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源自亚型特异性细胞模型的血管生成基因特征可区分神经干细胞型和间充质型胶质母细胞瘤。

Angiogenic Gene Signature Derived from Subtype Specific Cell Models Segregate Proneural and Mesenchymal Glioblastoma.

作者信息

Sharma Aman, Bendre Ajinkya, Mondal Abir, Muzumdar Dattatraya, Goel Naina, Shiras Anjali

机构信息

National Centre for Cell Science (NCCS), SP Pune University Campus, Pune, India.

ExoCan Healthcare Technologies Pvt Ltd, Venture Centre, NCL Innovation Park, Pune, India.

出版信息

Front Oncol. 2017 Jul 11;7:146. doi: 10.3389/fonc.2017.00146. eCollection 2017.

Abstract

Intertumoral molecular heterogeneity in glioblastoma identifies four major subtypes based on expression of molecular markers. Among them, the two clinically interrelated subtypes, proneural and mesenchymal, are the most aggressive with proneural liable for conversion to mesenchymal upon therapy. Using two patient-derived novel primary cell culture models (MTA10 and KW10), we developed a minimal but unique four-gene signature comprising genes vascular endothelial growth factor A (VEGF-A), vascular endothelial growth factor B (VEGF-B) and angiopoietin 1 (ANG1), angiopoietin 2 (ANG2) that effectively segregated the proneural (MTA10) and mesenchymal (KW10) glioblastoma subtypes. The cell culture preclassified as mesenchymal showed elevated expression of genes VEGF-A, VEGF-B and ANG1, ANG2 as compared to the other cell culture model that mimicked the proneural subtype. The differentially expressed genes in these two cell culture models were confirmed by us using TCGA and Verhaak databases and we refer to it as a minimal multigene signature (MMS). We validated this MMS on human glioblastoma tissue sections with the use of immunohistochemistry on preclassified (YKL-40 high or mesenchymal glioblastoma and OLIG2 high or proneural glioblastoma) tumor samples ( = 30). MMS segregated mesenchymal and proneural subtypes with 83% efficiency using a simple histopathology scoring approach ( = 0.008 for ANG2 and  = 0.01 for ANG1). Furthermore, MMS expression negatively correlated with patient survival. Importantly, MMS staining demonstrated spatiotemporal heterogeneity within each subclass, adding further complexity to subtype identification in glioblastoma. In conclusion, we report a novel and simple sequencing-independent histopathology-based biomarker signature comprising genes VEGF-A, VEGF-B and ANG1, ANG2 for subtyping of proneural and mesenchymal glioblastoma.

摘要

胶质母细胞瘤的肿瘤间分子异质性基于分子标志物的表达确定了四种主要亚型。其中,两种临床上相互关联的亚型,即神经干细胞样型和间充质型,最为侵袭性,神经干细胞样型在治疗后易于转变为间充质型。利用两种源自患者的新型原代细胞培养模型(MTA10和KW10),我们开发了一个最小但独特的四基因特征,包括血管内皮生长因子A(VEGF-A)、血管内皮生长因子B(VEGF-B)、血管生成素1(ANG1)和血管生成素2(ANG2),该特征有效地分离了神经干细胞样型(MTA10)和间充质型(KW10)胶质母细胞瘤亚型。与模拟神经干细胞样型的另一种细胞培养模型相比,预先分类为间充质型的细胞培养显示VEGF-A、VEGF-B和ANG1、ANG2基因的表达升高。我们使用TCGA和Verhaak数据库证实了这两种细胞培养模型中差异表达的基因,我们将其称为最小多基因特征(MMS)。我们通过对预先分类(YKL-40高或间充质型胶质母细胞瘤和OLIG2高或神经干细胞样型胶质母细胞瘤)的肿瘤样本(n = 30)进行免疫组织化学,在人胶质母细胞瘤组织切片上验证了该MMS。MMS使用简单的组织病理学评分方法以83%的效率分离了间充质型和神经干细胞样型亚型(ANG2的p = 0.008,ANG1的p = 0.01)。此外,MMS表达与患者生存率呈负相关。重要的是,MMS染色显示每个亚类内存在时空异质性,这增加了胶质母细胞瘤亚型识别的进一步复杂性。总之,我们报告了一种基于组织病理学的新型且简单的与测序无关的生物标志物特征,包括VEGF-A、VEGF-B和ANG1、ANG2基因,用于神经干细胞样型和间充质型胶质母细胞瘤的亚型分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c76b/5504164/bd921a664e3d/fonc-07-00146-g001.jpg

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