Literature DB >> 25996682

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

Xiaoyu Qu1, Jerry Davison, Liping Du, Barry Storer, Derek L Stirewalt, Shelly Heimfeld, Elihu Estey, Frederick R Appelbaum, Min Fang.   

Abstract

Aberrant DNA methylation is known to occur in cancer, including hematological malignancies such as acute myeloid leukemia (AML). However, less is known about whether specific methylation profiles characterize specific subcategories of AML. We examined this issue by using comprehensive high-throughput array-based relative methylation analysis (CHARM) to compare methylation profiles among patients in different AML cytogenetic risk groups. We found distinct profiles in each group, with the high-risk group showing overall increased methylation compared with low- and mid-risk groups. The differentially methylated regions (DMRs) distinguishing cytogenetic risk groups of AML were enriched in the CpG island shores. Specific risk-group associated DMRs were located near genes previously known to play a role in AML or other malignancies, such as MN1, UHRF1, HOXB3, and HOXB4, as well as TRIM71, the function of which in cancer is not well characterized. These findings were verified by quantitative bisulfite pyrosequencing and by comparison with results available at the TCGA cancer genome browser. To explore the potential biological significance of the observed methylation changes, we correlated our findings with gene expression data available through the TCGA database. The results showed that decreased methylation at HOXB3 and HOXB4 was associated with increased gene expression of both HOXB genes specific to the mid-risk AML, while increased DNA methylation at DCC distinctive to the high-risk AML was associated with increased gene expression. Our results suggest that the differential impact of cytogenetic changes on AML prognosis may, in part, be mediated by changes in methylation.

Entities:  

Keywords:  AML; AML, acute myeloid leukemia; CHARM; CHARM, comprehensive high-throughput array-based relative methylation analysis; DMR; DMR, differentially methylated region; TCGA, The Cancer Genome Atlas Research Network; expression; methylation

Mesh:

Substances:

Year:  2015        PMID: 25996682      PMCID: PMC4623036          DOI: 10.1080/15592294.2015.1048060

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  29 in total

1.  Comprehensive high-throughput arrays for relative methylation (CHARM).

Authors:  Rafael A Irizarry; Christine Ladd-Acosta; Benilton Carvalho; Hao Wu; Sheri A Brandenburg; Jeffrey A Jeddeloh; Bo Wen; Andrew P Feinberg
Journal:  Genome Res       Date:  2008-03-03       Impact factor: 9.043

2.  Comprehensive high-throughput arrays for relative methylation (CHARM).

Authors:  Christine Ladd-Acosta; Martin J Aryee; Jared M Ordway; Andrew P Feinberg
Journal:  Curr Protoc Hum Genet       Date:  2010-04

3.  Low expression of MN1 associates with better treatment response in older patients with de novo cytogenetically normal acute myeloid leukemia.

Authors:  Sebastian Schwind; Guido Marcucci; Jessica Kohlschmidt; Michael D Radmacher; Krzysztof Mrózek; Kati Maharry; Heiko Becker; Klaus H Metzeler; Susan P Whitman; Yue-Zhong Wu; Bayard L Powell; Maria R Baer; Jonathan E Kolitz; Andrew J Carroll; Richard A Larson; Michael A Caligiuri; Clara D Bloomfield
Journal:  Blood       Date:  2011-08-09       Impact factor: 22.113

4.  Gene-specific and global methylation patterns predict outcome in patients with acute myeloid leukemia.

Authors:  S Deneberg; M Grövdal; M Karimi; M Jansson; H Nahi; A Corbacioglu; V Gaidzik; K Döhner; C Paul; T J Ekström; E Hellström-Lindberg; S Lehmann
Journal:  Leukemia       Date:  2010-03-18       Impact factor: 11.528

5.  Distinct DNA methylomes of newborns and centenarians.

Authors:  Holger Heyn; Ning Li; Humberto J Ferreira; Sebastian Moran; David G Pisano; Antonio Gomez; Javier Diez; Jose V Sanchez-Mut; Fernando Setien; F Javier Carmona; Annibale A Puca; Sergi Sayols; Miguel A Pujana; Jordi Serra-Musach; Isabel Iglesias-Platas; Francesc Formiga; Agustin F Fernandez; Mario F Fraga; Simon C Heath; Alfonso Valencia; Ivo G Gut; Jun Wang; Manel Esteller
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-11       Impact factor: 11.205

6.  Prognostic importance of MN1 transcript levels, and biologic insights from MN1-associated gene and microRNA expression signatures in cytogenetically normal acute myeloid leukemia: a cancer and leukemia group B study.

Authors:  Christian Langer; Guido Marcucci; Kelsi B Holland; Michael D Radmacher; Kati Maharry; Peter Paschka; Susan P Whitman; Krzysztof Mrózek; Claudia D Baldus; Ravi Vij; Bayard L Powell; Andrew J Carroll; Jonathan E Kolitz; Michael A Caligiuri; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2009-05-18       Impact factor: 44.544

7.  Meningioma 1 (MN1) expression: refined risk stratification in acute myeloid leukemia with normal cytogenetics (CN-AML).

