Identification of key miRNAs in the progression of hepatocellular carcinoma using an integrated bioinformatics approach.

ABSTRACT:

Backgroud

It has been shown that aberrant expression of microRNAs (miRNAs) and transcriptional factors (TFs) is tightly associated with the development of HCC. Therefore, in order to further understand the pathogenesis of HCC, it is necessary to systematically study the relationship between the expression of miRNAs, TF and genes. In this study, we aim to identify the potential transcriptomic markers of HCC through analyzing common microarray datasets, and further establish the differential co-expression network of miRNAs-TF-mRNA to screen for key miRNAs as candidate diagnostic markers for HCC.

Method

We first downloaded the mRNA and miRNA expression profiles of liver cancer from the GEO database. After pretreatment, we used a linear model to screen for differentially express

SUBMITTER: Zheng Q 

PROVIDER: S-EPMC7210814 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature