癌症的体细胞进化
表观遗传学
髓样
生物
遗传学
突变
癌症研究
克隆选择
免疫分型
等位基因
髓系白血病
种系突变
基因
体细胞
免疫学
流式细胞术
作者
Linde A. Miles,Robert L. Bowman,Tiffany R. Merlinsky,Isabelle Csete,Aik T. Ooi,Robert Durruthy-Durruthy,Michael Bowman,Christopher Famulare,Minal Patel,Pedro Méndez,Chrysanthi Ainali,Benjamin Demaree,Cyrille L. Delley,Adam R. Abate,Manimozhi Manivannan,Sombeet Sahu,Aaron D. Goldberg,Kelly L. Bolton,Ahmet Zehir,Raajit K. Rampal
出处
期刊:Nature
[Springer Nature]
日期:2020-10-28
卷期号:587 (7834): 477-482
被引量:493
标识
DOI:10.1038/s41586-020-2864-x
摘要
Myeloid malignancies, including acute myeloid leukaemia (AML), arise from the expansion of haematopoietic stem and progenitor cells that acquire somatic mutations. Bulk molecular profiling has suggested that mutations are acquired in a stepwise fashion: mutant genes with high variant allele frequencies appear early in leukaemogenesis, and mutations with lower variant allele frequencies are thought to be acquired later1–3. Although bulk sequencing can provide information about leukaemia biology and prognosis, it cannot distinguish which mutations occur in the same clone(s), accurately measure clonal complexity, or definitively elucidate the order of mutations. To delineate the clonal framework of myeloid malignancies, we performed single-cell mutational profiling on 146 samples from 123 patients. Here we show that AML is dominated by a small number of clones, which frequently harbour co-occurring mutations in epigenetic regulators. Conversely, mutations in signalling genes often occur more than once in distinct subclones, consistent with increasing clonal diversity. We mapped clonal trajectories for each sample and uncovered combinations of mutations that synergized to promote clonal expansion and dominance. Finally, we combined protein expression with mutational analysis to map somatic genotype and clonal architecture with immunophenotype. Our findings provide insights into the pathogenesis of myeloid transformation and how clonal complexity evolves with disease progression. The evolution of myeloid malignancies is investigated using combined single-cell sequencing and immunophenotypic analysis.
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