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从核心到边缘:胶质母细胞瘤瘤内异质性的基因组图景

From the core to beyond the margin: a genomic picture of glioblastoma intratumor heterogeneity.

作者信息

Aubry Marc, de Tayrac Marie, Etcheverry Amandine, Clavreul Anne, Saikali Stéphan, Menei Philippe, Mosser Jean

机构信息

Université Rennes1, UEB, UMS 3480 Biosit, Faculté de Médecine, Rennes F-35043, France.

Plate-forme Génomique Santé Biosit, Université Rennes1, Rennes F-35043, France.

出版信息

Oncotarget. 2015 May 20;6(14):12094-109. doi: 10.18632/oncotarget.3297.

Abstract

Glioblastoma (GB) is a highly invasive primary brain tumor that almost systematically recurs despite aggressive therapies. One of the most challenging problems in therapy of GB is its extremely complex and heterogeneous molecular biology. To explore this heterogeneity, we performed a genome-wide integrative screening of three molecular levels: genome, transcriptome, and methylome. We analyzed tumor biopsies obtained by neuro-navigation in four distinct areas for 10 GB patients (necrotic zone, tumor zone, interface, and peripheral brain zone). We classified samples and deciphered a key genes signature of intratumor heterogeneity by Principal Component Analysis and Weighted Gene Co-expression Network Analysis. At the genome level, we identified common GB copy number alterations and but a strong interindividual molecular heterogeneity. Transcriptome analysis highlighted a pronounced intratumor architecture reflecting the surgical sampling plan of the study and identified gene modules associated with hallmarks of cancer. We provide a signature of key cancer-heterogeneity genes highly associated with the intratumor spatial gradient and show that it is enriched in genes with correlation between methylation and expression levels. Our study confirms that GBs are molecularly highly diverse and that a single tumor can harbor different transcriptional GB subtypes depending on its spatial architecture.

摘要

胶质母细胞瘤(GB)是一种具有高度侵袭性的原发性脑肿瘤,尽管采用了积极的治疗方法,但几乎总会复发。GB治疗中最具挑战性的问题之一是其极其复杂且异质性的分子生物学特性。为了探究这种异质性,我们对基因组、转录组和甲基化组三个分子水平进行了全基因组整合筛选。我们分析了通过神经导航从10例GB患者的四个不同区域(坏死区、肿瘤区、边界区和外周脑区)获取的肿瘤活检样本。我们通过主成分分析和加权基因共表达网络分析对样本进行分类,并破译了肿瘤内异质性的关键基因特征。在基因组水平上,我们识别出了常见的GB拷贝数改变,但个体间分子异质性很强。转录组分析突出了明显的肿瘤内结构,这反映了该研究的手术取样方案,并识别出了与癌症特征相关的基因模块。我们提供了一个与肿瘤内空间梯度高度相关的关键癌症异质性基因特征,并表明它在甲基化和表达水平具有相关性的基因中富集。我们的研究证实,GB在分子水平上高度多样,并且单个肿瘤根据其空间结构可能包含不同的转录GB亚型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da6/4494925/89a45b25b930/oncotarget-06-12094-g001.jpg

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