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肿瘤微环境强烈影响胶质母细胞瘤的主转录调控因子和基因表达谱。

The tumor microenvironment strongly impacts master transcriptional regulators and gene expression class of glioblastoma.

机构信息

Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, Georgia 30322, USA.

出版信息

Am J Pathol. 2012 May;180(5):2108-19. doi: 10.1016/j.ajpath.2012.01.040. Epub 2012 Mar 20.

DOI:10.1016/j.ajpath.2012.01.040
PMID:22440258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3354586/
Abstract

The Cancer Genome Atlas (TCGA) project has generated gene expression data that divides glioblastoma (GBM) into four transcriptional classes: proneural, neural, classical, and mesenchymal. Because transcriptional class is only partially explained by underlying genomic alterations, we hypothesize that the tumor microenvironment may also have an impact. In this study, we focused on necrosis and angiogenesis because their presence is both prognostically and biologically significant. These features were quantified in digitized histological images of TCGA GBM frozen section slides that were immediately adjacent to samples used for molecular analysis. Correlating these features with transcriptional data, we found that the mesenchymal transcriptional class was significantly enriched with GBM samples that contained a high degree of necrosis. Furthermore, among 2422 genes that correlated with the degree of necrosis in GBMs, transcription factors known to drive the mesenchymal expression class were most closely related, including C/EBP-β, C/EBP-δ, STAT3, FOSL2, bHLHE40, and RUNX1. Non-mesenchymal GBMs in the TCGA data set were found to become more transcriptionally similar to the mesenchymal class with increasing levels of necrosis. In addition, high expression levels of the master mesenchymal factors C/EBP-β, C/EBP-δ, and STAT3 were associated with a poor prognosis. Strong, specific expression of C/EBP-β and C/EBP-δ by hypoxic, perinecrotic cells in GBM likely account for their tight association with necrosis and may be related to their poor prognosis.

摘要

癌症基因组图谱(TCGA)项目生成了基因表达数据,将胶质母细胞瘤(GBM)分为四个转录类别:前神经型、神经型、经典型和间质型。由于转录类别仅部分由潜在的基因组改变解释,我们假设肿瘤微环境也可能有影响。在这项研究中,我们专注于坏死和血管生成,因为它们的存在在预后和生物学上都具有重要意义。这些特征在 TCGA GBM 冷冻切片幻灯片的数字化组织学图像中进行了量化,这些幻灯片与用于分子分析的样本相邻。将这些特征与转录数据相关联,我们发现间充质转录类别在包含高度坏死的 GBM 样本中明显富集。此外,在与 GBM 中坏死程度相关的 2422 个基因中,已知驱动间充质表达类别的转录因子最为密切相关,包括 C/EBP-β、C/EBP-δ、STAT3、FOSL2、bHLHE40 和 RUNX1。在 TCGA 数据集中,非间充质 GBM 随着坏死程度的增加,其转录组变得越来越类似于间充质类。此外,主间充质因子 C/EBP-β、C/EBP-δ 和 STAT3 的高表达水平与预后不良相关。在 GBM 中缺氧、坏死周围细胞中 C/EBP-β 和 C/EBP-δ 的强烈、特异性表达可能与其与坏死的紧密关联有关,并且可能与其预后不良有关。

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The proneural molecular signature is enriched in oligodendrogliomas and predicts improved survival among diffuse gliomas.前体细胞分子特征在少突胶质细胞瘤中富集,并可预测弥漫性神经胶质瘤患者的生存改善。
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