Search Results (524)

Background: The optimal timing of cytoreductive surgery for advanced high-grade serous carcinoma (HGSC) remains a critical unmet question in the modern era of platinum-based chemotherapy and PARP inhibitor (PARPi) maintenance. To address this gap, we compared outcomes following primary debulking surgery (PDS) versus interval debulking surgery (IDS) in a uniformly treated, contemporary cohort. Methods: Patients with FIGO stage IIIB–IVB HGSC treated between 2019 and 2023 were retrospectively analyzed. Baseline tumor burden was assessed using detailed radiologic and laparoscopic evaluations, including both presurgical and intraoperative assessments. Progression-free survival (PFS) and overall survival (OS) were examined using multivariable Cox proportional hazards models and reported as adjusted hazard ratios (aHRs). Subgroup analyses were rigorously conducted according to residual disease status and BRCA mutation status. Results: Among 221 patients (PDS, n = 60; IDS, n = 151), the median follow-up was 40 months. In the overall cohort, adjusted PFS and OS did not differ significantly between the PDS and IDS groups (PFS: aHR, 1.15; 95%CI, 0.67–1.98; OS: aHR, 1.24; 95%CI, 0.54–2.83). Outcomes were comparable among patients achieving R0 resection. Notably, BRCA-mutated patients demonstrated a substantial survival advantage with PDS (BRCA-mutated PFS: aHR, 3.34; 95%CI, 1.06–16.67; OS: aHR, 6.07; 95%CI, 2.13–∞), whereas BRCA wild-type patients showed no significant difference between surgical strategies. Conclusions: The findings suggest that BRCA-mutated patients may derive a survival benefit from PDS, whereas surgical timing had a limited impact on BRCA wild-type disease. This result underscores the importance of integrating molecular profiling, particularly BRCA mutation status, with surgical assessment to guide optimal and personalized treatment strategies in the PARPi era. Full article

Background/Objectives: This pilot study investigates the feasibility of using patient-derived microtumors (PDMs) to assess chemotherapy response in epithelial ovarian cancer. Methods: Fresh tissue from 10 patients was used to develop PDMs, which were then tested against carboplatin/paclitaxel, carboplatin/docetaxel, and carboplatin/pegylated liposomal doxorubicin (PLD). Of the 10 PDMs, 3 were obtained from primary debulking surgery (PDS), and 7 were obtained at the time of interval debulking surgery following neoadjuvant chemotherapy. Results: When looking at PDMs derived from tissue collected at the time of PDS, we found that 100% of PDMs demonstrated a full response to carboplatin/PLD, while 30% showed a full response to all regimens, all of which were derived from high-grade serous carcinoma during PDS. The remaining PDMs showed moderate responses to carbo/taxol and carbo/doce. Conclusions: This study suggests that PDMs can be used to assess the efficacy of chemotherapy regimens, as a hypothesis-generating step toward future predictive validation. Full article

Background: Intracellular miRNA transfer is an intriguing and lesser-described mode of intracellular communication. Epithelial ovarian carcinoma, of which the high-grade serous histotype represents the most common and deadliest form, is characterized by a microenvironment consisting of tumor and stromal cells, ascitic fluid, and extracellular matrix, presenting a rich milieu of factors that can affect neighboring cells. Methods: We examined the mode of miR transfer in serous ovarian carcinoma cell lines cultured on different extracellular matrix supports both in two-dimensional and three-dimensional formats coupled with traditional, live-cell time-lapse, multiphoton fluorescence imaging modalities, and fluorescence-activated cell sorting approaches. Results: Our data demonstrate that miR can transfer between cells both in culture and in vivo. Moreover, transferred miRNA results in target-specific gene expression changes in recipient cells. Our data indicate that miR transfer occurs via extracellular vesicles, which shuttle from and within the donor and recipient cells via endocytic pathways recruiting sorting, early, late, and recycling endosomes. Conclusions: Our study highlights the phenomenon of miR transfer as a mode of communication between serous ovarian cancer cells, which can affect both treatment and diagnostics of this disease. Full article

