Gastric cancer has high mortality rates worldwide. Therefore, there is a need to identify prognostic biomarkers. This study evaluated the association between expression levels with clinicopathological features and prognosis in gastric cancer using data extracted from The Cancer Genome Atlas (TCGA) database and a series of algorithms. Survival analysis was performed using the Kaplan-Meier method. Univariate and multivariate Cox regression analyses were used to analyze the association between different clinical features and survival. Single-sample gene set enrichment analysis (GSEA) was used to examine the correlation between expression and immune infiltration. The results showed that the expression of in tumor samples was significantly lower than that in normal samples. High expression of was significantly associated with histological type, histologic grade, and worse overall survival, disease-specific survival, and progression-free survival. The univariate Cox analysis showed that the expression of was significantly correlated with T stage, N stage, M stage, and age. The multivariate analysis identified expression as an independent prognostic factor for gastric cancer. GSEA showed that might regulate the calcium signaling pathway, focus adhesion, olfactory conduction, the extracellular matrix glycoproteins, and response to the Leishmania parasitic infection. showed a significant moderate positive correlation with the infiltration of mast cells. In summary, a high expression of may contribute to poor survival in gastric cancer patients and could be used as a potential prognostic biomarker.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372394 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2023.e18291 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!