Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37816979", "kind": "science-record", "revision": 3, "content_hash": "sha256:e4524dc165db4a9b91068d82e8f80025bbcb53c0bdf4d6b34859fc4d3ac3551a", "created_at": "2026-11-01T19:02:40Z", "updated_at": "2026-11-01T21:31:42Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes.", "doi": "10.1007/s12672-023-00795-z", "pmid": "37816979", "authors": ["Chengcun Zhu", "Zhou Sun", "Jie Wang", "Xiangdi Meng", "Zhaosen Ma", "Rui Guo", "Jiqiang Niu", "Lisa Jia Tran", "Jing Zhang", "Tianxiao Jiang", "Yunfei Liu", "Fangdie Ye", "Baoluo Ma"], "journal": "Discover oncology", "year": 2023, "abstract": "G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok!", "claims": [{"id": "claim-method", "statement": "Based on the collected G protein-coupled receptor-related genes (GRPs), multi-factor cox regression analysis and prognostic models were constructed using the survival package and glmnet package, respectively, to select the GRPs associated with the prognosis of renal clear cell carcinoma and the best of them were selected by optimization using the bootstrap method.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37816979", "locator": "sections[4] \"Construction and optimization of prognostic models\" paragraph 2", "quote": "Based on the collected G protein-coupled receptor-related genes (GRPs), multi-factor cox regression analysis and prognostic models were constructed using the survival package and glmnet package, respectively, to select the GRPs associated with the prognosis of renal clear cell carcinoma and the best of them were selected by optimization using the bootstrap method."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We sincerely appreciate all members who participated in data collection and analysis. 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