A Personal Breast Cancer Risk Stratification Model Using Common Variants and Environmental Risk Factors in Japanese Females

Cancers

Yuko Kijima¹  Chihaya Koriyama²  Yoshio Kasuga³  Issei Imoto⁴  Keitaro Matsuo⁵  Yumiko Kasugai⁵  Tomotaka Ugai⁵  Isao Oze⁵  Yukari Taniyama⁶  Yuriko N. Koyanagi⁶  Hidemi Ito⁶  Motoki Iwasaki⁷  Taiki Yamaji⁷  Tomoyo K. Ouellette⁸  Shoichiro Tsugane⁹ 

[1] Department of Breast Surgery, School of Medicine Fujita Health University, Aichi 470-1192, Japan;Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima 890-8544, Japan;Department of Surgery, Nagano Matsushiro General Hospital, Nagano 381-1231, Japan;Director, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan;Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan;Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan;Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo 104-0045, Japan;Kaneko Clinic, Kagoshima 890-0055, Japan;National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan;

关键词: breast cancer;    genetic risk model;    polygenic risk model;    environmental risk model;    personalized prevention;   

DOI  :  10.3390/cancers13153796

来源: DOAJ

【 摘 要 】

Personalized approaches to prevention based on genetic risk models have been anticipated, and many models for the prediction of individual breast cancer risk have been developed. However, few studies have evaluated personalized risk using both genetic and environmental factors. We developed a risk model using genetic and environmental risk factors using 1319 breast cancer cases and 2094 controls from three case–control studies in Japan. Risk groups were defined based on the number of risk alleles for 14 breast cancer susceptibility loci, namely low (0–10 alleles), moderate (11–16) and high (17+). Environmental risk factors were collected using a self-administered questionnaire and implemented with harmonization. Odds ratio (OR) and C-statistics, calculated using a logistic regression model, were used to evaluate breast cancer susceptibility and model performance. Respective breast cancer ORs in the moderate- and high-risk groups were 1.69 (95% confidence interval, 1.39–2.04) and 3.27 (2.46–4.34) compared with the low-risk group. The C-statistic for the environmental model of 0.616 (0.596–0.636) was significantly improved by combination with the genetic model, to 0.659 (0.640–0.678). This combined genetic and environmental risk model may be suitable for the stratification of individuals by breast cancer risk. New approaches to breast cancer prevention using the model are warranted.

【 授权许可】

Unknown