Introduction: Primary liver cancer is a life-threatening illness and one of the fastest growing cancer types. Most primary liver cancer is cancer in your liver and cancer in bile ducts in your liver. Both cancer types have common causes, risk factors, symptoms and treatments. Healthcare providers focus on identifying who might be at increased risk so they can catch and treat primary liver cancer as early as possible. Research has been moving from being strictly conducted in a real-life lab environment to a ‘virtual lab’ environment where data management and analysis are done. . This investigation aimed to find a novel differentially expressed gene in the LIHC patients compared to control samples.
Methods: Expression analysis of GSE174570 achieved from GEO2R online software and validation of expression analyses performed by GEPIA2 database. ENCORI and GEPIA2 performed survival, expression, and correlation analyses. The desired gene to miRWALK to find the target miRNA. Target miRNA was searched in lncBase, and appropriate lncRNAs were found.
At last, Cytoscape software was used to show the interaction between the components of the CeRNA network.
Results: Through analysis of the GEO dataset, a gene named KPNA2 was found to be considerably upregulated (|logFC| = 1.012, adj. P. Value <0.0001) in LIHC samples.
GeneCards Summary for KPNA2 Gene is KPNA2 (Karyopherin Subunit Alpha 2) is a Protein Coding gene and is a specific biomarker for the diagnosis of liver cancer. The connection with this gene includes RNA binding and statistical methods.
Among the pathways associated with the KPNNA2 gene are Calmodulin induced events and Homology Directed Repair. Gene Ontology (GO) annotations related to this gene include RNA binding and histone deacetylase binding. An important paralog of this gene is KPNA2. In the survival analysis, the increase in gene expression is directly related to the death rate. By analyzing possible protein interation,P52292 was selected, and By analyzing possible miRNA-mRNA interactions, hsa-miR-3619-5p was selected.
Conclusion: This miRNA was then searched in LncBase and XIST, the strongest interaction.