精密医学
生殖系
乳腺癌
生物
癌症
计算生物学
临床试验
生命银行
个性化医疗
基因组学
遗传学
生物信息学
基因组
基因
作者
Caijin Lin,Xi Jin,Ding Ma,Chao Chen,Yang Ou-Yang,Yu-Chen Pei,Chaozheng Zhou,Feilin Qu,Yunjin Wang,Chenglin Liu,Lei Fan,Xin Hu,Zhi‐Ming Shao,Yi‐Zhou Jiang
出处
期刊:Cancer Cell
[Elsevier]
日期:2024-04-01
卷期号:42 (4): 701-719.e12
被引量:1
标识
DOI:10.1016/j.ccell.2024.03.006
摘要
Co-occurrence and mutual exclusivity of genomic alterations may reflect the existence of genetic interactions, potentially shaping distinct biological phenotypes and impacting therapeutic response in breast cancer. However, our understanding of them remains limited. Herein, we investigate a large-scale multi-omics cohort (n = 873) and a real-world clinical sequencing cohort (n = 4,405) including several clinical trials with detailed treatment outcomes and perform functional validation in patient-derived organoids, tumor fragments, and in vivo models. Through this comprehensive approach, we construct a network comprising co-alterations and mutually exclusive events and characterize their therapeutic potential and underlying biological basis. Notably, we identify associations between TP53mut-AURKAamp and endocrine therapy resistance, germline BRCA1mut-MYCamp and improved sensitivity to PARP inhibitors, and TP53mut-MYBamp and immunotherapy resistance. Furthermore, we reveal that precision treatment strategies informed by co-alterations hold promise to improve patient outcomes. Our study highlights the significance of genetic interactions in guiding genome-informed treatment decisions beyond single driver alterations.
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