High-grade serous ovarian carcinoma is the most common and aggressive form of ovarian cancer, accounting for over 60% of cases and nearly 75% of deaths, mainly due to late diagnosis and tumor aggressiveness. Standard treatment is platinum-based chemotherapy with paclitaxel, but relapse is frequent. This study aimed to identify prognostic biomarkers for patients with poor survival outcomes after Taxol treatment using bioinformatics analysis. We examined the effects of TGFB2 mRNA expression and other markers on overall survival in serous ovarian cancer using the TCGA database, applying a multivariate Cox model that included interaction terms to identify TGFB2-dependent and independent prognostic markers, and controlling for age and treatment type. Candidate TGFB2-independent prognostic markers from TCGA were further validated using patient data from the KMplotter database. High TGFB2 mRNA expression emerged as a prognostic biomarker for three potential gene targets (TRPV4, STAU2, and HOXC4) associated with improved OS at low levels of gene target expression, we identified four additional markers (CLIC3, ANPEP/LAP1, RIN2, and EMP1) that exhibited a TGFB2-independent negative correlation between mRNA expression and OS across the full spectrum of gene expression values in the ovarian cancer cohort validated using independent dataset from KMplotter, for Taxol-treated ovarian cancer patients. This study proposes a panel of potential prognostic biomarkers for the treatment of ovarian cancer patients, particularly by leveraging TGFB2-dependent mRNA expression as a significant biomarker, alongside four additional TGFB2-independent prognostic markers, for patients undergoing Taxol-based therapies. Future prospective clinical trials will be required to validate these prognostic markers. Full article

High-grade serous ovarian cancer (HGSOC) is the most commonly diagnosed ovarian cancer subtype. Approximately half of all patients diagnosed with HGSOC are deficient in homologous recombination (HR), harbor BRCA1/2 mutations, and are treated with poly (ADP-ribose) polymerase (PARP) inhibitors (PARPis). FDA-approved PARPis Olaparib, Niraparib, and Rucaparib all contribute to adverse effects in patients due to their poly-pharmacological properties. This feature necessitates investigation of global protein responses to PARPi treatment beyond DNA repair in the context of BRCA mutational status and HR deficiency. We sought to determine the landscape of differential PARPi-induced proteomes in HGSOC cells exhibiting different BRCA1/2 mutational statuses. Here, we applied immunofluorescence microscopy to detect γH2AX, Rad51, and geminin foci as markers of DNA damage and repair upon treatment of HGSOC cells with IC₅₀ doses of PARPis. Global proteome perturbations upon PARPi treatment were measured using quantitative mass spectrometry-based proteomics. The proteomic data highlighted cell line effects, masking high-dose PARPi treatment response. Interrogation of PARPi response within biological pathways identified through gene set enrichment analysis (GSEA) revealed significant changes to proteins involved in Epithelial–Mesenchymal Transition (EMT), E2F targets, and cholesterol homeostasis. Our study establishes proteomic evidence supporting the poly-pharmacological characteristics of Niraparib, Olaparib, and Rucaparib in HGSOC cells. Full article

