INSERM, Unité 711, Paris, France.
Brain Pathol. 2010 Jan;20(1):28-38. doi: 10.1111/j.1750-3639.2009.00274.x. Epub 2009 Mar 3.
Over the years, several relevant biomarkers with a potential clinical interest have been identified in gliomas using various techniques, such as karyotype, microsatellite analysis, fluorescent in situ hybridization and chromosome comparative genomic hybridization. Despite their pivotal contribution to our understanding of gliomas biology, clinical application of these approaches has been limited by technological and clinical complexities. In contrast, genomic arrays (array-based comparative genomic hybridization and single nucleotide polymorphisms array) have emerged as promising technologies for clinical use in the setting of gliomas. Indeed, their feasibility and reliability have been rigorously assessed in gliomas and are discussed in this review. The well-known genomic biomarkers in gliomas are in fact readily and reliably identified using genomic arrays. Moreover, it detects a multitude of new cryptic genomic markers, with potential biological and/or clinical significances. The main studies dedicated to genomic characterization of gliomas using genomic arrays are reviewed here. Interestingly, several recurrent genomic signatures have been reported by different teams, suggesting the validity of these genomic patterns. In light of this, genomic arrays are relatively simple and cost-effective techniques whose implementation in molecular diagnostic laboratories should be encouraged as a valuable clinical tool for management of glioma patients.
多年来,使用各种技术(如核型分析、微卫星分析、荧光原位杂交和染色体比较基因组杂交)在神经胶质瘤中已经确定了几个具有潜在临床意义的相关生物标志物。尽管这些生物标志物对我们了解神经胶质瘤的生物学具有重要贡献,但由于技术和临床的复杂性,这些方法的临床应用受到了限制。相比之下,基因组芯片(基于阵列的比较基因组杂交和单核苷酸多态性芯片)已成为神经胶质瘤临床应用的有前途的技术。事实上,它们在神经胶质瘤中的可行性和可靠性已经得到了严格评估,并在本文中进行了讨论。事实上,使用基因组芯片可以方便、可靠地识别神经胶质瘤中众所周知的基因组生物标志物。此外,它还可以检测到大量新的隐匿性基因组标记,具有潜在的生物学和/或临床意义。本文回顾了专门用于使用基因组芯片对神经胶质瘤进行基因组特征分析的主要研究。有趣的是,不同的研究小组报告了几个常见的基因组特征,这表明了这些基因组模式的有效性。鉴于此,基因组芯片是一种相对简单且具有成本效益的技术,应该鼓励在分子诊断实验室中实施,作为管理神经胶质瘤患者的有价值的临床工具。