Evidence map›Paper›PMID 38536020›Full record

ArticleAging2024

Exploration of signature based on T cell-related genes in stomach adenocarcinoma by analysis of single cell sequencing data.

Huimei Wang, Nan An, Aiyue Pei, Yongxiao Sun, Shuo Li, Si Chen, Nan Zhang

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huimei WangDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, China.
Nan AnDepartment of Gastric Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Aiyue PeiDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, China.
Yongxiao SunDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, China.
Shuo LiDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, China.
Si ChenDepartment of Colorectal and Anal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China.
Nan ZhangDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is a leading reason for the death of cancer around the world. The immune microenvironment counts a great deal in immunotherapy of advanced tumors, in which T cells exert an indispensable function.

methodsSingle-cell RNA sequencing data were utilized to characterize the expression profile of T cells, followed by T cell-related genes (TCRGs) to construct signature and measure differences in survival time, enrichment pathways, somatic mutation status, immune status, and immunotherapy between groups.

resultsThe complex tumor microenvironment was analyzed by scRNA-seq data of GC patients. We screened for these T cell signature expression genes and the TCRGs-based signature was successfully constructed and relied on the riskscore grouping. In gene set enrichment analysis, it was shown that pro-tumor and suppressive immune pathways were more abundant in the higher risk group. We also found different infiltration of immune cells in two groups, and that the higher risk samples had a poorer response to immunotherapy.

conclusionOur study established a prognostic model, in which different groups had different prognosis, immune status, and enriched features. These results have provided additional insights into prognostic evaluation and the development of highly potent immunotherapies in GC.

Indexed as

AdenocarcinomaSingle-Cell AnalysisStomach NeoplasmsT-LymphocytesTumor MicroenvironmentAgedBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunotherapyMaleMiddle AgedPrognosisTranscriptomeBiomarkers, Tumorgastric cancerimmune microenvironmentimmunotherapyprognosissingle-cell sequencing

Identifiers

PMID38536020
PMCPMC11042963

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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.