Identification of hub genes correlated with the pathogenesis and prognosis in Pancreatic adenocarcinoma on bioinformatics methods.

ABSTRACT:

Background

Pancreatic adenocarcinoma (PC), is a type of digestive tract cancer with the highest mortality all over the word, and its exact pathogenesis is not clear. Therefore, it is of great significance to search for genes related to PC and elucidate its molecular mechanism.

Methods

We integrated and analyzed 8 microarray datasets from the Gene Expression Comprehensive Database (GEO) and PC patient information from the Cancer Genome Atlas (TCGA) database to identified differentially expressed genes (DEGs) based on standardized annotation information. The overlapped DEGs both in the GEO and TCGA datasets were identified as key genes. Kaplan-Meier comprehensive expression scoring method was conducted to determine whether the key genes are related to the survival rate of PC.

SUBMITTER: Shi LE 

PROVIDER: S-EPMC8799009 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature