Literature DB >> 21790896

Genetic and environmental predictors, endogenous hormones and growth factors, and risk of estrogen receptor-positive breast cancer in Japanese women.

Nobuyasu Yoshimoto1, Takeshi Nishiyama, Tatsuya Toyama, Satoru Takahashi, Norio Shiraki, Hiroshi Sugiura, Yumi Endo, Mai Iwasa, Yoshitaka Fujii, Hiroko Yamashita.   

Abstract

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.
© 2011 Japanese Cancer Association.

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Year:  2011        PMID: 21790896     DOI: 10.1111/j.1349-7006.2011.02047.x

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  15 in total

1.  Inclusion of endogenous hormone levels in risk prediction models of postmenopausal breast cancer.

Authors:  Shelley S Tworoger; Xuehong Zhang; A Heather Eliassen; Jing Qian; Graham A Colditz; Walter C Willett; Bernard A Rosner; Peter Kraft; Susan E Hankinson
Journal:  J Clin Oncol       Date:  2014-08-18       Impact factor: 44.544

2.  Associations between CYP19A1 polymorphisms, Native American ancestry, and breast cancer risk and mortality: the Breast Cancer Health Disparities Study.

Authors:  Stephanie D Boone; Kathy B Baumgartner; Richard N Baumgartner; Avonne E Connor; Christina M Pinkston; Shesh N Rai; Elizabeth C Riley; Lisa M Hines; Anna R Giuliano; Esther M John; Mariana C Stern; Gabriela Torres-Mejía; Roger K Wolff; Martha L Slattery
Journal:  Cancer Causes Control       Date:  2014-08-05       Impact factor: 2.506

3.  Inhibitory effects of O-methylated isoflavone glycitein on human breast cancer SKBR-3 cells.

Authors:  Bo Zhang; Jun-Ping Su; Yang Bai; Jie Li; Yong-Hong Liu
Journal:  Int J Clin Exp Pathol       Date:  2015-07-01

4.  Tumor biology in estrogen receptor-positive, human epidermal growth factor receptor type 2-negative breast cancer: Mind the menopausal status.

Authors:  Hiroko Yamashita
Journal:  World J Clin Oncol       Date:  2015-12-10

Review 5.  Reproductive history and breast cancer risk.

Authors:  Shunzo Kobayashi; Hiroshi Sugiura; Yoshiaki Ando; Norio Shiraki; Takeshi Yanagi; Hiroko Yamashita; Tatsuya Toyama
Journal:  Breast Cancer       Date:  2012-06-19       Impact factor: 4.239

6.  Alcohol-related breast cancer in postmenopausal women - effect of CYP19A1, PPARG and PPARGC1A polymorphisms on female sex-hormone levels and interaction with alcohol consumption and NSAID usage in a nested case-control study and a randomised controlled trial.

Authors:  Tine Iskov Kopp; Ditte Marie Jensen; Gitte Ravn-Haren; Arieh Cohen; Helle Molgaard Sommer; Lars Ove Dragsted; Anne Tjonneland; David Michael Hougaard; Ulla Vogel
Journal:  BMC Cancer       Date:  2016-04-21       Impact factor: 4.430

7.  Associations of Breast Cancer Risk Factors with Premenopausal Sex Hormones in Women with Very Low Breast Cancer Risk.

Authors:  Lauren C Houghton; Davaasambuu Ganmaa; Philip S Rosenberg; Dambadarjaa Davaalkham; Frank Z Stanczyk; Robert N Hoover; Rebecca Troisi
Journal:  Int J Environ Res Public Health       Date:  2016-10-31       Impact factor: 3.390

8.  Relationship between breastfeeding factors and breast cancer in women referred to Seyed Al-Shohada Hospital in Isfahan, Iran.

Authors:  Farahnaz Jafari-Mehdiabad; Mitra Savabi-Esfahani; Fariborz Mokaryan; Ashraf Kazemi
Journal:  Iran J Nurs Midwifery Res       Date:  2016 Nov-Dec

9.  Associations between aromatase CYP19 rs10046 polymorphism and breast cancer risk: from a case-control to a meta-analysis of 20,098 subjects.

Authors:  Begoña Pineda; Miguel Ángel García-Pérez; Antonio Cano; Ana Lluch; Pilar Eroles
Journal:  PLoS One       Date:  2013-01-16       Impact factor: 3.240

10.  The Association between Dairy Intake and Breast Cancer in Western and Asian Populations: A Systematic Review and Meta-Analysis.

Authors:  Jiajie Zang; Meihua Shen; Sufa Du; Tianwen Chen; Shurong Zou
Journal:  J Breast Cancer       Date:  2015-12-23       Impact factor: 3.588

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