Evidence map›Paper›PMID 41257940›Full record

ArticleEuropean journal of medical research2025

Prognostic modeling and immune infiltration analysis in hepatocellular carcinoma using glutathione metabolism-associated genes.

Fuqiang Ma, LiLi, Ziyi Xu, Yingda Xie, Yanpin Ma, Penghui Li

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

6 authors.

Fuqiang Ma *Department of Integrated Traditional and Western Medicine, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan, China.
LiLi *Department of Emergency, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, Henan, China.
Ziyi XuHenan Key Laboratory of Cancer Epigenetics, Cancer Institute, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, No. 24 Jinghua Road, Jianxi District, Luoyang, 471003, Henan, China.
Yingda XieHenan Key Laboratory of Cancer Epigenetics, Cancer Institute, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, No. 24 Jinghua Road, Jianxi District, Luoyang, 471003, Henan, China.
Yanpin MaHenan Key Laboratory of Cancer Epigenetics, Cancer Institute, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, No. 24 Jinghua Road, Jianxi District, Luoyang, 471003, Henan, China. mypdemail@126.com.
Penghui LiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, No. 24 Jinghua Road, Jianxi District, Luoyang, 471000, Henan, China. lph0819@163.com.

Funding

Science and Technology Research Project of Henan Province(252102311048) 252102311048
6 · The paper itself

Abstract

backgroundGlutathione (GSH) plays a central role in multiple physiological processes, including the maintenance of intracellular redox homeostasis and the detoxification of xenobiotics. While previous studies have linked GSH metabolism to the pathogenesis and treatment of hepatocellular carcinoma (HCC), systematic analysis of the expression profiles of GSH metabolism-related genes in HCC and their consistent correlation with patient prognosis remains insufficiently addressed.

methodsIn this study, the ribonucleic acid sequencing (RNA-seq) data and clinical information data of HCC were downloaded from public databases. Following Cox regression and consensus clustering analyses, three GSH metabolism-related subtypes with differential survival probability and immune infiltration status were identified in patients with HCC. Next, CDCA8, KIF20A, TRNP1, and ADH4 were chosen to establish a prognostic model.

resultsCompared with those in the low-risk group, patients with high-risk scores exhibited poor survival probability, higher immune scores, decreased benefit from immunotherapy and poor drug sensitivity.

conclusionsIn summary, this study established a prognostic risk model for HCC based on GSH metabolism-related genes, which could predict the prognosis and characterize immune infiltration status of HCC. This study may contribute to the identification of potential prognostic targets and the development of new clinical management strategies for HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularGlutathioneLiver NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorGlutathioneGlutathione metabolismHepatocellular carcinomaImmune infiltrationPrognostic model

Identifiers

PMID41257940
PMCPMC12628571

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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.