Integrated analysis identifies a pathway-related competing endogenous RNA network in the progression of pancreatic cancer.

ABSTRACT:

Background

It is well acknowledged that cancer-related pathways play pivotal roles in the progression of pancreatic cancer (PC). Employing Integrated analysis, we aim to identify the pathway-related ceRNA network associated with PC progression.

Methods

We divided eight GEO datasets into three groups according to their platform, and combined TCGA and GTEx databases as a group. Additionally, we screened out the differentially expressed genes (DEGs) and performed functional enrichment analysis in each group, and recognized the top hub genes in the most enriched pathway. Furthermore, the upstream of miRNAs and lncRNAs were predicted and validated according to their expression and prognostic roles. Finally, the co-expression analysis was applied to identify a pathway-related ceRN

SUBMITTER: Zu F 

PROVIDER: S-EPMC7532576 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature