Literature DB >> 21641967

Genetic susceptibility to sporadic ovarian cancer: a systematic review.

M G M Braem1, L J Schouten, P H M Peeters, P A van den Brandt, N C Onland-Moret.   

Abstract

Ovarian cancer is a highly lethal disease. Many researchers have, therefore, attempted to identify high risk populations. In this perspective, numerous genetic association studies have been performed to discover common ovarian cancer susceptibility variants. Accordingly, there is an increasing need to synthesize the evidence in order to identify true associations. A comprehensive and systematic assessment of all available data on genetic susceptibility to sporadic ovarian cancer was carried out. The evidence of statistically significant findings was evaluated based on the number of positive replications, the ratio of positive and negative studies, and the false-positive report probability (FPRP). The authors reviewed three genome-wide association studies (GWAS) and 147 candidate gene studies, published from 1990 to October 2010, including around 1100 genetic variants in more than 200 candidate genes and 20 intergenic regions. Genetic variants with the strongest evidence for an association with ovarian cancer include the rs2854344 in the RB1 gene and SNPs on chromosomes 9p22.2, 8q24, 2q31, and 19p13. Promising genetic pathways for ovarian cancer include the cell cycle, DNA repair, sex steroid hormone and oncogenic pathway. Concluding, this review shows that many genetic association studies have been performed, but only a few genetic variants show strong evidence for an association with ovarian cancer. More research is needed to elucidate causal genetic variants, taking into consideration gene-gene and gene-environment interactions, combined effects of common and rare variants, and differences between histological subtypes of this cancer.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21641967     DOI: 10.1016/j.bbcan.2011.05.002

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  16 in total

Review 1.  Modern trends into the epidemiology and screening of ovarian cancer. Genetic substrate of the sporadic form.

Authors:  Maria Koutsaki; Apostolos Zaravinos; Demetrios A Spandidos
Journal:  Pathol Oncol Res       Date:  2011-12-09       Impact factor: 3.201

2.  Analyze association of the progesterone receptor gene polymorphism PROGINS with ovarian cancer risk.

Authors:  Cunzhong Yuan; Cunfang Wang; Xiaoyan Liu; Beihua Kong
Journal:  Mol Biol Rep       Date:  2013-09-21       Impact factor: 2.316

Review 3.  Candidate gene association studies: a comprehensive guide to useful in silico tools.

Authors:  Radhika Patnala; Judith Clements; Jyotsna Batra
Journal:  BMC Genet       Date:  2013-05-09       Impact factor: 2.797

4.  The 8q24 gene desert: an oasis of non-coding transcriptional activity.

Authors:  Konrad Huppi; Jason J Pitt; Brady M Wahlberg; Natasha J Caplen
Journal:  Front Genet       Date:  2012-04-30       Impact factor: 4.599

5.  The GADD45A (1506T>C) Polymorphism Is Associated with Ovarian Cancer Susceptibility and Prognosis.

Authors:  Cunzhong Yuan; Xiaoyan Liu; Xiaolin Liu; Ning Yang; Zhenping Liu; Shi Yan; Keng Shen; Beihua Kong
Journal:  PLoS One       Date:  2015-09-30       Impact factor: 3.240

6.  The MTDH (-470G>A) polymorphism is associated with ovarian cancer susceptibility.

Authors:  Cunzhong Yuan; Xiao Li; Shi Yan; Qifeng Yang; Xiaoyan Liu; Beihua Kong
Journal:  PLoS One       Date:  2012-12-11       Impact factor: 3.240

7.  Analyzing association of the XRCC3 gene polymorphism with ovarian cancer risk.

Authors:  Cunzhong Yuan; Xiaoyan Liu; Shi Yan; Cunfang Wang; Beihua Kong
Journal:  Biomed Res Int       Date:  2014-06-10       Impact factor: 3.411

8.  Validation of six genetic determinants of susceptibility to estrogen-induced mammary cancer in the rat and assessment of their relevance to breast cancer risk in humans.

Authors:  John A Colletti; Kristin M Leland-Wavrin; Scott G Kurz; Maureen Peters Hickman; Nicole L Seiler; Nyssa Becker Samanas; Quincy A Eckert; Kirsten L Dennison; Lina Ding; Beverly S Schaffer; James D Shull
Journal:  G3 (Bethesda)       Date:  2014-05-28       Impact factor: 3.154

9.  FXYD5 is a Marker for Poor Prognosis and a Potential Driver for Metastasis in Ovarian Carcinomas.

Authors:  Pichai Raman; Timothy Purwin; Richard Pestell; Aydin Tozeren
Journal:  Cancer Inform       Date:  2015-10-12

10.  Data Mining of Gene Arrays for Biomarkers of Survival in Ovarian Cancer.

Authors:  Clare Coveney; David J Boocock; Robert C Rees; Suha Deen; Graham R Ball
Journal:  Microarrays (Basel)       Date:  2015-07-17
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