Background
Breast cancer (BC) is one of the most common malignancies in women all over the world. For patients with human epidermal growth factor receptor 2 positive (Her2+) BC, although the widespread use of anti-Her2 therapy has make for survival increased, improved survival has led to an increased demand for better management and diminish toxic side effects of anticancer treatments. This study aimed to identify the potential biomarkers associated Her2 + BC in order to improve the overall management of BC treatment.
Results
Our research downloaded GSE54140 gene expression datasets from the Gene Expression Omnibus data sets, and used weighted gene co-expression network analysis (WGCNA) to developed a scale-free gene co-expression network to explore the associations between gene sets and clinical features. A total of 60 modules were analyzed, and found that the skyblue3 module was significantly related to Her2 + BC. The function of 93 genes in the skyblue3 module was annotated by DAVID bioinformatics tool, and it was demonstrated that the function of the module was mainly related to nuclear-transcribed mRNA catabolic process, cytosol, and oxidoreductase activity. Based on the WGCNA and Cytoscape software analysis, 9 hub genes (PGAP3, PPP1R1B, PNMT, ERBB2, CISD3, CRKRS, TCAP, STARD3, and NEUROD2) were identified. The Human Protein Atlas database detected that the protein level of PGAP3, PPP1R1B, PNMT, ERBB2, CISD3, CRKRS, TCAP, and STARD3 in tumor tissues were different from normal tissues. And survival analysis shows that PGAP3, PNMT, ERBB2, TCAP, and STARD3 were negatively associated with the overall survival (P < 0.05).
Conclusions
In total, 9 candidate biomarkers were identified by comprehensive analysis, among which, the co-expansion of PGAP3, CRKRS, STARD3 and NEUROD2 related to ERBB2 may be associated with the occurrence of Her2 + BC. In addition, PPP1R1B, CRKRS and TCAP are related to drug resistance and adverse reactions in the treatment of Her2 + BC.