In silico evaluation of the gene expression profile of syndecan-4 in different breast tumor subtypes

ABSTRACT

Introduction: Breast cancer is one of the main causes of death in women. Luminal tumors A and B show good response with hormonal treatments, tumors that overexpress HER-2 can be treated with monoclonal antibodies, whereas triple negative tumors have few treatments available because they present low or absent expression of hormone receptors and HER-2, in addition, they present worse tumor progression. Syndecans are heparan sulfate proteoglycans that have the function of interacting with growth factors, cytokines, and extracellular matrix, thus modulating important processes in tumor progression. Objective: Analyze the expression of syndecan-4 in different subtypes of breast tumors. Methods: Bioinformatics is a useful tool for the study of new biomarkers. In the present study, the TCGA database (514 patients) and Metabric (1,898 patients) were analyzed using the cBioportal software. Gene expression data were analyzed by RNA-Seq and Microarray from biopsies of breast tumors. Results: An alteration in syndecan-4 gene expression was observed among the different subtypes of breast tumors. Patients with a triple-negative tumor had decreased expression for syndecan-4 in both databases. Conclusion: Syndecan-4 is a potential biomarker for breast tumor prognosis since decreased expression of syndecan-4 is related to triple-negative breast cancer.