Identification of candidate diagnostic and prognostic biomarkers for pancreatic carcinoma.

ABSTRACT:

Background

Pancreatic carcinoma (PC) is one of the most aggressive cancers affecting human health. It is essential to identify candidate biomarkers for the diagnosis and prognosis of PC. The present study aimed to investigate the diagnosis and prognosis biomarkers of PC.

Methods

Differentially expressed genes (DEGs) were identified from the mRNA expression profiles of GSE62452, GSE28735 and GSE16515. Functional analysis and the protein-protein interaction network analysis was performed to explore the biological function of the identified DEGs. Diagnosis markers for PC were identified using ROC curve analysis. Prognosis markers were identified via survival analysis of TCGA data. The protein expression pattern of the identified genes was verified in clinical tissue samples. A

SUBMITTER: Cheng Y 

PROVIDER: S-EPMC6412825 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature