Prognostic and predictive value of a mRNA signature in peripheral T-cell lymphomas: A mRNA expression analysis.

ABSTRACT: Current international prognostic index is widely questioned on the risk stratification of peripheral T-cell lymphoma and does not accurately predict the outcome for patients. We postulated that multiple mRNAs could combine into a model to improve risk stratification and helping clinicians make treatment decisions. In this study, the gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was used to screening genes in selected module which most closely related to PTCLs, and then built a mRNA signature using a LASSO Cox regression model and validated the prognostic accuracy of it. Finally, a nomogram was constructed and the performance was assessed. A total of 799 WGCNA-selected mRNAs in black module were

SUBMITTER: Tu J 

PROVIDER: S-EPMC7810961 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature