微阵列数据集的荟萃分析确定了几个与染色体分离相关的癌胚基因，它们可能与间变性甲状腺癌的发生有关。
Meta-analysis of microarray datasets identify several chromosome segregation-related cancer/testis genes potentially contributing to anaplastic thyroid carcinoma.
作者信息
Liu Mu, Qiu Yu-Lu, Jin Tong, Zhou Yin, Mao Zhi-Yuan, Zhang Yong-Jie
机构信息
The First Medical School of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China.
School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China.
出版信息
PeerJ. 2018 Oct 24;6:e5822. doi: 10.7717/peerj.5822. eCollection 2018.
AIM
Anaplastic thyroid carcinoma (ATC) is the most lethal thyroid malignancy. Identification of novel drug targets is urgently needed.
MATERIALS & METHODS: We re-analyzed several GEO datasets by systematic retrieval and data merging. Differentially expressed genes (DEGs) were filtered out. We also performed pathway enrichment analysis to interpret the data. We predicted key genes based on protein-protein interaction networks, weighted gene co-expression network analysis and genes' cancer/testis expression pattern. We also further characterized these genes using data from the Cancer Genome Atlas (TCGA) project and gene ontology annotation.
RESULTS
Cell cycle-related pathways were significantly enriched in upregulated genes in ATC. We identified , , , , , , , , and as cell cycle-related key genes with cancer/testis expression pattern. We further uncovered that most of these putative key genes were critical components during chromosome segregation.
CONCLUSION
We predicted several key genes harboring potential therapeutic value in ATC. Cell cycle-related processes, especially chromosome segregation, may be the key to tumorigenesis and treatment of ATC.
目的
间变性甲状腺癌（ATC）是最致命的甲状腺恶性肿瘤。迫切需要鉴定新的药物靶点。
材料与方法
我们通过系统检索和数据合并对多个基因表达综合数据库（GEO）数据集进行了重新分析。筛选出差异表达基因（DEG）。我们还进行了通路富集分析以解释数据。我们基于蛋白质-蛋白质相互作用网络、加权基因共表达网络分析和基因的癌/睾丸表达模式预测关键基因。我们还使用来自癌症基因组图谱（TCGA）项目的数据和基因本体注释对这些基因进行了进一步表征。
结果
细胞周期相关通路在ATC上调基因中显著富集。我们鉴定出 、 、 、 、 、 、 、 和 为具有癌/睾丸表达模式的细胞周期相关关键基因。我们进一步发现这些推定的关键基因中的大多数是染色体分离过程中的关键成分。
结论
我们预测了几个在ATC中具有潜在治疗价值的关键基因。细胞周期相关过程，尤其是染色体分离，可能是ATC肿瘤发生和治疗的关键。
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