Sathyan Pratheesh, Zinn Pascal O, Marisetty Anantha L, Liu Bin, Kamal Mohamed Mostafa, Singh Sanjay K, Bady Pierre, Lu Li, Wani Khalida M, Veo Bethany L, Gumin Joy, Kassem Dina Hamada, Robinson Frederick, Weng Connie, Baladandayuthapani Veerabhadran, Suki Dima, Colman Howard, Bhat Krishna P, Sulman Erik P, Aldape Ken, Colen Rivka R, Verhaak Roel G W, Lu Zhimin, Fuller Gregory N, Huang Suyun, Lang Frederick F, Sawaya Raymond, Hegi Monika, Majumder Sadhan
Departments of Genetics, Department of Clinical Neurosciences, University Hospital (CHUV BH19-110), Lausanne 1011, Switzerland, and.
Departments of Genetics.
J Neurosci. 2015 Nov 11;35(45):15097-112. doi: 10.1523/JNEUROSCI.1265-15.2015.
Glioblastoma (GBM) is the most aggressive human brain tumor. Although several molecular subtypes of GBM are recognized, a robust molecular prognostic marker has yet to be identified. Here, we report that the stemness regulator Sox2 is a new, clinically important target of microRNA-21 (miR-21) in GBM, with implications for prognosis. Using the MiR-21-Sox2 regulatory axis, approximately half of all GBM tumors present in the Cancer Genome Atlas (TCGA) and in-house patient databases can be mathematically classified into high miR-21/low Sox2 (Class A) or low miR-21/high Sox2 (Class B) subtypes. This classification reflects phenotypically and molecularly distinct characteristics and is not captured by existing classifications. Supporting the distinct nature of the subtypes, gene set enrichment analysis of the TCGA dataset predicted that Class A and Class B tumors were significantly involved in immune/inflammatory response and in chromosome organization and nervous system development, respectively. Patients with Class B tumors had longer overall survival than those with Class A tumors. Analysis of both databases indicated that the Class A/Class B classification is a better predictor of patient survival than currently used parameters. Further, manipulation of MiR-21-Sox2 levels in orthotopic mouse models supported the longer survival of the Class B subtype. The MiR-21-Sox2 association was also found in mouse neural stem cells and in the mouse brain at different developmental stages, suggesting a role in normal development. Therefore, this mechanism-based classification suggests the presence of two distinct populations of GBM patients with distinguishable phenotypic characteristics and clinical outcomes.
Molecular profiling-based classification of glioblastoma (GBM) into four subtypes has substantially increased our understanding of the biology of the disease and has pointed to the heterogeneous nature of GBM. However, this classification is not mechanism based and its prognostic value is limited. Here, we identify a new mechanism in GBM (the miR-21-Sox2 axis) that can classify ∼50% of patients into two subtypes with distinct molecular, radiological, and pathological characteristics. Importantly, this classification can predict patient survival better than the currently used parameters. Further, analysis of the miR-21-Sox2 relationship in mouse neural stem cells and in the mouse brain at different developmental stages indicates that miR-21 and Sox2 are predominantly expressed in mutually exclusive patterns, suggesting a role in normal neural development.
胶质母细胞瘤(GBM)是最具侵袭性的人类脑肿瘤。尽管已识别出GBM的几种分子亚型,但尚未确定一种可靠的分子预后标志物。在此,我们报告干性调节因子Sox2是GBM中微小RNA-21(miR-21)的一个新的、具有临床重要性的靶点,对预后有影响。利用MiR-21-Sox2调控轴,癌症基因组图谱(TCGA)和内部患者数据库中约一半的GBM肿瘤在数学上可分为高miR-21/低Sox2(A类)或低miR-21/高Sox2(B类)亚型。这种分类反映了表型和分子上的不同特征,现有分类未涵盖这些特征。支持这些亚型的独特性质,对TCGA数据集的基因集富集分析预测,A类和B类肿瘤分别显著参与免疫/炎症反应以及染色体组织和神经系统发育。B类肿瘤患者的总生存期长于A类肿瘤患者。对两个数据库的分析表明,A类/B类分类比目前使用的参数更能预测患者的生存情况。此外,在原位小鼠模型中对MiR-21-Sox2水平的操控支持了B类亚型更长的生存期。在小鼠神经干细胞和不同发育阶段的小鼠脑中也发现了MiR-21-Sox2关联,表明其在正常发育中起作用。因此,这种基于机制的分类表明存在两个具有可区分表型特征和临床结果的GBM患者群体。
基于分子谱将胶质母细胞瘤(GBM)分为四种亚型极大地增进了我们对该疾病生物学的理解,并指出了GBM的异质性。然而,这种分类并非基于机制,其预后价值有限。在此,我们在GBM中识别出一种新机制(miR-21-Sox2轴),该机制可将约50%的患者分为具有不同分子、放射学和病理学特征的两个亚型。重要的是,这种分类比目前使用的参数更能预测患者生存情况。此外,对不同发育阶段小鼠神经干细胞和小鼠脑中miR-21-Sox2关系的分析表明,miR-21和Sox2主要以相互排斥的模式表达,表明其在正常神经发育中起作用。