Expression of integrin α V in gastric cancer and its predictive value for survival of gastric cancer patients
Objective To investigate the expression and biological functions of integrin α V(ITGAV)in gastric cancer(GC),and construct a nomogram prediction model for the prognosis of GC patients.Methods The clinical information of GC patients were acquired from The Cancer Genome Atlas database,the expression level of ITGAV in GC was obtained from GEPIA and Ualcan databases.Twenty GC patients who underwent gastrectomy in Ningbo Medical Center Lihuili Hospital from November 2022 to May 2023 were retrospectively selected.Immunohistochemistry(IHC)and qRT-PCR were applied to detect the expression level of ITGAV in GC.The relationship between the expression level of ITGAV and the prognosis of GC patients was explored form GEPIA,Ualcan and TIMER databases.A nomogram model was established to evaluate the predictive efficacy of ITGAV on the survival of GC patients.Consistency index and receiver operating characteristic(ROC)curve were used to assess the predictive performance of the model.Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis were performed to investigate the biological functions and signaling pathways of ITGAV.Results Bioinformatic data indicated that ITGAV was highly expressed in GC.IHC and qRT-PCR results of clinical samples validated the result.GEPIA,Ualcan and TIMER databases revealed that the high expression of ITGAV was closely related to the poor prognosis of GC patients(all P＜0.05).Univariate and multivariate Cox analysis revealed that high expression of ITGAV was a risk factor affecting the prognosis of GC patients(P＜0.05).The nomogram prediction model showed good prediction performance,and ROC curve analysis showed that the AUC values of 1-,3-and 5-year survival rates were 0.733,0.833 and 0.880,respectively.The consistency index was 0.732,which indicated high predictive value of the model.GO analysis showed that ITGAV was mainly concentrated in integrin-mediated cell adhesion,cell migration and cell adhesion.KEGG pathway analysis showed that ITGAV was mainly concentrated in extracellular matrix receptor interaction,focal adhesion and phosphatidylinositol-3-kinase/protein kinase B signaling pathway.Conclusion ITGAV can be used as an effective biomarker for evaluating the prognosis of GC patients,which will help clinicians make relevant decisions.
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