Literature DB >> 14602139

Association of genetic polymorphisms in CYP19 and CYP1A1 with the oestrogen receptor-positive breast cancer risk.

Y Miyoshi1, A Ando, S Hasegawa, M Ishitobi, J Yamamura, N Irahara, Y Tanji, T Taguchi, Y Tamaki, S Noguchi.   

Abstract

Since tamoxifen has been shown to reduce the risk of oestrogen receptor (ER)-positive, but not ER-negative, breast cancers in a chemoprevention trial (P-1), it is important to develop assays to assess risk factors for ER-positive breast cancer in order to appropriately select candidates for chemoprevention with tamoxifen. Thus, the significance of genetic polymorphisms of genes involved in oestrogen biosynthesis (CYP19) and metabolism (CYP1A1) as a risk factor for ER-positive breast cancers was evaluated. A case-control study was conducted with 257 breast cancer patients and 191 healthy female controls. Two polymorphisms, CYP19 (TTTA repeats) in intron 4 and CYP1A1 6235C/T in the 3' non-coding region, and their association with the breast cancer risk after adjustment for the other epidemiological risk factors were examined. CYP19 (TTTA)7(-3bp) allele carriers showed a significantly (P<0.05) increased risk of ER-positive breast cancers (Odds Ratio (OR)=1.72, 95% Confidence Interval (CI) 1.10-2.69), but not ER-negative breast cancers. CYP1A1 6235C allele carriers showed a non-significant (P=0.06) trend towards a decreased risk of ER-positive breast cancers (OR=0.65, 95% CI 0.42-1.02), but not ER-negative breast cancers. The combination of these two polymorphisms was found to be more useful in the assessment of the ER-positive breast cancer risk (OR=3.00, 95% CI=1.56-5.74) than the CYP19 (TTTA)7(-3bp) polymorphism alone. The combination of CYP19 (TTTA)7(-3bp) and CYP1A1 6235C/T polymorphisms is associated with an ER-positive, but not ER-negative, breast cancer risk, and, thus, would be useful in the selection of candidates for chemoprevention with tamoxifen.

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Year:  2003        PMID: 14602139     DOI: 10.1016/j.ejca.2003.08.017

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  5 in total

1.  A comprehensive examination of CYP19 variation and risk of breast cancer using two haplotype-tagging approaches.

Authors:  Janet E Olson; James N Ingle; Cynthia X Ma; Linda L Pelleymounter; Daniel J Schaid; V Shane Pankratz; Robert A Vierkant; Zachary S Fredericksen; Yanhong Wu; Fergus J Couch; Celine M Vachon; Thomas A Sellers; Richard M Weinshilboum
Journal:  Breast Cancer Res Treat       Date:  2006-09-27       Impact factor: 4.872

2.  Functional genetic polymorphisms in the aromatase gene CYP19 vary the response of breast cancer patients to neoadjuvant therapy with aromatase inhibitors.

Authors:  Liewei Wang; Katarzyna A Ellsworth; Irene Moon; Linda L Pelleymounter; Bruce W Eckloff; Yvette N Martin; Brooke L Fridley; Gregory D Jenkins; Anthony Batzler; Vera J Suman; Saranya Ravi; J Michael Dixon; William R Miller; Eric D Wieben; Aman Buzdar; Richard M Weinshilboum; James N Ingle
Journal:  Cancer Res       Date:  2010-01-01       Impact factor: 12.701

3.  Genetic variation in CYP19A1 and risk of breast cancer and fibrocystic breast conditions among women in Shanghai, China.

Authors:  Chu Chen; Lori C Sakoda; Jennifer A Doherty; Melissa M Loomis; Sherianne Fish; Roberta M Ray; Ming Gang Lin; Wenhong Fan; Lue Ping Zhao; Dao Li Gao; Helge Stalsberg; Ziding Feng; David B Thomas
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-12       Impact factor: 4.254

4.  Exemestane potency is unchanged by common nonsynonymous polymorphisms in CYP19A1: results of a novel anti-aromatase activity assay examining exemestane and its derivatives.

Authors:  Amity Peterson; Zuping Xia; Gang Chen; Philip Lazarus
Journal:  Pharmacol Res Perspect       Date:  2017-04-27

5.  A polymorphism at the 3'-UTR region of the aromatase gene is associated with the efficacy of the aromatase inhibitor, anastrozole, in metastatic breast carcinoma.

Authors:  Lei Liu; Yu-Xian Bai; Jian-Hua Zhou; Xiu-Wei Sun; Hong Sui; Wen-Jie Zhang; Heng-Heng Yuan; Rui Xie; Xiao-Li Wei; Ting-Ting Zhang; Peng Huang; Yan-Jing Li; Jing-Xuan Wang; Shu Zhao; Qing-Yuan Zhang
Journal:  Int J Mol Sci       Date:  2013-09-13       Impact factor: 5.923

  5 in total

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