Article
DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data.
Genome medicine - 25 Feb 2022
Liu Jiaqi, Zhao Hengqiang, Zheng Yu, Dong Lin, Zhao Sen, Huang Yukuan, Huang Shengkai, Qian Tianyi, Zou Jiali, Liu Shu, Li Jun, Yan Zihui, Li Yalun, Zhang Shuo, Huang Xin, Wang Wenyan, Li Yiqun, Wang Jie, Ming Yue, Li Xiaoxin, Xing Zeyu, Qin Ling, Zhao Zhengye, Jia Ziqi, Li Jiaxin, Liu Gang, Zhang Menglu, Feng Kexin, Wu Jiang, Zhang Jianguo, Yang Yongxin, Wu Zhihong, Liu Zhihua, Ying Jianming, Wang Xin, Su Jianzhong, Wang Xiang, Wu Nan
Abstract excerpt
BACKGROUND: Identifying breast cancer patients with DNA repair pathway-related germline pathogenic variants (GPVs) is important for effectively employing systemic treatment strategies and risk-reducing interventions. However, current criteria and risk prediction models for prioritizing genetic testing among breast cancer patients do not meet the demands of clinical practice due to insufficient accuracy. METHODS:...
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