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Identification of Hub Genes in Anaplastic Thyroid Carcinoma: Evidence From Bioinformatics Analysis

机译:鉴定血压甲状腺癌中枢基因的鉴定:来自生物信息学分析的证据

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摘要

Anaplastic thyroid carcinoma (ATC) is a rare type of thyroid cancer that results in fatal clinical outcomes; the pathogenesis of this life-threatening disease has yet to be fully elucidated. This study aims to identify the hub genes of ATC that may play key roles in ATC development and could serve as prognostic biomarkers or therapeutic targets. Two microarray datasets ({"type":"entrez-geo","attrs":{"text":"GSE33630","term_id":"33630"}}GSE33630 and {"type":"entrez-geo","attrs":{"text":"GSE53072","term_id":"53072"}}GSE53072) were obtained from the Gene Expression Omnibus database; these sets included 16 ATC and 49 normal thyroid samples. Differential expression analyses were performed for each dataset, and 420 genes were screened as common differentially expressed genes using the robust rank aggregation method. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted to explore the potential bio-functions of these differentially expressed genes (DEGs). The terms and enriched pathways were primarily associated with cell cycle, cell adhesion, and cancer-related signaling pathways. Furthermore, a protein-protein interaction network of DEG expression products was constructed using Cytoscape. Based on the whole network, we identified 7 hub genes that included CDK1, TOP2A, CDC20, KIF11, CCNA2, NUSAP1, and KIF2C. The expression levels of these hub genes were validated using quantitative polymerase chain reaction analyses of clinical specimens. In conclusion, the present study identified several key genes that are involved in ATC development and provides novel insights into the understanding of the molecular mechanisms of ATC development.
机译:气相生型甲状腺癌(ATC)是一种罕见的甲状腺癌,导致致命的临床结果;这种危及生命的疾病的发病机制尚未完全阐明。这项研究的目的是找出ATC的枢纽基因,可能在ATC发展中发挥重要作用,可作为预后生物标记物或治疗靶点。两个微阵列数据集({ “类型”: “的Entrez-缘”, “ATTRS”:{ “文本”: “GSE33630”, “term_id”: “33630”}} GSE33630和{ “类型”: “的Entrez-地理”, “attrs”:{“text”:“gse53072”,“term_id”:“53072”}} gse53072是从基因表达式omnibus数据库获得的;这些集合包括16个ATC和49正常甲状腺样品。对每个数据集进行差异表达分析,使用稳健的级级聚集方法作为常见的差异表达基因筛选420个基因。进行基因本体和京都基因植物和基因组富集分析,探讨这些差异表达基因(DEGS)的潜在生物功能。术语和富集的途径主要与细胞周期,细胞粘附和与癌症相关的信号通路相关。此外,使用Cytoscape构建DEG表达产物的蛋白质 - 蛋白质相互作用网络。基于整个网络,我们确定了包含CDK1,TOP2A,CDC20,KIF11,CCNA2,NUSAP1和KIF2C的7个枢纽基因。使用临床标本的定量聚合酶链反应分析来验证这些轮毂基因的表达水平。总之,本研究确定了涉及ATC开发的几个关键基因,并为理解ATC发育的分子机制提供了新的见解。

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