Evidence map›Paper›PMID 39762768›Full record

ArticleBMC cancer2025

Molecular subtype of gastric cancer based on apoptosis-related genes reveals differential immune microenvironment and intratumoral microorganisms distribution.

Xuan Yu, Yongfu Shao, Haotian Dong, Jianing Yan, Xinjun Zhang, Guoliang Ye

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 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.

Xuan Yu *Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, 315020, China.
Yongfu Shao *Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, 315020, China. fyshaoyongfu@nbu.edu.cn.
Haotian DongHealth Science Center, Ningbo University, Ningbo, 315211, China.
Jianing YanDepartment of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, 315020, China.
Xinjun ZhangDepartment of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, 315020, China.
Guoliang YeDepartment of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, 315020, China.

Funding

Key Scientific and Technological Projects of Ningbo 2021Z133Key Scientific and Technological Projects of Ningbo 2022Z130Ningbo Top Medical and Health Research Program 2023020612
6 · The paper itself

Abstract

backgroundGastric cancer (GC) is known for its high heterogeneity, presenting challenges in current clinical treatment strategies. Accurate subtyping and in-depth analysis of the molecular heterogeneity of GC at the molecular level are still not fully understood.

methodsThis study categorized GC into two subtypes based on apoptosis-related genes (ARGs) and investigated differences in tumor immune microenvironment, intratumoral microorganisms distribution, gene expression, and signaling pathways. Key prognostic genes related to apoptosis in GC were identified through random survival forest analysis, and their specific signaling mechanisms were explored. Expression levels of key genes were validated through PCR in paired GC tissues and cancer cell lines. Moreover, biological functions of these key genes were verified in vitro experiments.

resultsA consistent clustering of GC was conducted using 161 apoptosis-related genes (ARGs), resulting in the identification of two subtypes, C1 and C2. Subsequently, significant differences were found in the tumor immune microenvironment, intratumoral microorganisms, gene expression, signaling pathways, and protein interaction networks between the two subtypes. GPX3, PLAT, and CAV1 were identified as key prognostic genes related to apoptosis in GC, with a focus on their impact on disease progression-related pathways. Furthermore, PCR assays validated that these three key genes exhibited significantly low expression levels in both GC cell lines and tissues. Finally, knocking down key genes expression significantly promoted cell proliferation, colony formation and invasion of GC.

conclusionsOur study conducted a comprehensive analysis of the molecular characteristics of ARGs in GC, revealed their association with the tumor immune microenvironment and intratumoral microorganisms. These findings provide new ideas for the molecular classification of GC.

Indexed as

ApoptosisStomach NeoplasmsTumor MicroenvironmentBiomarkers, TumorCell Line, TumorCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisSignal TransductionBiomarkers, TumorApoptosisGastric cancerImmune microenvironmentIntratumoral microorganismsMolecular subtype

Identifiers

PMID39762768
PMCPMC11702164

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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.