Evidence map›Paper›PMID 38714987›Full record

ArticleBMC cancer2024

Comprehensive analysis of T-cell regulatory factors and tumor immune microenvironment in stomach adenocarcinoma.

Shuchang Wang, Weifeng Zhang, Xinrui Wu, Zhu Zhu, Yuanbiao Chen, Wangrui Liu, Junnfei Xu, Li Chen, Chun Zhuang

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Predictors of immunotherapy response in gastric cancer: the role of the tumor microenvironment and integrative predictive models.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

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

9 authors.

Shuchang Wang *Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Weifeng Zhang *Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Xinrui Wu *Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Zhu ZhuDepartment of Clinical Medicine, Medical School of Nantong University, Nantong, China.
Yuanbiao ChenDepartment of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Wangrui LiuDepartment of Interventional Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Junnfei XuDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China. xujunfeigs@126.com.
Li ChenDepartment of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China. lilian8177@126.com.
Chun ZhuangDepartment of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China. zhuangchun88@163.com.

Funding

engineering and medical science cooperation project of Shanghai Jiao Tong University YG2023QNA10Shanghai Anticancer Association EYAS PROJECT SACA-CY22801
6 · The paper itself

Abstract

backgroundGastric cancer (GC) is one of the most prevalent malignant tumors worldwide and is associated with high morbidity and mortality rates. However, the specific biomarkers used to predict the postoperative prognosis of patients with gastric cancer remain unknown. Recent research has shown that the tumor microenvironment (TME) has an increasingly positive effect on anti-tumor activity. This study aims to build signatures to study the effect of certain genes on gastric cancer.

methodsExpression profiles of 37 T cell-related genes and their TME characteristics were comprehensively analyzed. A risk signature was constructed and validated based on the screened T cell-related genes, and the roles of hub genes in GC were experimentally validated.

resultsA novel T cell-related gene signature was constructed based on CD5, ABCA8, SERPINE2, ESM1, SERPINA5, and NMU. The high-risk group indicated lower overall survival (OS), poorer immune efficacy, and higher drug resistance, with SERPINE2 promoting GC cell proliferation, according to experiments. SERPINE2 and CXCL12 were significantly correlated, indicating poor OS via the Youjiang cohort.

conclusionsThis study identified T cell-related genes in patients with stomach adenocarcinoma (STAD) for prognosis estimation and proposed potential immunotherapeutic targets for STAD.

Indexed as

AdenocarcinomaBiomarkers, TumorStomach NeoplasmsTumor MicroenvironmentFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisT-Lymphocytes, RegulatoryBiomarkers, TumorGastric CancerGene SignatureImmune InfiltrationImmunotherapyPrognostic marker

Identifiers

PMID38714987
PMCPMC11077837

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.