ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer
Received 15 January 2019
Accepted for publication 22 March 2019
Published 27 May 2019 Volume 2019:12 Pages 4141—4152
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Jyoti Bajaj
Peer reviewer comments 2
Editor who approved publication: Professor Jianmin Xu
Yan Jiao,1 Yanqing Li,2 Songyang Liu,1 Qingmin Chen,1 Yahui Liu1
1Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, Jilin, 130021, People’s Republic of China; 2Department of Pathophysiology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin 130021, People’s Republic of China
Background and objective: ITGA3 is a cell surface adhesion protein that interacts with extracellular matrix proteins which function in cancer metastasis. We examined the relationship of pancreatic ITGA3 expression with the clinical and pathological characteristics of patients with pancreatic cancer.
Methods: Data mining was used to analyze pancreatic cancer data from The Cancer Genome Atlas database. A Chi squared test was used to evaluate correlations of ITGA3 expression with clinical and pathological parameters. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of ITGA3 expression. Survival analysis and Cox regression analysis were used to examine the prognostic value of ITGA3 expression. Gene Set Enrichment Analysis (GSEA) was used to identify signaling pathways related to ITGA3 expression.
Results: Pancreatic expression of ITGA3 was greater in patients with pancreatic cancer than those without cancer, and was also associated with histological type, histological grade, stage, T classification, vital status, and relapse. ROC analysis indicated that ITGA3 had significant diagnostic value, in that high expression correlated with poor overall survival and relapse-free survival, especially in patients with early-stage cancer. Cox analysis indicated that high ITGA3 expression was an independent prognostic factor for pancreatic cancer. GSEA analysis identified 9 signaling pathways that were enriched in the presence of high ITGA3 expression.
Conclusion: Expression of ITGA3 can be used as a diagnostic and prognostic biomarker in pancreatic cancer.
Keywords: pancreatic cancer, diagnosis, prognosis, ITGA3, TCGA
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