Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia.
Proceedings of the National Academy of Sciences of the United States of America(2022)
摘要
The current classification of acute myeloid leukemia (AML) relies largely on genomic alterations. Robust identification of clinically and biologically relevant molecular subtypes from nongenomic high-throughput sequencing data remains challenging. We established the largest multicenter AML cohort (n = 655) in China, with all patients subjected to RNA sequencing (RNA-Seq) and 619 (94.5%) to targeted or whole-exome sequencing (TES/WES). Based on an enhanced consensus clustering, eight stable gene expression subgroups (G1-G8) with unique clinical and biological significance were identified, including two unreported (G5 and G8) and three redefined ones (G4, G6, and G7). Apart from four well-known low-risk subgroups including
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关键词
RNA-Seq,acute myeloid leukemia,cell differentiation,drug sensitivity,molecular classification
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