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Clonal Evolution of Acute Myeloid Leukemia Revealed by High-Throughput Single-Cell Genomics

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NIAID Data Ecosystem2026-03-12 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE156934
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Clonal diversity contributes to treatment resistance and cancer recurrence. Precise delineation of clonal substructure is essential to understand the resistance mechanism, however, bulk DNA sequencing cannot accurately resolve the complex clonal architectures. Here we report the single-cell DNA sequencing of 123 acute myeloid leukemia (AML) patients and provide cell-level evidence of co-occurrence and mutual exclusivity among driver mutations. Reconstruction of tumor phylogeny uncovers linear and branching clonal evolution patterns, with the latter involving functional convergence. Single-cell DNA sequencing of xenotransplanted samples reveales clonal diversity in leukemia initiating cell populations. Simultaneous single-cell profiling of mutations and cell surface proteins provides cellular genotype-phenotype associations. Analysis of longitudinal samples visualizes the behavior of each individual clone in response to therapy, illustrating the underlying evolutionary process of therapeutic resistance and disease recurrence. Together, these data portray clonal diversity, architecture, and evolution of AML, and highlight their clinical relevance in the era of precision medicine. Genomic DNA from 40 samples in which scDNA-seq data showed at least 5% of homozygously mutated clones were analyzed.
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2020-12-08
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