Evolving population-based statistics for rare epithelial ovarian cancers

Primary Cytoreduction and Survival for Patients With Less-Common Epithelial Ovarian Cancer

This cohort study examines the association between primary cytoreduction status and survival for patients with less-common, advanced-stage epithelial ovarian carcinoma.

Fertility-Sparing Surgery for Stage I Epithelial Ovarian Cancer

OBJECTIVE

To describe population-level utilization of fertility-sparing surgery and outcome of reproductive-aged patients with early epithelial ovarian cancer who underwent fertility-sparing surgery in the United States.

METHODS

This retrospective study queried the National Cancer Institute's Surveillance, Epidemiology, and End Result Program. The study included 3,027 patients younger than age 50 years with stage I epithelial ovarian cancer receiving primary surgical therapy from 2007 to 2020. Fertility-sparing surgery was defined as preservation of one ovary and the uterus for unilateral lesion and preservation of the uterus for bilateral lesions. Temporal trend of fertility-sparing surgery was assessed with linear segmented regression with log-transformation. Overall survival associated with fertility-sparing surgery was assessed with Cox proportional hazard regression model.

RESULTS

A total of 534 patients (17.6%) underwent fertility-sparing surgery. At the cohort level, the utilization of fertility-sparing surgery was 13.4% in 2007 and 21.8% in 2020 (P for trend=.009). Non-Hispanic White individuals (2.8-fold), those with high-grade serous histology (2.2-fold), and individuals with stage IC disease (2.3-fold) had a more than twofold increase in fertility-sparing surgery utilization during the study period (all P for trend<.05). After controlling for the measured clinicopathologic characteristics, patients who received fertility-sparing surgery had overall survival comparable with that of patients who had nonsparing surgery (5-year rates 93.6% vs 92.1%, adjusted hazard ratio 0.87, 95% CI, 0.57-1.35). This survival association was consistent in high-grade serous (5-year rates 92.9% vs 92.4%), low-grade serous (100% vs 92.2%), clear cell (97.5% vs 86.1%), mucinous (92.1% vs 86.6%), low-grade endometrioid (95.7% vs 97.7%), and mixed (93.3% vs 83.7%) histology (all P>.05). In high-grade endometrioid tumor, fertility-sparing surgery was associated with decreased overall survival (5-year rates 71.9% vs 93.8%, adjusted hazard ratio 2.90, 95% CI, 1.09-7.67). Among bilateral ovarian lesions, fertility-sparing surgery was not associated with overall survival (5-year rates 95.8% vs 92.5%, P=.364). Among 41,914 patients who had epithelial ovarian cancer with any age and stage, those younger than age 50 years with stage I disease increased from 8.6% to 10.9% during the study period (P for trend=.002).

CONCLUSION

Nearly one in five reproductive-aged patients with stage I epithelial ovarian cancer underwent fertility-sparing surgery in recent years in the United States. More than 90% of reproductive-aged patients with stage I epithelial ovarian cancer who underwent fertility-sparing surgery were alive at the 5-year timepoint, except for those with high-grade endometrioid tumors.

Diagnosis Shift in Site of Origin of Tubo-Ovarian Carcinoma

OBJECTIVE

To assess population-level trends, characteristics, and outcomes of high-grade serous tubo-ovarian carcinoma in the United States.

METHODS

This retrospective cohort study queried the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The study population was 27,811 patients diagnosed with high-grade serous tubo-ovarian carcinoma from 2004 to 2020. The exposure was the primary cancer site (ovary or fallopian tube). Main outcome measures were temporal trends, clinical characteristics, and overall survival associated with primary cancer site assessed in multivariable analysis.

