Transcriptomic analysis of gene expression profiles of stomach carcinoma reveal abnormal expression of mitotic components

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• 作者：Hongfei Tong ; Jisheng Wang ; Hui Chen ; Zhaohong Wang ; Henwei Fan ; Zhonglin Ni ; ^{chinanister@tom.com}
• 关键词：Gastric cancer ; Mitosis ; Transcriptomic analysis ; Gene interaction network ; Co-expression network
• 刊名：Life Sciences
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：170
• 期：Complete
• 页码：41-49
• 全文大小：1860 K
• 卷排序：170

文摘

In order to explore the etiology of gastric cancer on global gene expression level, we developed advanced bioinformatic analysis to investigate the variations of global gene expression and the interactions among them.Main methodsWe downloaded the dataset GSE63288 from Gene Expression Omnibus (GEO) database which included 22 human gastric cancer and 22 healthy control samples. We identified the differential expression genes, and explored the Gene ontology (GO) and pathways of the differentially expressed genes. Furthermore, integrative interaction network and co-expression network were employed to identify the key genes which may contribute to gastric cancer progression.Key findingsThe results indicated that 5 kinases including BUB1, TTK protein kinase, Citron Rho-interacting kinase (CIT), ZAK and NEK2 were upregulated in gastric cancer. Interestingly, BUB1, TTK, CIT and NEK2 have shown high expression similarities and bound with each other, and participated in multiple phases of mitosis. Moreover, a subnet of co-expression genes e.g. KIF14, PRC1, CENPF and CENPI was also involved in mitosis which was functionally coupled with the kinases above. By validation assays, the results indicated that CIT, PRC1, TTK and KIF14 were significantly upregulated in gastric cancer.SignificanceThese evidences have suggested that aberrant expression of these genes may drive gastric cancer including progression, invasion and metastasis. Although the causal relationships between gastric cancer and the genes are still lacking, it was reasonable to take them as biomarkers for diagnosis of gastric cancer.