Oncotarget

Research Papers:

Integrated expression profiles analysis reveals novel predictive biomarker in pancreatic ductal adenocarcinoma

Hongzhe Li _, Xinjing Wang, Yuan Fang, Zhen Huo, Xiongxiong Lu, Xi Zhan, Xiaxin Deng, Chenghong Peng and Baiyong Shen

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Oncotarget. 2017; 8:52571-52583. https://doi.org/10.18632/oncotarget.16732

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Abstract

Hongzhe Li1,2,3,*, Xinjing Wang1,2,3,*, Yuan Fang1,2,3, Zhen Huo1,2, Xiongxiong Lu1,3, Xi Zhan1,3, Xiaxin Deng1,3, Chenghong Peng1,3 and Baiyong Shen1,2,3

1Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China

2Research Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China

3Pancreatic Disease Centre, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China

*These authors have contributed equally to this work

Correspondence to:

Baiyong Shen, email: shenby@shsmu.edu.cn

Keywords: pancreatic ductal adenocarcinoma, microarray databases, prognosis, cell-matrix adhesion, biomarker

Received: November 14, 2016    Accepted: January 24, 2017    Published: March 31, 2017

ABSTRACT

Pancreatic ductal adenocarcinoma (PDAC) is the most lethal human malignant tumor, with a dismal 5-year survival rate of less than 5%. The lack of specific symptoms at early tumor stages and the paucity of biomarkers contribute to the poor diagnosis of pancreatic ductal adenocarcinoma. To improve prognosis, a screening biomarker for early diagnosis of pancreatic cancer is in urgent need. We searched the databases of expression profiling by array on GEO, aiming at comparing gene expression profile of matched pairs of pancreatic tumor and adjacent non-tumor tissues, and we screen out 4 suitable series of gene expression microarray data (“GSE15471”, “GSE18670”, “GSE28735” and “GSE58561”). After carefully analyzing, 13 DEGs (MYOF, SLC6A6, S100P, HK2, IFI44L, OSBPL3, IGF2BP3, PDK4, IL1R2, ERO1A, EGLN3, PLAC8 and ACSL5) are significantly differentially expressed in four microarray databases in common. After analyzing mRNA expression data and clinical follow-up survey provided in the TCGA database and clinicopathological data of 137 pancreatic ductal adenocarcinoma patients, we carefully demonstrated that three of these differentially expressed genes (ERO1A, OSBPL3 and IFI44L) are correlated with poor prognosis of pancreatic ductal adenocarcinoma patients. In addition, we revealed that cell–matrix adhesion and extracellular matrix were top significantly regulated pathways in pancreatic ductal adenocarcinoma and depicted two protein-protein interactions networks of extracellular matrix related Genes which are dysregulated according to 4 gene expression microarray data mentioned above (“GSE15471”, “GSE18670”, “GSE28735” and “GSE58561”), hoping to shed light on the etiology of PDAC and mechanisms of drug resistance in PDAC in this study.


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