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Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes
Chengcun Zhu1, Zhou Sun2, Jie Wang2,3
1Department of Urology, The First People's Hospital of Jiangxia District, Wuhan, 430200, Hubei, China.
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!
Insights
This study explores G protein-coupled receptors (GPCRs) in renal clear cell carcinoma, identifying their role in prognosis and developing a predictive disease model for targeted therapies.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- G protein-coupled receptors (GPCRs) are crucial cell membrane regulators of biological processes.
- The prognostic significance of GPCRs in renal clear cell carcinoma (ccRCC) remains largely unexplored.
Purpose of the Study:
- To investigate the role of GPCR-related genes in ccRCC diagnosis and prognosis.
- To establish a predictive disease model for personalized therapeutic strategies in ccRCC patients.
Main Methods:
- Utilized TCGA and GEO databases for transcriptome and clinical data analysis.
- Performed GSEA, WGCNA, single-cell RNA sequencing, and mutation analyses.
- Validated findings through cellular experiments.
Main Results:
- Identified GPCR-related genes with potential diagnostic and prognostic value in ccRCC.
- Developed a novel disease model for ccRCC stratification.
- Demonstrated the reliability of findings via cellular experiments.
Conclusions:
- GPCR-related genes play a significant role in ccRCC progression and patient outcomes.
- The established disease model offers a promising tool for targeted therapy selection in ccRCC.
- Further research into GPCRs could lead to improved ccRCC management.
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