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Single cell mutational profiling delineates clonal trajectories in myeloid malignancies

Authors :
Tiffany R. Merlinsky
Aaron D Goldberg
Minal Patel
Kelly L. Bolton
Pedro Mendez
Robert Durruthy-Durruthy
Ahmet Zehir
Sara E. Meyer
Robert L. Bowman
Linde A. Miles
Chrysanthi Ainali
Michael Bowman
Aik Ooi
Raajit K. Rampal
Christopher Famulare
Aaron D. Viny
Isabelle S. Csete
Mani Manivannan
Sombeet Sahu
Ross L. Levine
Martin Carroll
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

SummaryMyeloid malignancies, including acute myeloid leukemia (AML), arise from the proliferation and expansion of hematopoietic stem and progenitor cells which acquire somatic mutations. Bulk molecular profiling studies on patient samples have suggested that somatic mutations are obtained in a step-wise fashion, where mutant genes with high variant allele frequencies (VAFs) are proposed to occur early in disease development and mutations with lower VAFs are thought to be acquired later in disease progression1–3. Although bulk sequencing informs leukemia biology and prognostication, it cannot distinguish which mutations occur in the same clone(s), accurately measure clonal complexity and clone size, or offer definitive evidence of mutational order. To elucidate the clonal framework of myeloid malignancies, we performed single cell mutational profiling on 146 samples from 123 patients. We found AML is most commonly comprised of a small number of dominant clones, which in many cases harbor co-occurring mutations in epigenetic regulators. Conversely, mutations in signaling genes often occur more than once in distinct subclones consistent with increasing clonal diversity. We also used these data to map the clonal trajectory of each patient and found that specific mutation combinations (FLT3-ITD + NPM1c) synergize to promote clonal expansion and dominance. We combined cell surface protein expression with single cell mutational analysis to map somatic genotype and clonal architecture with immunophenotype. Our studies of clonal architecture at a single cell level provide novel insights into the pathogenesis of myeloid transformation and how clonal complexity contributes to disease progression.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....7fdd16fc3f63eb06972f92cb9aba4e55
Full Text :
https://doi.org/10.1101/2020.02.07.938860