RESULTS

The study population comprised 23,967 diagnoses of high-grade serous ovarian carcinoma and 3,844 diagnoses of high-grade serous fallopian tubal carcinoma. The proportion of diagnoses of high-grade serous fallopian tubal carcinoma increased from 365 of 7,305 (5.0%) in 2004-2008 to 1,742 of 6,663 (26.1%) in 2017-2020. This increase was independent in a multivariable analysis (adjusted odds ratio [aOR] vs 2004-2008, 2.28 [95% CI, 1.98-2.62], 3.27 [95% CI, 2.86-3.74], and 6.65 [95% CI, 5.84-7.57] for 2009-2012, 2013-2016, and 2017-2020, respectively). This increase in high-grade serous fallopian tubal carcinoma was seen across age groups (4.3-5.8% to 22.7-28.3%) and across racial and ethnic groups (4.1-6.0% to 21.9-27.5%) (all P for trend <.001). Among the cases of tumors smaller than 1.5 cm, the increase was particularly high (16.9-67.6%, P for trend <.001). Primary-site tumors in the high-grade serous fallopian tubal carcinoma group were more likely to be smaller than 1.5 cm (aOR 8.26, 95% CI, 7.35-9.28) and unilateral (aOR 7.22, 95% CI, 6.54-7.96) compared with those in high-grade serous ovarian carcinoma. At the cohort level, the diagnosis shift to high-grade serous fallopian tubal carcinoma was associated with narrowing differences in survival over time between the two malignancy groups: adjusted hazard ratio 0.84 (95% CI, 0.74-0.96), 0.91 (95% CI, 0.82-1.01), 1.01 (95% CI, 0.92-1.12), and 1.12 (95% CI, 0.98-1.29) for 2004-2008, 2009-2012, 2013-2016, and 2017-2020, respectively.

CONCLUSION

This population-based assessment suggests that diagnoses of high-grade serous tubo-ovarian carcinoma in the United States have been rapidly shifting from high-grade serous ovarian to fallopian tubal carcinoma in recent years, particularly in cases of smaller, unilateral tumors.

Application of interpretable machine learning algorithms to predict distant metastasis in ovarian clear cell carcinoma

BACKGROUND

Ovarian clear cell carcinoma (OCCC) represents a subtype of ovarian epithelial carcinoma (OEC) known for its limited responsiveness to chemotherapy, and the onset of distant metastasis significantly impacts patient prognoses. This study aimed to identify potential risk factors contributing to the occurrence of distant metastasis in OCCC.

METHODS

Utilizing the Surveillance, Epidemiology, and End Results (SEER) database, we identified patients diagnosed with OCCC between 2004 and 2015. The most influential factors were selected through the application of Gaussian Naive Bayes (GNB) and Adaboost machine learning algorithms, employing a Venn test for further refinement. Subsequently, six machine learning (ML) techniques, namely XGBoost, LightGBM, Random Forest (RF), Adaptive Boosting (Adaboost), Support Vector Machine (SVM), and Multilayer Perceptron (MLP), were employed to construct predictive models for distant metastasis. Shapley Additive Interpretation (SHAP) analysis facilitated a visual interpretation for individual patient. Model validity was assessed using accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 score, and the area under the receiver operating characteristic curve (AUC).

RESULTS

In the realm of predicting distant metastasis, the Random Forest (RF) model outperformed the other five machine learning algorithms. The RF model demonstrated accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 score, and AUC (95% CI) values of 0.792 (0.762-0.823), 0.904 (0.835-0.973), 0.759 (0.731-0.787), 0.221 (0.186-0.256), 0.974 (0.967-0.982), 0.353 (0.306-0.399), and 0.834 (0.696-0.967), respectively, surpassing the performance of other models. Additionally, the calibration curve's Brier Score (95%) for the RF model reached the minimum value of 0.06256 (0.05753-0.06759). SHAP analysis provided independent explanations, reaffirming the critical clinical factors associated with the risk of metastasis in OCCC patients.

CONCLUSIONS

This study successfully established a precise predictive model for OCCC patient metastasis using machine learning techniques, offering valuable support to clinicians in making informed clinical decisions.

