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Clinical sequencing characterizes the genomic landscape and actionable mutations of Chinese breast cancer

CANCER RESEARCH(2020)

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Abstract
Here, we prospectively collected what is currently the largest Chinese breast cancer cohort of 1,143 patients for clinical sequencing and performed integrated analysis of their clinical and genomic characteristics. All samples were collected via needle biopsy. A custom-designed genetic panel was used in this study. The panel was a hybridization capture-based assay, including 484 genes that are targets of approved and experimental therapies as well as frequently mutated genes in breast cancer. The panel was designed for detecting mutations and small insertions and deletions. The highest prevalence of breast cancer-related variations observed in our Chinese cohort was TP53 mutations (53%), followed by PIK3CA (19%), NF1 (10%), GATA3 (9%) and KMT2C (9%) mutations. The hotspot mutations (with frequencies higher than 2%) in Chinese breast cancer included PIK3CA p. H1047R (10%), AKT1 p. E17K (4%), KMT2C p. K2797fs (2%) and TP53 p. R248Q (2%). PIK3CA and AKT1 mutations were found to be especially enriched in the Luminal (HER2-) subtype, NF1 and ERBB2 mutations were enriched in Luminal (HER2+) subtype, and PTEN mutations were enriched in triple negative breast cancer. In addition, there was significant disparity of mutation load among the different subtypes, suggesting a high mutation load in triple negative breast cancer. We further investigated the differences in mutational features between the Chinese cohort and foreign published cohorts, especially the TCGA and MSKCC breast cancer datasets, and revealed the distinction mainly existed in breast cancer of the HR+/HER2- subtype, while the other subtypes showed a similar mutation prevalence. We evaluated 9 canonical signaling pathways with frequent oncogenic alterations. The pathways that we analyzed included the cell cycle signaling, Hippo signaling, Notch signaling, PI-3-Kinase (PI3K) signaling, β-catenin/Wnt signaling, receptor-tyrosine (RTK)/RAS/MAP-Kinase (RTK-RAS) signaling, p53 signaling, TGF-β signaling and Myc signaling pathways. Alterations in the RTK-RAS pathway were exclusive to those in the PI3K pathway in hormone receptor (HR)-positive breast cancer and co-occurred with those in the Notch pathway in human epidermal growth factor receptor-2 (HER2)-positive, HR- and HER2-positive breast cancer. PI3K signaling pathway mutations were identified as a driving factor, and our finding revealed the competitively oncogenic role of mutations in the RTK-RAS pathway, especially in the HR+/HER2- subtype. Furthermore, we identified mutations in the P53 (53% versus 31%, p Citation Format: Guan-Tian Lang, Jin-Xiu Shi, Yi-Zhou Jiang, Xiao-Guang Li, Yu-Chen Pei, Fang-Lin Zhang, Chen-Hui Zhang, Ding Ma, Yi Xiao, Ke-Da Yu, Peng-Chen Hu, Ming-Liang Jin, Hai Wang, Yun-Song Yang, Xuan Luo, Qi Hong, Feng Qiao, Wei-Li Sun, Meng-Zhu Xue, Shi-Ping Li, A-Yong Cao, Zhong-Hua Wang, Jia-Xin Zhang, Gen-Hong Di, Peng Wang, Da-Qiang Li, Xin Hu, Wei Huang, Zhi-Ming Shao. Clinical sequencing characterizes the genomic landscape and actionable mutations of Chinese breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P4-09-01.
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Key words
chinese breast cancer,breast cancer,actionable mutations,genomic landscape
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