生物
髓系白血病
分类
计算生物学
微小残留病
疾病
突变
生物信息学
进化生物学
遗传学
基因
白血病
癌症研究
内科学
医学
计算机科学
人工智能
作者
Masayuki Umeda,Jing Ma,Tamara Westover,Yonghui Ni,Guangchun Song,Jamie L. Maciaszek,Michael Rusch,Delaram Rahbarinia,Scott G. Foy,Benjamin J. Huang,Michael Walsh,Priyadarshini Kumar,Yanling Liu,Wenjian Yang,Yiping Fan,Gang Wu,Sharyn D. Baker,Xiaotu Ma,Lu Wang,Todd A. Alonzo,Jeffrey E. Rubnitz,Stanley Pounds,Jeffery M. Klco
出处
期刊:Nature Genetics
[Springer Nature]
日期:2024-01-11
卷期号:56 (2): 281-293
被引量:29
标识
DOI:10.1038/s41588-023-01640-3
摘要
Abstract Recent studies on pediatric acute myeloid leukemia (pAML) have revealed pediatric-specific driver alterations, many of which are underrepresented in the current classification schemas. To comprehensively define the genomic landscape of pAML, we systematically categorized 887 pAML into 23 mutually distinct molecular categories, including new major entities such as UBTF or BCL11B , covering 91.4% of the cohort. These molecular categories were associated with unique expression profiles and mutational patterns. For instance, molecular categories characterized by specific HOXA or HOXB expression signatures showed distinct mutation patterns of RAS pathway genes, FLT3 or WT1 , suggesting shared biological mechanisms. We show that molecular categories were strongly associated with clinical outcomes using two independent cohorts, leading to the establishment of a new prognostic framework for pAML based on these updated molecular categories and minimal residual disease. Together, this comprehensive diagnostic and prognostic framework forms the basis for future classification of pAML and treatment strategies.
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