteomic profiling of PFD-sEVs led to the identification of molecular pathways and proteins of interest and to the biological validation of S100A4 and STX5. In addition, unsupervised analysis of PFD-sEV proteomic profiles in high-grade serous ovarian carcinomas (HGSOCs) revealed 2 clusters with different outcomes in terms of overall survival. In conclusion, comprehensive characterization of PFD-sEV content provided a prognostic value with potential implications in HGSOC clinical management.

Outcomes after fertility-sparing surgery of early-stage ovarian cancer: A nationwide population-based study.

Fertility-sparing surgery (FSS) is an alternative choice of young patients who have not completed their family planning and still have fertility needs. The aims of this study were to compare the outcomes of early-stage epithelial ovarian cancer (EOC) patients undergoing FSS and radical comprehensive staging surgery (RCS), and the suitability of FSS. A total of 1297 patients aged between 20 and 44 years with newly diagnosed early-stage EOC were recruited from the Taiwan Cancer Registry database between 2009 and 2017. Site-specific surgery codes were used to distinguish patients in FSS group or RCS group. Cancer-specific survival (CSS) was evaluated using Kaplan-Meier method with log-rank test and Cox regression model. There were 401 and 896 patients in FSS and RCS group. Patients in FSS group were with younger age and mostly had Stage I disease. In contrast, patients in RCS group were older. There were more Stage II, high-grade (Grade 3) disease, and adjuvant chemotherapy in RCS group. Stage and tumor grade were two independent factors correlating with CSS and the type of surgery showed no effect on CSS (HR: 1.09, 95% CI: 0.66-1.77, p = 0.73) in multivariable analysis. In multivariable analysis, the clear cell carcinoma group who underwent FSS demonstrated better CSS compared to those in the RCS group (HR: 0.28, 95% CI: 0.06-0.82, p = 0.04). A total of 17 women who underwent FSS developed second malignancies of the uterine corpus or contralateral ovary. FSS can be a safe alternative procedure in selected young patients of Stage I EOC who have fertility desire. Endometrial biopsy before or during FSS and regular surveillance to detect recurrence are mandatory for ovarian cancer patients undergoing FSS.

Abstract 800: Spatial accessibility of gynecologic oncologists and time to surgery in a diverse cohort of women with ovarian cancer in Northern California

Abstract Introduction: To expand our understanding of factors contributing to racial and ethnic disparities in ovarian cancer outcomes, we examined the association between spatial accessibility of gynecologic oncologists and time from cancer diagnosis to surgery in the KPROCS Study, a diverse cohort of women diagnosed with ovarian cancer between 2000-2018 at Kaiser Permanente Northern California (KPNC). Spatial medical accessibility is a component of healthcare access that captures the proximity and availability of healthcare resources in the area. Methods: Ovarian cancer cases were identified through the KPNC Cancer Registry. Demographic and clinical information was extracted from KPNC databases. Neighborhood characteristics from the California Neighborhoods Data System were linked to the residential addresses of cases at the time of diagnosis. Spatial medical accessibility was measured using the 2-step floating catchment area method based on the location of the infusion centers where KPNC gynecologic oncologists practice and the residence location of cohort members. We used generalized estimating equations with independent correlation structure and robust standard errors to examine the association between spatial accessibility of gynecologic oncologists and time to ovarian cancer surgery, adjusting for year and age at diagnosis, stage, histotype, race, ethnicity, neighborhood socioeconomic status (nSES), and receipt of neoadjuvant chemotherapy. Results: The cohort comprised 4,910 women with ovarian cancer, of whom 3,304 had surgery at KPNC. Of this group, 13% were Hispanic, 14% were non-Hispanic (NH) Asian American women, 5% NH Black women, and 67% NH White women. The proportion of women residing in areas of the lowest spatial accessibility of gynecologic oncologists was highest among NH White women (26%) and women residing in the highest quintile of nSES (29%). The median time from diagnosis to surgery was 4 days (interquartile range 22 days). In adjusted analyses, not including the information on spatial accessibility, the time from diagnosis to surgery was 5.1 days longer (95% CI 1.5, 8.7) for NH Black women than NH White women. After adding information on spatial accessibility, this time did not considerably change, resulting in a 5.3-day (95% CI 1.7, 8.9) difference. In this model, the lowest quintile of spatial accessibility of gynecologic oncologists was associated with a longer time from diagnosis to surgery, but this association was not statistically significant (0.4 days difference, 95% CI -1.3, 2.0). Summary: In our preliminary analyses, spatial accessibility of gynecologic oncologists was not found to be a contributing factor to the disparity in time from diagnosis to surgery between NH Black and NH White women. Further analyses will examine time from diagnosis to chemotherapy overall and stratified by racial and ethnic groups. Citation Format: Ekaterina Chirikova, Pushkar P. Inamdar, Valerie McGuire, Salma Shariff-Marco, Valerie S. Lee, Lindsay J. Collin, Carola T. Sanchez-Diaz, Juraj Kavecansky, C Bethan Powell, Jennifer A. Doherty, Lawrence H. Kushi, Elisa V. Bandera, Scarlett L. Gomez. Spatial accessibility of gynecologic oncologists and time to surgery in a diverse cohort of women with ovarian cancer in Northern California [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 800.

