Literature DB >> 22115852

Prognostic and diagnostic significance of DNA methylation patterns in high grade serous ovarian cancer.

Céline Montavon1, Brian S Gloss, Kristina Warton, Caroline A Barton, Aaron L Statham, James P Scurry, Bruce Tabor, Tuan V Nguyen, Wenja Qu, Goli Samimi, Neville F Hacker, Robert L Sutherland, Susan J Clark, Philippa M O'Brien.   

Abstract

OBJECTIVE: Altered DNA methylation patterns hold promise as cancer biomarkers. In this study we selected a panel of genes which are commonly methylated in a variety of cancers to evaluate their potential application as biomarkers for prognosis and diagnosis in high grade serous ovarian carcinoma (HGSOC); the most common and lethal subtype of ovarian cancer.
METHODS: The methylation patterns of 10 genes (BRCA1, EN1, DLEC1, HOXA9, RASSF1A, GATA4, GATA5, HSULF1, CDH1, SFN) were examined and compared in a cohort of 80 primary HGSOC and 12 benign ovarian surface epithelium (OSE) samples using methylation-specific headloop suppression PCR.
RESULTS: The genes were variably methylated in primary HGSOC, with HOXA9 methylation observed in 95% of cases. Most genes were rarely methylated in benign OSE, with the exception of SFN which was methylated in all HGSOC and benign OSE samples examined. Methylation of DLEC1 was associated with disease recurrence, independent of tumor stage and suboptimal surgical debulking (HR 3.5 (95% CI:1.10-11.07), p=0.033). A combination of the methylation status of HOXA9 and EN1 could discriminate HGSOC from benign OSE with a sensitivity of 98.8% and a specificity of 91.7%, which increased to 100% sensitivity with no loss of specificity when pre-operative CA125 levels were also incorporated.
CONCLUSIONS: This study provides further evidence to support the feasibility of detecting altered DNA methylation patterns as a potential diagnostic and prognostic approach for HGSOC.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22115852     DOI: 10.1016/j.ygyno.2011.11.026

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  49 in total

1.  Virulence of infecting Helicobacter pylori strains and intensity of mononuclear cell infiltration are associated with levels of DNA hypermethylation in gastric mucosae.

Authors:  Barbara G Schneider; M Blanca Piazuelo; Liviu A Sicinschi; Robertino Mera; Dun-Fa Peng; Juan Carlos Roa; Judith Romero-Gallo; Alberto G Delgado; Thibaut de Sablet; Luis E Bravo; Keith T Wilson; Wael El-Rifai; Richard M Peek; Pelayo Correa
Journal:  Epigenetics       Date:  2013-08-22       Impact factor: 4.528

2.  Adaptation of ovarian cancer cells to the peritoneal environment: Multiple mechanisms of the developmental patterning gene HOXA9.

Authors:  Song Yi Ko; Honami Naora
Journal:  Cancer Cell Microenviron       Date:  2014-11-13

3.  Genetic Determinants of Epigenetic Patterns: Providing Insight into Disease.

Authors:  Emma Cazaly; Jac Charlesworth; Joanne L Dickinson; Adele F Holloway
Journal:  Mol Med       Date:  2015-03-26       Impact factor: 6.354

Review 4.  Emerging diagnostic, prognostic and therapeutic biomarkers for ovarian cancer.

Authors:  Khalid El Bairi; Abdul Hafeez Kandhro; Adel Gouri; Wafaa Mahfoud; Noureddine Louanjli; Brahim Saadani; Said Afqir; Mariam Amrani
Journal:  Cell Oncol (Dordr)       Date:  2016-12-15       Impact factor: 6.730

Review 5.  Methylation and ovarian cancer: Can DNA methylation be of diagnostic use?

Authors:  Julie L Hentze; Claus K Høgdall; Estrid V Høgdall
Journal:  Mol Clin Oncol       Date:  2019-01-11

6.  Estrogen receptor promoter methylation predicts survival in low-grade ovarian carcinoma patients.

Authors:  Verena Kirn; Rong Shi; Sabine Heublein; Julia Knabl; Margit Guenthner-Biller; Ulrich Andergassen; Claudius Fridrich; Wolfram Malter; Jan Harder; Klaus Friese; Doris Mayr; Udo Jeschke
Journal:  J Cancer Res Clin Oncol       Date:  2014-06-08       Impact factor: 4.553

7.  Hypomethylation signature of tumor-initiating cells predicts poor prognosis of ovarian cancer patients.

Authors:  Yu-Ping Liao; Lin-Yu Chen; Rui-Lan Huang; Po-Hsuan Su; Michael W Y Chan; Cheng-Chang Chang; Mu-Hsien Yu; Peng-Hui Wang; Ming-Shyen Yen; Kenneth P Nephew; Hung-Cheng Lai
Journal:  Hum Mol Genet       Date:  2013-11-20       Impact factor: 6.150

8.  Regulatory network involving miRNAs and genes in serous ovarian carcinoma.

Authors:  Haiyan Zhao; Hao Xu; Luchen Xue
Journal:  Oncol Lett       Date:  2017-09-14       Impact factor: 2.967

Review 9.  Biological markers of prognosis, response to therapy and outcome in ovarian carcinoma.

Authors:  Marta Szajnik; Małgorzata Czystowska-Kuźmicz; Esther Elishaev; Theresa L Whiteside
Journal:  Expert Rev Mol Diagn       Date:  2016-06-23       Impact factor: 5.225

10.  DNA Methylome Analyses Implicate Fallopian Tube Epithelia as the Origin for High-Grade Serous Ovarian Cancer.

Authors:  David Klinkebiel; Wa Zhang; Stacey N Akers; Kunle Odunsi; Adam R Karpf
Journal:  Mol Cancer Res       Date:  2016-06-03       Impact factor: 5.852

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