Evidence map›Paper›PMID 42129668›Full record

ArticleBMC gastroenterology2026

ADGRF4 and ADGRL4 as novel prognostic biomarkers and potential therapeutic implications in stomach adenocarcinoma.

Jia-Hui Wang, Ming-Jun Li, Dan-Dan Zang, Xiao-Wei Wang, Peng Huang

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Article in BMC gastroenterology, 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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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

5 authors.

Jia-Hui WangDepartment of General Surgery, Anshan Central Hospital, Anshan, China.
Ming-Jun LiDepartment of General Surgery, Panjin Central Hospital, No. 32 Liaohe Middle Road, Xinglongtai District, Panjin, China.
Dan-Dan ZangDepartment of Pathology, Panjin Central Hospital, Panjin, China.
Xiao-Wei WangDepartment of General Surgery, Panjin Central Hospital, No. 32 Liaohe Middle Road, Xinglongtai District, Panjin, China.
Peng HuangDepartment of General Surgery, Panjin Central Hospital, No. 32 Liaohe Middle Road, Xinglongtai District, Panjin, China. huangpeng1822@qq.com.

Funding

2022 Panjin Natural Science Foundation Program Guiding Program Project 2022YL008
6 · The paper itself

Abstract

backgroundThis study explored the differential expression of adhesion G protein-coupled receptor (ADGR) genes in stomach adenocarcinoma (STAD), evaluated their association with STAD prognosis, and explored their potential therapeutic implications.

methodsThe gene expression profiles of STAD and normal gastric tissues were obtained from TCGA and GTEx databases and analyzed using the DEseq2 R package. External validation was performed using three GEO datasets. Co-expression patterns of ADGRF4 and ADGRL4 with immune-related molecules were analyzed using Spearman correlation. The prognostic values of ADGRs were evaluated using multivariate Cox risk models and Kaplan-Meier survival analyses. The tumor microenvironment composition and immune infiltration were analyzed using the ESTIMATE R package and CIBERSORT algorithm. GO and KEGG enrichment analyses were performed using DAVID. Immunohistochemistry was conducted to validate gene expression in 50 pairs of STAD and adjacent normal tissues. Drug sensitivity was analyzed using the oncoPredict R package.

resultsADGRF4 and ADGRL4 were significantly upregulated in STAD tissues and independently associated with poor prognosis and the tumor microenvironment composition. Functional enrichment analysis revealed that ADGRF4 was primarily associated with epithelial development and neuroactive ligand-receptor interaction, whereas ADGRL4 was linked to extracellular matrix organization and calcium signaling pathways. Immunohistochemistry confirmed the significantly higher expression of both proteins in gastric cancer tissues than in normal tissues. External validation using GEO datasets confirmed the upregulation and prognostic significance of ADGRL4. Drug sensitivity analysis indicated that ADGRL4 expression was significantly correlated with sensitivity to the Chk1/Chk2 inhibitor AZD7762.

conclusionADGRF4 and ADGRL4 were significantly overexpressed in STAD and independently associated with poor prognosis. Expression of these genes was correlated with changes in tumor microenvironment and immune cell infiltration, indicating their potential association in STAD progression. These findings suggest that ADGRF4 and ADGRL4 could serve as novel prognostic biomarkers with potential therapeutic significance in gastric cancer.

Indexed as

AdenocarcinomaBiomarkers, TumorReceptors, G-Protein-CoupledStomach NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMalePrognosisTumor MicroenvironmentUp-RegulationBiomarkers, TumorReceptors, G-Protein-CoupledADGRF4ADGRL4Adhesion G protein-coupled receptorsStomach adenocarcinomaTumor microenvironment

Identifiers

PMID42129668
PMCPMC13339262

What Socratic holds

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LicenceCC BY-NC-ND
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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.