Diagnosis and Prognostic Value of SPARC in Gastric Carcinoma: Database Mining for GCTA

Abstract

<jats:title>Abstract</jats:title> <jats:p>Gastric carcinoma (GC) remains high incidence and mortality both in developed and developing countries. SPARC is extracellular non-structural matrix glycoprotein. Previous studies were closely associated with bone disease. However, the role of SPARC in GC remains largely unclear. In our study, we explored the diagnosis, prognosis and pathway enrichments value of SPARC in GC. Here, with the data from The Cancer Genome Atlas (TCGA), we used receiver operating characteristic (ROC) curve analysis to estimate the diagnosis value of the SPARC expression, Univariate and multivariate analysis to the prognosis, Gene set enrichment analysis (GSEA) to the signal pathway enrichments. As a result, SPARC expression was significantly higher in the GC tissue samples. Those with high SPARC expression of GC patients were worse prognosis. GSEA shows the gene sets related signal pathways including transforming growth factor (TGF) beta signaling pathway, pathways in cancer, Wnt signaling pathway, Mitogen-activated protein kinase (MAPK) signaling pathway etc. In brief, those results suggest that SPARC can serve as a potential biomarker for GC in diagnosis and prognosis.</jats:p>