Literature DB >> 32938585

Somatic Mutations Drive Specific, but Reversible, Epigenetic Heterogeneity States in AML.

Sheng Li1,2,3,4, Xiaowen Chen5, Jiahui Wang5, Cem Meydan6, Jacob L Glass7, Alan H Shih8, Ruud Delwel9, Ross L Levine10, Christopher E Mason6, Ari M Melnick11.   

Abstract

Epigenetic allele diversity is linked to inferior prognosis in acute myeloid leukemia (AML). However, the source of epiallele heterogeneity in AML is unknown. Herein we analyzed epiallele diversity in a genetically and clinically annotated AML cohort. Notably, AML driver mutations linked to transcription factors and favorable outcome are associated with epigenetic destabilization in a defined set of susceptible loci. In contrast, AML subtypes linked to inferior prognosis manifest greater abundance and highly stochastic epiallele patterning. We report an epiallele outcome classifier supporting the link between epigenetic diversity and treatment failure. Mouse models with TET2 or IDH2 mutations show that epiallele diversity is especially strongly induced by IDH mutations, precedes transformation to AML, and is enhanced by cooperation between somatic mutations. Furthermore, epiallele complexity was partially reversed by epigenetic therapies in AML driven by TET2/IDH2, suggesting that epigenetic therapy might function in part by reducing population complexity and fitness of AMLs. SIGNIFICANCE: We show for the first time that epigenetic clonality is directly linked to specific mutations and that epigenetic allele diversity precedes and potentially contributes to malignant transformation. Furthermore, epigenetic clonality is reversible with epigenetic therapy agents.This article is highlighted in the In This Issue feature, p. 1775. ©2020 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2020        PMID: 32938585      PMCID: PMC7710625          DOI: 10.1158/2159-8290.CD-19-0897

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   38.272


  48 in total

1.  Pbx1 regulates self-renewal of long-term hematopoietic stem cells by maintaining their quiescence.

Authors:  Francesca Ficara; Mark J Murphy; Min Lin; Michael L Cleary
Journal:  Cell Stem Cell       Date:  2008-05-08       Impact factor: 24.633

2.  NFATc1 as a therapeutic target in FLT3-ITD-positive AML.

Authors:  S K Metzelder; C Michel; M von Bonin; M Rehberger; E Hessmann; S Inselmann; M Solovey; Y Wang; K Sohlbach; C Brendel; T Stiewe; J Charles; A Ten Haaf; V Ellenrieder; A Neubauer; S Gattenlöhner; M Bornhäuser; A Burchert
Journal:  Leukemia       Date:  2015-04-14       Impact factor: 11.528

3.  A clinical measure of DNA methylation predicts outcome in de novo acute myeloid leukemia.

Authors:  Marlise R Luskin; Phyllis A Gimotty; Catherine Smith; Alison W Loren; Maria E Figueroa; Jenna Harrison; Zhuoxin Sun; Martin S Tallman; Elisabeth M Paietta; Mark R Litzow; Ari M Melnick; Ross L Levine; Hugo F Fernandez; Selina M Luger; Martin Carroll; Stephen R Master; Gerald B W Wertheim
Journal:  JCI Insight       Date:  2016-06-16

4.  MDS and secondary AML display unique patterns and abundance of aberrant DNA methylation.

Authors:  Maria E Figueroa; Lucy Skrabanek; Yushan Li; Anchalee Jiemjit; Tamer E Fandy; Elisabeth Paietta; Hugo Fernandez; Martin S Tallman; John M Greally; Hetty Carraway; Jonathan D Licht; Steven D Gore; Ari Melnick
Journal:  Blood       Date:  2009-08-03       Impact factor: 22.113

5.  Evolution of acute myelogenous leukemia stem cell properties after treatment and progression.

Authors:  Tzu-Chieh Ho; Mark LaMere; Brett M Stevens; John M Ashton; Jason R Myers; Kristen M O'Dwyer; Jane L Liesveld; Jason H Mendler; Monica Guzman; Jennifer D Morrissette; Jianhua Zhao; Eunice S Wang; Meir Wetzler; Craig T Jordan; Michael W Becker
Journal:  Blood       Date:  2016-07-15       Impact factor: 22.113

6.  Leukemic IDH1 and IDH2 mutations result in a hypermethylation phenotype, disrupt TET2 function, and impair hematopoietic differentiation.

Authors:  Maria E Figueroa; Omar Abdel-Wahab; Chao Lu; Patrick S Ward; Jay Patel; Alan Shih; Yushan Li; Neha Bhagwat; Aparna Vasanthakumar; Hugo F Fernandez; Martin S Tallman; Zhuoxin Sun; Kristy Wolniak; Justine K Peeters; Wei Liu; Sung E Choe; Valeria R Fantin; Elisabeth Paietta; Bob Löwenberg; Jonathan D Licht; Lucy A Godley; Ruud Delwel; Peter J M Valk; Craig B Thompson; Ross L Levine; Ari Melnick
Journal:  Cancer Cell       Date:  2010-12-09       Impact factor: 38.585

7.  EntropyExplorer: an R package for computing and comparing differential Shannon entropy, differential coefficient of variation and differential expression.

Authors:  Kai Wang; Charles A Phillips; Arnold M Saxton; Michael A Langston
Journal:  BMC Res Notes       Date:  2015-12-30

8.  Nuclear factor of activated T-cells, NFATC1, governs FLT3ITD-driven hematopoietic stem cell transformation and a poor prognosis in AML.

Authors:  Maria Solovey; Ying Wang; Christian Michel; Klaus H Metzeler; Tobias Herold; Joachim R Göthert; Volker Ellenrieder; Elisabeth Hessmann; Stefan Gattenlöhner; Andreas Neubauer; Dinko Pavlinic; Vladimir Benes; Oliver Rupp; Andreas Burchert
Journal:  J Hematol Oncol       Date:  2019-07-08       Impact factor: 17.388

9.  Aberration in DNA methylation in B-cell lymphomas has a complex origin and increases with disease severity.

Authors:  Subhajyoti De; Rita Shaknovich; Markus Riester; Olivier Elemento; Huimin Geng; Matthias Kormaksson; Yanwen Jiang; Bruce Woolcock; Nathalie Johnson; Jose M Polo; Leandro Cerchietti; Randy D Gascoyne; Ari Melnick; Franziska Michor
Journal:  PLoS Genet       Date:  2013-01-10       Impact factor: 5.917

10.  BloodChIP: a database of comparative genome-wide transcription factor binding profiles in human blood cells.

Authors:  Diego Chacon; Dominik Beck; Dilmi Perera; Jason W H Wong; John E Pimanda
Journal:  Nucleic Acids Res       Date:  2013-10-31       Impact factor: 16.971

View more
  6 in total

Review 1.  Epialleles and epiallelic heterogeneity in hematological malignancies.

Authors:  Leonidas Benetatos; Agapi Benetatou; Georgios Vartholomatos
Journal:  Med Oncol       Date:  2022-07-14       Impact factor: 3.738

2.  Isocitrate dehydrogenase mutations are associated with altered IL-1β responses in acute myeloid leukemia.

Authors:  Kathryn I Sunthankar; Matthew T Jenkins; Candace H Cote; Sweta B Patel; Robert S Welner; P Brent Ferrell
Journal:  Leukemia       Date:  2021-12-02       Impact factor: 12.883

Review 3.  Dissecting the Genetic and Non-Genetic Heterogeneity of Acute Myeloid Leukemia Using Next-Generation Sequencing and In Vivo Models.

Authors:  Rhea H Desai; Niloofar Zandvakili; Stefan K Bohlander
Journal:  Cancers (Basel)       Date:  2022-04-27       Impact factor: 6.575

4.  DNA methylation-calling tools for Oxford Nanopore sequencing: a survey and human epigenome-wide evaluation.

Authors:  Yang Liu; Wojciech Rosikiewicz; Ziwei Pan; Nathaniel Jillette; Ping Wang; Aziz Taghbalout; Jonathan Foox; Christopher Mason; Martin Carroll; Albert Cheng; Sheng Li
Journal:  Genome Biol       Date:  2021-10-18       Impact factor: 17.906

Review 5.  Metabolic adaptations in cancers expressing isocitrate dehydrogenase mutations.

Authors:  Ingvild Comfort Hvinden; Tom Cadoux-Hudson; Christopher J Schofield; James S O McCullagh
Journal:  Cell Rep Med       Date:  2021-12-21

6.  Non-genetic stratification reveals epigenetic heterogeneity and identifies vulnerabilities of glycolysis addiction in lung adenocarcinoma subtype.

Authors:  Xuming Song; Te Zhang; Hanlin Ding; Yipeng Feng; Wenmin Yang; Xuewen Yin; Bing Chen; Yingkuan Liang; Qixing Mao; Wenjie Xia; Guiping Yu; Lin Xu; Gaochao Dong; Feng Jiang
Journal:  Oncogenesis       Date:  2022-10-10       Impact factor: 6.524

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.