Literature DB >> 28222251

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

Xiaoyu Qu1,2, Megan Othus3,4, Jerry Davison3, Yu Wu1, Liying Yan5, Soheil Meshinchi1, Fabiana Ostronoff1, Elihu H Estey1,2,6, Jerry P Radich1,2, Harry P Erba4,7, Frederick R Appelbaum1,2,4,6, Min Fang1,2,4,8.   

Abstract

BACKGROUND: Aberrant DNA methylation is known to occur in patients with acute myeloid leukemia (AML), whereas methylation signatures and prognostic markers have been proposed. The objective of the current study was to evaluate all CpG sites of the genome and identify prognostic methylation markers for overall survival in patients with AML with normal karyotype (AML-NK).
METHODS: AML-NK samples from 7 SWOG trials were analyzed using a novel genome-wide approach called "CHARMcox" (comprehensive high-throughput array-based relative methylation analysis combined with the Cox proportional hazards model) controlling for known clinical covariates. CHARMcox was applied to a phase 1 discovery cohort (72 patients) to identify survival-associated methylation regions (SAMRs). Subsequently, using bisulfite pyrosequencing, SAMRs were studied in phase 2 model-building (65 patients) and phase 3 validation (65 patients) cohorts. An independent external cohort from The Cancer Genome Atlas (TCGA) AML study (LAML) was used for further validation (93 patients).
RESULTS: Two SAMRs, located at the CpG island shores of leucine zipper tumor suppressor 2 (LZTS2) and nuclear receptor subfamily 6 group a member 1 (NR6A1), respectively, were identified. Multivariable analyses demonstrated that hypomethylation of either LZTS2 or NR6A1 was associated with worse overall survival in the SWOG cohort (P<.001). The prognosis was validated in patients with AML-NK from the TCGA-LAML cohort. Methylation values below the median at both markers predicted worse overall survival (SWOG: hazard ratio, 1.89 [P<.001]; and TCGA-LAML: hazard ratio, 2.08 [P=.006]). The C-statistic was 0.71 for both cohorts, and the impact was independent of the Fms-related tyrosine kinase 3 internal tandem duplication (FLT3-ITD) status.
CONCLUSIONS: The 2 methylation markers, measurable by clinically applicable assays such as bisulfite pyrosequencing, are promising for risk stratification among patients with AML-NK. Cancer 2017;123:2472-81.
© 2017 American Cancer Society. © 2017 American Cancer Society.

Entities:  

Keywords:  leucine zipper tumor suppressor 2 (LZTS2); leukemia; methylation; nuclear receptor subfamily 6 group a member 1 (NR6A1); survival

Mesh:

Substances:

Year:  2017        PMID: 28222251      PMCID: PMC5705230          DOI: 10.1002/cncr.30626

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  19 in total

1.  Characterization of acute myeloid leukemia based on levels of global hydroxymethylation.

Authors:  Leonie I Kroeze; Mariam G Aslanyan; Arno van Rooij; Theresia N Koorenhof-Scheele; Marion Massop; Thomas Carell; Jan B Boezeman; Jean-Pierre Marie; Constantijn J M Halkes; Theo de Witte; Gerwin Huls; Stefan Suciu; Ron A Wevers; Bert A van der Reijden; Joop H Jansen
Journal:  Blood       Date:  2014-07-01       Impact factor: 22.113

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.  Deletion of leucine zipper tumor suppressor 2 (Lzts2) increases susceptibility to tumor development.

Authors:  Daniel T Johnson; Richard Luong; Suk Hyung Lee; Yue Peng; Atossa Shaltouki; Jane T Lee; Dong Lin; Yuzhuo Wang; Zijie Sun
Journal:  J Biol Chem       Date:  2012-12-28       Impact factor: 5.157

4.  Prognostic DNA methylation patterns in cytogenetically normal acute myeloid leukemia are predefined by stem cell chromatin marks.

Authors:  Stefan Deneberg; Philippe Guardiola; Andreas Lennartsson; Ying Qu; Verena Gaidzik; Odile Blanchet; Mohsen Karimi; Sofia Bengtzén; Hareth Nahi; Bertil Uggla; Ulf Tidefelt; Martin Höglund; Christer Paul; Karl Ekwall; Konstanze Döhner; Sören Lehmann
Journal:  Blood       Date:  2011-09-29       Impact factor: 22.113

5.  LAPSER1: a novel candidate tumor suppressor gene from 10q24.3.

Authors:  Y Cabeza-Arvelaiz; T C Thompson; J L Sepulveda; A C Chinault
Journal:  Oncogene       Date:  2001-10-11       Impact factor: 9.867

6.  Expression screening of cancer/testis genes in prostate cancer identifies NR6A1 as a novel marker of disease progression and aggressiveness.

Authors:  Romain Mathieu; Bertrand Evrard; Gaëlle Fromont; Nathalie Rioux-Leclercq; Julie Godet; Xavier Cathelineau; François Guillé; Michael Primig; Frédéric Chalmel
Journal:  Prostate       Date:  2013-03-26       Impact factor: 4.104

7.  Epigenetic modifiers: basic understanding and clinical development.

Authors:  Richard L Piekarz; Susan E Bates
Journal:  Clin Cancer Res       Date:  2009-06-09       Impact factor: 12.531

8.  Increased methylation variation in epigenetic domains across cancer types.

Authors:  Kasper Daniel Hansen; Winston Timp; Héctor Corrada Bravo; Sarven Sabunciyan; Benjamin Langmead; Oliver G McDonald; Bo Wen; Hao Wu; Yun Liu; Dinh Diep; Eirikur Briem; Kun Zhang; Rafael A Irizarry; Andrew P Feinberg
Journal:  Nat Genet       Date:  2011-06-26       Impact factor: 38.330

9.  The human colon cancer methylome shows similar hypo- and hypermethylation at conserved tissue-specific CpG island shores.

Authors:  Rafael A Irizarry; Christine Ladd-Acosta; Andrew P Feinberg; Bo Wen; Zhijin Wu; Carolina Montano; Patrick Onyango; Hengmi Cui; Kevin Gabo; Michael Rongione; Maree Webster; Hong Ji; James Potash; Sarven Sabunciyan
Journal:  Nat Genet       Date:  2009-01-18       Impact factor: 38.330

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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  6 in total

1.  Impact of Specimen Heterogeneity on Biomarkers in Repository Samples from Patients with Acute Myeloid Leukemia: A SWOG Report.

Authors:  Era L Pogosova-Agadjanyan; Anna Moseley; Megan Othus; Frederick R Appelbaum; Thomas R Chauncey; I-Ming L Chen; Harry P Erba; John E Godwin; Min Fang; Kenneth J Kopecky; Alan F List; Galina L Pogosov; Jerald P Radich; Cheryl L Willman; Brent L Wood; Soheil Meshinchi; Derek L Stirewalt
Journal:  Biopreserv Biobank       Date:  2017-11-27       Impact factor: 2.256

2.  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

3.  LZTS2 promoter hypermethylation: a potential biomarker for the diagnosis and prognosis of laryngeal squamous cell carcinoma.

Authors:  Zhisen Shen; Lexi Lin; Bing Cao; Chongchang Zhou; Wenjuan Hao; Dong Ye
Journal:  World J Surg Oncol       Date:  2018-03-02       Impact factor: 2.754

4.  A validation study of potential prognostic DNA methylation biomarkers in patients with acute myeloid leukemia using a custom DNA methylation sequencing panel.

Authors:  Šárka Šestáková; Ela Cerovská; Cyril Šálek; Dávid Kundrát; Ivana Ježíšková; Adam Folta; Jiří Mayer; Zdeněk Ráčil; Petr Cetkovský; Hana Remešová
Journal:  Clin Epigenetics       Date:  2022-02-11       Impact factor: 6.551

5.  Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia.

Authors:  Genki Yamato; Tomoko Kawai; Norio Shiba; Junji Ikeda; Yusuke Hara; Kentaro Ohki; Shin-Ichi Tsujimoto; Taeko Kaburagi; Kenichi Yoshida; Yuichi Shiraishi; Satoru Miyano; Nobutaka Kiyokawa; Daisuke Tomizawa; Akira Shimada; Manabu Sotomatsu; Hirokazu Arakawa; Souichi Adachi; Takashi Taga; Keizo Horibe; Seishi Ogawa; Kenichiro Hata; Yasuhide Hayashi
Journal:  Blood Adv       Date:  2022-06-14

6.  Acidic leucine-rich nuclear phosphoprotein-32A expression contributes to adverse outcome in acute myeloid leukemia.

Authors:  Sai Huang; Zhi Huang; Chao Ma; Lan Luo; Yan-Fen Li; Yong-Li Wu; Yuan Ren; Cong Feng
Journal:  Ann Transl Med       Date:  2020-03
  6 in total

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