Literature DB >> 15734952

Double-strand break repair gene polymorphisms and risk of breast or ovarian cancer.

Penelope M Webb1, John L Hopper, Beth Newman, Xiaoqing Chen, Livia Kelemen, Graham G Giles, Melissa C Southey, Georgia Chenevix-Trench, Amanda B Spurdle.   

Abstract

Deficiencies in DNA repair have been hypothesized to increase cancer risk and excess cancer incidence is a feature of inherited diseases caused by defects in DNA damage recognition and repair. We investigated, using a case-control design, whether the double-strand break repair gene polymorphisms RAD51 5' untranslated region -135 G > C, XRCC2 R188H G > A, and XRCC3 T241M C > T were associated with risk of breast or ovarian cancer in Australian women. Sample sets included 1,456 breast cancer cases and 793 age-matched controls ages under 60 years of age, 549 incident ovarian cancer cases, and 335 controls of similar age distribution. For the total sample and the subsample of Caucasian women, there were no significant differences in genotype distribution between breast cancer cases and controls or between ovarian cancer cases and combined control groups. The crude odds ratios (OR) and 95% confidence intervals (95% CI) associated with the RAD51 GC/CC genotype frequency was OR, 1.10; 95% CI, 0.80-1.41 for breast cancer and OR, 1.22; 95% CI, 0.92-1.62 for ovarian cancer. Similarly, there were no increased risks associated with the XRCC2 GA/AA genotype (OR, 0.98; 95% CI, 0.76-1.26 for breast cancer and OR, 0.93; 95% CI, 0.69-1.25 for ovarian cancer) or the XRCC3 CT/TT genotype (OR, 0.92; 95% CI, 0.77-1.10 for breast cancer and OR, 0.87; 95% CI, 0.71-1.08 for ovarian cancer). Results were little changed after adjustment for age and other measured risk factors. Although there was little statistical power to detect modest increases in risk for the homozygote variant genotypes, particularly for the rare RAD51 and XRCC2 variants, the data suggest that none of these variants play a major role in the etiology of breast or ovarian cancer.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15734952     DOI: 10.1158/1055-9965.EPI-04-0335

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  32 in total

1.  Association between the XRCC3 polymorphisms and breast cancer risk: meta-analysis based on case-control studies.

Authors:  Xiao-Feng He; Wu Wei; Jiao Su; Zi-Xuan Yang; Yi Liu; Ying Zhang; Da-Peng Ding; Wei Wang
Journal:  Mol Biol Rep       Date:  2011-12-10       Impact factor: 2.316

2.  Lack of an association between XRCC2 R188H polymorphisms and breast cancer: an update meta-analysis involving 35,422 subjects.

Authors:  Bin Kong; Zhi-Dong Lv; Li Chen; Ruo-Wu Shen; Li-Ying Jin; Zhao-Chuan Yang
Journal:  Int J Clin Exp Med       Date:  2015-09-15

3.  RAD51 Gene 135G/C polymorphism and ovarian cancer risk: a meta-analysis.

Authors:  Xingzhong Hu; Suyu Sun
Journal:  Int J Clin Exp Med       Date:  2015-12-15

4.  RAD51 135G-->C modifies breast cancer risk among BRCA2 mutation carriers: results from a combined analysis of 19 studies.

