分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

Characterization of the genomic landscape and actionable mutations in Chinese breast cancers by clinical sequencing

Lang Guan-Tian, Jiang Yi-Zhou, Shi Jin-Xiu, Yang Fan, Li Xiao-Guang, Pei Yu-Chen, Zhang Chen-Hui, Ma Ding, Xiao Yi, Hu Peng-Chen, Wang Hai, Yang Yun-Song, Guo Lin-Wei, Lu Xun-Xi, Xue Meng-Zhu, Wang P

Journal:Nature Communications

IF:12.12

DOI:10.1038/s41467-020-19342-3

PMID:

Published:2020-11-10

research field:肿瘤学神经科学分子生物学癌症遗传学临床测序结构生物学基因组学表观遗传学

Abstract

The remarkable advances in next-generation sequencing technology have enabled the wide usage of sequencing as a clinical tool. To promote the advance of precision oncology for breast cancer in China, here we report a large-scale prospective clinical sequencing program using the Fudan-BC panel, and comprehensively analyze the clinical and genomic characteristics of Chinese breast cancer. The mutational landscape of 1,134 breast cancers reveals that the most significant differences between Chinese and Western patients occurred in the hormone receptor positive, human epidermal growth factor receptor 2 negative breast cancer subtype. Mutations in p53 and Hippo signaling pathways are more prevalent, and 2 mutually exclusive and 9 co-occurring patterns exist among 9 oncogenic pathways in our cohort. Further preclinical investigation partially suggests that NF2 loss-of-function mutations can be sensitive to a Hippo-targeted strategy. We establish a public database (Fudan Portal) and a precision medicine knowledge base for data exchange and interpretation. Collectively, our study presents a leading approach to Chinese precision oncology treatment and reveals potentially actionable mutations in breast cancer. Chinese breast cancer patients have not been well represented in clinical sequencing studies. Here the authors analyse the mutational landscape of 1,134 Chinese breast cancer patients, finding actionable targets and a higher prevalence of p53 and Hippo pathway mutations compared to Western cohorts.

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