Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics.
Kiyomi MoritaFeng WangKatharina JahnTianyuan HuTomoyuki TanakaYuya SasakiJack KuipersSanam LoghaviSa A WangYuanqing YanKen FurudateJairo MatthewsLatasha LittleCurtis GumbsJianhua ZhangXingzhi SongErika ThompsonKeyur P PatelCarlos E Bueso-RamosCourtney D D DiNardoFarhad RavandiElias JabbourMichael AndreeffJorge E CortesKapil BhallaGuillermo Garcia ManeroHagop KantarjianMarina Y KonoplevaDaisuke NakadaNicholas NavinNiko BeerenwinkelP Andrew FutrealKoichi TakahashiPublished in: Nature communications (2020)
Clonal diversity is a consequence of cancer cell evolution driven by Darwinian selection. Precise characterization of clonal architecture is essential to understand the evolutionary history of tumor development and its association with treatment resistance. Here, using a single-cell DNA sequencing, we report the clonal architecture and mutational histories of 123 acute myeloid leukemia (AML) patients. The single-cell data reveals cell-level mutation co-occurrence and enables reconstruction of mutational histories characterized by linear and branching patterns of clonal evolution, with the latter including convergent evolution. Through xenotransplantion, we show leukemia initiating capabilities of individual subclones evolving in parallel. Also, by simultaneous single-cell DNA and cell surface protein analysis, we illustrate both genetic and phenotypic evolution in AML. Lastly, single-cell analysis of longitudinal samples reveals underlying evolutionary process of therapeutic resistance. Together, these data unravel clonal diversity and evolution patterns of AML, and highlight their clinical relevance in the era of precision medicine.
Keyphrases
- single cell
- acute myeloid leukemia
- high throughput
- rna seq
- allogeneic hematopoietic stem cell transplantation
- cell surface
- end stage renal disease
- genome wide
- chronic kidney disease
- ejection fraction
- cell free
- mesenchymal stem cells
- newly diagnosed
- single molecule
- circulating tumor
- prognostic factors
- copy number
- dna methylation
- data analysis
- smoking cessation
- cell therapy