Targeting the immune microenvironment for ovarian cancer therapy

Ovarian cancer (OC) is an aggressive malignancy characterized by a complex immunosuppressive tumor microenvironment (TME). Immune checkpoint inhibitors have emerged as a breakthrough in cancer therapy by reactivating the antitumor immune response suppressed by tumor cells. However, in the case of OC, these inhibitors have failed to demonstrate significant improvements in patient outcomes, and existing biomarkers have not yet identified promising subgroups. Consequently, there remains a pressing need to understand the interplay between OC tumor cells and their surrounding microenvironment to develop effective immunotherapeutic approaches. This review aims to provide an overview of the OC TME and explore its potential as a therapeutic strategy. Tumor-infiltrating lymphocytes (TILs) are major actors in OC TME. Evidence has been accumulating regarding the spontaneous TILS response against OC antigens. Activated T-helpers secrete a wide range of inflammatory cytokines with a supportive action on cytotoxic T-cells. Simultaneously, mature B-cells are recruited and play a significant antitumor role through opsonization of target antigens and T-cell recruitment. Macrophages also form an important subset of innate immunity (M1-macrophages) while participating in the immune-stimulation context. Finally, OC has shown to engage a significant natural-killer-cells immune response, exerting direct cytotoxicity without prior sensitization. Despite this initial cytotoxicity, OC cells develop various strategies to induce an immune-tolerant state. To this end, multiple immunosuppressive molecules are secreted to impair cytotoxic cells, recruit regulatory cells, alter antigen presentation, and effectively evade immune response. Consequently, OC TME is predominantly infiltrated by immunosuppressive cells such as FOXP3+ regulatory T-cells, M2-polarized macrophages and myeloid-derived suppressor cells. Despite this strong immunosuppressive state, PD-1/PD-L1 inhibitors have failed to improve outcomes. Beyond PD-1/PD-L1, OC expresses multiple other immune checkpoints that contribute to immune evasion, and each representing potential immune targets. Novel immunotherapies are attempting to overcome the immunosuppressive state and induce specific immune responses using antibodies adoptive cell therapy or vaccines. Overall, the OC TME presents both opportunities and obstacles. Immunotherapeutic approaches continue to show promise, and next-generation inhibitors offer exciting opportunities. However, tailoring therapies to individual immune characteristics will be critical for the success of these treatments.

Increased expression of BRD4 isoforms long (BRD4-L) and short (BRD4-S) promotes chemotherapy resistance in high-grade serous ovarian carcinoma

Chemoresistance in ovarian carcinoma is a puzzling issue that urges understanding of strategies used by cancer cells to survive DNA damage and to escape cell death. Expanding efforts to understand mechanisms driving chemoresistance and to develop alternative therapies targeting chemoresistant tumors are critical. Amplification of BRD4 is frequently associated with chemoresistant ovarian carcinoma, but little is known about the biological effects of the overexpression of BRD4 isoforms in this malignancy. Here, we described the consequences of BRD4-L and BRD4-S overexpression in ovarian carcinoma shedding a light on a complex regulation of BRD4 isoforms. We demonstrated that the BRD4-L transcript expression is required to generate both isoforms, BRD4-L and BRD4-S. We showed that the BRD4-S mRNA expression positively correlated with BRD4-S protein levels, while BRD4-L isoform showed negative correlation between mRNA and protein levels. Moreover, we demonstrated that an overexpression of BRD4 isoforms is associated with chemoresistance in ovarian cancer.

Uptake and Outcomes of Neoadjuvant Chemotherapy Among US Patients With Less Common Epithelial Ovarian Carcinomas

Importance

Randomized clinical trials examining the effectiveness of neoadjuvant chemotherapy (NACT) for advanced ovarian cancer predominantly included patients with high-grade serous carcinomas. The use and outcomes of NACT in less common epithelial carcinomas are understudied.

Objective

To investigate the uptake and survival outcomes in treatment with NACT for less common histologic subtypes of epithelial ovarian cancer.

Design, Setting, and Participants

A retrospective cohort study and systematic literature review with meta-analysis was conducted using the National Cancer Database from 2006 to 2017 and the National Cancer Institute's Surveillance, Epidemiology, and End Results Program from 2006 to 2019. Data analysis was performed from July 2022 to April 2023. The evaluation included patients with stage III to IV ovarian cancer with clear cell, mucinous, or low-grade serous histologic subtypes who received multimodal treatment with surgery and chemotherapy.

Exposures

Exposure assignment per the sequence of treatment: primary debulking surgery (PDS) followed by chemotherapy (PDS group) or NACT followed by interval surgery (NACT group).

Main Outcomes and Measures

Temporal trends and characteristics of NACT use were assessed using multivariable analysis, and overall survival (OS) was assessed with the inverse probability of treatment weighting propensity score.

Results

A total of 3880 patients were examined in the National Cancer Database including 1829 women (median age, 56 [IQR, 49-63] years) with clear cell, 1156 women (median age, 53 [IQR, 42-64] years) with low-grade serous, and 895 women (median age, 57 [IQR, 48-66] years) with mucinous carcinomas. NACT use increased in patients with clear cell (from 10.2% to 16.2%, 58.8% relative increase; P < .001 for trend) or low-grade serous (from 7.7% to 14.2%, 84.4% relative increase; P = .007 for trend) carcinoma during the study period. This association remained consistent in multivariable analysis. NACT use also increased, but nonsignificantly, in mucinous carcinomas (from 8.6% to 13.9%, 61.6% relative increase; P = .07 for trend). Across the 3 histologic subtypes, older age and stage IV disease were independently associated with NACT use. In a propensity score-weighted model, the NACT and PDS groups had comparable OS for clear cell (4-year rates, 31.4% vs 37.7%; hazard ratio [HR], 1.12; 95% CI, 0.95-1.33) and mucinous (27.0% vs 26.7%; HR, 0.90; 95% CI, 0.68-1.19) carcinomas. For patients with low-grade serous carcinoma, NACT was associated with decreased OS compared with PDS (4-year rates, 56.4% vs 81.0%; HR, 2.12; 95% CI, 1.55-2.90). Increasing NACT use and histologic subtype-specific survival association were also found in the Surveillance, Epidemiology, and End Results Program cohort (n = 1447). A meta-analysis of 4 studies, including the current study, observed similar OS associations for clear cell (HR, 1.13; 95% CI, 0.96-1.34; 2 studies), mucinous (HR, 0.93; 95% CI, 0.71-1.21; 2 studies), and low-grade serous (HR, 2.11; 95% CI, 1.63-2.74; 3 studies) carcinomas.

Conclusions and Relevance

Despite the lack of data on outcomes of NACT among patients with less common carcinomas, this study noted that NACT use for advanced disease has gradually increased in the US. Primary chemotherapy for advanced-stage, low-grade serous ovarian cancer may be associated with worse survival compared with PDS.

Stage, treatment and survival of low-grade serous ovarian carcinoma in the Netherlands: A nationwide study

INTRODUCTION

Serous ovarian carcinomas constitute the largest group of epithelial ovarian cancer (60%-75%) and are further classified into high- and low-grade serous carcinoma. Low-grade serous carcinoma (LGSC) is a relatively rare subtype (approximately 5% of serous carcinomas) and epidemiologic studies of large cohorts are scarce. With the present study we aimed to report trends in stage, primary treatment and relative survival of LGSC of the ovary in a large cohort of patients in an effort to identify opportunities to improve clinical practice and outcome of this relatively rare disease.

MATERIAL AND METHODS

Patients diagnosed with LGSC between 2000 and 2019 were identified from the Netherlands Cancer Registry (n = 855). Trends in FIGO stages and primary treatment were analyzed with the Cochran-Armitage trend test, and differences in and trends of 5-year relative survival were analyzed using multivariable Poisson regression.

RESULTS

Over time, LGSC was increasingly diagnosed as stage III (39.9%-59.0%) and IV disease (5.7%-14.4%) and less often as stage I (34.6%-13.5%; p < 0.001). Primary debulking surgery was the most common strategy (76.2%), although interval debulking surgery was preferred more often over the years (10.6%-31.1%; p < 0.001). Following primary surgery, there was >1 cm residual disease in only 15/252 patients (6%), compared with 17/95 patients (17.9%) after interval surgery. Full cohort 5-year survival was 61% and survival after primary debulking surgery was superior to the outcome following interval debulking surgery (60% vs 34%). Survival following primary debulking surgery without macroscopic residual disease (73%) was better compared with ≤1 cm (47%) and >1 cm residual disease (22%). Survival following interval debulking surgery without macroscopic residual disease (51%) was significantly higher than after >1 cm residual disease (24%). Except FIGO stage II (85%-92%), survival did not change significantly over time.

CONCLUSIONS

Over the years, LGSC has been diagnosed as FIGO stage III and stage IV disease more often and interval debulking surgery has been increasingly preferred over primary debulking in these patients. Relative survival did not change over time (except for stage II) and worse survival outcomes after interval debulking surgery were observed. The results support the common recommendation to perform primary debulking surgery in patients eligible for primary surgery.

Patients with stage IA ovarian clear cell carcinoma do not require chemotherapy following surgery

BACKGROUND

Ovarian clear cell carcinoma (OCCC) is an infrequent histological subtype of epithelial ovarian cancer (EOC). The present study aimed to investigate whether chemotherapy is indispensable for patients with stage IA OCCC.

