Article
Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study.
The Lancet. Digital health - 1 May 2022
Wang Shuo, Yu He, Gan Yuncui, Wu Zhangjie, Li Encheng, Li Xiaohu, Cao Jingxue, Zhu Yongbei, Wang Liusu, Deng Hui, Xie Mei, Wang Yuanyong, Ma Xidong, Liu Dan, Chen Bojiang, Tian Panwen, Qiu Zhixin, Xian Jinghong, Ren Jing, Wang Kun, Wei Wei, Xie Fei, Li Zhenhui, Wang Qi, Xue Xinying, Liu Zaiyi, Shi Jingyun, Li Weimin, Tian Jie
Abstract excerpt
BACKGROUND: Epidermal growth factor receptor (EGFR) genotype is crucial for treatment decision making in lung cancer, but it can be affected by tumour heterogeneity and invasive biopsy during gene sequencing. Importantly, not all patients with an EGFR mutation have good prognosis with EGFR-tyrosine kinase inhibitors (TKIs), indicating the necessity of stratifying for EGFR-mutant genotype. In this study, we...
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