The transcriptome‐wide landscape of molecular subtype‐specific mRNA expression profiles in acute myeloid leukemia
Year: 2021
Type: article
Abstract: 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.
Source: American Journal of Hematology
DOI: 10.1002/ajh.26141
Authors: Tian Mou, Yudi Pawitan, Matthias Stahl, Mattias Vesterlund, Wenjiang Deng, Rozbeh Jafari, Anna Bohlin, Albin Österroos, Loannis Siavelis, Helena Bäckvall, Tom Erkers, Santeri Kiviluoto, Brinton Seashore‐Ludlow, Päivi Östling, Lukas M. Orre, Olli Kallioniemi, Sören Lehmann, Janne Lehtiö, Trung Nghia Vu
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Awards: G1441096865, Precisionsmedicin för optimering av terapier i AML, G1983157848, G2061701933, G2903271315, G3321450376, Predicting drug responses of tumours by deep learning technologies with application in Acute Myeloid Leukemia, G712881263, Individual systems medicine ecosystem for development of novel treatments in aging related cancers, G796431723
OpenAlex ID: W3132876579