Literature DB >> 14637391

Polymorphisms of estrogen synthesizing and metabolizing genes and breast cancer risk in Japanese women.

Yasuo Miyoshi1, Shinzaburo Noguchi.   

Abstract

Recent success of chemoprevention with tamoxifen has opened a new era wherein prevention of breast cancer is much more emphasized than treatment of established breast cancer. Since tamoxifen has been shown to reduce the risk of estrogen receptor (ER)-positive, but not ER-negative, breast cancer in the chemoprevention trial (P-1), it seems to be important to develop risk factors for ER-positive breast cancer in order to select the candidates for chemoprevention more appropriately. Estrogens, the major risk factors for breast cancer, are speculated to affect breast cancer risk through ER, thus, genetic polymorphisms of the genes involved in the estrogens biosynthesis and metabolism are expected as risk factors for ER-positive breast cancer. Significance of polymorphisms of the genes involved in estrogens biosynthesis (CYP17, CYP19) and metabolism (CYP1A1, CYP1B1, COMT) in modulating the susceptibility to breast cancer is reviewed. The ethnic difference of the variant allele frequencies between Caucasian women and Asian women is also discussed.

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Year:  2003        PMID: 14637391     DOI: 10.1016/j.biopha.2003.09.008

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  12 in total

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3.  Association of CYP1B1 Polymorphisms with Breast Cancer: A Case-Control Study in the Han Population in Ningxia Hui Autonomous Region, P. R. China.

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4.  Increased prevalence of EGFR-mutant lung cancer in women and in East Asian populations: analysis of estrogen-related polymorphisms.

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5.  Variants of estrogen-related genes and breast cancer risk in European and African American women.

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Journal:  Int J Circumpolar Health       Date:  2012-08-16       Impact factor: 1.228

10.  Effect of Genetic Polymorphisms and Long-Term Tobacco Exposure on the Risk of Breast Cancer.

Authors:  Zoraida Verde; Catalina Santiago; Luis Miguel Chicharro; Luis Reinoso-Barbero; Alejandro Tejerina; Fernando Bandrés; Félix Gómez-Gallego
Journal:  Int J Mol Sci       Date:  2016-10-14       Impact factor: 5.923

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