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. 2010 Jun 4;107(25):11405–11410. doi: 10.1073/pnas.0911186107

Fig. 5.

Fig. 5.

High PMCA2 expression predicts poor outcome in human breast cancer cases. (A–C) Using the Oncomine database and data mining tools (www.oncomine.org), we found associations between PMCA2 expression (ATP2B2 gene) and increasing breast tumor grade (A, P = 0.004, Pearson correlation), death within 5 y of breast cancer diagnosis (B, P = 0.043, t test) and resistance to docetaxel treatment (C, P = 0.018, t test). (D) Association between mortality and the upper and lower three quartiles of PMCA2 expression in a subgroup of women with breast cancer under age 50. Compared with the bottom three quartiles for PMCA2 AQUA scores, the top quartile for PMCA2 expression had significantly lower survival (Kaplan-Meier analysis, P = 0.0120; Cox continuous P = 0.0037; lower three quartiles, n = 106; top quartile, n = 35).