Literature DB >> 12542972

Genetic polymorphisms and cancer susceptibility of breast cancer in Korean women.

Daehee Kang1.   

Abstract

Breast cancer is the most prevalent cancer among women in Western countries, and its prevalence is also increasing in Asia. The major risk factor for breast cancer can be traced to reproductive events that influence the lifetime levels of hormones. However, a large percentage of breast cancer cases cannot, be explained by these risk factors. The identification of susceptibility factors that predispose individuals to breast cancer (for instance, if they are exposed to particular environmental agents) could possibly give further insight into the etiology of this malignancy and provide targets for the future development of therapeutics. The most interesting candidate genes include those that mediate a range of functions. These include carcinogen metabolism, DNA repair, steroid hormone metabolism, signal transduction, and cell cycle control. we conducted a hospital-based case-control study on South Korea to evaluate the potential modifying role of the genetic pollymprphisms of selected low penetrance gens that are involved carcinogen metabolisms (i.e., CYP1A1, CYP2E1, GSTM1/T1/P1, NAT1/2, etc.), estrogen synthesis and metabolism (i.e., CYP19, CYP17, CYP1B1, COMT, ER-alpha, etc.), DNA repair (i.e., XRCC1/3, ERCC2/4, ATM, AGT, etc.), and signal transduction as well as others (i.e., TGF- beta, IGF-1, TNF- beta, IL-1B, IL-1RN, etc.). We also took into account the potential interaction between these and the known risk factors of breast cancer. The results of selected genes will be presented in this mini-review.

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Year:  2003        PMID: 12542972     DOI: 10.5483/bmbrep.2003.36.1.028

Source DB:  PubMed          Journal:  J Biochem Mol Biol        ISSN: 1225-8687


  9 in total

1.  Genetic polymorphism of XRCC1 correlated with response to oxaliplatin-based chemotherapy in advanced colorectal cancer.

Authors:  Hongying Lv; Qicai Li; Wengsheng Qiu; Jinyu Xiang; Hongjun Wei; Hua Liang; Aihua Sui; Jun Liang
Journal:  Pathol Oncol Res       Date:  2012-05-02       Impact factor: 3.201

2.  Genetic polymorphism of ESR1 rs2881766 increases breast cancer risk in Korean women.

Authors:  Byung Ho Son; Mi Kyung Kim; Young Mi Yun; Hee Jeong Kim; Jong Han Yu; Beom Seok Ko; Hanna Kim; Sei Hyun Ahn
Journal:  J Cancer Res Clin Oncol       Date:  2014-10-17       Impact factor: 4.553

3.  Meta-analysis of genetic polymorphisms in xenobiotic metabolizing enzymes and their association with breast cancer risk.

Authors:  Tajamul Hussain; Salman Alrokayan; Upadhyay Upasna; Manickam Pavithrakumari; Jaganathan Jayapriya; Vijay Kumar Kutala; Shaik Mohammad Naushad
Journal:  J Genet       Date:  2018-06       Impact factor: 1.166

Review 4.  High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies.

Authors:  Yen-Ling Low; Sara Wedrén; Jianjun Liu
Journal:  Breast Cancer Res       Date:  2006-06-28       Impact factor: 6.466

5.  SNP-SNP interactions in breast cancer susceptibility.

Authors:  Venüs Ummiye Onay; Laurent Briollais; Julia A Knight; Ellen Shi; Yuanyuan Wang; Sean Wells; Hong Li; Isaac Rajendram; Irene L Andrulis; Hilmi Ozcelik
Journal:  BMC Cancer       Date:  2006-05-03       Impact factor: 4.430

6.  Combined effects of GSTM1 and GSTT1 polymorphisms on breast cancer risk: A MOOSE-compliant meta-analysis and false-positive report probabilities test.

Authors:  Li-Feng Miao; Xiao-Yan Wang; Xiang-Hua Ye; Meng-Shen Cui; Xiao-Feng He
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

Review 7.  Association of COMT Val158Met polymorphism and breast cancer risk: an updated meta-analysis.

Authors:  Xue Qin; Qiliu Peng; Aiping Qin; Zhiping Chen; Liwen Lin; Yan Deng; Li Xie; Juanjuan Xu; Haiwei Li; Taijie Li; Shan Li; Jinmin Zhao
Journal:  Diagn Pathol       Date:  2012-10-08       Impact factor: 2.644

8.  CYP1A1 and GSTM1/T1 genetic variation in predicting risk for cerebral infarction.

Authors:  Kyung-Suk Moon; Hye-Jung Lee; Seung-Heon Hong; Hyung-Min Kim; Jae-Young Um
Journal:  J Mol Neurosci       Date:  2007       Impact factor: 2.866

9.  Methodological issues in detecting gene-gene interactions in breast cancer susceptibility: a population-based study in Ontario.

Authors:  Laurent Briollais; Yuanyuan Wang; Isaac Rajendram; Venus Onay; Ellen Shi; Julia Knight; Hilmi Ozcelik
Journal:  BMC Med       Date:  2007-08-07       Impact factor: 8.775

  9 in total

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