1. SLC17A2 Expression Correlates with Prognosis and Immune Infiltrates in Hepatocellular Carcinoma
- Author
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Zhijian Wang, Xuenuo Chen, and Zheng Jiang
- Subjects
Carcinoma, Hepatocellular ,business.industry ,Fatty Acids ,Liver Neoplasms ,Organic Chemistry ,General Medicine ,medicine.disease ,Computer Science Applications ,Gene Expression Regulation, Neoplastic ,Text mining ,Immune system ,Expression (architecture) ,Hepatocellular carcinoma ,Drug Discovery ,Biomarkers, Tumor ,Cancer research ,medicine ,Humans ,Amino Acids ,business - Abstract
Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with a dismal prognosis according to updated statistics. At present, there are many deficiencies in targeted therapy for liver cancer. The solute carrier family 17 member 2 (SLC17A2) has not been studied in liver cancer, therefore, we evaluate the role of SLC17A2 in HCC by bioinformatics analysis.Methods: The expression level of SLC17A2 in HCC, the clinicopathological data were analyzed based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, the SLC17A2 protein expression was validated by immunohistochemical staining. Besides, the Kaplan–Meier plotter database and receiver operating characteristic (ROC) curve analysis were used to explore the prognostic significance. The biological analyses of SLC17A2 were performed using the gene set enrichment analysis (GSEA). Finally, Tumor Immune Estimation Resource (TIMER) and Gene Expression Profiling Interactive Analysis (GEPIA) databases were used to explore the relationship between immune cell infiltration, immune cell markers and SLC17A2 in HCC.Results: The multivariate Cox regression analysis showed that SLC17A2 expression was low in HCC (P < 0.05), and closely related to the clinical stage of HCC. Besides, SLC17A2 had certain prognostic and diagnostic value in HCC according to ROC curve analysis. Further biological analyses showed that SLC17A2 can regulate fatty acid metabolism, amino acid metabolism and cytochrome P450-related metabolism and is closely related to the peroxisome pathway. Notably, we found that SLC17A2 expression was positively correlated with the infiltration levels of CD4 + T cells, naive CD8+ T cells, naive B cells, negatively associated with the levels of regulatory T cells and closely correlated with most immune cell markers in HCC.Conclusion: SLC17A2 expression is low in HCC and correlates with immune infiltration; thus, it could serve as an independent prognostic factor for HCC.
- Published
- 2022