Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/102077
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dc.contributor.authorLi, S.-
dc.contributor.authorGarrett-Bakelman, F.E.-
dc.contributor.authorChung, S.S.-
dc.contributor.authorSanders, M.A.-
dc.contributor.authorHricik, T.-
dc.contributor.authorRapaport, F.-
dc.contributor.authorPatel, J.-
dc.contributor.authorDillon, R.-
dc.contributor.authorVijay, P.-
dc.contributor.authorBrown, A.L.-
dc.contributor.authorPerl, A.E.-
dc.contributor.authorCannon, J.-
dc.contributor.authorBullinger, L.-
dc.contributor.authorLuger, S.-
dc.contributor.authorBecker, M.-
dc.contributor.authorLewis, I.D.-
dc.contributor.authorTo, L.B.-
dc.contributor.authorDelwel, R.-
dc.contributor.authorLöwenberg, B.-
dc.contributor.authorDöhner, H.-
dc.contributor.authoret al.-
dc.date.issued2016-
dc.identifier.citationNature Medicine, 2016; 22(7):792-799-
dc.identifier.issn1078-8956-
dc.identifier.issn1546-170X-
dc.identifier.urihttp://hdl.handle.net/2440/102077-
dc.descriptionPublished online 20 June 2016-
dc.description.abstractGenetic 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.-
dc.description.statementofresponsibilitySheng Li ... Anna L Brown ... Ian D Lewis, Luen Bik To ... Richard J D’Andrea ... et al.-
dc.language.isoen-
dc.publisherNature Publishing Group-
dc.rights© 2016 Nature America, Inc. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1038/nm.4125-
dc.subjectHumans-
dc.subjectDisease Progression-
dc.subjectCytosine-
dc.subjectPrognosis-
dc.subjectSurvival Rate-
dc.subjectMultivariate Analysis-
dc.subjectProportional Hazards Models-
dc.subjectSequence Analysis, DNA-
dc.subjectSequence Analysis, RNA-
dc.subjectEvolution, Molecular-
dc.subjectDNA Methylation-
dc.subjectEpigenesis, Genetic-
dc.subjectGene Expression Regulation, Leukemic-
dc.subjectCpG Islands-
dc.subjectGenetic Heterogeneity-
dc.subjectAlleles-
dc.subjectAdult-
dc.subjectMiddle Aged-
dc.subjectFemale-
dc.subjectMale-
dc.subjectLeukemia, Myeloid, Acute-
dc.subjectPromoter Regions, Genetic-
dc.subjectHigh-Throughput Nucleotide Sequencing-
dc.titleDistinct evolution and dynamics of epigenetic and genetic heterogeneity in acute myeloid leukemia-
dc.typeJournal article-
dc.identifier.doi10.1038/nm.4125-
pubs.publication-statusPublished-
dc.identifier.orcidBrown, A.L. [0000-0002-9023-0138]-
Appears in Collections:Aurora harvest 3
Pathology publications

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