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.
CITATION STYLE
Mou, T., Pawitan, Y., Stahl, M., Vesterlund, M., Deng, W., Jafari, R., … Vu, T. N. (2021). The transcriptome-wide landscape of molecular subtype-specific mRNA expression profiles in acute myeloid leukemia. American Journal of Hematology, 96(5), 580–588. https://doi.org/10.1002/ajh.26141
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