Literature DB >> 22786882

Genome-wide methylation profiling in decitabine-treated patients with acute myeloid leukemia.

Pearlly Yan1, David Frankhouser, Mark Murphy, Hok-Hei Tam, Benjamin Rodriguez, John Curfman, Michael Trimarchi, Susan Geyer, Yue-Zhong Wu, Susan P Whitman, Klaus Metzeler, Alison Walker, Rebecca Klisovic, Samson Jacob, Michael R Grever, John C Byrd, Clara D Bloomfield, Ramiro Garzon, William Blum, Michael A Caligiuri, Ralf Bundschuh, Guido Marcucci.   

Abstract

The outcome of older (≥ 60 years) acute myeloid leukemia (AML) patients is poor, and novel treatments are needed. In a phase 2 trial for older AML patients, low-dose (20 mg/m(2) per day for 10 days) decitabine, a DNA hypomethylating azanucleoside, produced 47% complete response rate with an excellent toxicity profile. To assess the genome-wide activity of decitabine, we profiled pretreatment and post treatment (day 25/course 1) methylomes of marrow samples from patients (n = 16) participating in the trial using deep-sequencing analysis of methylated DNA captured by methyl-binding protein (MBD2). Decitabine significantly reduced global methylation compared with pretreatment baseline (P = .001). Percent marrow blasts did not correlate with global methylation levels, suggesting that hypomethylation was related to the activity of decitabine rather than to a mere decrease in leukemia burden. Hypomethylation occurred predominantly in CpG islands and CpG island-associated regions (P ranged from .03 to .04) A significant concentration (P < .001) of the hypomehtylated CpG islands was found in chromosome subtelomeric regions, suggesting a differential activity of decitabine in distinct chromosome regions. Hypermethylation occurred much less frequently than hypomethylation and was associated with low CpG content regions. Decitabine-related methylation changes were concordant with those previously reported in distinct genes. In summary, our study supports the feasibility of methylome analyses as a pharmacodynamic endpoint for hypomethylating therapies.

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Year:  2012        PMID: 22786882      PMCID: PMC3448258          DOI: 10.1182/blood-2012-05-429175

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  25 in total

1.  Active chromatin domains are defined by acetylation islands revealed by genome-wide mapping.

Authors:  Tae-Young Roh; Suresh Cuddapah; Keji Zhao
Journal:  Genes Dev       Date:  2005-02-10       Impact factor: 11.361

Review 2.  Epigenetics in acute myeloid leukemia.

Authors:  Christoph Plass; Christopher Oakes; William Blum; Guido Marcucci
Journal:  Semin Oncol       Date:  2008-08       Impact factor: 4.929

Review 3.  AML in older patients: are we making progress?

Authors:  Elihu Estey
Journal:  Best Pract Res Clin Haematol       Date:  2009-12       Impact factor: 3.020

4.  Clinical response and miR-29b predictive significance in older AML patients treated with a 10-day schedule of decitabine.

Authors:  William Blum; Ramiro Garzon; Rebecca B Klisovic; Sebastian Schwind; Alison Walker; Susan Geyer; Shujun Liu; Violaine Havelange; Heiko Becker; Larry Schaaf; Jon Mickle; Hollie Devine; Cheryl Kefauver; Steven M Devine; Kenneth K Chan; Nyla A Heerema; Clara D Bloomfield; Michael R Grever; John C Byrd; Miguel Villalona-Calero; Carlo M Croce; Guido Marcucci
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-05       Impact factor: 11.205

5.  TET2 mutations improve the new European LeukemiaNet risk classification of acute myeloid leukemia: a Cancer and Leukemia Group B study.

Authors:  Klaus H Metzeler; Kati Maharry; Michael D Radmacher; Krzysztof Mrózek; Dean Margeson; Heiko Becker; John Curfman; Kelsi B Holland; Sebastian Schwind; Susan P Whitman; Yue-Zhong Wu; William Blum; Bayard L Powell; Thomas H Carter; Meir Wetzler; Joseph O Moore; Jonathan E Kolitz; Maria R Baer; Andrew J Carroll; Richard A Larson; Michael A Caligiuri; Guido Marcucci; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2011-02-22       Impact factor: 44.544

Review 6.  Molecular genetics of adult acute myeloid leukemia: prognostic and therapeutic implications.

