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Genomic analysis of cellular hierarchy in acute myeloid leukemia using ultrasensitive LC-FACSeq

Authors :
Tzyy-Jye Doong
Nicole Grieselhuber
Nyla A. Heerema
Gerard Lozanski
Cecelia R. Miller
Karilyn Larkin
Tierney Kauffman
Rosa Lapalombella
Arletta Lozanski
John C. Byrd
Clara D. Bloomfield
Casey Cempre
Shelley Orwick
Bhavana Bhatnagar
Alice S. Mims
Lynne V. Abruzzo
Gregory K. Behbehani
Eileen Hu
Virginia M. Goettl
Alison Walker
Steven Sher
Pu Zhang
Caner Saygin
Jordan N. Skinner
James S. Blachly
Jadwiga Labanowska
Deedra Nicolet
Source :
Leukemia
Publication Year :
2020

Abstract

Hematopoiesis is hierarchical, and it has been postulated that acute myeloid leukemia (AML) is organized similarly with leukemia stem cells (LSCs) residing at the apex. Limited cells acquired by fluorescence activated cell sorting in tandem with targeted amplicon-based sequencing (LC-FACSeq) enables identification of mutations in small subpopulations of cells, such as LSCs. Leveraging this, we studied clonal compositions of immunophenotypically-defined compartments in AML through genomic and functional analyses at diagnosis, remission and relapse in 88 AML patients. Mutations involving DNA methylation pathways, transcription factors and spliceosomal machinery did not differ across compartments, while signaling pathway mutations were less frequent in putative LSCs. We also provide insights into TP53-mutated AML by demonstrating stepwise acquisition of mutations beginning from the preleukemic hematopoietic stem cell stage. In 10 analyzed cases, acquisition of additional mutations and del(17p) led to genetic and functional heterogeneity within the LSC pool with subclones harboring varying degrees of clonogenic potential. Finally, we use LC-FACSeq to track clonal evolution in serial samples, which can also be a powerful tool to direct targeted therapy against measurable residual disease. Therefore, studying clinically significant small subpopulations of cells can improve our understanding of AML biology and offers advantages over bulk sequencing to monitor the evolution of disease.

Details

ISSN :
14765551
Volume :
35
Issue :
12
Database :
OpenAIRE
Journal :
Leukemia
Accession number :
edsair.doi.dedup.....7a7eae162980dfd0939ef606772acafd