Skip to content
Open access

Transcriptomic Profiling of Adhesion GPCRs in Pancreatic Adenocarcinoma Identifies ADGRG7 and ADGRF1 as Novel Diagnostic Biomarkers and Therapeutic Targets

Aug 2026 · Anticancer Research · Vol 46, pp. 4841 - 4858 · 0 citations · 38 references
Medicine

TL;DR

A highly distinct aGPCR dysregulation signature characterized by the massive upregulation of ADGRG7 and ADGRF1 is identified within the PAAD microenvironment, highlighting them as promising diagnostic biomarkers and actionable therapeutic targets for overcoming TME-mediated immunosuppression.

Abstract

Background/Aim: Pancreatic adenocarcinoma (PAAD) is characterized by a desmoplastic, profoundly immunosuppressive tumor microenvironment (TME). Adhesion G protein-coupled receptors (aGPCRs) regulate cell-matrix interactions and immune modulation, yet their specific roles in PAAD remain poorly understood. This study aimed to identify novel tumor-specific aGPCRs and define their functional and immunological landscape. Materials and Methods: Transcriptomic profiles from The Cancer Genome Atlas (TCGA)-PAAD (n=178+4) and the Genotype-Tissue Expression (GTEx)-Pancreas (n=165) cohorts were integrated. Following rigorous batch-effect correction via multi-factor generalized linear modeling, we performed differential expression analysis, biological validation, and functional enrichment (KEGG, GSEA). Immune infiltration was quantified using marker-gene signature scoring, and prognostic weight was assessed via age-adjusted Cox proportional hazards regression. Results: We identified a highly distinct aGPCR dysregulation signature characterized by the massive upregulation of ADGRG7 (log2FC=+3.46, padj=1.92×10−5) and ADGRF1 (log2FC=+2.36, padj=4.10×10−5) alongside the depletion of the macrophage marker ADGRE1. Survival analyses revealed an uncoupling of diagnostic specificity from prognostic weight; unlike ADGRG6, neither ADGRG7 nor ADGRF1 acted as standalone prognostic predictors, suggesting they are uniformly essential neoplastic drivers. Within the PAAD “immune desert,” ADGRG7 positively correlated with residual Th1 niches, whereas ADGRF1 exhibited a distinct myeloid-exclusion phenotype. Conclusion: ADGRG7 and ADGRF1 are foundational, highly tumor-specific aGPCRs within the PAAD microenvironment. Their unique immune correlation profiles and uniform expression highlight them as promising diagnostic biomarkers and actionable therapeutic targets for overcoming TME-mediated immunosuppression.

Read PDF

Similar papers

Open access Sep 2026

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

The SERPINE1/CTHRC1/EGR1 signature provides prognostic and immune-stromal information in GC, and the experiments support a tumor-promoting role for CTHRC1, which defines a palmitoylation-associated transcriptional framework but do not establish a palmitoylation-dependent mechanism.

Hong-Mei Sheng, Xue-Jun Li, Chen Zhang et al. · 0 citations
Aug 2026

Multi-omics integration and functional validation identify thrombospondin-1 as a functionally relevant mediator of doramectin-associated inhibition of glioblastoma migration and invasion.

RNA sequencing of DRM-treated versus control rat C6 glioma cells identified 3747 differentially expressed genes, including 1660 upregulated and 2087 downregulated genes, with thrombospondin-1 markedly downregulated after DRM treatment, which may contribute to the anti-invasive effects of DRM.

Hefei Liu, Hong-Sheng Liang, Liwei Wang et al. · 0 citations
Open access Sep 2026

Multi-omics characterization of anoikis-related hub genes and macrophage-centered immune persistence with validation of HAVCR2 in atherosclerosis

A macrophage-centered anoikis-related immune signature in atherosclerosis is defined and HAVCR2 is identified, together with CD36, PLAU, TNF, PYCARD, SERPINA1, BLNK, and CHI3L1, as potential biomarkers and candidate targets for future diagnostic and therapeutic investigation.

Qiang Shen, Zheng-Feng Fan, Jin-Cheng Hou et al. · 0 citations
Open access Sep 2026

Integrative bioinformatics screening of a M2 macrophage-associated gene signature for osimertinib resistance

Introduction Although the third-generation epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) Osimertinib is widely used in lung adenocarcinoma (LUAD), acquired resistance to this agent remains a major clinical challenge perplexing the academic community. While the genomic drivers of osimertinib resi...

Ya-Jie Huang, Yao-Zhong Zhang, Jian Shi · 0 citations
Sep 2026

Identification of anoikis-related and cell matrix adhesion genes in the progression of colon adenocarcinoma using bioinformatics analysis.

To develop an innovative prognostic model for colon adenocarcinoma (COAD), we integated anoikis- and cell matrix adhesion (CMA related mechanisms using TCGA and GEO datasets. Six genes (BST2, NAT1, OFCC1, HOTAIR, TRIP6, ADAMTS13) were identified, risk model stratified patients into high- and low risk groups with distin...

Ting Zheng, Xing-Xing Li, Li Zhou et al. · 0 citations
Open access Aug 2026

Integrated multi-omics analysis and functional experiments reveals PPAP2C as a potential prognostic biomarker and therapeutic target in breast cancer

PPAP2C exhibits the most significant overexpression pattern across 33 cancer types and was significantly associated with advanced clinical stages and aggressive subtypes (HER2+ and TNBC).

Xiao-Xi Lin, Li-Hang Cen, Si-Hui Yue et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.