Literature DB >> 30389703

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

Di Wang1,2,3, Xiaohui Niu4, Zhijie Wang1, Cheng-Li Song5, Zhen Huang4, Ke-Neng Chen6, Jianchun Duan1, Hua Bai1, Jiachen Xu1, Jun Zhao11, Yu Wang8, Minglei Zhuo7, X Sunney Xie3,9, Xiaozheng Kang6, Yanhua Tian1,2, Liangliang Cai1, Jie-Fei Han1, Tongtong An7, Yu Sun10, Shugeng Gao11, Jun Zhao11, Jianming Ying12, Luhua Wang13, Jie He11, Jie Wang14.   

Abstract

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 PI3K-Akt pathway at both the early and late stages of tumor evolution and in the MAPK 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. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 30389703     DOI: 10.1158/0008-5472.CAN-18-1086

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  39 in total

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6.  RGB-Marking to Identify Patterns of Selection and Neutral Evolution in Human Osteosarcoma Models.

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10.  Deregulation of CLTC interacts with TFG, facilitating osteosarcoma via the TGF-beta and AKT/mTOR signaling pathways.

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