Related Experiment Video
Updated: Aug 6, 2025

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
Published on: June 15, 2016
H4-methylation regulators mediated epitranscriptome patterns and tumor microenvironment infiltration characterization
Linyuan Yu1, Tao Ji1, Wei Liao1
1Unit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
Histone H4 methylation (H4M) patterns influence the tumor microenvironment (TME) and immune response in hepatocellular carcinoma (HCC). A low H4Mscore indicates an inflamed TME, predicting better immunotherapy response and survival.
Area of Science:
- Oncology
- Epigenetics
- Immunology
Background:
- Epigenetic modifications are crucial for tumor microenvironment (TME) remodeling and immune response regulation.
- The specific role of histone H4 methylation (H4M) in hepatocellular carcinoma (HCC) TME and immunity remains largely unexplored.
Purpose of the Study:
- To identify H4M-mediated modification patterns in HCC.
- To investigate the impact of these patterns on TME and immunologic characteristics.
- To assess the prognostic and predictive value of H4M patterns in HCC.
Main Methods:
- Consensus clustering analysis of H4M patterns across 2305 samples from 13 cohorts.
- Development of an H4Mscore using principal component analysis.
- Correlation analysis with TME infiltration, homologous recombination deficiency (HRD), intratumor heterogeneity, proliferation, stemness, and prognosis.
- Validation in internal and external cohorts, including immunotherapy datasets.
Main Results:
- Three distinct H4M modification patterns were identified, correlating with TME infiltration, biological processes, and clinical outcomes.
- The H4Mscore effectively predicted TME infiltration, HRD, heterogeneity, proliferation, stemness, and prognosis.
- A low H4Mscore was associated with an inflamed TME, superior immunotherapy response (anti-PD-1/L1, anti-CTLA4), and improved survival.
- Prognostic value was validated across multiple cohorts.
Conclusions:
- H4M modification significantly shapes TME diversity and complexity in HCC.
- The H4Mscore serves as a valuable biomarker for predicting TME features and patient outcomes.
- Evaluating H4M patterns can inform the development of more effective HCC immunotherapy strategies.
Related Concept Videos
The Tumor Microenvironment
Epigenetic Regulation
X-chromosome...
Master Transcription Regulators
lncRNA - Long Non-coding RNAs
MicroRNAs

