| HRA002693
(Controlled Access)
|
RNA sequencing (RNA-Seq) data hold great potential for further refining the genome-based molecular classification of acute myeloid leukemia (AML). We established the largest multi-center AML cohort (n = 655) with RNA-Seq data in China. Based on an enhanced consensus clustering strategy of gene expression, eight robust molecular subgroups (G1-G8) with distinct biological and clinical relevance were identified, namely PML::RARA (G1), CBFB::MYH11 (G2), RUNX1::RUNX1T1 (G3), biCEBPA/-like (G4), myelodysplasia-related/-like (G5), HOX-committed (G6), and HOX-primitive (G7), and HOX-mixed (G8). Notably, these molecular subgroups demonstrated different cellular composition and differentiation stages, which were convincingly reproduced in both Beat AML and TCGA AML cohorts, indicating different prognostic value and drug response. We anticipate that the establishment of transcriptome-based molecular subgroups will facilitate precise classification and rational therapeutic decision-making in AML. |