METHODS

Data were collected from the Surveillance, Epidemiology and End Results database between 2004 and 2015. All subjects were diagnosed with stage IA OCCC, according to their postoperative pathological reports. In the present study, 1038 patients were retrospectively investigated, among whom 692 patients received chemotherapy. Propensity score matching (PSM) was performed to prevent selection bias. The multivariate Cox proportional hazards model was used to analyze the correlation between variables and 5-year overall survival.

RESULTS

An equal number of patients (n = 346) who did or did not undergo chemotherapy after PSM were further enrolled in the study. The results showed that the mortality of OCCC increased for the patients aged ≥50 years. In addition, older age was associated with lower 5-year overall survival (p < 0.05). However, chemotherapy did not extend the 5-year overall survival (p = 0.524) of patients with stage IA OCCC, according to the multivariate Cox regression analysis.

CONCLUSIONS

Chemotherapy did not affect the overall survival of patients with stage IA OCCC following surgery.

A Translational Model to Improve Early Detection of Epithelial Ovarian Cancers

Neural network analyses of circulating miRNAs have shown potential as non-invasive screening tests for ovarian cancer. A clinically useful test would detect occult disease when complete cytoreduction is most feasible. Here we used murine xenografts to sensitize a neural network model to detect low volume disease and applied the model to sera from 75 early-stage ovarian cancer cases age-matched to 200 benign adnexal masses or healthy controls. The 14-miRNA model efficiently discriminated tumor bearing animals from controls with 100% sensitivity down to tumor inoculums of 50,000 cells. Among early-stage patient samples, the model performed well with 73% sensitivity at 91% specificity. Applied to a population with 1% disease prevalence, we hypothesize the model would detect most early-stage ovarian cancers while maintaining a negative predictive value of 99.97% (95% CI 99.95%-99.98%). Overall, this supports the concept that miRNAs may be useful as screening markers for early-stage disease.

OSov: An Interactive Web Server to Evaluate Prognostic Biomarkers for Ovarian Cancer

Simple Summary

The OSov web server incorporates gene expression profiles with clinical risk factors to estimate the ovarian cancers patients’ survival, and provides a tool for multiple analysis, such as forest-plot, uni/multi-variate survival analysis, Kaplan-Meier plot and nomogram construction.

Abstract

Ovarian cancer is one of the most aggressive and highly lethal gynecological cancers. The purpose of our study is to build a free prognostic web server to help researchers discover potential prognostic biomarkers by integrating gene expression profiling data and clinical follow-up information of ovarian cancer. We construct a prognostic web server OSov (Online consensus Survival analysis for Ovarian cancer) based on RNA expression profiles. OSov is a user-friendly web server which could present a Kaplan–Meier plot, forest plot, nomogram and survival summary table of queried genes in each individual cohort to evaluate the prognostic potency of each queried gene. To assess the performance of OSov web server, 163 previously published prognostic biomarkers of ovarian cancer were tested and 72% of them had their prognostic values confirmed in OSov. It is a free and valuable prognostic web server to screen and assess survival-associated biomarkers for ovarian cancer.

The role of distinct BRD4 isoforms and their contribution to high-grade serous ovarian carcinoma pathogenesis

High-grade serous ovarian carcinoma (HGSOC) is the most aggressive type of ovarian cancer, often diagnosed at advanced stages. Molecularly, HGSOC shows high degree of genomic instability associated with large number of genetic alterations. BRD4 is the 4th most amplified gene in HGSOC, which correlates with poor patients' prognosis. BRD4 is constitutively expressed and generates two proteins, BRD4 long (BRD4-L) and BRD4 short (BRD4-S). Both isoforms contain bromodomains that bind to lysine-acetylated histones. Amongst other functions, BRD4 participates in chromatin organization, acetylation of histones, transcriptional control and DNA damage repair. In cancer patients with amplified BRD4, the increased activity of BRD4 is associated with higher expression of oncogenes, such as MYC, NOTCH3 and NRG1. BRD4-driven oncogenes promote increased tumor cells proliferation, genetic instability, epithelial-mesenchymal transition, metastasis and chemoresistance. Ablation of BRD4 activity can be successfully achieved with bromodomain inhibitors (BETi) and degraders, and it has been applied in pre-clinical and clinical settings. Inhibition of BRD4 function has an effective anti-cancer effect, reducing tumor growth whether ablated by single agents or in combination with other drugs. When combined with standard chemotherapy, BETi are capable of sensitizing highly resistant ovarian cancer cell lines to platinum drugs. Despite the evidence that BRD4 amplification in ovarian cancer contributes to poor patient prognosis, little is known about the specific mechanisms by which BRD4 drives tumor progression. In addition, newly emerging data revealed that BRD4 isoforms exhibit contradicting functions in cancer. Therefore, it is paramount to expand studies elucidating distinct roles of BRD4-L and BRD4-S in HGSOC, which has important implications on development of therapeutic approaches targeting BRD4.

