Kim Taeeun, Lee Ahwon, Ahn Stephan, Park Jae Sung, Jeun Sin Soo, Lee Youn Soo
Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Department of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Brain Tumor Res Treat. 2024 Jan;12(1):23-39. doi: 10.14791/btrt.2023.0036.
Glioma is caused by multiple genomic alterations. The evolving classification of gliomas emphasizes the significance of molecular testing. Next generation sequencing (NGS) offers the assessment of parallel combinations of multiple genetic alterations and identifying actionable mutations that guide treatment. This study comprehensively analyzed glioma patients using multi-gene NGS panels, providing powerful insights to inform diagnostic classification and targeted therapies.
We conducted a targeted panel-based NGS analysis on formalin-fixed and paraffin-embedded nucleic acids extracted from a total of 147 glioma patients. These samples underwent amplicon capture-based library preparation and sequenced using the Oncomine Comprehensive Assay platform. The resulting sequencing data were then analyzed using the bioinformatics tools.
A total of 301 mutations, were found in 132 out of 147 tumors (89.8%). These mutations were in 68 different genes. In 62 tumor samples (42.2%), copy number variations (CNVs) with gene amplifications occurred in 25 genes. Moreover, 25 tumor samples (17.0%) showed gene fusions in 6 genes and intragenic deletion in a gene. Our analysis identified actionable targets in several genes, including 11 with mutations, 8 with CNVs, and 3 with gene fusions and intragenic deletion. These findings could impact FDA-approved therapies, NCCN guideline-based treatments, and clinical trials.
We analyzed precisely diagnosing the classification of gliomas, detailing the frequency and co-occurrence of genetic alterations and identifying genetic alterations with potential therapeutic targets by NGS-based molecular analysis. The high-throughput NGS analysis is an efficient and powerful tool to comprehensively support molecular testing in neurooncology.
胶质瘤由多种基因组改变引起。胶质瘤不断演变的分类强调了分子检测的重要性。下一代测序(NGS)可评估多种基因改变的平行组合,并识别指导治疗的可操作突变。本研究使用多基因NGS面板对胶质瘤患者进行了全面分析,为诊断分类和靶向治疗提供了有力见解。
我们对从总共147例胶质瘤患者中提取的福尔马林固定石蜡包埋核酸进行了基于靶向面板的NGS分析。这些样本经过基于扩增子捕获的文库制备,并使用Oncomine综合检测平台进行测序。然后使用生物信息学工具对所得测序数据进行分析。
在147个肿瘤中的132个(89.8%)中总共发现了301个突变。这些突变存在于68个不同的基因中。在62个肿瘤样本(42.2%)中,25个基因发生了伴有基因扩增的拷贝数变异(CNV)。此外,25个肿瘤样本(17.0%)在6个基因中显示出基因融合,在1个基因中显示出基因内缺失。我们的分析在几个基因中鉴定出了可操作的靶点,包括11个有突变的基因、8个有CNV的基因以及3个有基因融合和基因内缺失的基因。这些发现可能会影响美国食品药品监督管理局(FDA)批准的疗法、基于美国国立综合癌症网络(NCCN)指南的治疗以及临床试验。
我们通过基于NGS的分子分析精确诊断了胶质瘤的分类,详细说明了基因改变的频率和共现情况,并识别出了具有潜在治疗靶点的基因改变。高通量NGS分析是全面支持神经肿瘤学分子检测的一种高效且强大的工具。