Horizontal meta-analysis identifies common deregulated genes across AML subgroups providing a robust prognostic signature.

ABSTRACT: Advances in transcriptomics have improved our understanding of leukemic development and helped to enhance the stratification of patients. The tendency of transcriptomic studies to combine AML samples, regardless of cytogenetic abnormalities, could lead to bias in differential gene expression analysis because of the differential representation of AML subgroups. Hence, we performed a horizontal meta-analysis that integrated transcriptomic data on AML from multiple studies, to enrich the less frequent cytogenetic subgroups and to uncover common genes involved in the development of AML and response to therapy. A total of 28 Affymetrix microarray data sets containing 3940 AML samples were downloaded from the Gene Expression Omnibus database. After stringent quality control, transcriptomic data

SUBMITTER: Nehme A 

PROVIDER: S-EPMC7594391 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature