Evidence map›Paper›PMID 42856656›Full record

ArticleFrontiers in immunology2026

A palmitoylation-associated three-gene signature predicts prognosis, immune features, and drug sensitivity in gastric cancer: functional validation of CTHRC1.

Hongmei Sheng, Xuejun Li, Chen Zhang, Miaomiao Song, Juan Xu, Jun Ma

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Article in Frontiers in immunology, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hongmei ShengSecond Department of Geriatrics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Xuejun LiSecond Department of Geriatrics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Chen ZhangPeking University Shenzhen Hospital/School of Clinical Medicine, Hubei University of Medicine, Shiyan, Hubei, China.
Miaomiao SongDepartment of Encephalopathy, The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Juan XuDepartment of Oncology, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.
Jun MaSecond Department of Geriatrics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastric cancer (GC) is a heterogeneous malignancy that requires improved molecular tools for prognostic stratification. Protein palmitoylation regulates membrane localization and signaling, but the clinical relevance of palmitoylation-related genes (PRGs) in GC remains unclear. Methods: Gene Expression Omnibus, The Cancer Genome Atlas, and GeneCards data were integrated to identify PRGs. Differential expression analysis, weighted gene co-expression network analysis, and three machine-learning algorithms were used to select key genes. Diagnostic and prognostic performance was evaluated in TCGA-STAD, platform-specific GEO cohorts, and an institutional cohort of 80 paired tissues. Immune infiltration, single-cell RNA sequencing, immunotherapy-related indices, and GDSC-based drug sensitivity were analyzed. CTHRC1 was further examined using clinical specimens, cell assays, and xenografts. Results: Thirteen differentially expressed PRGs were identified, and SERPINE1, CTHRC1, and EGR1 were selected. The integrated diagnostic model achieved AUCs of 0.935 in TCGA-STAD, 1.000 in GSE54129, and 0.916 in GSE118916, respectively. The three-gene score stratified overall survival in the total, training, and testing TCGA-STAD cohorts and in GSE84437, GSE236522, and the institutional cohort. It remained independently associated with survival in multivariable analysis. High-risk tumors showed increased stromal and immune scores, altered immune-cell composition, higher checkpoint expression, and higher TIDE scores. Single-cell analysis localized SERPINE1 and CTHRC1 mainly to fibroblast-related compartments. CTHRC1 knockdown reduced GC-cell proliferation, clonogenicity, migration, invasion, and xenograft growth while increasing apoptosis. Conclusion: The SERPINE1/CTHRC1/EGR1 signature provides prognostic and immune-stromal information in GC, and the experiments support a tumor-promoting role for CTHRC1. The findings define a palmitoylation-associated transcriptional framework but do not establish a palmitoylation-dependent mechanism.

Indexed as

Biomarkers, TumorDrug Resistance, NeoplasmExtracellular Matrix ProteinsLipoylationStomach NeoplasmsAnimalsCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicePlasminogen Activator Inhibitor 1PrognosisTranscriptomeBiomarkers, TumorCTHRC1 protein, humanExtracellular Matrix ProteinsPlasminogen Activator Inhibitor 1drug sensitivitygastric cancerpalmitoylation-associated genesprognosistumor microenvironment

Identifiers

PMID42856656
PMCPMC13649694

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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 Socratic graph.