Evidence map›Paper›PMID 41930144›Full record

ArticleOncology research2026

Single-Cell and Multi-Omics-Based Characterization of Gastric Cancer Identifies TPP1 as a Potential Target for Gastric Cancer Progression and Treatment.

Yingying Zhao, Jiakang Ma, Rujin Huang, Shuxian Pan

Abstract read
In one paragraph

Article in Oncology research, 2026. 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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yingying ZhaoDepartment of Oncology, Yueyang People's Hospital of Hunan Normal University, Yueyang, China.
Jiakang MaDepartment of Oncology, Yueyang People's Hospital of Hunan Normal University, Yueyang, China.
Rujin HuangDepartment of Oncology, Yueyang People's Hospital of Hunan Normal University, Yueyang, China.
Shuxian PanDepartment of Oncology, Yueyang People's Hospital of Hunan Normal University, Yueyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer-associated fibroblasts (CAFs) play critical roles in tumor progression and immunosuppression; however, their contribution to the functional classification and personalized treatment of gastric cancer remains poorly defined. This study aimed to identify effective therapeutic targets to facilitate individualized treatment strategies for patients with gastric cancer. Methods: Single-cell and bulk transcriptomic analyses were integrated to characterize gastric cancer fibroblasts. " Results: Eight fibroblast subpopulations associated with gastric cancer metastasis exhibited distinct differentiation trajectories and transcriptional heterogeneity. Prognostic analysis indicated that metastasis-associated fibroblasts correlated with poor clinical outcomes. The high-risk subgroup showed marked immunosuppression, resistance to immunotherapy, and reduced mutational burden, with tumor progression-related pathways significantly enriched in this group. Conclusion: This study characterized the heterogeneity of gastric cancer-associated fibroblasts using single-cell transcriptomic analysis and established a prognostic model based on metastasis-related fibroblast markers. The model demonstrated strong predictive performance for patient prognosis, immune landscape, and immunotherapy response. Furthermore, the findings highlighted the pivotal role of TPP1 in gastric cancer progression and its potential as a therapeutic target.

Indexed as

AminopeptidasesCancer-Associated FibroblastsDipeptidyl-Peptidases and Tripeptidyl-PeptidasesSerine ProteasesStomach NeoplasmsBiomarkers, TumorCell Line, TumorDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiomicsPrognosisShelterin ComplexSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisAminopeptidasesBiomarkers, TumorDipeptidyl-Peptidases and Tripeptidyl-PeptidasesSerine ProteasesShelterin Complexcancer-associated fibroblastsGastric cancermulti-omics analysissingle-cell RNA sequencingtumor microenvironment

Identifiers

PMID41930144
PMCPMC13040347

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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.