Background/Objectives: This study aimed to characterize dendritic cell (DC) heterogeneity, immune associations, and prognostic relevance across three TP53-mutated tumor entities—high-grade serous ovarian cancer (HGSOC), triple-negative breast cancer, and endometrial cancer—focusing on plasmacytoid DCs (pDCs) in HGSOC. Methods: RNA-sequencing and clinical data of 603 patients from The Cancer Genome Atlas were analyzed. DC subset abundance was assessed for cDC progenitor, conventional DC type 1 (cDC1), conventional DC type 2 (cDC2), plasmacytoid DC (pDC), and mature DC by marker gene signatures. Differences in DC scores across tumors were analyzed using Kruskal–Wallis. Survival analyses were performed using Kaplan–Meier and Cox regression. Spearman’s correlation was used to determine associations between parameters. Results: HGSOC showed the lowest pDC abundance, yet high pDC scores were independently associated with shorter PFS (HR = 1.55, 95% CI: 1.05–2.27; p = 0.027), representing the only DC-subset-related prognostic signal observed across tumor types. pDCs correlated positively with neutrophils and negatively with monocytes, and pDCs, cDC2s, and cDC progenitors correlated inversely with TMB. No consistent link was found between pDC and TP53 mutation classes. However, tumors harboring specific TP53 mutations within established hotspot regions exhibited significantly lower pDC levels (p = 0.015). Conclusions: Our findings reveal distinct DC infiltration patterns and highlight the immunological vulnerability of TP53-mutated HGSOC. pDCs appear to exert a tumor-promoting, immune-evasive role, suggesting that DC function depends on their programming and tumor context. Selective targeting of DC subsets may offer novel therapeutic opportunities in TP53-mutated, low-TMB cancers. Full article

High-grade serous ovarian cancer (HGSOC) is the most common (~80%) and lethal ovarian cancer subtype in the United States, characterized by TP53 mutations and DNA repair defects causing chromosomal instability (CIN). KIF18A is an essential cytoskeletal motor protein for cell division in CIN+ cancer cells, but it is not necessary for cell division in normal cells. Therefore, KIF18A represents a promising target for therapeutic interventions in CIN+ cancers. We investigated the use of a novel KIF18A inhibitor ATX020, for selectively targeting CIN+ HGSOC cells using growth inhibition assays, invasion assays, immunoassays, cell cycle analysis, and immunofluorescence techniques. Using DepMap and flow cytometry, we classified a panel of HGSOC cell lines based on aneuploidy scores (AS) and ploidy levels and identified a correlation between these classifications and sensitivity against ATX020. ATX020 induced cytotoxicity through mitotic arrest and DNA damage, and reduced tumor growth in HGSOC with high aneuploidy scores (AS). Mechanistically, ATX020 blocks KIF18A’s plus-end movement on spindle fibers, increasing spindle length, resulting in chromosomal mis-segregation, aneuploidy, and DNA damage. Our findings suggest that ATX020 inhibits CIN+ HGSOC cells mainly by inducing mitotic arrest and DNA damage, disrupting KIF18A’s function crucial for mitosis. Full article

Background: Ovarian cancer has the poorest prognosis of all gynecological malignancies, largely due to its chemoresistance, which poses significant treatment challenges. In this context, drug repurposing emerges as an innovative strategy that employs non-cancer treatments to interact with various signaling pathways, enhancing chemotherapy efficacy while minimizing toxicity. This study investigated the cytotoxic effects of galanthamine, currently used as an Alzheimer’s disease, as a potential treatment for high-grade serous carcinoma, both individually and in combination with paclitaxel. Methods: The Presto Blue assay, viability marker assessments, immunocytochemical analysis of apoptosis, and a cumulative assay were employed to evaluate the functionality of P-glycoprotein. Results: The results indicated that galanthamine did not demonstrate cytotoxic or synergistic effects in either high-grade serous carcinoma cell line tested, suggesting that it is not a viable strategy for overcoming paclitaxel resistance in this context. The immunocytochemistry analysis indicated that galanthamine does not affect the expression of proteins related to cell viability and proliferation and is not associated with chemoresistance. Additionally, functional assays showed that galanthamine treatment did not affect its drug efflux function at the cellular level. Conclusions: Overall, the results indicate that galanthamine is unsuitable for reversing paclitaxel resistance despite some literature suggesting its potential interaction with P-glycoprotein. Full article

