Ovarian cancer research papers

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A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o-Driven Automated Feature Recognition and Validation in Clinical Settings. reports: Accurate non-invasive diagnosis of early-stage ovarian cancer remains challenging because of the limited number of biomarkers. Although artificial intelligence algorithms show promise for ovarian cancer diagnosis, their reliance on specialized engineering knowledge hinders their accessibility. The recent emergence of visual large language models such as GPT-4o has further expanded the potential of AI in this domain.

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TFAP2C protects against ferroptosis in ovarian cancer through the KEAP1-NRF2 axis by recruiting HDAC1/2. reports: Ferroptosis, a distinct form of programmed cell death characterized by the iron-dependent aberrant buildup of lipid peroxides, has emerged as a promising approach in cancer therapy. The KEAP1-NRF2 axis serves as a critical regulator of ferroptosis, exerting its suppressive effects by preserving cellular redox homeostasis and orchestrating the transcriptional activation of downstream antioxidant genes. NRF2 hyperactivation is frequently observed across multiple cancer types and is associated with tumor progression and therapeutic resistance.

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Tumor cell-intrinsic PD-1 in malignant ascites drives ovarian cancer progression via MAPK/ERK signaling. reports: Programmed cell death protein 1 (PD-1), an immune checkpoint primarily expressed on T cells, plays a critical role in mediating tumor immune evasion. However, the role of PD-1 in non-immune cells remains poorly understood. Here, we report tumor cell-intrinsic PD-1 expression in malignant ascites from ovarian cancer patients.

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Metastatic high-grade undifferentiated ovarian carcinoma: A case report from Sub-Saharan Africa. reports: Undifferentiated ovarian carcinoma (UDOC) is an exceptionally rare and highly aggressive subtype of epithelial ovarian cancer, accounting for less than 1% of cases and infrequently reported in the literature, particularly in resource-limited settings. To our knowledge, this represents the first reported case of metastatic UDOC from Sub-Saharan Africa. We report a case of high-grade UDOC in a 63-year-old postmenopausal woman presenting to a tertiary referral center in Northern Tanzania with a one-year history of progressive abdominal pain, distension, early satiety, and weight loss.

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Correction: Global trend analysis and risk evolution of asbestos-related ovarian cancer: a population-based study and future prediction (1990-2021). reports: [This corrects the article DOI: 10.3389/fpubh.2025.1698477.].

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Integrative Multi-omics of Gynecological Tumors Identifies Novel Singular Biomarkers of Disease Progression reports: Gynecological cancers represent a cluster of largely preventable and treatable diseases afflicting women, but with persistent substantial global burden of disease complicated by extant social factors especially in developing countries. Cervical, ovarian and endometrial cancers comprise the major gynecological cancers that might benefit from early-stage diagnosis and personalized treatment strategies. In this work, we performed integrative multi-omics analysis of public-domain omics datasets from The Cancer Genome Atlas consortium and coupled it with custom protocols to identify consensus candidate biomarkers of each of the major gynecological cancers. This is a preprint and not peer reviewed.

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Adapting the BOADICEA breast and ovarian cancer risk models for the ethnically diverse UK population reports: BackgroundBOADICEA is a widely used algorithm for predicting breast and ovarian cancer risks, using a combination of genetic and lifestyle/environmental risk factors. However, it has largely been developed using data from individuals of White ethnicity. MethodsWe utilised data from multiple sources to derive estimates for the distributions of risk factors and their effect sizes in major UK ethnic groups (White, Black, South Asian, East Asian, and Mixed). This is a preprint and not peer reviewed.

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Cancer risks for MSH6 pathogenic variant carriers reports: IntroductionLynch syndrome (LS) is a hereditary cancer syndrome caused by (likely) pathogenic variants (LP/P) in DNA mismatch repair genes, including MSH6. It is associated with elevated lifetime risks for colorectal cancer (CRC), endometrial cancer (EC), and other malignancies. However, cancer risks specific to MSH6-associated LS, particularly for non-colorectal cancers, remain poorly defined. This is a preprint and not peer reviewed.

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