Evidence map›Paper›PMID 39251810›Full record

ArticleScientific reports2024

System analysis based on T-cell exhaustion-related genes identifies PTPRT as a promising diagnostic and prognostic biomarker for gastric cancer.

Jianli Wu, Le Li, Zhenyun Cheng

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Article in Scientific reports, 2024. 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

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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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5 · Who and what money

Authors and funding

3 authors.

Jianli WuMedical School, Huanghe S&T University, No. 666 Zijingshan South Road, Zhengzhou, 450015, Henan, People's Republic of China.
Le LiMedical School, Huanghe S&T University, No. 666 Zijingshan South Road, Zhengzhou, 450015, Henan, People's Republic of China.
Zhenyun ChengMedical School, Huanghe S&T University, No. 666 Zijingshan South Road, Zhengzhou, 450015, Henan, People's Republic of China. czy828026@126.com.

Funding

Online open course in medical chemistry, Henan Provincial Department of Education ZLG202029
6 · The paper itself

Abstract

Multiple investigations have demonstrated the crucial involvement of T-cell exhaustion (TEX) in anti-tumor immune response and their strong correlation with prognosis. This study aimed at creating a strong signature using TEX for gastric cancer through bioinformatics analysis and experimental validation. We utilized data from The Cancer Genome Atlas (TCGA) databases to retrieve RNA-seq data from patients with stomach adenocarcinoma (STAD). Genes related to TEX were discovered using gene set variance analysis (GSVA) and weighted gene correlation network analysis (WGCNA). Subsequently, prognostic signature based on TEX was developed using LASSO-Cox analysis. Relationship between key genes and immune cells were examined. Finally, biological function of a key TEX-related gene PTPRT in gastric cancer was verified by in vivo experiment. A total of 29 TEX-related biomarkers were screened by WGCNA and random forest. Among them, five core signatures (PTPRT, CAV2, PPIH, PRDM2, and FGF1), further identified by LASSO-Cox, were considered as strong predictors of prognosis for gastric cancer and associated with immune infiltration. PTPRT gene had the largest number of SNPs, with the most mutation types. In vivo experiments revealed that PTPRT overexpression significantly inhibited tumor malignant progression and accelerated apoptosis through stimulating the secretion of killer cytokines such as TNF-α and IFN-γ. In addition, flow cytometry revealed that PTPRT overexpression alleviated TEX by increasing the abundance of CD8+ T cells, with inhibition of cell surface PD-1 and Tim-3. The predictive prognostic value of TEX gene expression levels was evaluated in patients with gastric cancer, providing a new perspective for precision immuno-oncology studies.

Indexed as

Biomarkers, TumorStomach NeoplasmsAnimalsComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicePrognosisT-Cell ExhaustionT-LymphocytesBiomarkers, TumorGastric cancerImmune microenvironmentPrognosisPTPRTT-cell exhaustion

Identifiers

PMID39251810
PMCPMC11384728

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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.