Lifetime Exposure to Cigarette Smoke, B-Cell Tumor Immune Infiltration, and Immunoglobulin Abundance in Ovarian Tumors.

Cigarette smoke exposure has been linked to systemic immune dysfunction, including for B-cell and immunoglobulin (Ig) production, and poor outcomes in patients with ovarian cancer. No study has evaluated the impact of smoke exposure across the life-course on B-cell infiltration and Ig abundance in ovarian tumors. We measured markers of B and plasma cells and Ig isotypes using multiplex immunofluorescence on 395 ovarian cancer tumors in the Nurses' Health Study (NHS)/NHSII. We conducted beta-binomial analyses evaluating odds ratios (OR) and 95% confidence intervals (CI) for positivity of immune markers by cigarette exposure among cases and Cox proportional hazards models to evaluate hazard ratios (HR) and 95% CI for developing tumors with low (<median) or high (≥median) immune cell/Ig percentage. There were no associations between smoke exposure and B-cell or IgM infiltration in ovarian tumors. Among cases, we observed higher odds of IgA+ among ever smokers (OR, 1.54; 95% CI, 1.14-2.07) and ever smokers with no parental smoke exposure (OR, 2.03; 95% CI, 1.18-3.49) versus never smokers. Women with parental cigarette smoke exposure versus not had higher risk of developing ovarian cancer with low IgG+ (HR, 1.51; 95% CI, 1.10-2.09), whereas ever versus never smokers had a lower risk (HR, 0.74; 95% CI, 0.56-0.99). Ever smoking was associated with increased odds of IgA in ovarian tumors. IgA has been associated with improved ovarian cancer outcomes, suggesting that although smoking is associated with poor outcomes in patients with ovarian cancer, it may lead to improved tumor immunogenicity.

Ovarian Cancer in the Older Manitoban Population-Treatment Tolerance and Cancer-Related Outcomes: A Manitoba Ovarian Cancer Outcomes (MOCO) Group Study.

In Canada, individuals with gynecologic reproductive organs (ovaries, fallopian tubes, uterus) over the age of 70 comprise a large proportion of epithelial ovarian cancer patients. These patients often have co-morbidities, polypharmacy, or decreased functional status that may impact treatment initiation and tolerance. Despite this, there is limited evidence to guide treatment for older patients diagnosed with ovarian epithelial carcinoma. This is a retrospective study with data from Manitoba, Canada. The data were obtained from the Manitoba Ovarian Cancer Database, the Manitoba Cancer Registry, and electronic health records. All individuals with epithelial ovarian, fallopian tube, or peritoneal cancer diagnosed between 2009 and 2018 were identified. Patients aged > 70 at the time of diagnosis were included in the study cohort. Four hundred and forty individuals were included. The majority had advanced stage disease (56%). Moreover, 59% of patients received no chemotherapy. Of the patients who received chemotherapy, 20% received <2 cycles and 21% required a dose reduction due to toxicity. Univariable and multivariable analysis identified advanced stage (p < 0.001), treatment modality (p < 0.001), and advanced age at diagnosis (p < 0.001) with poorer overall survival. Our study demonstrated a high rate of chemotherapy dose reduction and discontinuation in the elderly epithelial ovarian cancer population. Further research is needed to identify risk factors for treatment discontinuation and intolerance in this population.

Abstract A076: T-cell exhaustion is an independent predictive biomarker of clinical outcome in high grade serous ovarian cancer regardless of homologous recombination deficiency status

Abstract Epithelial ovarian cancer is the most lethal gynecologic malignancy, with 5-year survival rates of 46%. High grade serous carcinoma (HGSC) is the most frequent subtype of epithelial ovarian cancer. Approximately 50% of cases are homologous recombination deficient (HRD). Whereas maintenance treatment by PARP inhibitors has significantly improved the prognosis of patients with HRD tumors, clinical outcome in this malignancy is still poor. Despite the immunogenic nature of HGSC, in which T-cell infiltration correlates to improved clinical outcome following surgery and chemotherapy, the disease exhibits low response rates to immune checkpoint blockade (ICB) monotherapy in advanced line settings. We have previously identified epithelial malignancies including HGSC, CD4 and CD8 populations of tumor-infiltrating and antigen-specific T cells that display features of terminal exhaustion. These populations were key players in the response to anti-PD-1 in patients with epithelial tumors. Here, we set out to characterize tumor-infiltrating T cells in a cohort of 80 HGSC patients treated at our institution from whom we collected tumor samples prior to therapy in which HRD status was assessed. We used multiplex immunofluorescence of FFPE tumor samples to assess infiltration by CD4 and CD8 T cells and multiparametric flow cytometry of frozen viable cell suspensions to assess CD4 and CD8 T-cell exhaustion. The link between biological parameters and clinical outcome was assessed by univariable and multivariable analyses. Assessment of the T-cell infiltrate by immunofluorescence showed no difference in the absolute numbers, per tumor or stroma mm2, of CD8 or CD4 T cells between HRD and homologous recombination proficient (HRP) tumors. Instead, analysis of exhausted CD8 and CD4 T cells showed an increased frequency of terminally exhausted PD-1HighTIM-3+ CD8 T cells in HRD tumors. This population, which expresses the ectonucleotidase CD39, was significantly correlated to the presence of T regulatory cells (Treg), which agreed with previous studies showing comigration of effector and regulatory T cells in ovarian cancer. In addition, terminally exhausted CD4 T cells, expressing the immune checkpoints PD-1 and TIM-3 as well as CD39, were enriched in HRD tumors. Among HRD tumors, no difference was observed between the exhaustion profile in tumors presenting deleterious BRCA1/2 mutations compared to those with other mutations in the homologous recombination pathway. Univariable analyses showed exhaustion parameters to be significant predictors of progression-free survival (PFS). The frequencies of exhausted CD4 and CD8 T cells stood out as predictors of PFS in multivariable analyses. Altogether, these results provide the first evidence of a link between T-cell exhaustion and HRD status and reveal T-cell exhaustion as an independent predictor of disease outcome. They also underline the major role played by the antitumor immune response in HGSC and warrant the development of combination immunotherapies despite the lack of response to ICB monotherapy. Citation Format: Anna Salvioni, Mathilde Del, Marie Michelas, Pierre Vuattoux, Clara-Maria Scarlata, Carlos Martinez-Gomez, Nathalie Van Acker, François-Xavier Frenois, Guillaume Bataillon, Jean-Pierre Delord, Alejandra Martinez, Maha Ayyoub. T-cell exhaustion is an independent predictive biomarker of clinical outcome in high grade serous ovarian cancer regardless of homologous recombination deficiency status [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr A076.

Abstract A096: Blockade of LAIR1-collagen interaction enhances the therapeutic activity of BiTE-secreting T cells in ovarian cancer

Abstract Introduction: The tumor microenvironment (TME), abundant with collagen produced by cancer associated fibroblasts (CAFs), plays a critical role in evading the immune system and limiting the efficacy of cell therapies. High levels of collagen and CAF expression correlate with malignant potential, decreased T cell accumulation, and overall unfavorable clinical outcomes in ovarian cancer (OC). Finding ways to address this immunosuppressive TME is therefore critical to improving therapeutic options. We recently reported on the therapeutic potential of adoptively transferred T cells engineered to secrete a folate receptor alpha (FRα)-targeted bispecific T cell engager (FR-B T cells) to target a tumor antigen commonly overexpressed in OC. Transcriptional profiling following ACT revealed that effector-like FR-B T cells (FR-BE T cells) upregulated genes associated with extracellular matrix interaction, suggesting interaction with the tumor stroma may limit antitumor immunity by FR-B T cells. Our goal was to improve the effectiveness of FR-B T cells by inhibiting LAIR-1, a widely present immune checkpoint receptor that sends T cell inhibitory signals after binding to collagen-like domains, leading to T cell exhaustion. We hypothesized that interrupting the LAIR1-collagen pathway using a LAIR1 decoy (NC410, supplied by NextCure Inc.) could amplify the FR-BE T cell effector function, thereby improving the response. Methods: We utilized in vitro co-culture assays to understand the phenotype and mechanistic changes occurring at the level of the T cell/tumor interface when exposed to collagen, as well as effects of LAIR 1 pathway blockade with the addition of NC410. In vivo murine models were used to determine disease progression and overall survival (OS) following treatment with bispecific T cell engager-armed T cells ± LAIR1 blockade. Results: Phenotypic analysis of FR-B T cells revealed elevated LAIR-1 expression on FR-BE T cells. FRα+ OC lysis by FR-BE T cells was diminished in the presence of collagen, suggesting LAIR-1 signaling can suppress tumor attack. In vitro, the addition of NC410 enhanced the activity of FR-BE T cells when exposed to collagen, improving both FRα+ target cell lysis and partially restoring the production of IFN-γ by FR-BE T cells. In vivo, the combination of NC410 with FR-BE T cells led to improved tumor control compared to FR-BE T cell therapy alone. Conclusions: Our results highlight understanding the interactions between infiltrating immune cells and the immunosuppressive TME to better design combination therapies that improve duration and magnitude of immune attack on tumors. By blocking T cell/stromal interactions, FR-B T cell therapy can be further enhanced, creating a promising opportunity to improve the impact of adoptive cell therapy in OC. Citation Format: Sarah Werner, Nicole Gaulin, Jessie Chiello, Theja Giridharan, Anm Nazmul Khan, Sora Suzuki, Suzanne Hess, Sol Langermann, Emese Zsiros, Brahm H. Segal, A.J. Robert McGray. Blockade of LAIR1-collagen interaction enhances the therapeutic activity of BiTE-secreting T cells in ovarian cancer [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr A096.

Comprehensive machine learning-based preoperative blood features predict the prognosis for ovarian cancer

PurposeSignificant advancements in improving ovarian cancer (OC) outcomes have been limited over the past decade. To predict prognosis and improve outcomes of OC, we plan to develop and validate a robust prognosis signature based on blood features.MethodsWe screened age and 33 blood features from 331 OC patients. Using ten machine learning algorithms, 88 combinations were generated, from which one was selected to construct a blood risk score (BRS) according to the highest C-index in the test dataset.ResultsStepcox (both) and Enet (alpha = 0.7) performed the best in the test dataset with a C-index of 0.711. Meanwhile, the low RBS group possessed observably prolonged survival in this model. Compared to traditional prognostic-related features such as age, stage, grade, and CA125, our combined model had the highest AUC values at 3, 5, and 7 years. According to the results of the model, BRS can provide accurate predictions of OC prognosis. BRS was also capable of identifying various prognostic stratifications in different stages and grades. Importantly, developing the nomogram may improve performance by combining BRS and stage.ConclusionThis study provides a valuable combined machine-learning model that can be used for predicting the individualized prognosis of OC patients.

Impact of Ovarian Cancer Surgery Volume on Overall and Progression-Free Survival: A Population-Based Retrospective National French Study.

Data are limited on the relationship between ovarian cancer surgery volume and outcomes in France. For this retrospective, population-based study, patients with ovarian cancer that was diagnosed between January 1, 2012 and December 31, 2016 were identified from the French National Health Data System (SNDS). Hospitals were classified in function of their ovarian cancer surgery volume. Patient, tumor, hospital, and hospital stay characteristics also were evaluated. The hospital procedure volume effect on 5-year overall survival (OS) and recurrence-free survival (RFS) was determined with Cox-proportional hazards models. This study included 8429 patients and 53.4% underwent cytoreductive surgery in hospitals with procedure volume < 20 cases/year. The 5-year OS rates were 63% and 60% in hospitals with procedure volume ≥ 20 and < 20 cases/year (p = 0.02). In multivariate analysis, OS and RFS were significantly increased when surgery was performed in hospitals doing ≥ 20 surgeries/year (vs. < 20) (hazard ratio HR = 1.18, 95% CI = 1.08-1.29 and HR = 1.10, 95% CI = 1.03-1.17). In the volume subgroup analysis, a difference was observed mainly between hospitals with < 10 surgeries/year and the other hospitals (HR = 1.27, 95% CI = 1.14-1.41 and HR = 1.14, 95% CI = 1.05-1.23). The patients' age and comorbidities, tumor stage, and hospital stay (duration, first cytoreduction surgery) were associated with OS. Ovarian cancer surgery volume ≥ 20 cases/year was significantly associated with improved OS and RFS but only with a limited clinical benefit. The biggest differences in OS and RFS were observed between hospitals with procedure volume < 10 cases/year and all the other hospitals.

