{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["22(4)"],"submitter":["Chen JW"],"pubmed_abstract":["The progression and therapeutic response of clear cell renal cell carcinoma (ccRCC) are critically shaped by the complex interactions between tumor cell heterogeneity and the tumor immune microenvironment (TIME). However, a comprehensive classification of the ccRCC ecosystem and its clinical relevance is lacking. To address this, we utilized comprehensive bioinformatics approaches to analyze ten public single-cell RNA sequencing datasets from 194 samples across 118 ccRCC patients. Across 1,172,154 cells, we identified four TIME subtypes (immune activation, innate immunity, immunosuppressive myeloid [ISM], and immune exclusion) and six functional states of tumor cells (metabolic, angiogenic, stress-responsive, antigen-presenting, cell cycling, and epithelial-mesenchymal transition [EMT]). T"],"journal":["International journal of biological sciences"],"pagination":["1807-1833"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12905587"],"repository":["biostudies-literature"],"pubmed_title":["FKBP10 promotes M2 polarization of macrophage via MEK/ERK/CXCL8 axis and facilitates tumor progression in clear cell renal cell carcinoma."],"pmcid":["PMC12905587"],"pubmed_authors":["Fu LM","Chen JW","Deng Q","Luo JH","Li JY","Wang YH","Wang JY","Lin HS","Zhou XW","Liang H","Wei JH","Feng HQ","Liu KZ","Chen YH","Gui CP","Wang Z","Jin MY"],"additional_accession":[]},"is_claimable":false,"name":"FKBP10 promotes M2 polarization of macrophage via MEK/ERK/CXCL8 axis and facilitates tumor progression in clear cell renal cell carcinoma.","description":"The progression and therapeutic response of clear cell renal cell carcinoma (ccRCC) are critically shaped by the complex interactions between tumor cell heterogeneity and the tumor immune microenvironment (TIME). However, a comprehensive classification of the ccRCC ecosystem and its clinical relevance is lacking. To address this, we utilized comprehensive bioinformatics approaches to analyze ten public single-cell RNA sequencing datasets from 194 samples across 118 ccRCC patients. Across 1,172,154 cells, we identified four TIME subtypes (immune activation, innate immunity, immunosuppressive myeloid [ISM], and immune exclusion) and six functional states of tumor cells (metabolic, angiogenic, stress-responsive, antigen-presenting, cell cycling, and epithelial-mesenchymal transition [EMT]). T","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026","modification":"2026-07-15T21:33:54.66Z","creation":"2026-07-09T10:13:36.856Z"},"accession":"S-EPMC12905587","cross_references":{"pubmed":["41694575"],"doi":["10.7150/ijbs.117535"]}}