Authors:  Guido Marcucci; Torsten Haferlach; Hartmut Döhner
Journal:  J Clin Oncol       Date:  2011-01-10       Impact factor: 44.544

7.  A Scalable, Flexible Workflow for MethylCap-Seq Data Analysis.

Authors:  Benjamin Rodriguez; Hok-Hei Tam; David Frankhouser; Michael Trimarchi; Mark Murphy; Chris Kuo; Deval Parikh; Bryan Ball; Sebastian Schwind; John Curfman; William Blum; Guido Marcucci; Pearlly Yan; Ralf Bundschuh
Journal:  IEEE Int Workshop Genomic Signal Process Stat       Date:  2011

8.  DNMT3A mutations in acute myeloid leukemia.

Authors:  Timothy J Ley; Li Ding; Matthew J Walter; Michael D McLellan; Tamara Lamprecht; David E Larson; Cyriac Kandoth; Jacqueline E Payton; Jack Baty; John Welch; Christopher C Harris; Cheryl F Lichti; R Reid Townsend; Robert S Fulton; David J Dooling; Daniel C Koboldt; Heather Schmidt; Qunyuan Zhang; John R Osborne; Ling Lin; Michelle O'Laughlin; Joshua F McMichael; Kim D Delehaunty; Sean D McGrath; Lucinda A Fulton; Vincent J Magrini; Tammi L Vickery; Jasreet Hundal; Lisa L Cook; Joshua J Conyers; Gary W Swift; Jerry P Reed; Patricia A Alldredge; Todd Wylie; Jason Walker; Joelle Kalicki; Mark A Watson; Sharon Heath; William D Shannon; Nobish Varghese; Rakesh Nagarajan; Peter Westervelt; Michael H Tomasson; Daniel C Link; Timothy A Graubert; John F DiPersio; Elaine R Mardis; Richard K Wilson
Journal:  N Engl J Med       Date:  2010-11-10       Impact factor: 91.245

9.  DNA methylation of the first exon is tightly linked to transcriptional silencing.

Authors:  Fabienne Brenet; Michelle Moh; Patricia Funk; Erika Feierstein; Agnes J Viale; Nicholas D Socci; Joseph M Scandura
Journal:  PLoS One       Date:  2011-01-18       Impact factor: 3.240

10.  Mutations in epigenetic modifiers in myeloid malignancies and the prospect of novel epigenetic-targeted therapy.

Authors:  Amir T Fathi; Omar Abdel-Wahab
Journal:  Adv Hematol       Date:  2011-06-26
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  42 in total

Review 1.  Statistical methods for detecting differentially methylated regions based on MethylCap-seq data.

Authors:  Deepak N Ayyala; David E Frankhouser; Javkhlan-Ochir Ganbat; Guido Marcucci; Ralf Bundschuh; Pearlly Yan; Shili Lin
Journal:  Brief Bioinform       Date:  2015-10-09       Impact factor: 11.622

Review 2.  Why methylation is not a marker predictive of response to hypomethylating agents.

Authors:  Maria Teresa Voso; Valeria Santini; Emiliano Fabiani; Luana Fianchi; Marianna Criscuolo; Giulia Falconi; Francesco Guidi; Stefan Hohaus; Giuseppe Leone
Journal:  Haematologica       Date:  2014-04       Impact factor: 9.941

Review 3.  Predicting response to epigenetic therapy.

Authors:  Marianne B Treppendahl; Lasse S Kristensen; Kirsten Grønbæk
Journal:  J Clin Invest       Date:  2014-01-02       Impact factor: 14.808

4.  Identification of differentially methylated markers among cytogenetic risk groups of acute myeloid leukemia.

Authors:  Xiaoyu Qu; Jerry Davison; Liping Du; Barry Storer; Derek L Stirewalt; Shelly Heimfeld; Elihu Estey; Frederick R Appelbaum; Min Fang
Journal:  Epigenetics       Date:  2015       Impact factor: 4.528

5.  PrEMeR-CG: inferring nucleotide level DNA methylation values from MethylCap-seq data.

Authors:  David E Frankhouser; Mark Murphy; James S Blachly; Jincheol Park; Mike W Zoller; Javkhlan-Ochir Ganbat; John Curfman; John C Byrd; Shili Lin; Guido Marcucci; Pearlly Yan; Ralf Bundschuh
Journal:  Bioinformatics       Date:  2014-08-31       Impact factor: 6.937

Review 6.  Genomic tools in acute myeloid leukemia: From the bench to the bedside.

Authors:  Brian S White; John F DiPersio
Journal:  Cancer       Date:  2014-01-28       Impact factor: 6.860

7.  Statistical challenges in analyzing methylation and long-range chromosomal interaction data.

Authors:  Zhaohui Qin; Ben Li; Karen N Conneely; Hao Wu; Ming Hu; Deepak Ayyala; Yongseok Park; Victor X Jin; Fangyuan Zhang; Han Zhang; Li Li; Shili Lin
Journal:  Stat Biosci       Date:  2016-03-07

Review 8.  Decitabine: a review of its use in older patients with acute myeloid leukaemia.

Authors:  Monique P Curran
Journal:  Drugs Aging       Date:  2013-06       Impact factor: 3.923

Review 9.  The use of molecular genetics to refine prognosis in acute myeloid leukemia.

Authors:  Bhavana Bhatnagar; Ramiro Garzon
Journal:  Curr Hematol Malig Rep       Date:  2014-06       Impact factor: 3.952

10.  Demethylation demystification.

Authors:  Lauren Suarez; Steven D Gore
Journal:  Blood       Date:  2013-02-28       Impact factor: 22.113

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