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肿瘤纯度是脑胶质瘤的一个潜在关键因素。

Tumor Purity as an Underlying Key Factor in Glioma.

机构信息

Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.

Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China.

出版信息

Clin Cancer Res. 2017 Oct 15;23(20):6279-6291. doi: 10.1158/1078-0432.CCR-16-2598. Epub 2017 Jul 28.

Abstract

Glioma tissues consist of not only glioma cells but also glioma-associated nontumor cells, such as stromal cells and immune cells. These nontumor cells dilute the purity of glioma cells and play important roles in glioma biology. Currently, the implications of variation in glioma purity are not sufficiently clarified. Here, tumor purity was inferred for 2,249 gliomas and 29 normal brain tissues from 5 cohorts. Based on the transcriptomic profiling method, we classified CGGA and TCGA-RNAseq cohorts as the RNAseq set for discovery. Cases from TCGA-microarray, REMBRANDT, and GSE16011 cohorts were grouped as a microarray set for validation. Tissues from the CGGA cohort were reviewed for histopathologic validation. We found that glioma purity was highly associated with major clinical and molecular features. Low purity cases were more likely to be diagnosed as malignant entities and independently correlated with reduced survival time. Integrating glioma purity into prognostic nomogram significantly improved the predictive validity. Moreover, most recognized prognostic indicators were no longer significantly effective under different purity conditions. These results highlighted the clinical importance of glioma purity. Further analyses found distinct genomic patterns associated with glioma purity. Low purity cases were distinguished by enhanced immune phenotypes. Macrophages, microglia, and neutrophils were mutually associated and enriched in low purity gliomas, whereas only macrophages and neutrophils served as robust indicators for poor prognosis. Glioma purity and relevant nontumor cells within microenvironment confer important clinical, genomic, and biological implications, which should be fully valued for precise classification and clinical prediction. .

摘要

神经胶质瘤组织不仅包含神经胶质瘤细胞,还包含神经胶质瘤相关的非肿瘤细胞,如基质细胞和免疫细胞。这些非肿瘤细胞降低了神经胶质瘤细胞的纯度,并在神经胶质瘤生物学中发挥重要作用。目前,神经胶质瘤纯度变化的影响尚不清楚。在这里,我们推断了来自 5 个队列的 2249 例神经胶质瘤和 29 例正常脑组织的肿瘤纯度。基于转录组分析方法,我们将 CGGA 和 TCGA-RNAseq 队列分类为发现的 RNAseq 集。来自 TCGA-microarray、REMBRANDT 和 GSE16011 队列的病例被分为微阵列集进行验证。CGGA 队列的组织进行了组织病理学验证。我们发现神经胶质瘤纯度与主要的临床和分子特征高度相关。低纯度病例更有可能被诊断为恶性实体,并且与生存时间缩短独立相关。将神经胶质瘤纯度纳入预后列线图显著提高了预测的有效性。此外,大多数公认的预后指标在不同的纯度条件下不再具有显著效果。这些结果强调了神经胶质瘤纯度的临床重要性。进一步的分析发现与神经胶质瘤纯度相关的独特基因组模式。低纯度病例的免疫表型增强。巨噬细胞、小胶质细胞和中性粒细胞相互关联并在低纯度神经胶质瘤中富集,而只有巨噬细胞和中性粒细胞是预后不良的可靠指标。神经胶质瘤纯度和相关的非肿瘤细胞在微环境中赋予重要的临床、基因组和生物学意义,应充分重视,以实现精确分类和临床预测。

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