Mou T, Pawitan Y, Stahl M, Vesterlund M, Deng W, Jafari R, Bohlin A, Österroos A, Siavelis L, Bäckvall H, Erkers T, Kiviluoto S, Seashore-Ludlow B, Östling P, Orre LM, Kallioniemi O, Lehmann S, Lehtiö J, Vu TN
Am. J. Hematol. 96 (5) 580-588 [2021-05-01; online 2021-03-10]
Molecular classification of acute myeloid leukemia (AML) aids prognostic stratification and clinical management. Our aim in this study is to identify transcriptome-wide mRNAs that are specific to each of the molecular subtypes of AML. We analyzed RNA-sequencing data of 955 AML samples from three cohorts, including the BeatAML project, the Cancer Genome Atlas, and a cohort of Swedish patients to provide a comprehensive transcriptome-wide view of subtype-specific mRNA expression. We identified 729 subtype-specific mRNAs, discovered in the BeatAML project and validated in the other two cohorts. Using unique proteomics data, we also validated the presence of subtype-specific mRNAs at the protein level, yielding a rich collection of potential protein-based biomarkers for the AML community. To enable the exploration of subtype-specific mRNA expression by the broader scientific community, we provide an interactive resource to the public.
Bioinformatics Support for Computational Resources [Service]
PubMed 33625756
DOI 10.1002/ajh.26141
Crossref 10.1002/ajh.26141