Emerging Trends in Neoadjuvant Chemotherapy for Ovarian Cancer

Simple Summary

Epithelial ovarian cancer is one of the most lethal cancers in women and is typically diagnosed at an advanced-stage. Historically, primary tumor reductive surgery was attempted followed by postoperative chemotherapy in most patients diagnosed with advanced ovarian cancer. However, neoadjuvant chemotherapy followed by interval tumor reductive surgery is an alternative approach for patients with advanced-stage ovarian cancer where primary tumor reductive surgery is not feasible. Here, we review proposed models that can assist in selecting patients who would benefit most from neoadjuvant chemotherapy followed by surgery.

Abstract

Epithelial ovarian cancer remains a leading cause of death amongst all gynecologic cancers despite advances in surgical and medical therapy. Historically, patients with ovarian cancer underwent primary tumor reductive surgery followed by postoperative chemotherapy; however, neoadjuvant chemotherapy followed by interval tumor reductive surgery has gradually become an alternative approach for patients with advanced-stage ovarian cancer for whom primary tumor reductive surgery is not feasible. Decision-making about the use of these approaches has not been uniform. Hence, it is essential to identify patients who can benefit most from neoadjuvant chemotherapy followed by interval tumor reductive surgery. Several prospective and retrospective studies have proposed potential models to guide upfront decision-making for patients with advanced ovarian cancer. In this review, we summarize important decision-making models that can improve patient selection for personalized treatment. Models based on clinical factors (clinical parameters, radiology studies and laparoscopy scoring) and molecular markers (circulating and tumor-based) are useful, but laparoscopic staging is among the most informative diagnostic methods for upfront decision-making in patients medically fit for surgery. Further research is needed to explore more reliable models to determine personalized treatment for advanced epithelial ovarian cancer.

Possible candidate population for neoadjuvant chemotherapy in women with advanced ovarian cancer

OBJECTIVE

To examine trends and outcomes related to neoadjuvant chemotherapy (NACT) use for advanced ovarian cancer based on patient and tumor factors.

METHODS

This retrospective cohort study queried the National Cancer Institute's Surveillance, Epidemiology, and End Results Program to examine women with stage III-IV high-grade serous ovarian carcinoma from 2010 to 2016. Propensity score inverse probability of treatment weighting was used to assess the age-, cancer stage-, and tumor extent-specific survival estimates related to NACT use.

RESULTS

Utilization of NACT has significantly increased in older women (≥65 years; 48.4% relative increase), followed by stage IV disease (35.2% relative increase), and stage III disease (25.0% relative increase) (all, P-trend < 0.05). Women who received NACT had overall survival (OS) similar to those who had primary cytoreductive surgery (PCS) in older women (hazard ratio [HR] 1.07, 95% confidence interval [CI] 0.95-1.20, P = 0.284), stage IV disease (HR 0.96, 95%CI 0.84-1.10, P = 0.564), and more disease extent cases (T3/N1/M1, HR 1.06, 95%CI 0.84-1.32, P = 0.640). Moreover, NACT use was associated with decreased other cause mortality risk compared to PCS in the older women (sub-distribution HR 0.61, 95%CI 0.40-0.94, P = 0.025) and stage IV disease (sub-distribution HR 0.49, 95%CI 0.27-0.90, P = 0.021). In contrast, women who received NACT had decreased OS compared to those who had PCS in the younger group (HR 1.22, 95%CI 1.07-1.38, P = 0.004), stage III disease (HR 1.26, 95%CI 1.13-1.41, P < 0.001), and lesser disease extent cases (T3/N0/M0, HR 1.38, 95%CI 1.20-1.58, P < 0.001).

CONCLUSION

Our study suggests that survival effect of NACT for advanced ovarian cancer may differ based on patient and tumor factors. In older women, stage IV disease, and greater disease extent, NACT was associated with similar OS compared to PCS.