1.1)Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China;2.2)Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China;3.3)Center of Systems Biology and Human Health, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China;4.4)State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
This work was supported by grants from The National Natural Science Foundation of China (31922088), Research Grant Council (N_HKUST606/17, 26102719, C6002-17GF, C7065-18GF, R4017-18) and Innovation and Technology Commission (ITCPD/17-9, ITS/480/18FP).
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.
LUI Ming-Hong, JIANG Biao-Bin, BAO Zhao-Shi, 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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