Evidence map›Paper›PMID 36932439›Full record

ArticleClinical epigenetics2023

H4-methylation regulators mediated epitranscriptome patterns and tumor microenvironment infiltration characterization in hepatocellular carcinoma.

Linyuan Yu, Tao Ji, Wei Liao, Yuyan Xu, Yinghao Fang, Qing Zhu, Jianmin Nie, Dinghua Yang

Open access · goldFull text read
In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Evaluation of targeted and immune combination therapies in a rat model of hormone receptor-positive breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Linyuan Yu *Unit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
Tao Ji *Unit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
Wei LiaoUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
Yuyan XuGeneral Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Yinghao FangUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
Qing ZhuUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
Jianmin NieUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
Dinghua YangUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China. yangdinghua@smu.edu.cn.
Nanfang Hospital · CNSouthern Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic modifications are involved in the remodeling of the tumor microenvironment (TME) and the regulation of immune response. Nonetheless, the role of histone H4 methylation (H4M) modification in the TME and immune regulation of hepatocellular carcinoma (HCC) is unknown. As a result, the purpose of this research is to discover H4M-mediated modification patterns and their effects on TME and immunologic characteristics in HCC. A total of 2305 samples were enrolled from 13 different cohorts. With the help of consensus clustering analysis, three distinct H4M modification patterns were identified. The cell-infiltrating characteristics of TME under these three patterns were highly consistent with their enriched biological processes and clinical outcome. The H4Mscore was then created using principal component analysis algorithm to quantify the H4M modification pattern of each individual tumor and was systematically correlated with representative tumor characteristics. We found that analyzing H4M modification patterns within individual tumors could predict TME infiltration, homologous recombination deficiency (HRD), intratumor heterogeneity, proliferation activity, mRNA stemness index, and prognosis. The group with a low H4Mscore had an inflamed TME phenotype and a better immunotherapy response, as well as a better survival outcome. The prognostic value of H4Mscore was validated in three internal cohorts and five external cohorts, respectively. In external immunotherapy cohorts, the low H4Mscore was also linked to an enhanced response to anti-PD-1/L1 and anti-CTLA4 immunotherapy and a better prognosis. This study revealed that H4M modification played an important role in forming TME diversity and complexity. Evaluating the H4M modification pattern of individual tumors could help us learn more about TME and develop more effective immunotherapy strategies.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAlgorithmsDNA MethylationHistonesHumansPrognosisTumor MicroenvironmentHistonesHepatocellular carcinomaHistone H4 methylationImmunotherapy biomarkerMolecular subtypeTumor microenvironment

Identifiers

PMID36932439
PMCPMC10024435
OpenAlexW4327723905

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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 OpenQuestion graph.