Association between 15 known or potential breast cancer susceptibility genes and breast cancer risks in Chinese women

Autor: Ye Xu, Lu Yao, Dongjie Zhang, Fenfen Fu, Dingge Ying, Juan Zhang, Li Hu, Senthil Sundaram, Yuntao Xie, Ying Zhang, Shuna Fu
Rok vydání: 2021
Předmět:
Zdroj: Cancer Biology & Medicine, Vol 19, Iss 2, Pp 253-262 (2022)
ISSN: 2095-3941
Popis: Objective There are many hereditary breast cancer patients in China, and multigene panel testing has been a new paradigm of genetic testing for these patients and their relatives. However, the magnitude of breast cancer risks related to multiple breast cancer susceptibility genes are largely unknown in Chinese women. Methods We screened pathogenic variants in 15 established or potential breast cancer susceptibility genes from 8,067 consecutive Chinese female breast cancer patients and 13,129 Chinese cancer-free female controls. These breast cancer patients were unselected for age at diagnosis or family history. Results We found that pathogenic variants in TP53 [odds ratio (OR): 16.9, 95% confidence interval (CI): 5.2-55.2]; BRCA2 (OR: 10.4, 95% CI: 7.6-14.2); BRCA1 (OR: 9.7, 95% CI: 6.3-14.8); and PALB2 (OR: 5.2, 95% CI: 3.0-8.8) were associated with a high risk of breast cancer. ATM, BARD1, CHEK2, and RAD51D were associated with a moderate risk of breast cancer with ORs ranging from 2-fold to 4-fold. In contrast, pathogenic variants of NBN, RAD50, BRIP1, and RAD51C were not associated with increased risk of breast cancer in Chinese women. The pathogenic variants of PTEN, CDH1, and STK11 were very rare, so they had a limited contribution to Chinese breast cancer. Patients with pathogenic variants of TP53, BRCA1, BRCA2, and PALB2 more often had early-onset breast cancer, bilateral breast cancer, and a family history of breast cancer and/or any cancer. Conclusions This study provided breast cancer risk assessment data for multiple genes in Chinese women, which is useful for genetic testing and clinical management of Chinese hereditary breast cancer.
Databáze: OpenAIRE