Core Canonical Pathways Involved in Developing Human Glioblastoma Multiforme (GBM).
Core Canonical Pathways Involved in Developing Human Glioblastoma Multiforme (GBM).
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发表时间：
2017-02
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通讯作者：
Somiranjan Ghosh;S. Dutta;G. Thorne;Ava M. Boston;A. Barfield;Narendra Banerjee;Rayshawn Walker;H. Banerjee
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作者：
Somiranjan Ghosh;S. Dutta;G. Thorne;Ava M. Boston;A. Barfield;Narendra Banerjee;Rayshawn Walker;H. Banerjee
多形性胶质母细胞瘤（GBM）是最常见和最具侵袭性的原发性脑肿瘤，具有坏死和血管增生的病理特征。GBM的诊断目前主要基于脑肿瘤组织的组织学检查，放射学表征和手术活检后。在分子水平上全面表征肿瘤的能力提高了诊断的可能性，即可以根据分子谱进行诊断，有或没有组织学检查，而不仅仅是组织学表型。新的基因组学和蛋白质组学技术的发展将促进这种诊断和预后分子标志物的鉴定。我们分析了GBM细胞系HTB 15与正常人类星形胶质细胞相比的全局差异基因表达，并使用全局基因表达微阵列结合独创性途径分析建立了一些对于确定癌症分子机制至关重要的经典途径（IPA®）。总的来说，我们在实验模型中揭示了一个离散的基因表达谱，类似于GBM癌症的进展。经典途径分析显示，在这种疾病状况中差异表达的基因包括肌醇途径、波罗样激酶、nNOS信号传导和四吡咯生物合成。我们的研究结果表明，这种可怕的脑癌的基因表达模式可能会帮助癌症研究界找到新的治疗策略来对抗这种可怕的癌症类型，从而识别出这类高风险人群，死亡率几乎为100%。
Glioblastoma multiforme (GBM) is the most common and aggressive type of the primary brain tumors with pathologic hallmarks of necrosis and vascular proliferation. The diagnosis of GBM is currently mostly based on histological examination of brain tumor tissues, after radiological characterization and surgical biopsy. The ability to characterize tumors comprehensively at the molecular level raises the possibility that diagnosis can be made based on molecular profiling with or without histological examination, rather than solely on histological phenotype. The development of novel genomic and proteomic techniques will foster in the identification of such diagnostic and prognostic molecular markers. We analyzed the global differential gene expression of a GBM cell line HTB15 in comparison to normal human Astrocytes, and established a few canonical pathways that are important in determining the molecular mechanisms of cancer using global gene expression microarray, coupled with the Ingenuity Pathway Analysis (IPA®). Overall, we revealed a discrete gene expression profile in the experimental model that resembled progression of GBM cancer. The canonical pathway analysis showed the involvement of genes that differentially expressed in such a disease condition that included Inositol pathway, Polo like kinases, nNOS signaling, and Tetrapyrrole biosynthesis. Our findings established that the gene expression pattern of this dreaded brain cancer will probably help the cancer research community by finding out newer therapeutic strategies to combat this dreaded cancer type that leads to the identification of high-risk population in this category, with almost hundred percent mortality rate.