Breast Cancer Risk Prediction in Korean Women: Review and Perspectives on Personalized Breast Cancer Screening.
Do Yeun KimHannah Lui ParkPublished in: Journal of breast cancer (2020)
Due to an increasing proportion of older individuals and the adoption of a westernized lifestyle, the incidence rate of breast cancer is expected to rapidly increase within the next 10 years in Korea. The National Cancer Screening Program (NCSP) of Korea recommends biennial breast cancer screening through mammography for women aged 40-69 years old and according to individual risk and preference for women above 70 years old. There is an ongoing debate on how to most effectively screen for breast cancer, with many proponents of personalized screening, or screening according to individual risk, for women under 70 years old as well. However, to accurately stratify women into risk categories, further study using more refined personalized characteristics, including potentially incorporating a polygenic risk score (PRS), may be needed. While most breast cancer risk prediction models were developed in Western countries, the Korean Breast Cancer Risk Assessment Tool (KoBCRAT) was developed in 2013, and several other risk models have been developed for Asian women specifically. This paper reviews these models compared to commonly used models developed using primarily Caucasian women, namely, the modified Gail, Breast Cancer Surveillance Consortium, Rosner and Colditz, and Tyrer-Cuzick models. In addition, this paper reviews studies in which PRS is included in risk prediction in Asian women. Finally, this paper discusses and explores strategies toward development and implementation of personalized screening for breast cancer in Korea.
Keyphrases
- breast cancer risk
- polycystic ovary syndrome
- pregnancy outcomes
- healthcare
- cervical cancer screening
- cardiovascular disease
- type diabetes
- physical activity
- primary care
- randomized controlled trial
- metabolic syndrome
- magnetic resonance imaging
- risk factors
- adipose tissue
- public health
- computed tomography
- magnetic resonance
- electronic health record
- south africa
- single cell
- dual energy