Integrated analysis and experimental validation of E2F2 as a potential prognostic biomarker and its oncogenic roles in serous ovarian cancer

对E2F2作为潜在预后生物标志物及其在浆液性卵巢癌中的致癌作用进行综合分析和实验验证

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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 (ORC1, RAD54L, CCNF, NCAPH, and HASPIN) showed strong co-expression. A pathway analysis of 808 differentially expressed genes linked E2F2 to immune cell recruitment, including CD4(+) T cells, NK cells, and Tregs; low E2F2 levels were associated with higher immune scores. High E2F2 predicted sensitivity to chemotherapy/targeted therapy, while low E2F2 correlated with anti-CTLA4 responsiveness. In vitro, E2F2 promoted metastasis. 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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