Genetic and environmental predictors, endogenous hormones and growth factors, and risk of estrogen receptor-positive breast cancer in Japanese women
Article first published online: 24 AUG 2011
DOI: 10.1111/j.1349-7006.2011.02047.x
© 2011 Japanese Cancer Association
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How to Cite
Yoshimoto, N., Nishiyama, T., Toyama, T., Takahashi, S., Shiraki, N., Sugiura, H., Endo, Y., Iwasa, M., Fujii, Y. and Yamashita, H. (2011), Genetic and environmental predictors, endogenous hormones and growth factors, and risk of estrogen receptor-positive breast cancer in Japanese women. Cancer Science, 102: 2065–2072. doi: 10.1111/j.1349-7006.2011.02047.x
Publication History
- Issue published online: 23 OCT 2011
- Article first published online: 24 AUG 2011
- Accepted manuscript online: 26 JUL 2011 11:49AM EST
- (Received June 6, 2011/Revised July 11, 2011; July 19, 2011/Accepted July 21, 2011/Accepted manuscript online July 26, 2011/Article first published online August 24, 2011)
- Abstract
- Article
- References
- Cited By
The incidence of breast cancer in Japanese women has doubled in all age groups over the past two decades. We have recently shown that this marked increase is mostly due to an increase in the estrogen receptor (ER)-positive subtype. It is necessary to establish risk factors capable of predicting the risk of ER-positive breast cancer that will enable the efficient selection of candidates for preventive therapy. We analyzed genetic factors, including 14 single nucleotide polymorphisms (SNPs), environmental risk factors (body mass index, age at menarche, pregnancy, age at first birth, breastfeeding, family history of breast cancer, age at menopause, use of hormone replacement therapy, alcohol intake, and smoking), serum hormones and growth factors (estradiol, testosterone, prolactin, insulin-like growth factor 1 [IGF1] and IGF binding protein 3 [IGFBP3]), and mammographic density in 913 women with breast cancer and 278 disease-free controls. To identify important risk factors, risk prediction models for ER-positive breast cancer in both pre- and postmenopausal women were created by logistic regression analysis. In premenopausal women, one SNP (CYP19A1-rs10046), age, pregnancy, breastfeeding, alcohol intake, serum levels of prolactin, testosterone, and IGFBP3 were considered to be risk predictors. In postmenopausal women, one SNP (TP53-rs1042522), age, body mass index, age at menopause, serum levels of testosterone, and IGF1 were identified as risk predictors. Risk factors may differ between women of different menopausal status, and inclusion of common genetic variants and serum hormone measurements as well as environmental factors might improve risk assessment models. Further validation studies will clarify appropriate risk groups for preventive therapy. (Cancer Sci 2011; 102: 2065–2072)

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