Integrated bioinformatics analysis shows integrin alpha 3 is a prognostic biomarker for pancreatic cancer

Author:

Hu Fangfang1,Zhao Liangtao1,Wang Yang1,Ye Hao2,Tang Haodong2,Zhou Jiahua3ORCID

Affiliation:

1. Department of Hepatobiliary and Pancreatic Surgery, Zhongda Hospital Affiliated to Southeast University , Nanjing , 210009 , China

2. School of Medicine, Southeast University , Nanjing , 210009 , China

3. Department of Hepatobiliary and Pancreatic Surgery, Zhongda Hospital Affiliated to Southeast University , No. 87 Dingjiaqiao, Gulou District , Nanjing , 210009 , China

Abstract

Abstract Integrin subunit alpha 3 (ITGA3) expression correlates with the development and prognosis of human cancers. This study aimed to investigate the association of ITGA3 expression with pancreatic cancer (PCa) prognosis. The ITGA3 gene expression data were extracted from The Cancer Genome Atlas (TCGA) pancreatic adenocarcinoma (PAAD) cohort and 14 Gene Expression Omnibus microarray datasets. The differences in ITGA3 expression levels between tumor and non-tumor tissues were compared using the Mann–Whitney U test. Cox regression analysis and meta-analysis were performed to detect the association of ITGA3 expression with PCa prognosis. ITGA3 expression was higher in tumors than in controls. Tumors with advanced grades (3/4) had higher ITGA3 levels compared with early-grade tumors (1/2). The meta-analysis of the TCGA PAAD cohort and seven microarray datasets (GSE28735, GSE62452, GSE79668, GSE71729, GSE57495, GSE78229, and GSE21501) showed that ITGA3 was a prognostic biomarker in PCa (hazard ratio (HR) = 1.38, 95% confidence interval (CI) 1.26–1.51, p < 0.00001). Five ITGA3-related genes, including ITGB1 (HR = 1.6), ITGB5 (HR = 1.6), ITGB6 (HR = 1.6), LAMA3 (HR = 2.1), and CD9 (HR = 2.3), correlated with PCa prognosis significantly (p < 0.05). Functional enrichment analysis showed that ITGA3 was related to “hsa04151: PI3K-Akt signaling pathway” and “hsa04510: Focal adhesion.” We concluded that high ITGA3 expression was a potential prognostic biomarker in PCa.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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