Multiregion Sequencing Reveals the Genetic Heterogeneity and Evolutionary History of Osteosarcoma and Matched Pulmonary Metastases

• Published in: Cancer research (Chicago, Ill.) Ill.), 2019-01, Vol.79 (1), p.7-20
• Main Authors: Wang, Di, Niu, Xiaohui, Wang, Zhijie, Song, Cheng-Li, Huang, Zhen, Chen, Ke-Neng, Duan, Jianchun, Bai, Hua, Xu, Jiachen, Zhao, Jun, Wang, Yu, Zhuo, Minglei, Xie, X Sunney, Kang, Xiaozheng, Tian, Yanhua, Cai, Liangliang, Han, Jie-Fei, An, Tongtong, Sun, Yu, Gao, Shugeng, Ying, Jianming, Wang, Luhua, He, Jie, Wang, Jie
• Format: Article
• Language: English
• ISSN: 0008-5472; 1538-7445
• DOI: 10.1158/0008-5472.can-18-1086

: Osteosarcoma is the most common primary bone malignancy, and the lung is the most frequent site of metastasis. The limited understanding of the tumoral heterogeneity and evolutionary process of genomic alterations in pulmonary metastatic osteosarcoma impedes development of novel therapeutic strategies. Here we systematically illustrate the genomic disparities between primary tumors and corresponding pulmonary metastatic tumors by multiregional whole-exome and whole-genome sequencing in 86 tumor regions from 10 patients with osteosarcoma. Metastatic tumors exhibited a significantly higher mutational burden and genomic instability compared with primary tumors, possibly due to accumulation of mutations caused by a greater number of alterations in DNA damage response genes in metastatic tumors. Integrated analysis of the architecture and relationships of subclones revealed a dynamic mutational process and diverse dissemination patterns of osteosarcoma during pulmonary metastasis (6/10 with linear and 4/10 with parallel evolutionary patterns). All patients demonstrated more significant intertumoral rather than intratumoral heterogeneity between primary tumors and metastatic tumors. Mutated genes were enriched in the pathway at both the early and late stages of tumor evolution and in the pathway at the metastatic stage. Conversely, metastatic tumors showed improved immunogenicity, including higher neoantigen load, elevated PD-L1 expression, and tumor-infiltrating lymphocytes than the corresponding primary tumors. Our study is the first to report the dynamic evolutionary process and temporospatial tumor heterogeneity of pulmonary metastatic osteosarcoma, providing new insights for diagnosis and potential therapeutic strategies for pulmonary metastasis. SIGNIFICANCE: High-throughput sequencing of primary and metastatic osteosarcoma provides new insights into the diagnosis of and potential clinical therapeutic strategies for pulmonary metastasis.