Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Distinct evolution and dynamics of epigenetic and genetic heterogeneity in acute myeloid leukemia
Author: Li, S.
Garrett-Bakelman, F.
Chung, S.
Sanders, M.
Hricik, T.
Rapaport, F.
Patel, J.
Dillon, R.
Vijay, P.
Brown, A.
Perl, A.
Cannon, J.
Bullinger, L.
Luger, S.
Becker, M.
Lewis, I.
To, L.
Delwel, R.
Löwenberg, B.
Döhner, H.
et al.
Citation: Nature Medicine, 2016; 22(7):792-799
Publisher: Nature Publishing Group
Issue Date: 2016
ISSN: 1078-8956
Statement of
Sheng Li ... Anna L Brown ... Ian D Lewis, Luen Bik To ... Richard J D’Andrea ... et al.
Abstract: Genetic heterogeneity contributes to clinical outcome and progression of most tumors, but little is known about allelic diversity for epigenetic compartments, and almost no data exist for acute myeloid leukemia (AML). We examined epigenetic heterogeneity as assessed by cytosine methylation within defined genomic loci with four CpGs (epialleles), somatic mutations, and transcriptomes of AML patient samples at serial time points. We observed that epigenetic allele burden is linked to inferior outcome and varies considerably during disease progression. Epigenetic and genetic allelic burden and patterning followed different patterns and kinetics during disease progression. We observed a subset of AMLs with high epiallele and low somatic mutation burden at diagnosis, a subset with high somatic mutation and lower epiallele burdens at diagnosis, and a subset with a mixed profile, suggesting distinct modes of tumor heterogeneity. Genes linked to promoter-associated epiallele shifts during tumor progression showed increased single-cell transcriptional variance and differential expression, suggesting functional impact on gene regulation. Thus, genetic and epigenetic heterogeneity can occur with distinct kinetics likely to affect the biological and clinical features of tumors.
Keywords: Humans; Disease Progression; Cytosine; Prognosis; Survival Rate; Multivariate Analysis; Proportional Hazards Models; Sequence Analysis, DNA; Sequence Analysis, RNA; Evolution, Molecular; DNA Methylation; Epigenesis, Genetic; Gene Expression Regulation, Leukemic; CpG Islands; Genetic Heterogeneity; Alleles; Adult; Middle Aged; Female; Male; Leukemia, Myeloid, Acute; Promoter Regions, Genetic; High-Throughput Nucleotide Sequencing
Description: Published online 20 June 2016
Rights: © 2016 Nature America, Inc. All rights reserved.
RMID: 0030050211
DOI: 10.1038/nm.4125
Appears in Collections:Pathology publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.