期刊
BIOMED RESEARCH INTERNATIONAL
卷 2014, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2014/423174
关键词
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资金
- ANR emergence (ETTMM)
- FEDER [141786, 42667]
- ARC [SFI20121205949]
- INCa-Canceropole GSO [2012-011 et 2012-E14]
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 NRIP1 and TCF7 gene expression enabled the identification of three clinically distinct groups of CLL patients. Therefore, this GE-based risk score represents a powerful tool for risk stratification and outcome prediction of CLL patients and could thus be used to guide clinical and therapeutic decisions prospectively.
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