ArticleTranslational cancer research2021
Comprehensive analysis of the functional and prognostic value of E2F transcription factors in human prostate cancer through data mining and experimental validation.
Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 16 citations in OpenAlex.
- Personalized Boolean network dynamic profiling and machine learning approaches to identify combinatorial treatments for prostate cancer.Frontiers in pharmacology · 2026Article
- The prognostic and neuroendocrine implications of SLC25A29-mediated biomass signature in prostate cancer.GeroScience · 2025Article
- NXP800 Activates the Unfolded Protein Response, Altering AR and E2F Function to Impact Castration-Resistant Prostate Cancer Growth.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- Single cell-transcriptomic analysis informs the lncRNA landscape in metastatic castration resistant prostate cancer.NPJ genomic medicine · 2024Article
- Article
- hMSH2 coordinated with the expression of E2F1 promotes platinum response in epithelial ovarian cancer.The Journal of international medical research · 2023Article
- Targeting E2F Sensitizes Prostate Cancer Cells to Drug-Induced Replication Stress by Promoting Unscheduled CDK1 Activity.Cancers · 2022Article
- Harnessing the Heterogeneity of Prostate Cancer for Target Discovery Using Patient-Derived Explants.Cancers · 2022Article
- Differential Expression of E2F Transcription Factors and Their Functional and Prognostic Roles in Human Prostate Cancer.Frontiers in cell and developmental biology · 2022Article
- A Novel Gene Signature Associated With "E2F Target" Pathway for Predicting the Prognosis of Prostate Cancer.Frontiers in molecular biosciences · 2022Article
- GATA3 and E2F6 negatively regulate WDR77 expression to inhibit prostate cancer cell growth.TranscriptionArticle
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA growing body of evidence shows that E2F transcription factors play a significant role in the tumorigenesis of prostate cancer. However, their functional and prognostic value has not been fully illustrated. Therefore, we used bioinformatics methods to further analyze the possible roles of E2F transcription factors in the development and progression of prostate cancer.
methodsWe explored the expression levels of E2F transcription factors using data from The Cancer Genome Atlas (TCGA) and Oncomine database in paired and unpaired samples. The clinical correlation and prognostic value of E2F transcription factors were assessed. Using the R package "pROC", we judged the diagnostic value of E2F transcription factors. The online website tool cBioPortal was also employed to find possible gene alterations of E2F transcription factors in samples from TCGA. The R package "clusterprofiler" was used to conduct functional analysis. Moreover, we also used the Tumor Immune Estimation Resource to search for the associations between E2F transcription factors and the infiltration levels of 6 kinds of immune cells. Finally, quantitative real-time polymerase chain reaction (PCR) was conducted to validate the expression levels of E2F transcription factors in human paired prostate tissues.
resultsE2F1/2/3/5 messenger RNA (mRNA) expression levels were higher in prostate cancer tissues than in normal tissues, while E2F4 and E2F6 mRNA expression levels were lower (P<0.05). All E2F transcription factors were associated with clinical parameters. Kaplan-Meier analysis revealed that E2F1/4/6/8 were notably associated with the overall survival of patients with prostate cancer (P<0.05). Receiver operating characteristic (ROC) curve results showed that except for E2F7, the other E2F transcription factors had diagnostic value for prostate cancer (P<0.05). We further found close associations between E2F transcription factors and the infiltration levels of immune cells. The results of quantitative real-time PCR were consistent with those from public databases.
conclusionsE2F transcription factor family members are differentially expressed in prostate cancer and are significantly related to the prognosis of patients, suggesting that they may be adopted as biomarkers for prognosis prediction and the treatment of prostate cancer.
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