Evidence map›Paper›PMID 38472339›Full record

ArticleGenes and immunity2024

RNA processing modification mediated subtypes illustrate the distinctive features of tumor microenvironment in hepatocellular carcinoma.

Xinhui Li, Shan Liu, Laibin Zou, Min Dai, Chaobei Zhu

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Article in Genes and immunity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xinhui Li *Department of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, PR China.
Shan Liu *Department of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, PR China.
Laibin Zou *Department of Hepatobiliary and Pancreatic Surgery, Huadu District People´s Hospital of Guangzhou, The Third School of Clinical Medicine, Southern Medical University, Guangzhou, 510800, China.
Min DaiDepartment of Traditional Chinese Medicine and Allergy, The third affiliated hospital of Sun Yet-sen University, Guangzhou, 510800, China. 3024839883@qq.com.
Chaobei ZhuDepartment of Gastroenterology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, PR China. zhucb@aliyun.com.ORCID 0009-0006-8371-3058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple transcript isoforms of genes can be formed by processing and modifying the 5' and 3' ends of RNA. Herein, the aim of this study is to uncover the characteristics of RNA processing modification (RPM) in hepatocellular carcinoma (HCC), and to identify novel biomarkers and potential targets for treatment. Firstly, integrated bioinformatics analysis was carried out to identify risk prognostic RPM regulators (RPMRs). Then, we used these RPMRs to identify subtypes of HCC and explore differences in immune microenvironment and cellular function improvement pathways between the sub-types. Finally, we used the principal component analysis algorithms to estimate RPMscore, which were applied to 5 cohorts. Lower RPMscore among patients correlated with a declined survival rate, increased immune infiltration, and raised expression of immune checkpoints, aligning with the "immunity tidal model theory". The RPMscore exhibited robust, which was validated in multiple datasets. Mechanistically, low RPMscore can create an immunosuppressive microenvironment in HCC by manipulating tumor-associated macrophages. Preclinically, patients with high RPMscore might benefit from immunotherapy. The RPMscore is helpful in clustering HCC patients with distinct prognosis and immunotherapy. Our RPMscore model can help clinicians to select personalized therapy for HCC patients, and RPMscore may act a part in the development of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansImmunotherapyRNA Processing, Post-TranscriptionalTumor Microenvironment

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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.