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Coexpression of PBX1 and EMP2 as Prognostic Biomarkers in Estrogen Receptor-Negative Breast Cancer via Data Mining

Previous studies revealed that PBX1 ranked the third in the differentially expressed genes about development and progression of breast cancer (BC). Nevertheless, the role of PBX1 contributing to progression of BC has been unevaluated. Here, on the basis of ONCOMINE and GOBO databases, we compared BC samples with normal controls about the expression of PBX1 in various types of cancers, as well as their related expression levels in cancer cell lines by Cancer Cell Line Encyclopedia (CCLE) analysis. It was also found that, when compared with normal controls, PBX1 was markedly higher expressed not only in BC samples but also in BC cell lines, and coexpressed with EMP2 by ONCOMINE and CCLE coexpression analysis, which was also expressed higher in BC samples and BC cell lines similarly. According to Kaplan-Meier plotter, we further explored the prognostic functions of PBX1 and EMP2 in different molecular subtypes of BC, respectively. We demonstrated that overexpression of PBX1 mRNA was correlated with worse survival in luminal B subtype BC, whereas increased EMP2 expression was associated with shorter relapse-free survival in estrogen receptor (ER)-negative patients. Combining with previous studies, we could make a conclusion that coexpression of PBX1 and EMP2 predicts poor prognosis in ER-negative BC, which could be effective biomarkers for BC.