Abstract

Background Integrins are involved in the biological process of a variety of cancers, but their importance in the diagnosis and prognosis of gastric cancer (GC) is still unclear. Therefore, this study aimed at exploring the significance of ITG gene expression in GC to evaluate its diagnosis and prognosis. Methods GEPIA data were used to evaluate the mRNA expression of ITG genes in GC patients. The prognostic value of these genes was assessed by analyzing their mRNA expression using the Kaplan–Meier curve. The biological function of ITG genes was evaluated by GC tissue sequencing combined with GSEA bioinformatics. Based on the sequencing data, ITGA5 with the largest expression difference was selected for verification, and RT-PCR was used to verify its mRNA expression level in 40 pairs of GC and normal tissues. Results ITG (A2, A3, A4, A5, A6, A11, AE, AL, AM, AV, AX, B1, B2, B4, B5, B6, and B8) was highly expressed in GC tissues, while ITGA8 was low, compared with their expression in normal tissues. RNA-seq data shows that ITG (A2, A5, A11, AV, and B1) expression was associated with poor prognosis and overall survival. In addition, combined with the results of GC tissue mRNA sequencing, it was further found that the differentially expressed genes in the ITGs genes. ITGA5 was highly expressed in GC tissues compared with its expression in normal tissues, as evaluated by qRT–PCR (P < 0.001) and ROC (P < 0.001, AUC (95% CI) = 0.747 (0.641–0.851)), and confirmed that ITGA5 expression was a potential diagnostic marker for GC. Bioinformatics analysis revealed that the signaling pathway involved in ITGA5 was mainly enriched in focal adhesion, ECM-receptor interaction, and PI3K-AKT and was mainly involved in biological processes such as cell adhesion, extracellular matrix, and cell migration. Conclusion This study suggested that ITGs were associated with the diagnosis and prognosis of GC and discovered the prognostic value and biological role of ITGA5 in GC. Thus, ITGA5 might be used as a potential diagnostic marker for GC.

Highlights

  • Gastric cancer (GC) is one of the most common malignant tumors worldwide

  • The role of ITGs in gastric cancer (GC) is still unclear. erefore, this study aimed to explore the expression of ITG genes in GC and the biological processes and signaling pathways involved by bioinformatics and high-throughput sequencing, to clarify the potential value of ITG genes in the diagnosis and prognosis of GC

  • Gene Expression Profiling Interactive Analysis (GEPIA) database and Kaplan–Meier plotter were used to explore the expression of ITG genes and their significance in the prognosis of GC, and most of them were highly expressed in GC

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Summary

Introduction

Gastric cancer (GC) is one of the most common malignant tumors worldwide. the diagnosis of GC has made progress, most patients in China are in the middle and advanced stages at the time of diagnosis. e outcomes after surgery, radiotherapy, and chemotherapy are poor, and the five-year survival rate is less than 30% [1]. e current parameters to predict GC diagnosis and prognosis are not precise enough. erefore, there is an urgent need to find potential new biomarkers and prognostic indicators to create individualized treatment in clinical practice.Integrins (ITGs) regulate a variety of biological activities and human diseases, including tumor progression [2].ITGs are heterodimeric glycoproteins formed by two subunits, α and β consisting of 18 α subunits and 8 β subunits forming transmembrane surface receptors [3]. e ITG family proteins allow the attachment of the cells to the extracellular matrix, mediate the cell-to-cell adhesion, maintain the morphology of cells, and affect several processes including movement and phagocytosis [4]. E ITG family proteins allow the attachment of the cells to the extracellular matrix, mediate the cell-to-cell adhesion, maintain the morphology of cells, and affect several processes including movement and phagocytosis [4] Another function is to activate a bidirectional signal mediated by the release of stimulating factors from the cell. Bioinformatics analysis revealed that the signaling pathway involved in ITGA5 was mainly enriched in focal adhesion, ECM-receptor interaction, and PI3K-AKT and was mainly involved in biological processes such as cell adhesion, extracellular matrix, and cell migration. Is study suggested that ITGs were associated with the diagnosis and prognosis of GC and discovered the prognostic value and biological role of ITGA5 in GC. Conclusion. is study suggested that ITGs were associated with the diagnosis and prognosis of GC and discovered the prognostic value and biological role of ITGA5 in GC. us, ITGA5 might be used as a potential diagnostic marker for GC

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