The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37588995", "kind": "science-record", "revision": 4, "content_hash": "sha256:207d200e86fb30d38ee68606c30d30b8310cd39370cadfe0ba7a1463001c8ba1", "created_at": "2026-11-01T19:02:23Z", "updated_at": "2026-11-01T22:10:06Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma.", "doi": "10.1515/biol-2022-0682", "pmid": "37588995", "authors": ["Zhengqiang Wan", "Yinglei Wang", "Cheng Li", "Dongbing Zheng"], "journal": "Open life sciences", "year": 2023, "abstract": "Bladder urothelial carcinoma (BLCA) is the most common malignant tumor of the urinary tract with a high lethality rate, and its immunotherapy resistance and tumor recurrence have become a major challenge in its clinical treatment. G Protein-Coupled Receptors (GPRs) are the largest family of receptors on the cell membrane surface, involved in multiple signaling pathways, and are excellent targets for oncology drug action. The transcriptome profile, single cell transcriptome profile, and clinical data of BLCA were extracted and integrated from TCGA and GEO databases, respectively. The GPR-related genes were obtained from GSEA-MSigDB database. The GPR-related gene signatures of 15 genes were constructed by using the methods of least absolute shrinkage and selection operator regression, multifactor Cox model. At the same time, tumor microenvironment (TME)-score signatures were constructed based on the immune microenvironment of BLCA, and GPR-TME-score signature was further constructed. The stability of this model was verified by using the external dataset GSE160693. We constructed risk groups by combining BLCA patient prognostic information, and with the help of BLCA scRNA transcriptome profiling, we explored differences in prognosis, immune scores, cell-cell interactions, tumor mutational burden, immune checkpoints, and response to immunotherapy in each risk group. We found that the GPR-TME-score signature was an independent prognostic factor for BLCA patients. the TME-score was a protective factor for the prognosis of BLCA patients. Among BLCA patients, GPR-high + TME-low risk group had the worst prognosis, while GPR-high + TME-high risk group had the best prognosis, and the latter had better immune score and immunotherapy response. The above differences in immune response among the subgroups may be related to the higher immune cell infiltration in the GPR-high + TME-high group. GPR-related gene signatures and TME are closely related to BLCA prognosis and immunotherapy, and GPR-related gene signature can be a useful tool to assess BLCA prognosis and immunotherapy response.", "claims": [{"id": "claim-method", "statement": "We collected the clinical characteristics (Age, T stage, and N stage) of BLCA patients in TCGA cohort and analyzed them together with GPR-TME-score by univariate and multivariate Cox regression to screen independent risk factors for BLCA prognosis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37588995", "locator": "sections[9] \"Independent prognostic analysis of the risk score\" paragraph 2", "quote": "We collected the clinical characteristics (Age, T stage, and N stage) of BLCA patients in TCGA cohort and analyzed them together with GPR-TME-score by univariate and multivariate Cox regression to screen independent risk factors for BLCA prognosis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37588995", "locator": "sections[24] \"Footnotes\" paragraph 2", "quote": "Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37588995"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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