Literature DB >> 22589488

Global methylation profiling for risk prediction of prostate cancer.

Saswati Mahapatra1, Eric W Klee, Charles Y F Young, Zhifu Sun, Rafael E Jimenez, George G Klee, Donald J Tindall, Krishna Vanaja Donkena.   

Abstract

PURPOSE: The aim of this study was to investigate the promoter hypermethylation as diagnostic markers to detect malignant prostate cells and as prognostic markers to predict the clinical recurrence of prostate cancer. EXPERIMENTAL
DESIGN: DNA was isolated from prostate cancer and normal adjacent tissues. After bisulfite conversion, methylation of 14,495 genes was evaluated using the Methylation27 microarrays in 238 prostate tissues. We analyzed methylation profiles in four different groups: (i) tumor (n = 198) versus matched normal tissues (n = 40), (ii) recurrence (n = 123) versus nonrecurrence (n = 75), (iii) clinical recurrence (n = 80) versus biochemical recurrence (n = 43), and (iv) systemic recurrence (n = 36) versus local recurrence (n = 44). Group 1, 2, 3, and 4 genes signifying biomarkers for diagnosis, prediction of recurrence, clinical recurrence, and systemic progression were determined. Univariate and multivariate analyses were conducted to predict risk of recurrence. We validated the methylation of genes in 20 independent tissues representing each group by pyrosequencing.
RESULTS: Microarray analysis revealed significant methylation of genes in four different groups of prostate cancer tissues. The sensitivity and specificity of methylation for 25 genes from 1, 2, and 4 groups and 7 from group 3 were shown. Validation of genes by pyrosequencing from group 1 (GSTP1, HIF3A, HAAO, and RARβ), group 2 (CRIP1, FLNC, RASGRF2, RUNX3, and HS3ST2), group 3 (PHLDA3, RASGRF2, and TNFRSF10D), and group 4 (BCL11B, POU3F3, and RASGRF2) confirmed the microarray results.
CONCLUSIONS: Our study provides a global assessment of DNA methylation in prostate cancer and identifies the significance of genes as diagnostic and progression biomarkers of prostate cancer. ©2012 AACR.

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Year:  2012        PMID: 22589488     DOI: 10.1158/1078-0432.CCR-11-2090

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  59 in total

1.  DLEC1, a 3p tumor suppressor, represses NF-κB signaling and is methylated in prostate cancer.

Authors:  Lian Zhang; Qian Zhang; LiLi Li; Zhaohui Wang; Jianming Ying; Yu Fan; Qun He; Tianjing Lv; Wenke Han; Jun Li; Yang Yang; Ben Xu; Lu Wang; Qianling Liu; Yinghao Sun; Yinglu Guo; Qian Tao; Jie Jin
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2.  GSTP1 promoter methylation is associated with recurrence in early stage prostate cancer.

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Review 3.  Global DNA hypomethylation in prostate cancer development and progression: a systematic review.

Authors:  R Zelic; V Fiano; C Grasso; D Zugna; A Pettersson; A Gillio-Tos; F Merletti; L Richiardi
Journal:  Prostate Cancer Prostatic Dis       Date:  2014-11-11       Impact factor: 5.554

4.  Epigenomic alterations in localized and advanced prostate cancer.

Authors:  Pei-Chun Lin; Eugenia G Giannopoulou; Kyung Park; Juan Miguel Mosquera; Andrea Sboner; Ashutosh K Tewari; Levi A Garraway; Himisha Beltran; Mark A Rubin; Olivier Elemento
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5.  PHLDA3 is a novel tumor suppressor of pancreatic neuroendocrine tumors.

Authors:  Rieko Ohki; Kozue Saito; Yu Chen; Tatsuya Kawase; Nobuyoshi Hiraoka; Raira Saigawa; Maiko Minegishi; Yukie Aita; Goichi Yanai; Hiroko Shimizu; Shinichi Yachida; Naoaki Sakata; Ryuichiro Doi; Tomoo Kosuge; Kazuaki Shimada; Benjamin Tycko; Toshihiko Tsukada; Yae Kanai; Shoichiro Sumi; Hideo Namiki; Yoichi Taya; Tatsuhiro Shibata; Hitoshi Nakagama
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-27       Impact factor: 11.205

6.  Epigenomic profiling of DNA methylation in paired prostate cancer versus adjacent benign tissue.

Authors:  Milan S Geybels; Shanshan Zhao; Chao-Jen Wong; Marina Bibikova; Brandy Klotzle; Michael Wu; Elaine A Ostrander; Jian-Bing Fan; Ziding Feng; Janet L Stanford
Journal:  Prostate       Date:  2015-09-18       Impact factor: 4.104

7.  Placental DNA methylation alterations associated with maternal tobacco smoking at the RUNX3 gene are also associated with gestational age.

Authors:  Jennifer Z J Maccani; Devin C Koestler; Eugene Andrés Houseman; Carmen J Marsit; Karl T Kelsey
Journal:  Epigenomics       Date:  2013-12       Impact factor: 4.778

8.  Automated analysis of immunohistochemistry images identifies candidate location biomarkers for cancers.

Authors:  Aparna Kumar; Arvind Rao; Santosh Bhavani; Justin Y Newberg; Robert F Murphy
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-08       Impact factor: 11.205

9.  Methylation of PITX2, HOXD3, RASSF1 and TDRD1 predicts biochemical recurrence in high-risk prostate cancer.

Authors:  Kirill Litovkin; Steven Joniau; Evelyne Lerut; Annouschka Laenen; Olivier Gevaert; Martin Spahn; Burkhard Kneitz; Sofie Isebaert; Karin Haustermans; Monique Beullens; Aleyde Van Eynde; Mathieu Bollen
Journal:  J Cancer Res Clin Oncol       Date:  2014-06-18       Impact factor: 4.553

Review 10.  Heparan sulfate 3-O-sulfation: a rare modification in search of a function.

Authors:  Bryan E Thacker; Ding Xu; Roger Lawrence; Jeffrey D Esko
Journal:  Matrix Biol       Date:  2013-12-19       Impact factor: 11.583

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