Wang Lei, Yu Zhengtao, Sun Shaiqi, Peng Jun, Xiao Rongjun, Chen Shengpan, Zuo Xiaokun, Cheng Quan, Xia Ying
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Rev Neurosci. 2017 May 24;28(4):375-380. doi: 10.1515/revneuro-2016-0066.
The current grade classification system of gliomas is based on the histopathological features of these tumors and has great significance in defining groups of patients for clinical assessment. However, this classification system is also associated with a number of limitations, and as such, additional clinical assessment criteria are required. Long non-coding RNAs (lncRNAs) play a critical role in cellular functions and are currently regarded as potential biomarkers for glioma diagnosis and prognosis. Therefore, the molecular classification of glioma based on lncRNA expression may provide additional information to assist in the systematic identification of glioma. In the present paper, we review the emerging evidence indicating that specific lncRNAs may have the potential for use as key novel biomarkers and thus provide a powerful tool for the systematic diagnosis of glioma.
目前的胶质瘤分级分类系统是基于这些肿瘤的组织病理学特征，在为临床评估定义患者群体方面具有重要意义。然而，该分类系统也存在一些局限性，因此需要额外的临床评估标准。长链非编码RNA（lncRNA）在细胞功能中起关键作用，目前被视为胶质瘤诊断和预后的潜在生物标志物。因此，基于lncRNA表达的胶质瘤分子分类可能会提供额外信息，以协助对胶质瘤进行系统识别。在本文中，我们综述了新出现的证据，表明特定的lncRNA可能有潜力用作关键的新型生物标志物，从而为胶质瘤的系统诊断提供有力工具。
