ArticleScientific reports2025
BRD4 interacting genes as prognostic biomarkers in hepatocellular carcinoma for optimized treatment strategies.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Targeting the E2F6-TOP2A-DKK1 axis: a novel therapeutic strategy for EMT-driven hepatocellular carcinoma progression.Frontiers in immunology · 2026Article
- miR-139-5p Targets CENPM to Suppress EMT and Malignant Progression of Hepatocellular Carcinoma via Regulating the Akt/mTOR Pathway and β-Catenin Nuclear Translocation.Journal of hepatocellular carcinoma · 2026Article
- ZNF473 as a biomarker and potential therapeutic target in cancer: integrated bioinformatics and experimental evidence with a focus on hepatocellular carcinoma.Frontiers in oncology · 2026Article
- Prognostic Significance of Glypican-3 Expression in Hepatocellular Carcinoma Treated with Atezolizumab-Bevacizumab.Cancers · 2025Article
- EZH2: From Oncogenic Driver to Therapeutic Target for Overcoming Drug Resistance in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
BRD4, a member of the BET family proteins, is extensively studied in cancer and is known for its complex network within tumor cells, interacting with various transcription factors and epigenetic regulatory proteins. However, the impact of BRD4 and its associated genes on hepatocellular carcinoma (HCC) remains unclear. HCC is one of the leading causes of cancer-related deaths globally, often diagnosed at an advanced stage, limiting treatment options. In this study, we curated BRD4-interacting genes and, through analysis of the TCGA-LIHC dataset, developed a four-gene prognostic model for HCC comprising EZH2, KIF20A, G6PD, and KIF2C. This model demonstrated strong predictive power in both training and validation cohorts, with high gene expression levels significantly correlating with poor prognosis. Furthermore, our analysis revealed significant immunological differences between risk groups and identified increased drug sensitivity in high-risk patients to certain medications, while decreased sensitivity to others. Experimental validation further indicated that the combination of BRD4 inhibitor ZBC260 and EZH2 inhibitor CPI-169 synergistically enhanced apoptosis in HCC. Collectively, this study provides a scientific rationale for early HCC diagnosis and personalized therapy, offering new insights into drug resistance in treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.