肝细胞癌
小RNA
转移
微阵列
肝癌
微阵列分析技术
癌症
基因
癌症转移
生物信息学
生物
机制(生物学)
计算生物学
癌症研究
肿瘤科
作者
Wei Jinrui,Ur Rashid Haroon,Wu Lichuan
出处
期刊:Current Bioinformatics
[Bentham Science]
日期:2021-07-31
被引量:1
标识
DOI:10.2174/1574893615999200713163643
摘要
Background: Liver cancer is one of the most deadly malignancies worldwide. Tumor metastasis is the main cause of liver cancer related death. So far the mechanism of liver cancer metastasis are far away from fully elucidated. In this study, we aim to discover key regulators involved in liver cancer metastasis by data mining. Methods: Two different types of data including mRNA microarray (GSE6222 and GSE6764) and miRNA microarray (GSE67138) were analyzed. A total of 83 intersectant differently expressed genes (DEGs) with same expression pattern in GSE6222 and GSE6764 were identified. One hundred and thirty one differently expressed miRNAs (DEMs) were identified in GSE 67138. Further, a total of 26 pairs of miRNAtarget including 18 DEMs and 13 DEGs were identified as critical miRNA-target axis via miRNA-target gene interaction analysis. Result and Conclusion: Among the 18 DEMs and 13 DEGs, 10 miRNAs and 10 target genes are significantly correlated with patients’ survival (p < 0.05). Our results and methods might be interesting for data mining and helpful for further experimental functional validation.
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