{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bou Samra E"],"funding":["ANR emergence (ETTMM)"],"pagination":["423174"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4026849"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["2014"],"pubmed_abstract":["Despite the improvement in treatment options, chronic lymphocytic leukemia (CLL) remains an incurable disease and patients show a heterogeneous clinical course requiring therapy for many of them. In the current work, we have built a 20-gene expression (GE)-based risk score predictive for patients overall survival and improving risk classification using microarray gene expression data. GE-based risk score allowed identifying a high-risk group associated with a significant shorter overall survival (OS) and time to treatment (TTT) (P ≤ .01), comprising 19.6% and 13.6% of the patients in two independent cohorts. GE-based risk score, and NRIP1 and TCF7 gene expression remained independent prognostic factors using multivariate Cox analyses and combination of GE-based risk score together with NRI"],"journal":["BioMed research international"],"pubmed_title":["Identification of a 20-gene expression-based risk score as a predictor of clinical outcome in chronic lymphocytic leukemia patients."],"pmcid":["PMC4026849"],"funding_grant_id":["2012-E14","141786","SFI20121205949","2012-011","42667"],"pubmed_authors":["Bou Samra E","Klein B","Commes T","Moreaux J"],"additional_accession":[]},"is_claimable":false,"name":"Identification of a 20-gene expression-based risk score as a predictor of clinical outcome in chronic lymphocytic leukemia patients.","description":"Despite the improvement in treatment options, chronic lymphocytic leukemia (CLL) remains an incurable disease and patients show a heterogeneous clinical course requiring therapy for many of them. In the current work, we have built a 20-gene expression (GE)-based risk score predictive for patients overall survival and improving risk classification using microarray gene expression data. GE-based risk score allowed identifying a high-risk group associated with a significant shorter overall survival (OS) and time to treatment (TTT) (P ≤ .01), comprising 19.6% and 13.6% of the patients in two independent cohorts. GE-based risk score, and NRIP1 and TCF7 gene expression remained independent prognostic factors using multivariate Cox analyses and combination of GE-based risk score together with NRI","dates":{"release":"2014-01-01T00:00:00Z","publication":"2014","modification":"2026-04-18T09:13:52.754Z","creation":"2019-03-27T01:28:32Z"},"accession":"S-EPMC4026849","cross_references":{"pubmed":["24883311"],"doi":["10.1155/2014/423174"]}}