ArticleFrontiers in molecular biosciences2025
Integrated analysis and experimental validation of E2F2 as a potential prognostic biomarker and its oncogenic roles in serous ovarian cancer.
Article in Frontiers in molecular biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Multiple Clustering Algorithms for Ovarian Cancer Subtyping (MCAOCS): identifying clinical phenotypes and treatment response in critical care.Journal of ovarian research · 2026Article
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5 authors.
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Abstract
Background: This study evaluated the prognostic role of E2F transcription factor 2 (E2F2) in serous ovarian cancers (SOCs) and explored its biological functions, immune cell infiltration links, and therapeutic implications. Methods: Integrating TCGA/Genotype-Tissue Expression (GTEx) data, we used bioinformatics tools (ssGSEA, Immunophenoscore, and oncoPredict) to analyze pathways and treatment responses. Validation involved RT-qPCR, Western blot analysis, cytotoxicity, and transwell assays. Results: E2F2 was upregulated in SOC tumors, correlating with poorer overall/disease-free survival and higher tumor grade. Five cell-cycle-related genes ( Conclusion: High E2F2 expression marks poor prognosis and immune cell infiltration in SOCs and thus acts as an independent risk factor. It may serve as a potential biomarker for diagnosis, patient stratification, and guiding personalized therapy. Further research could enhance SOC management.
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