Abstract:
Hepatocellular Carcinoma (HCC) becomes the life threatening disease around
the world. There are many factors like inflammation and fibrogenic tissues in liver
that leads the patient towards advanced liver fibrosis and ultimately into HCC. Hep atitis B and C viruses are the major etiological agents responsible for HCC. There is a
need to explore the molecular nature of diseases at genomic level to find out potential
biomarkers and differentially expressed genes that will further provides a way to move
towards therapeutic targets of the diseases. MicroRNAs are small non-coding RNAs
that inhibit the expression of genes. There are thousands of miRNAs that has been
found in humans which are of approximately 22 nucleotides in length. Deregulation of
miRNAs causing different diseases but these miRNAs may appear as good biomark ers in early diagnosis of the disease. mRNA expression profiling helps to explore
the differentially expressed genes. The objective of this study is to find differentially
expressed genes and potential biomarkers by using Microarray and NGS technique.
We analyze different datasets of HBV and HCV induced HCC in order to find simi larities and differences between expression profiles.After identification of expression
level of mRNAs and miRNAs,targets of miRNAs are also predicted.Comparative
analysis of differentially expressed genes and predicted targets of miRNAs do not
show any similarity but a common gene (FCN3) has been identified after comparison
of mRNAs of microarray and RNA-sequencing. Comparative analysis of pathways
of all data sets gives us a common pathway i.e.pathways in cancer in which most
of the differentially expressed genes are enriched.A pathway is extracted on which
quantitative modeling approach has applied by calculating the values of entities that
are differentially expressed in our analysis.We analyze the high sensitivity level of
Survivin (BIRC5),mTOR and AkT and these genes are also up-regulated. So,they can
be used as important therapeutic targets of HCC.
