Patterson John D, Wongsurawat Thidathip, Rodriguez Analiz
Department of Neurological Surgery, University of Arkansas for Medical Sciences.
Department of Biomedical Informatics, University of Arkansas for Medical Sciences.
Med Res Arch. 2020 Feb;8(2). doi: 10.18103/mra.v8i2.2034. Epub 2020 Feb 21.
New discoveries in Glioblastoma (GBM) biology have been made using genomics data. Genomic markers are routinely integrated into clinical neurosurgical practice. In this manuscript, we review the fundamentals of genomics such as the differences between first, second, and third generation sequencing technology. We also review the impact of single cell genomics in understanding the complex heterogenous GBM microenvironment. Finally, we will discuss advances in epigenetics that have lent insights into treatment resistance. The integration of genomics into neuro-oncology clinical practice is routine and will continue to expand with the expansion of precision of medicine. We provide a primer for clinicians.
利用基因组学数据在胶质母细胞瘤(GBM)生物学方面取得了新发现。基因组标记已常规纳入临床神经外科实践。在本手稿中,我们回顾了基因组学的基础知识,如第一代、第二代和第三代测序技术之间的差异。我们还回顾了单细胞基因组学在理解复杂异质性GBM微环境方面的影响。最后,我们将讨论表观遗传学方面的进展,这些进展为治疗耐药性提供了见解。基因组学融入神经肿瘤学临床实践已成为常规操作,并且随着精准医学精度的提高将继续扩大。我们为临床医生提供了一份入门指南。