Evidence map›Paper›PMID 35972694›Full record

ArticleJournal of cancer research and clinical oncology2023

m6A regulator-mediated methylation modification highlights immune infiltration patterns for predicting risk in hepatocellular carcinoma.

Dongkai Zhou, Yizhi Wang, Wei Wei, Wei Zhou, Jin Gu, Yang Kong, Qifan Yang, Yingsheng Wu

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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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 4 institutions in 1 country.

Dongkai Zhou *Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
Yizhi Wang *Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
Wei WeiDepartment of Hepatobiliary and Pancreatic Surgery, Shangyu People's Hospital of Shaoxin, Shaoxin, 312300, Zhejiang, China.
Wei ZhouDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
Jin GuDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
Yang KongDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
Qifan YangDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
Yingsheng WuDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China. drwuys@zju.edu.cn.
Zhejiang University · CNBlood Center of Zhejiang Province · CNZhejiang Medicine (China) · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2022501464
6 · The paper itself

Abstract

backgroundIncreasing studies have demonstrated the biological function of RNA N6-methyladenosine (m6A) modifications in tumorigenesis. However, the potential role of m6A modifications in the tumor immune microenvironment (TIME) of hepatocellular carcinoma (HCC) remains unclear.

methodsHerein, 23 m6A regulators were fetched and introduced into consensus clustering to identify distinct m6A modification patterns and develop m6A-based molecular signatures. Then, a principal component analysis algorithm was employed to construct an m6A-based scoring system to further quantify m6A modification patterns in individual tumors. Immunophenoscore (IPS) was used to estimate the immunotherapeutic response of patients.

resultsThree different m6A modification patterns with distinct prognoses and biological signatures were identified among 611 HCC samples. The TIME characteristics of these three patterns were consistent with three known immune profiles: immune-oasis, immune-excluded, and immune-inflamed phenotypes. Identifying m6A modification patterns within individual tumors based on the m6Ascore, developed under the m6A-related signature genes, contributed to elaborating biological processes, clinical outcomes, immune cell infiltration, immunotherapeutic effects, and genetic variations. The low-m6Ascore subtype, characterized by immunosuppression, suggested an immune-suppressed phenotype and a low probability of benefiting from immunotherapy. Finally, the potential function of PRDM4 in HCC was explored.

conclusionThis study comprehensively elucidated the indispensable role of m6A modification patterns in the complexity of TIME. The quantitative identification of m6A modification patterns in individual tumors will contribute to optimizing precision immunotherapy.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAdenosineHumansMethylationRNATumor MicroenvironmentAdenosineRNAHepatocellular carcinomaImmunotherapym6A modification patternsPRDM4Tumor immune microenvironmentTumor mutation burden

Identifiers

PMID35972694
PMCPMC11796951
OpenAlexW4292064960

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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.