Closing the diagnostic gap: Liquid biopsy potential to transform ovarian cancer outcomes in sub-Saharan Africa.

Ovarian cancer presents a significant health challenge in sub-Saharan Africa (SSA), where late-stage diagnosis contributes to high mortality rates. This diagnostic gap arises from limited resources, poor healthcare infrastructure, and a lack of awareness about the disease. However, a potential game-changer is emerging in the form of liquid biopsy (LB), a minimally invasive diagnostic method. This paper analyses the current diagnostic gap in ovarian cancer in SSA, highlighting the socio-economic, cultural, and infrastructural factors that hinder early diagnosis and treatment. It discusses the challenges and potential of LB in the context of SSA, emphasizing its cost-effectiveness and adaptability to resource-limited settings. The transformative potential of LB in SSA is promising, offering a safer, more accessible, and cost-effective approach to ovarian cancer diagnosis. This paper provides recommendations for future directions, emphasizing the need for research, infrastructure development, stakeholder engagement, and international collaboration. By recognizing the transformative potential of LB and addressing the diagnostic gap, we can pave the way for early detection, improved treatment, and better outcomes for ovarian cancer patients in SSA. This paper sheds light on a path toward better healthcare access and equity in the region.

Are preoperative serum cancer antigen 125 levels a prognostic factor for outcome in epithelial ovarian cancer? A systematic review.

Most patients with epithelial ovarian cancers (EOC) present with advanced-stage disease because of non-specific symptoms and lack of reliable strategies for early diagnosis. Cancer antigen 125 (CA-125) is suggested as a useful prognostic biomarker, its serum level is raised in over 80.0% of patients with EOC. Primary debulking surgery (PDS) followed by chemotherapy is the conventional treatment, but neoadjuvant chemotherapy followed by interval debulking surgery (NACT-IDS) is offered to patients with unresectable disease. There are inconsistencies regarding the role of preoperative CA-125 serum levels to adopt in stratifying patients for treatment choice that offers the most benefit. This review aimed to determine the role of preoperative CA-125 levels in predicting optimal cytoreduction and the association between optimal cytoreduction and survival outcome in patients with EOC. Three electronic databases CINAHL, Cochrane library and PubMed were searched for potentially relevant articles from 2016 to 2021 on the role of preoperative CA-125 levels in predicting optimal cytoreduction and survival in patients with epithelial ovarian carcinomas. In patients who underwent NACT-IDS, a lower preoperative CA-125 value is a predictor of optimal cytoreduction and an increase in preoperative CA-125 value is consistently associated with a decrease in optimal cytoreduction. There was insufficient data to assess overall survival. However, a raised preoperative CA-125 level is poor predictor of chance of achieving optimal cytoreduction and the rate of optimal cytoreduction was a weak predictor of overall survival in women who had primary debulking surgery.

Cancer associated fibroblasts serve as an ovarian cancer stem cell niche through noncanonical Wnt5a signaling

Frequent relapse and chemoresistance cause poor outcome in ovarian cancer (OC) and cancer stem cells (CSCs) are important contributors. While most studies focus exclusively on CSCs, the role of the microenvironment in providing optimal conditions to maintain their tumor-initiating potential remains poorly understood. Cancer associated fibroblasts (CAFs) are a major constituent of the OC tumor microenvironment and we show that CAFs and CSCs are enriched following chemotherapy in patient tumors. CAFs significantly increase OC cell resistance to carboplatin. Using heterotypic CAF-OC cocultures and in vivo limiting dilution assay, we confirm that the CAFs act by enriching the CSC population. CAFs increase the symmetric division of CSCs as well as the dedifferentiation of bulk OC cells into CSCs. The effect of CAFs is limited to OC cells in their immediate neighborhood, which can be prevented by inhibiting Wnt. Analysis of single cell RNA-seq data from OC patients reveal Wnt5a as the highest expressed Wnt in CAFs and that certain subpopulations of CAFs express higher levels of Wnt5a. Our findings demonstrate that Wnt5a from CAFs activate a noncanonical Wnt signaling pathway involving the ROR2/PKC/CREB1 axis in the neighboring CSCs. While canonical Wnt signaling is found to be predominant in interactions between cancer cells in patients, non-canonical Wnt pathway is activated by the CAF-OC crosstalk. Treatment with a Wnt5a inhibitor sensitizes tumors to carboplatin in vivo. Together, our results demonstrate a novel mechanism of CSC maintenance by signals from the microenvironmental CAFs, which can be targeted to treat OC chemoresistance and relapse.

