AUTHOR=Zhou Weiyu , Wang Yujing , Gao Hongmei , Jia Ying , Xu Yuanxin , Wan Xiaojing , Zhang Zhiying , Yu Haiqiao , Yan Shuang 

TITLE=Identification of Key Genes Involved in Pancreatic Ductal Adenocarcinoma with Diabetes Mellitus Based on Gene Expression Profiling Analysis

JOURNAL=Pathology and Oncology Research

VOLUME=Volume 27 - 2021

YEAR=2021

URL=https://www.por-journal.com/journals/pathology-and-oncology-research/articles/10.3389/pore.2021.604730

DOI=10.3389/pore.2021.604730

ISSN=1532-2807

ABSTRACT=This study aimed to identify key gene markers involved in the progression of diabetic pancreatic ductal adenocarcinoma (PDAC). Two gene expression datasets (GSE74629 and GSE15932) were firstly obtained from Gene Expression Omnibus database. Then, the differentially expressed genes (DEGs) between diabetic PDAC and non-diabetic PDAC were identified followed by the functional analysis. Subsequently, the gene modules related to DM were extracted by a weighed gene co-expression network analysis. The protein-protein interaction (PPI) and functional analyses of genes in significant modules were also performed. After that, the optimal gene set was screened by support vector machine (SVM) recursive feature elimination and SVM classification model was built. Finally, a survival analysis was conducted to identify several prognosis-related genes in non-diabetic PDAC patients. The correlations between prognostic genes and other clinical factors were also analyzed. Totally, 1546 consistently DEGs were identified and functional analyses showed they were strongly correlated with metabolic pathway. Furthermore, there were two significant gene modules and RPS27A and UBA52 were key genes in PPI network. Functional analysis of genes in two gene modules revealed that these genes primarily participated in oxidative phosphorylation pathway. Additionally, 21 feature genes were closely related with diabetic PDAC and the corresponding SVM classifier markedly distinguished diabetic PDAC and non-diabetic PDAC patients. Finally, decreased KIF22 and PYGL levels had good survival outcomes for PDAC. Four genes (RPS27A, UBA52, KIF22 and PYGL) might be involved in the pathogenesis of diabetic PDAC. Furthermore, KIF22 and PYGL acted as prognostic biomarkers for diabetic PDAC.