{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Miao D"],"funding":["National Natural Science Foundation of China"],"pagination":["66"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8822671"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(1)"],"pubmed_abstract":["Background
Clear cell renal cell carcinoma (ccRCC) is one of the most lethal malignancies in the urinary system and the existing immunotherapy has not achieved satisfactory outcomes. Therefore, this study aims at establishing a novel gene signature for immune infiltration and clinical outcome (overall survival and immunotherapy responsiveness) in ccRCC patients.Methods
Based on RNA sequencing data and clinical information in The Cancer Genome Atlas (TCGA) database, we calculated proportions of immune cells in 611 samples using an online tool CIBERSORTx. Multivariate survival analysis was conducted to determine crucial survival-associated immune cells and immune-infiltration-related genes (IIRGs). Next, the clinical specimens and common renal cancer cell lines were applied t"],"journal":["Cancer cell international"],"pubmed_title":["As a prognostic biomarker of clear cell renal cell carcinoma RUFY4 predicts immunotherapy responsiveness in a PDL1-related manner."],"pmcid":["PMC8822671"],"funding_grant_id":["81902588","81874090","81972630"],"pubmed_authors":["Yang H","Xiong Z","Miao D","Xie K","Zhang X","Xiao W","Shi J","Meng X","Lv Q"],"additional_accession":[]},"is_claimable":false,"name":"As a prognostic biomarker of clear cell renal cell carcinoma RUFY4 predicts immunotherapy responsiveness in a PDL1-related manner.","description":"Background
Clear cell renal cell carcinoma (ccRCC) is one of the most lethal malignancies in the urinary system and the existing immunotherapy has not achieved satisfactory outcomes. Therefore, this study aims at establishing a novel gene signature for immune infiltration and clinical outcome (overall survival and immunotherapy responsiveness) in ccRCC patients.Methods
Based on RNA sequencing data and clinical information in The Cancer Genome Atlas (TCGA) database, we calculated proportions of immune cells in 611 samples using an online tool CIBERSORTx. Multivariate survival analysis was conducted to determine crucial survival-associated immune cells and immune-infiltration-related genes (IIRGs). Next, the clinical specimens and common renal cancer cell lines were applied t","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Feb","modification":"2025-04-04T08:41:13.249Z","creation":"2024-11-13T10:33:52.393Z"},"accession":"S-EPMC8822671","cross_references":{"pubmed":["35135552"],"doi":["10.1186/s12935-022-02480-7"]}}