Literature DB >> 16835078

How valid is single nucleotide polymorphism (SNP) diagnosis for the individual risk assessment of breast cancer?

Clemens B Tempfer1, Lukas A Hefler, Christian Schneeberger, Johannes C Huber.   

Abstract

The number of reports investigating disease susceptibility based on the carriage of low-penetrance, high-frequency single nucleotide polymorphisms (SNPs) has increased in recent years. Evidence is accumulating defining specific individual variations in breast cancer susceptibility. Genetic variations of estradiol and xenobiotics metabolisms as well as genes involved in cell-cycle control have been described as significant contributors to breast cancer susceptibility, with variations depending on ethnic background and co-factors such as smoking and family history of breast cancer. In sum, the highest level of evidence to date linking SNPs and breast cancer comes from nested case-control studies within the prospective Nurses' Health Study. These data establish seven SNPs - hPRB +331G/A, AR CAG repeat, CYP19 (TTTA)10, CYP1A1 MspI, VDR FOK1, XRCC1 Arg194Trp and XRCC2 Arg188His - as small but significant risk factors for spontaneous, non-hereditary breast cancer. In addition, meta-analysis of data in the literature establishes the TGFBR1*6A, HRAS1, GSTP Ile105Val and GSTM1 SNPs as low-penetrance genetic risk factors of sporadic breast cancer. The clinical consequences of such a risk elevation may be detailed instruction of the patient as to general measures of breast cancer prevention such as a low-fat diet, optimization of body mass index, physical exercise, avoidance of alcohol and long-term hormone replacement therapy, and participation in a breast cancer screening program between the ages of 50 and 70 years. Specific surgical or drug interventions such as prophylactic mastectomy and oophorectomy or prophylactic intake of tamoxifen are not indicated based on SNP analysis at this time.

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Year:  2006        PMID: 16835078     DOI: 10.1080/09513590600629175

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


  8 in total

1.  CYP19A1 polymorphisms and clinical outcomes in postmenopausal women with hormone receptor-positive breast cancer in the BIG 1-98 trial.

Authors:  Brian Leyland-Jones; Kathryn P Gray; Mark Abramovitz; Mark Bouzyk; Brandon Young; Bradley Long; Roswitha Kammler; Patrizia Dell'Orto; Maria Olivia Biasi; Beat Thürlimann; Maria B Lyng; Henrik J Ditzel; Vernon J Harvey; Patrick Neven; Isabelle Treilleux; Birgitte Bruun Rasmussen; Rudolf Maibach; Karen N Price; Alan S Coates; Aron Goldhirsch; Olivia Pagani; Giuseppe Viale; James M Rae; Meredith M Regan
Journal:  Breast Cancer Res Treat       Date:  2015-05-03       Impact factor: 4.872

2.  Double-strand break damage and associated DNA repair genes predispose smokers to gene methylation.

Authors:  Shuguang Leng; Christine A Stidley; Randy Willink; Amanda Bernauer; Kieu Do; Maria A Picchi; Xin Sheng; Melissa A Frasco; David Van Den Berg; Frank D Gilliland; Christopher Zima; Richard E Crowell; Steven A Belinsky
Journal:  Cancer Res       Date:  2008-04-15       Impact factor: 12.701

3.  Insulin-like growth factor 1 gene polymorphism in women with breast cancer.

Authors:  Danylo Rafhael Costa-Silva; Maria da Conceição Barros-Oliveira; Rafael Soares Borges; Larysse Maira Campos-Verdes; João Paulo da Silva-Sampaio; Carla Solange Escorcio-Dourado; Luana Mota Martins; Airlane Pereira Alencar; Edmund Chada Baracat; Vladimir Costa Silva; Benedito Borges da Silva
Journal:  Med Oncol       Date:  2017-03-17       Impact factor: 3.064

4.  Murine Prkdc polymorphisms impact DNA-PKcs function.

Authors:  Kristin M Fabre; Lila Ramaiah; Ryan C Dregalla; Christian Desaintes; Michael M Weil; Susan M Bailey; Robert L Ullrich
Journal:  Radiat Res       Date:  2011-01-25       Impact factor: 2.841

5.  Association between MutL homolog 1 polymorphisms and the risk of colorectal cancer: a meta-analysis.

Authors:  Haiyan Chen; Zhujing Shen; Yeting Hu; Qian Xiao; Dikai Bei; Xiangfeng Shen; Kefeng Ding
Journal:  J Cancer Res Clin Oncol       Date:  2015-05-19       Impact factor: 4.553

6.  The association between IGF1 gene rs1520220 polymorphism and cancer susceptibility: a meta-analysis based on 12,884 cases and 58,304 controls.

Authors:  Gui-Ping Xu; Wei-Xian Chen; Wen-Yue Xie; Li-Fang Wu
Journal:  Environ Health Prev Med       Date:  2018-08-16       Impact factor: 3.674

7.  Association between the insulin-like growth factor 1 gene rs2195239 and rs2162679 polymorphisms and cancer risk: a meta-analysis.

Authors:  Gui-Ping Xu; Wei-Xian Chen; Qing Zhao; Hua Zhou; Shi-Zhi Chen; Li-Fang Wu
Journal:  BMC Med Genet       Date:  2019-01-17       Impact factor: 2.103

8.  Generalizable characteristics of false-positive bacterial variant calls.

Authors:  Stephen J Bush
Journal:  Microb Genom       Date:  2021-08
  8 in total

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