Authors:  Antonis C Antoniou; Olga M Sinilnikova; Jacques Simard; Mélanie Léoné; Martine Dumont; Susan L Neuhausen; Jeffery P Struewing; Dominique Stoppa-Lyonnet; Laure Barjhoux; David J Hughes; Isabelle Coupier; Muriel Belotti; Christine Lasset; Valérie Bonadona; Yves-Jean Bignon; Timothy R Rebbeck; Theresa Wagner; Henry T Lynch; Susan M Domchek; Katherine L Nathanson; Judy E Garber; Jeffrey Weitzel; Steven A Narod; Gail Tomlinson; Olufunmilayo I Olopade; Andrew Godwin; Claudine Isaacs; Anna Jakubowska; Jan Lubinski; Jacek Gronwald; Bohdan Górski; Tomasz Byrski; Tomasz Huzarski; Susan Peock; Margaret Cook; Caroline Baynes; Alexandra Murray; Mark Rogers; Peter A Daly; Huw Dorkins; Rita K Schmutzler; Beatrix Versmold; Christoph Engel; Alfons Meindl; Norbert Arnold; Dieter Niederacher; Helmut Deissler; Amanda B Spurdle; Xiaoqing Chen; Nicola Waddell; Nicole Cloonan; Tomas Kirchhoff; Kenneth Offit; Eitan Friedman; Bella Kaufmann; Yael Laitman; Gilli Galore; Gad Rennert; Flavio Lejbkowicz; Leon Raskin; Irene L Andrulis; Eduard Ilyushik; Hilmi Ozcelik; Peter Devilee; Maaike P G Vreeswijk; Mark H Greene; Sheila A Prindiville; Ana Osorio; Javier Benitez; Michal Zikan; Csilla I Szabo; Outi Kilpivaara; Heli Nevanlinna; Ute Hamann; Francine Durocher; Adalgeir Arason; Fergus J Couch; Douglas F Easton; Georgia Chenevix-Trench
Journal:  Am J Hum Genet       Date:  2007-10-16       Impact factor: 11.025

5.  Association between single-nucleotide polymorphisms in hormone metabolism and DNA repair genes and epithelial ovarian cancer: results from two Australian studies and an additional validation set.

Authors:  Jonathan Beesley; Susan J Jordan; Amanda B Spurdle; Honglin Song; Susan J Ramus; Suzanne Kruger Kjaer; Estrid Hogdall; Richard A DiCioccio; Valerie McGuire; Alice S Whittemore; Simon A Gayther; Paul D P Pharoah; Penelope M Webb; Georgia Chenevix-Trench
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-12       Impact factor: 4.254

6.  Polymorphisms in DNA double-strand break repair genes and risk of breast cancer: two population-based studies in USA and Poland, and meta-analyses.

Authors:  Montserrat García-Closas; Kathleen M Egan; Polly A Newcomb; Louise A Brinton; Linda Titus-Ernstoff; Stephen Chanock; Robert Welch; Jolanta Lissowska; Beata Peplonska; Neonila Szeszenia-Dabrowska; Witold Zatonski; Alicja Bardin-Mikolajczak; Jeffery P Struewing
Journal:  Hum Genet       Date:  2006-02-17       Impact factor: 4.132

7.  Genetic 135G/C polymorphism of RAD51 gene and risk of cancer: a meta-analysis of 28,956 cases and 28,372 controls.

Authors:  Bei-Bei Zhang; Dao-Gang Wang; Chao Xuan; Gui-Li Sun; Kai-Feng Deng
Journal:  Fam Cancer       Date:  2014-12       Impact factor: 2.375

8.  Association between RAD51 polymorphism and breast cancer susceptibility: a meta analysis.

Authors:  Wei Li; Ke-Jia Liu; Jing-Song Song; Rui Song; Zi-Liang Liu
Journal:  Int J Clin Exp Med       Date:  2015-02-15

9.  The effect of RAD51 135 G>C and XRCC2 G>A (rs3218536) polymorphisms on ovarian cancer risk among Caucasians: a meta-analysis.

Authors:  Shujing Shi; Lingyan Qin; Mengqiu Tian; Mao Xie; Xiaoxue Li; Chenglin Qi; Xiang Yi
Journal:  Tumour Biol       Date:  2014-03-06

10.  An increased risk of ovarian cancer associated with polymorphism in BRCC5 gene in Caucasian populations.

Authors:  Hua Liang; Yan Li; Ruo-Yu Luo; Fu-Jin Shen
Journal:  Tumour Biol       Date:  2014-06-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.