Authors:  Salah Aref; Lamiaa Ibrahim; Hana Morkes; Emad Azmy; Maha Ebrahim
Journal:  Hematology       Date:  2013-01-25       Impact factor: 2.269

8.  Loss of DCC gene expression is of prognostic importance in acute myelogenous leukemia.

Authors:  Koiti Inokuchi; Hiroki Yamaguchi; Hideki Hanawa; Sakae Tanosaki; Kayo Nakamura; Miki Tarusawa; Koichi Miyake; Takashi Shimada; Kazuo Dan
Journal:  Clin Cancer Res       Date:  2002-06       Impact factor: 12.531

9.  Aberrant DNA hypermethylation of the ITIH5 tumor suppressor gene in acute myeloid leukemia.

Authors:  Christoph Oing; Edgar Jost; Edgar Dahl; Stefan Wilop; Tim H Brümmendorf; Oliver Galm
Journal:  Clin Epigenetics       Date:  2011-06-23       Impact factor: 6.551

10.  Exploring TCGA Pan-Cancer data at the UCSC Cancer Genomics Browser.

Authors:  Melissa S Cline; Brian Craft; Teresa Swatloski; Mary Goldman; Singer Ma; David Haussler; Jingchun Zhu
Journal:  Sci Rep       Date:  2013-10-02       Impact factor: 4.379

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  11 in total

1.  DNA methylation profile in chronic myelomonocytic leukemia associates with distinct clinical, biological and genetic features.

Authors:  Laura Palomo; Roberto Malinverni; Marta Cabezón; Blanca Xicoy; Montserrat Arnan; Rosa Coll; Helena Pomares; Olga García; Francisco Fuster-Tormo; Javier Grau; Evarist Feliu; Francesc Solé; Marcus Buschbeck; Lurdes Zamora
Journal:  Epigenetics       Date:  2018-02-06       Impact factor: 4.528

2.  Prognostic methylation markers for overall survival in cytogenetically normal patients with acute myeloid leukemia treated on SWOG trials.

Authors:  Xiaoyu Qu; Megan Othus; Jerry Davison; Yu Wu; Liying Yan; Soheil Meshinchi; Fabiana Ostronoff; Elihu H Estey; Jerry P Radich; Harry P Erba; Frederick R Appelbaum; Min Fang
Journal:  Cancer       Date:  2017-02-21       Impact factor: 6.860

3.  Childhood abuse, promoter methylation of leukocyte NR3C1 and the potential modifying effect of emotional support.

Authors:  Alexandra E Shields; Lauren A Wise; Edward A Ruiz-Narvaez; Bobak Seddighzadeh; Hyang-Min Byun; Yvette C Cozier; Lynn Rosenberg; Julie R Palmer; Andrea A Baccarelli
Journal:  Epigenomics       Date:  2016-09-13       Impact factor: 4.778

4.  MN1 overexpression is driven by loss of DNMT3B methylation activity in inv(16) pediatric AML.

Authors:  N S D Larmonie; T C J M Arentsen-Peters; A Obulkasim; D Valerio; E Sonneveld; A A Danen-van Oorschot; V de Haas; D Reinhardt; M Zimmermann; J Trka; A Baruchel; R Pieters; M M van den Heuvel-Eibrink; C M Zwaan; M Fornerod
Journal:  Oncogene       Date:  2017-09-11       Impact factor: 9.867

Review 5.  Signalling pathways in UHRF1-dependent regulation of tumor suppressor genes in cancer.

Authors:  Mahmoud Alhosin; Ziad Omran; Mazin A Zamzami; Abdulrahman L Al-Malki; Hani Choudhry; Marc Mousli; Christian Bronner
Journal:  J Exp Clin Cancer Res       Date:  2016-11-14

6.  Targeting microRNA/UHRF1 pathways as a novel strategy for cancer therapy.

Authors:  Hani Choudhry; Mazin A Zamzami; Ziad Omran; Wei Wu; Marc Mousli; Christian Bronner; Mahmoud Alhosin
Journal:  Oncol Lett       Date:  2017-10-30       Impact factor: 2.967

7.  MicroRNA-181 as a prognostic biomarker for survival in acute myeloid leukemia: a meta-analysis.

Authors:  Qiang Guo; Junwen Luan; Ni Li; Zhen Zhang; Xiaoxiao Zhu; Lin Zhao; Ran Wei; Linlin Sun; Yin Shi; Xunqiang Yin; Na Ding; Guosheng Jiang; Xia Li
Journal:  Oncotarget       Date:  2017-07-12

Review 8.  Exploring the Role of Fallopian Ciliated Cells in the Pathogenesis of High-Grade Serous Ovarian Cancer.

Authors:  Michela Coan; Gian Luca Rampioni Vinciguerra; Laura Cesaratto; Emanuela Gardenal; Riccardo Bianchet; Erik Dassi; Andrea Vecchione; Gustavo Baldassarre; Riccardo Spizzo; Milena Sabrina Nicoloso
Journal:  Int J Mol Sci       Date:  2018-08-24       Impact factor: 5.923

9.  Maintenance and pharmacologic targeting of ROR1 protein levels via UHRF1 in t(1;19) pre-B-ALL.

Authors:  Marilynn Chow; Lina Gao; Jason D MacManiman; Vincent T Bicocca; Bill H Chang; Joshi J Alumkal; Jeffrey W Tyner
Journal:  Oncogene       Date:  2018-05-30       Impact factor: 9.867

10.  Stress and spirituality in relation to HPA axis gene methylation among US Black women: results from the Black Women's Health Study and the Study on Stress, Spirituality and Health.

Authors:  Alexandra E Shields; Yuankai Zhang; M Austin Argentieri; Erica T Warner; Yvette C Cozier; Chunyu Liu; Christian K Dye; Blake Victor Kent; Andrea A Baccarelli; Julie R Palmer
Journal:  Epigenomics       Date:  2021-11-02       Impact factor: 4.778

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