The "Strong Black Woman" Paradox: Insights from a Cohort of Black Breast and Ovarian Cancer Patients and Family Members.

The strong Black woman (SBW) stereotype can be seen as a positive view of Black women and even a standard to uphold. SBW internalization is a coping mechanism for dealing with racism and sexism. However, multiple recent studies have indicated that Black women in the modern era experience the paradox of SBW internalization having negative generational health effects. We interviewed Black women with a personal or relation diagnosis of breast or ovarian cancer to understand their views and experiences, including how the perception of the SBW stereotype influenced their care. Qualitative semi-structured interviews were conducted via telephone or video conference and transcribed verbatim. Transcripts were qualitatively analyzed for iterative themes related to cancer care and psychosocial support. Sixty-one Black women completed an interview. Responses in multiple transcripts expressed experiences and sentiments consistent with the SBW stereotype, including the importance of maintaining the appearance of strength during their cancer journey. This resulted in some patients declining assistance during their cancer journeys. Participants shared a hope that there would be more willingness to show vulnerability so that future generations of cancer patients receive adequate support. Key aspects of the SBW stereotype were also cited as potential contributors to ongoing racial disparities in breast and ovarian cancer outcomes. Participants described a paradox of the SBW stereotype that is ultimately detrimental to health and wellbeing. Healthcare professionals and cancer researchers should be aware of this phenomenon to address cancer care more appropriately in Black women.

Survival outcomes of epithelial ovarian cancer treated at a tertiary-level hospital in India.

One needs to choose wisely between primary neoadjuvant chemotherapy and primary cytoreductive surgery in ovarian cancer. The aim was to determine the recurrence free survival and overall survival after surgery for epithelial ovarian cancer and also the risk factors for recurrence and death. Electronic medical records of 322 women operated for ovarian, fallopian or primary peritoneal cancer between 2011 and 2015table were reviewed. Descriptive statistics were used to describe patients and their clinical outcomes. Cox proportional hazard models were used for risk factor analysis. Adjusted hazard ratios were obtained for recurrence and death, adjusted for stage, primary treatment modality, residual disease and histology. Kaplan-Meier curves were drawn for probability of recurrence-free survival and overall survival. The log rank test was used to compare survival probabilities. The majority were stage III or stage IV (78%), serous histology (71%) and high grade (64%). Primary cytoreduction was done in 48% and interval cytoreduction in 52%. The median duration of follow up (survival) was 77 months (95% CI 72-82). There were 179 known recurrences (55.6 %). The estimated median time to recurrence was 22 (95% CI 14.5- 29.5) months. The independent risk factors for recurrence were neoadjuvant chemotherapy [HR 2.14, 95% CI 1.48-3.09], stage III/IV [HR 2.75; 95% CI 1.40-5.41], high grade serous histology [HR 1.69; 95% CI 1.12-2.54] and sub-optimal debulking [HR 3.15, 95% CI 2.19-4.55]. There were 78 known deaths (24.2 %) with a mean time to death of 24.3 (SD 16.1) months. The independent risk factors for death were sub-optimal debulking [HR 3.07; 95% CI 1.78-5.29] and stages III and IV cancer [HR 3.07; 95% CI 1.14-8.27]. Most ovarian cancers recur within 2 years. Risk factors for mortality are advanced stage and sub-optimal debulking. Maximal efforts at down staging and surgical resection will increase survival.

Low expression of ACOT13 predicts poor prognosis and immunotherapy outcome in ovarian cancer.

Acyl-CoA thioesterase 13 (ACOT13) is involved in lipid biosynthesis, gene transcription, and signal transduction. We explored the potential of ACOT13 to predict ovarian cancer (OC) prognosis and patient immunotherapy responses. The Cancer Genome Atlas and Gene Expression Omnibus databases were used to extract raw data. To investigate the potential of ACOT13 as a prognostic and immunotherapeutic marker for OC, bioinformatic analyses were performed using the TIMER website, LinkedOmics database, and R software. We also explored the effects on the invasive ability of OC cells in vitro using a ACOT13 knockdown. The expression of ACOT13 in OC was high and associated with a better prognosis. The expression of ACOT13 was also linked to immune cell invasion immunity-related gene expression. Additionally, immunotherapy was more effective in patients with high ACOT13 expression levels. Multiple critical signaling pathways were found to be involved in the role of ACOT13 in energy metabolism and cell mobility based on Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. OC cells invaded and migrated significantly more when ACOT13 was knocked down. High ACOT13 expression in OC is associated to a better OC outcome.