Heterogeneity in refractory acute myeloid leukemia

被引:37
|
作者
Horibata, Sachi [1 ]
Gui, Gege [2 ]
Lack, Justin [3 ,4 ]
DeStefano, Christin B. [2 ,5 ]
Gottesman, Michael M. [1 ]
Hourigan, Christopher S. [2 ]
机构
[1] NCI, Cell Biol Lab, NIH, Bldg 37, Bethesda, MD 20892 USA
[2] NHLBI, Lab Myeloid Malignancies, NIH, Bethesda, MD 20814 USA
[3] NIAID, Collaborat Bioinformat Resource, NIH, 9000 Rockville Pike, Bethesda, MD 20892 USA
[4] NCI, Adv Biomed Computat Sci, Frederick Natl Lab Canc Res, Frederick, MD 21702 USA
[5] Uniformed Serv Univ Hlth Sci, Dept Med, Room A3060, Bethesda, MD 20814 USA
关键词
acute myeloid leukemia; cancer heterogeneity; drug resistance; MULTICENTER PHASE-II; COMPLETE REMISSION; CYTOSINE-ARABINOSIDE; RESPONSE MEASURES; DRUG-RESISTANCE; NPM1; MUTATIONS; INDUCTION; FLAVOPIRIDOL; RISK; CHEMOTHERAPY;
D O I
10.1073/pnas.1902375116
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Successful clinical remission to therapy for acute myeloid leukemia (AML) is required for long-term survival to be achieved. Despite trends in improved survival due to better supportive care, up to 40% of patients will have refractory disease, which has a poorly understood biology and carries a dismal prognosis. The development of effective treatment strategies has been hindered by a general lack of knowledge about mechanisms of chemotherapy resistance. Here, through transcriptomic analysis of 154 cases of treatment-naive AML, three chemorefractory patient groups with distinct expression profiles are identified. A classifier, four key refractory gene signatures (RG4), trained based on the expression profile of the highest risk refractory patients, validated in an independent cohort (n = 131), was prognostic for overall survival (OS) and refined an established 17-gene stemness score. Refractory subpopulations have differential expression in pathways involved in cell cycle, transcription, translation, metabolism, and/or stem cell properties. Ex vivo drug sensitivity to 122 small-molecule inhibitors revealed effective group-specific targeting of pathways among these three refractory groups. Gene expression profiling by RNA sequencing had a suboptimal ability to correctly predict those individuals resistant to conventional cytotoxic induction therapy, but could risk-stratify for OS and identify subjects most likely to have superior responses to a specific alternative therapy. Such personalized therapy may be studied prospectively in clinical trials.
引用
收藏
页码:10494 / 10503
页数:10
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