ArticleFrontiers in cell and developmental biology2022
Differential Expression of E2F Transcription Factors and Their Functional and Prognostic Roles in Human Prostate Cancer.
Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Pooled it
- Elevated E2F6 Expression in Colorectal Cancer Tissues and Its Association With Clinicopathological Features.World journal of oncology · 2026Article
- Cancer in transition: discovery of tumor-intrinsic transcriptional programs shaping the immune and microenvironmental landscape.Biomarker research · 2026Review
- E2F1 K117 methylation by SETD6 disrupts BRD4-E2F1 binding and modulates E2F1 chromatin binding and gene regulation in prostate cancer cells.Nucleic acids research · 2026Article
- A Platform-Independent Binary Gene-Pair Signature Derived from CRPC-Enriched Single-Cell Transcriptomics for Predicting Recurrence-Free Survival in Prostate Cancer.Cancer management and research · 2026Article
- Missense and Intronic Variants inInternational journal of medical sciences · 2026Article
- FBXL22, a circadian-regulated immune biomarker with pan-cancer prognostic value and therapeutic potential in prostate cancer.Oncology letters · 2025Article
- SBFI Inhibitors Reprogram Transcriptomic Landscape of Prostate Cancer Cells Leading to Cell Death.Cancers · 2025Article
- Single-Cell and Bulk RNA Sequencing Highlights Intra-Tumoral Heterogeneity and Malignant Progression Mechanisms in Prostate Cancer.Journal of cellular and molecular medicine · 2025Article
- RSK1-driven TRIM28/E2F1 feedback loop promotes castration-resistant prostate cancer progression.The Journal of clinical investigation · 2025Article
- E2F2(E2F transcription factor 2) as a potential therapeutic target in meibomian gland carcinoma: evidence from functional and epigenetic studies.BMC cancer · 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
- Integrated machine learning based on cuproptosis and RNA methylation regulators to explore the molecular model of prostate cancer and provide novel insights to immunotherapy.Journal of Cancer · 2025Article
- Article
- ACOX2 Serves as a Favorable Indicator Related to Lipid Metabolism and Oxidative Stress for Biochemical Recurrence in Prostate Cancer.Journal of Cancer · 2024Article
- Application of Novel Transcription Factor Machine Learning Model and Targeted Drug Combination Therapy Strategy in Triple Negative Breast Cancer.International journal of molecular sciences · 2023Article
- GATA3 and E2F6 negatively regulate WDR77 expression to inhibit prostate cancer cell growth.TranscriptionArticle
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given the tumor heterogeneity, most of the current prognostic indicators cannot accurately evaluate the prognosis of patients with prostate cancer, and thus, the best opportunity to intervene in the progression of this disease is missed. E2F transcription factors (E2Fs) have been reported to be involved in the growth of various cancers. Accumulating studies indicate that prostate cancer (PCa) carcinogenesis is attributed to aberrant E2F expression or E2F alteration. However, the expression patterns and prognostic value of the eight E2Fs in prostate cancer have yet to be explored. In this study, The Cancer Genome Atlas (TCGA), Kaplan-Meier Plotter, Metascape, the Kyoto Encyclopedia of Genes and Genomes (KEGG), CIBERSORT, and cBioPortal and bioinformatic analysis were used to investigate E2Fs in patients with PCa. Our results showed that the expression of E2F1-3, E2F5, and E2F6 was higher in prostate cancer tissues than in benign tissues. Furthermore, elevated E2F1-3 and E2F5 expression levels were associated with a higher Gleason score (GS), advanced tumor stage, and metastasis. Survival analysis suggested that high transcription levels of E2F1-3, E2F5, E2F6, and E2F8 were associated with a higher risk of biochemical recurrence. In addition, we developed a prognostic model combining E2F1, E2F6, Gleason score, and the clinical stage that may accurately predict a biochemical recurrence-free survival. Functional enrichment analysis revealed that the E2F family members and their neighboring genes were mainly enriched in cell cycle-related pathways. Somatic mutations in different subgroups were also investigated, and immune components were predicted. Further experiments are warranted to clarify the biological associations between Pca-related E2F family genes, which may influence prognosis via the cell cycle pathway.
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