Title:Discovery of Biomarkers in Hepatocellular Carcinoma Metastasis Using Bioinformatic Analysis
Volume: 16
Issue: 7
Author(s): Jinrui Wei, Haroon Ur Rashid and Lichuan Wu*
Affiliation:
- Medical College of Guangxi University, Nanning, 530004,China
Keywords:
Bioinformatic analysis, biomarkers, hepatocellular carcinoma, metastasis, liver cancer, key genes.
Abstract:
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 is far away from fully elucidated. In this study, we aimed 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 the same expression pattern in GSE6222 and GSE6764 were identified. One
hundred and thirty-one differently expressed miRNAs (DEMs) were identified in GSE 67138.
Furthermore, a total of 26 pairs of miRNA-target, including 18 DEMs and 13 DEGs were identified
as critical miRNA-target axis via miRNA-target gene interaction analysis.
Results 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.
