| 脑胶质瘤治疗相关时空演化机制及其在精准治疗中的应用 |
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| 引用本文： | 吕明康,蒋彪彬,保肇实,王吉光.脑胶质瘤治疗相关时空演化机制及其在精准治疗中的应用[J].生物化学与生物物理进展,2019,46(11):1055-1062. |
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| 作者姓名： | 吕明康 蒋彪彬 保肇实 王吉光 |
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| 作者单位： | 1) 香港科技大学化学及生物工程学系，中国香港,1) 香港科技大学化学及生物工程学系，中国香港,2)香港科技大学生命科学部，中国香港,1) 香港科技大学化学及生物工程学系，中国香港;2)香港科技大学生命科学部，中国香港;3)香港科技大学系统生物学及人类健康中心，中国香港;4) 香港科技大学分子神经科学国家重点实验室，中国香港 |
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| 基金项目： | 国家自然科学基金港澳优秀青年科学基金(31922088),香港特别行政区大学教育资助委员会基金（N_HKUST606/17，26102719，C7065-18GF，C6002-17GF，R4017-18）和香港特别行政区政府创新科技署基金（ITCPD/17-9，ITS/480/18FP）资助项目. |
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| 摘 要： | 胶质母细胞瘤是成人中最恶性的颅内肿瘤，但其治疗方式在过去数十年未有突破. 随着近年精准医学和下一代测序技术的发展，使研究胶质母细胞瘤背后多维基因组学的复杂机制成为可能. 其中继发胶质母细胞瘤及与其配对的原发肿瘤是十分珍贵的数据，可用以分析低级别胶质瘤在时间和空间轴上的演化以及治疗对肿瘤的影响. 本综述阐述胶质母细胞瘤的复杂性，包括各种驱动突变、空间上的异形性和不同的演化方式；此外，会讨论如何将这些基因学上的发现应用在肿瘤预后的预测以及精准治疗上.
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| 关 键 词： | 胶质母细胞瘤 分子基因学 群落演化 |
| 收稿时间： | 2019/9/18 0:00:00 |
| 修稿时间： | 2019/9/18 0:00:00 |
A Mini-review on Spatiotemporal Evolution of Glioma Under Treatment |
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| LUI Ming-Hong,JIANG Biao-Bin,BAO Zhao-Shi and WANG Jiguang.A Mini-review on Spatiotemporal Evolution of Glioma Under Treatment[J].Progress In Biochemistry and Biophysics,2019,46(11):1055-1062. |
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| Authors: | LUI Ming-Hong JIANG Biao-Bin BAO Zhao-Shi and WANG Jiguang |
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| Institution: | 1) Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China,1) Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China,2)Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China,1) Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China;2)Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China;3) Center of Systems Biology and Human Health, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China;4)State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China |
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| Abstract: | Glioblastoma is the most malignant form of brain tumors in adults. Therapeutic development has been stagnant for decades until recent years. With the advent of precision medicine and next generation sequencing, it is crucial to examine the complex mechanisms underlying this deadly disease for accurate prognostic prediction. Secondary or recurrent glioblastomas with matched initial tumors are invaluable cases to study, as they allow us to understand glioma progression over time and space with resistance to treatment. Here we review the complexities within glioblastomas, including a wide array of driver alterations, spatial heterogeneity and diverging evolutionary trajectories over time, and how these knowledge can facilitate prognostic prediction and therapeutic translation. |
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| Keywords: | glioblastoma molecular features clonal evolution |
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