Mitochondrial DNA (mtDNA) mutations are prevalent across cancer genomes, and growing evidence implicates their multifaceted role in energy metabolism with tumorigenesis. Ovarian cancer, in particular, demonstrates high mtDNA copy numbers and increased incidences of truncating and missense mtDNA mutations, with heteroplasmy levels predictive of prognosis. This review provides a comprehensive description of published mtDNA sequencing data in ovarian cancer, the majority being high-grade serous samples, encompassing both coding and non-coding regions. MtDNA mutations within non-coding regions, such as the D-loop control region, can affect mtDNA replication and transcription, hence affecting overall mtDNA copy numbers, while mtDNA mutations within coding regions can directly impact respiratory complex function and downstream metabolic pathways. MtDNA mutations may serve as clinically valuable diagnostic biomarkers for ovarian cancer and predictors for chemoresistance. We also explore ongoing efforts to deepen our understanding of mitochondrial oncogenetics through the creation of novel cancer models enabled by mitochondrial gene editing techniques. Developing robust human ovarian cancer cell models will be critical to elucidate mechanistic and phenotypic consequences of mtDNA mutations, assess drug response and resistance and identify new therapeutic targets to advance precision oncology in this emerging field. Full article

Background: Pivotal clinical trials have led to the routine clinical use of PARP inhibitor (PARPi) (olaparib, niraparib, or rucaparib) maintenance therapy in high-grade serous tubo-ovarian and peritoneal cancers. Whether various PARPis have comparable clinical impact in the real-world is an area of ongoing investigation. Methods: We conducted a retrospective study of all patients who received PARPi maintenance therapy at Nottingham Cancer Centre from October 2017 to April 2025. Clinical data were extracted from multidisciplinary team electronic health records, including age, BRCA mutation status, HRD status, treatment history, type of PARP inhibitor received, progression-free survival (PFS), and overall survival (OS). Results: A total of 177 patients had received PARPi therapy with a mean age of 63 years at diagnosis. In all, 94/177 (53.1%) had received PARPi as primary maintenance, while 83/177 (46.9%) were treated in the recurrent setting. All together, 25/177 (14.1%) had BRCA1 germline mutation and 21/177 (11.9%) had BRCA2 germline mutation. In the primary olaparib setting, PFS was significantly better in BRCA2 germline-mutated patients compared to BRCA1 germline-mutated patients [median PFS was not reached vs. 29.0 months, respectively, p = 0.002]. In BRCA, wild-type patients receiving primary niraparib, median PFS was 11 months. Median PFS for patients with upfront surgery was 37 months compared to 19 months in the interval debulking group but not significant (p = 0.49). In the recurrent setting, there was no significant difference in median PFS between niraparib and rucaparib [10 months vs. 9 months, p = 0.594]. Conclusions: BRCA2 germline-mutated patients obtained significantly greater benefit from olaparib compared to BRCA1-mutated patients. PFS benefit from niraparib (primary or recurrent setting) is comparable to clinical trials. There was no difference in benefit between niraparib and rucaparib in the recurrent setting. Full article

Background/Objectives: Ovarian cancer is a heterogeneous malignancy with molecular subtypes that strongly influence prognosis and therapy. High-dimensional mRNA data can capture this biological diversity, but its complexity and noise limit robust subtype characterization. Furthermore, current classification approaches often fail to reflect subtype-specific transcriptional programs, underscoring the need for computational strategies that reduce dimensionality and identify discriminative molecular features. Methods: We designed a multi-stage feature selection and network analysis framework tailored for high-dimensional transcriptomic data. Starting with ~65,000 mRNA features, we applied unsupervised variance-based filtering and correlation pruning to eliminate low-information genes and reduce redundancy. The applied supervised Select-K Best filtering further refined the feature space. To enhance robustness, we implemented a hybrid selection strategy combining recursive feature elimination (RFE) with random forests and LASSO regression to identify discriminative mRNA features. Finally, these features were then used to construct a gene co-expression similarity network. Results: This pipeline reduced approximately 65,000 gene features to a subset of 83 discriminative transcripts, which were then used for network construction to reveal subtype-specific biology. The analysis identified four distinct groups. One group exhibited classical high-grade serous features defined by TP53 mutations and homologous recombination deficiency, while another was enriched for PI3K/AKT and ARID1A-associated signaling consistent with clear cell and endometrioid-like biology. A third group displayed drug resistance-associated transcriptional programs with receptor tyrosine kinase activation, and the fourth demonstrated a hybrid profile bridging serous and endometrioid expression modules. Conclusions: This pilot study shows that combining unsupervised and supervised feature selection with network modeling enables robust stratification of ovarian cancer subtypes. Full article

Background/Objectives: Tubo-ovarian high-grade serous carcinoma (HGSC) is a highly lethal malignancy, usually diagnosed at an advanced stage due to the lack of early symptoms and biomarkers. Contraceptive hormone use is associated with a reduced risk of HGSC, but the relative contributions of natural versus synthetic progestins, and their interaction with estrogens, are poorly understood. Methods: We evaluated the chemo-preventive efficacy of a synthetic progestin medroxyprogesterone acetate (MPA), progesterone (P4), and combined 17β-estradiol-progesterone (E2 + P4) in a well-characterized genetically engineered mouse model (GEMM) of oviductal HGSC based on the conditional inactivation of one or both alleles of the Brca1, Trp53, Rb1, and Nf1 tumor suppressor genes (BPRN-het and BPRN-homo mice, respectively). Mice received hormones or placebo via slow-release pellets implanted subcutaneously. After induction of tumor formation, the mice were monitored for tumor development, progression, and survival. Tumor incidence was assessed histologically, and hormone effects were further explored via RNA-seq analysis of oviductal tissues. Results: MPA significantly reduced HGSC incidence and delayed tumor progression compared to the placebo, P4, and P4 + E2 in both BPRN-homo and BPRN-het mice, with up to 78% tumor-free survival in the MPA-treated BPRN-het cohort. P4 monotherapy did not provide significant protection vs. the placebo, but the effects of P4 could have been impacted by a failure to achieve sustained release of the hormone beyond 4–8 weeks. The E2 + P4 combination accelerated tumorigenesis and reduced survival (p < 0.0001 in BPRN-homo and p = 0.0004 in BPRN-het mice). MPA did not affect tumorigenesis in a colon cancer GEMM, or the growth of mouse HGSC-derived cells in vivo, suggesting the role of MPA in the early stages of HGSC development. Gene expression analyses showed that P4 and MPA downregulated cholesterol homeostasis, early and late estrogen response, and epithelial–mesenchymal transition pathways, though only MPA afforded tumor protection. Conclusions: These findings demonstrate that a synthetic progestin, specifically MPA, confers robust protection against HGSC development, while a combination including E2 (E2 + P4) increases risk. This work also illustrates how HGSC GEMMs can be used to compare the chemo-preventive effects of various synthetic progestins on HGSC development in order to prioritize the most effective ones for use in preventing HGSC in both general and high-risk populations. Full article

Background/Objectives: Access to genetic counselling and BRCA1/2 germline testing is standard of care for patients with high-grade serous ovarian carcinoma (HGSOC). While tumour testing reliably detects pathogenic variants in hereditary cancer genes, it cannot distinguish somatic from germline variants. Concurrent testing of non-cancerous (normal) tissue obtained during surgery may improve triage for germline testing and clinical genetics referral. This study evaluated the concordance of inherited variant detection among tumour, normal tissue, and blood to determine whether archived normal tissue can reliably identify germline pathogenic variants. Methods: Patients with HGSOC who had a pathogenic variant identified by targeted Next Generation Sequencing (NGS) tumour testing and underwent germline hereditary cancer gene panel (HCP) testing between April 2019 and November 2020 were included. HCP testing was performed on formalin-fixed, paraffin-embedded normal tissue from the original resection. Variant results were compared across tumour, normal tissue, and germline (blood) samples to determine concordance, false-negative, and false-positive rates. Results: Forty-one patients had confirmed tumour variants in BRCA1/2 or other HCP genes. Of these, 24 harboured a corresponding germline pathogenic variant. Archived normal tissue was available for 23 of these 24 cases, and all germline variants were detected in normal tissue, showing 100% concordance. Among the 17 patients without germline variants, all corresponding normal tissue samples were negative, also demonstrating 100% concordance. No false positives or negatives were identified. Conclusions: NGS testing of normal tissue at surgical resection reliably identifies germline pathogenic variants in patients with HGSOC. Incorporating this approach may help triage patients for clinical genetics assessment. Full article

