Preleukemic clonal evolution revealed using single-cell DNA sequencing and computational modelling
Preleukemic clonal evolution revealed using single-cell DNA sequencing and computational modelling
复制标题
使用单细胞 DNA 测序和计算模型揭示白血病前期克隆进化
DOI:
10.1101/2023.12.15.571872
复制
发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Blundell J
中科院分区:
文献类型:
--
作者:
Blundell J
The acquisition of cancer driver mutations can predate diagnosis by decades. However, our understanding of the evolution that occurs in these early stages of cancer remains limited because most studies focus only on sequencing the malignant clone that" wins" the evolutionary race. The representation of driver mutations in the stem cells which do not transform into the malignant clone provides a window into this precancerous evolution. Here, we isolate preleukemic haematopoietic stem cells (pHSCs) from the bone marrow of 16 patients with Acute Myeloid Leukaemia (AML) and perform single-cell DNA sequencing on thousands of pHSCs to reconstruct phylogenetic trees for the preleukemic evolution in each patient. In the majority of cases AML required the acquisition of 3 or 4 driver mutations in the same cell lineage. However the reconstructed phylogenetic trees are highly variable across the 16 patients. The structure of the trees and the sizes of intermediate preleukemic clones encode important information about the roles of selection, mutation and genetic drift operating during precancerous evolution. Using simulations and machine learning approaches, we show that the highly variable patterns observed in pHSC trees emerge naturally from a model of somatic evolution in which there is strong positive selection acting throughout the entire multi-hit trajectory towards AML. We infer that the acquisition of each driver mutation provides an additional selective advantage of~ 15% per year to pHSC clones relative to their immediate ancestors. Using these inferred levels of positive selection we show that individuals destined to develop AML late in life are likely to harbour multiple-mutant clones that have arisen anomalously early in life. Our findings suggest that the identification of a single HSC carrying 2 driver mutations in early adulthood may provide a rational strategy to identify individuals at high risk of AML progression.