DNA methylation epitypes highlight underlying developmental and disease pathways in acute myeloid leukemia.
DNA methylation epitypes highlight underlying developmental and disease pathways in acute myeloid leukemia.
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DOI:
10.1101/gr.269233.120
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发表时间:
2021-05
期刊:
影响因子:
7
通讯作者:
Oakes CC
中科院分区:
文献类型:
--
作者:
Giacopelli B;Wang M;Cleary A;Wu YZ;Schultz AR;Schmutz M;Blachly JS;Eisfeld AK;Mundy-Bosse B;Vosberg S;Greif PA;Claus R;Bullinger L;Garzon R;Coombes KR;Bloomfield CD;Druker BJ;Tyner JW;Byrd JC;Oakes CC
Acute myeloid leukemia (AML) is a molecularly complex disease characterized by heterogeneous tumor genetic profiles and involving numerous pathogenic mechanisms and pathways. Integration of molecular data types across multiple patient cohorts may advance current genetic approaches for improved subclassification and understanding of the biology of the disease. Here, we analyzed genome-wide DNA methylation in 649 AML patients using Illumina arrays and identified a configuration of 13 subtypes (termed “epitypes”) using unbiased clustering. Integration of genetic data revealed that most epitypes were associated with a certain recurrent mutation (or combination) in a majority of patients, yet other epitypes were largely independent. Epitypes showed developmental blockage at discrete stages of myeloid differentiation, revealing epitypes that retain arrested hematopoietic stem-cell-like phenotypes. Detailed analyses of DNA methylation patterns identified unique patterns of aberrant hyper- and hypomethylation among epitypes, with variable involvement of transcription factors influencing promoter, enhancer, and repressed regions. Patients in epitypes with stem-cell-like methylation features showed inferior overall survival along with up-regulated stem cell gene expression signatures. We further identified a DNA methylation signature involving STAT motifs associated with FLT3-ITD mutations. Finally, DNA methylation signatures were stable at relapse for the large majority of patients, and rare epitype switching accompanied loss of the dominant epitype mutations and reversion to stem-cell-like methylation patterns. These results show that DNA methylation-based classification integrates important molecular features of AML to reveal the diverse pathogenic and biological aspects of the disease.
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影响因子:
120.7
作者:
Gentles, Andrew J.;Plevritis, Sylvia K.;Majeti, Ravindra;Alizadeh, Ash A.
通讯作者:
Alizadeh, Ash A.
影响因子:
64.8
作者:
Ernst, Jason;Kheradpour, Pouya;Mikkelsen, Tarjei S.;Shoresh, Noam;Ward, Lucas D.;Epstein, Charles B.;Zhang, Xiaolan;Wang, Li;Issner, Robbyn;Coyne, Michael;Ku, Manching;Durham, Timothy;Kellis, Manolis;Bernstein, Bradley E.
通讯作者:
Bernstein, Bradley E.
影响因子:
28.2
作者:
Glass JL;Hassane D;Wouters BJ;Kunimoto H;Avellino R;Garrett-Bakelman FE;Guryanova OA;Bowman R;Redlich S;Intlekofer AM;Meydan C;Qin T;Fall M;Alonso A;Guzman ML;Valk PJM;Thompson CB;Levine R;Elemento O;Delwel R;Melnick A;Figueroa ME
通讯作者:
Figueroa ME
影响因子:
82.9
作者:
Guryanova OA;Shank K;Spitzer B;Luciani L;Koche RP;Garrett-Bakelman FE;Ganzel C;Durham BH;Mohanty A;Hoermann G;Rivera SA;Chramiec AG;Pronier E;Bastian L;Keller MD;Tovbin D;Loizou E;Weinstein AR;Gonzalez AR;Lieu YK;Rowe JM;Pastore F;McKenney AS;Krivtsov AV;Sperr WR;Cross JR;Mason CE;Tallman MS;Arcila ME;Abdel-Wahab O;Armstrong SA;Kubicek S;Staber PB;Gönen M;Paietta EM;Melnick AM;Nimer SD;Mukherjee S;Levine RL
通讯作者:
Levine RL
影响因子:
4.4
作者:
Bibikova, Marina;Barnes, Bret;Shen, Richard
通讯作者:
Shen, Richard