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ABSTRACT: Background
While immune cells are pivotal in clear cell renal cell carcinoma (ccRCC), functional alterations of specific subsets and their prognostic implications remain unclear. We aimed to identify key immune cells, characterize their functional states, and develop a prognostic model by integrating single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (RNA-seq) data.Methods
scRNA-seq dataset GSE210038 was analyzed to annotate tumor-infiltrating immune cells. Key immune cells were identified from deconvolved The Cancer Genome Atlas-Kidney Renal Clear Cell Carcinoma (TCGA-KIRC) and Gene Expression Omnibus Series (GSE)105261 datasets using support vector machine-recursive feature elimination (SVM-RFE), least absolute shrinkage and selection operator (LASSO), and ran
SUBMITTER: Wu Y
PROVIDER: S-EPMC12611398 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature