Mirchia Kanish, Richardson Timothy E
Department of Pathology, State University of New York, Upstate Medical University, Syracuse, NY 13210, USA.
Cancers (Basel). 2020 Jul 6;12(7):1817. doi: 10.3390/cancers12071817.
Diffuse gliomas are among the most common adult central nervous system tumors with an annual incidence of more than 16,000 cases in the United States. Until very recently, the diagnosis of these tumors was based solely on morphologic features, however, with the publication of the WHO Classification of Tumours of the Central Nervous System, revised 4th edition in 2016, certain molecular features are now included in the official diagnostic and grading system. One of the most significant of these changes has been the division of adult astrocytomas into IDH-wildtype and IDH-mutant categories in addition to histologic grade as part of the main-line diagnosis, although a great deal of heterogeneity in the clinical outcome still remains to be explained within these categories. Since then, numerous groups have been working to identify additional biomarkers and prognostic factors in diffuse gliomas to help further stratify these tumors in hopes of producing a more complete grading system, as well as understanding the underlying biology that results in differing outcomes. The field of neuro-oncology is currently in the midst of a "molecular revolution" in which increasing emphasis is being placed on genetic and epigenetic features driving current diagnostic, prognostic, and predictive considerations. In this review, we focus on recent advances in adult diffuse glioma biomarkers and prognostic factors and summarize the state of the field.
弥漫性胶质瘤是最常见的成人中枢神经系统肿瘤之一,在美国每年发病率超过16000例。直到最近,这些肿瘤的诊断仅基于形态学特征,然而,随着2016年第4版修订的《世界卫生组织中枢神经系统肿瘤分类》的出版,某些分子特征现在被纳入官方诊断和分级系统。这些变化中最显著的一点是,除了组织学分级作为主要诊断的一部分外,成人星形细胞瘤还被分为异柠檬酸脱氢酶(IDH)野生型和IDH突变型类别,尽管在这些类别中临床结果仍有大量异质性有待解释。从那时起,许多研究团队一直在努力寻找弥漫性胶质瘤的其他生物标志物和预后因素,以帮助进一步对这些肿瘤进行分层,希望建立一个更完善的分级系统,并了解导致不同结果的潜在生物学机制。神经肿瘤学领域目前正处于一场“分子革命”之中,越来越强调驱动当前诊断、预后和预测考量的遗传和表观遗传特征。在这篇综述中,我们重点关注成人弥漫性胶质瘤生物标志物和预后因素的最新进展,并总结该领域的现状。