Background: Epithelial ovarian cancer is an aggressive malignancy with poor prognosis despite advances in multimodal treatment. The systemic immune-inflammation index (SII) has emerged as a prognostic biomarker in various cancers; however, the impact of surgery-induced inflammatory changes remains unclear. Methods: This study evaluated the prognostic significance of postoperative changes in SII among patients with epithelial ovarian cancer undergoing primary surgery. Data from 374 patients treated at Samsung Medical Center and Kangbuk Samsung Hospital between 2016 and 2021 were retrospectively reviewed. SII was calculated from complete blood counts obtained within one month before surgery and on postoperative day 1. The percentage change in SII was analyzed, and the optimal cutoff was determined using receiver operating characteristic curve analysis. Survival outcomes were assessed using Kaplan–Meier and multivariable Cox regression models. Results: Patients with a postoperative SII increase > 98.4% (Group 2) had significantly poorer overall (HR = 1.86, p = 0.009) and progression-free survival (HR = 1.30, p = 0.112) compared with those with smaller changes (Group 1). Discussion: High-grade histology, serous subtype, and greater intraoperative blood loss were associated with higher postoperative SII. A marked postoperative increase in SII independently predicted poor survival, suggesting that dynamic inflammatory responses rather than static baseline levels provide additional prognostic information. Conclusions: Perioperative SII monitoring, easily obtainable from routine blood tests, may help identify high-risk patients who could benefit from intensified surveillance or adjuvant treatment. Prospective multicenter studies are warranted to validate these findings and explore whether perioperative modulation of systemic inflammation can improve outcomes. Full article

Background: High-grade serous ovarian cancer (HGSC) is the most common and aggressive subtype of ovarian cancer. Despite initial response to platinum-based chemotherapy, most patients relapse. Cytoreductive surgery at relapse has been shown to improve survival in selected patients, but the biological mechanisms underlying recurrence and resistance remain unclear. This study aimed to investigate whether the mutational profile of HGSC changes from diagnosis to relapse, and to evaluate treatment patterns and survival outcomes in a cohort undergoing cytoreductive surgery. Methods: Sixteen patients with HGSC who underwent cytoreductive surgery at both diagnosis and relapse were included. Matched tumor tissue samples (n = 32) were collected and sequenced using a 501-gene cancer panel. Only pathogenic or likely pathogenic variants were registered. Clinical data, treatment history, and survival outcomes were obtained from medical records, with a median follow-up of 63 months. Results: All patients harbored pathogenic or likely pathogenic mutations, most frequently in TP53 (88%) and BRCA1/2 (38%). The mutational landscape was largely stable, with 15 of 16 patients (94%) showing no mutational changes between diagnosis and relapse. One patient acquired a NOTCH2 mutation at relapse. Complete resection was achieved in 88% of relapse surgeries. Median time to first relapse was 32 months, and overall survival was prolonged, with 87.5% of patients alive at last follow-up. BRCA mutated patients showed longer time to relapse, and overall follow-up compared to BRCA wild-type cases. Conclusions: The somatic mutational profile of HGSC remains remarkably stable from diagnosis to relapse. Clinically, this stability suggests that repeat mutational sequencing at relapse is unlikely to yield new actionable findings and may have limited value in guiding treatment decisions. Instead, resistance mechanisms likely arise from epigenetic or non-genetic changes, underscoring the need for future research in these areas and the continued importance of optimal surgical management in selected patients. Full article