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HRA002693
   HRA002693.xlsx
Title:
Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia
Release date:
2022-12-20
Description:
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.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA010519
Study type:
Disease Study
Disease name:
acute myeloid leukemia
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
HDAC001538
DAC name:
Shanghai Institute of Hematology
Contact person:
Shen Yang
Email:
shen_yang@126.com
Description:
Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
Individuals & samples
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Submitter:   Shen Yang / shen_yang@126.com
Organization:   Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
Submission date:   2022-07-14
Requests:   12