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Estrogen receptor (ER)-negative cancers have a poor prognosis, and few targeted therapies are available for their treatment. Our previous analyses have identified potential kinase targets critical for the growth of ER-negative, progesterone receptor (PR)-negative and HER2-negative, or "triple-negative" breast cancer (TNBC). Because phosphatases regulate the function of kinase signaling pathways, in this study, we investigated whether phosphatases are also differentially expressed in ER-negative compared to those in ER-positive breast cancers. We compared RNA expression in 98 human breast cancers (56 ER-positive and 42 ER-negative) to identify phosphatases differentially expressed in ER-negative compared to those in ER-positive breast cancers. We then examined the effects of one selected phosphatase, dual specificity phosphatase 4 (DUSP4), on proliferation, cell growth, migration and invasion, and on signaling pathways using protein microarray analyses of 172 proteins, including phosphoproteins. We identified 48 phosphatase genes are significantly differentially expressed in ER-negative compared to those in ER-positive breast tumors. We discovered that 31 phosphatases were more highly expressed, while 11 were underexpressed specifically in ER-negative breast cancers. The DUSP4 gene is underexpressed in ER-negative breast cancer and is deleted in approximately 50 % of breast cancers. Induced DUSP4 expression suppresses both in vitro and in vivo growths of breast cancer cells. Our studies show that induced DUSP4 expression blocks the cell cycle at the G1/S checkpoint; inhibits ERK1/2, p38, JNK1, RB, and NFkB p65 phosphorylation; and inhibits invasiveness of TNBC cells. These results suggest that that DUSP4 is a critical regulator of the growth and invasion of triple-negative breast cancer cells.

Natural killer (NK) cells are an attractive cell population for immunotherapy. Adoptive transfer of NK cells has been tested in multiple clinical trials including acute myeloid leukemia (AML) and ovarian cancer, although limitations do exist especially for treatment of solid tumors. In order to overcome these limitations, mouse xenograft models are needed for evaluation of various NK cell populations, as well as routes of NK cell administration. Here, we describe the methods used for the establishment of an intraperitoneal (ip) ovarian cancer mouse xenograft model with ip delivery of NK cells. This model has been successfully employed with multiple ovarian cell lines and could be applied to other tumor models where the tumor's primary location is in the peritoneal cavity. It is also compatible with multiple routes of NK cell administration. Bioluminescent imaging for monitoring tumor formation and response provides for easy visualization of NK cell tumor inhibition. This xenograft model is superior to other models because the tumor is implanted into the same physiological space where ovarian cancer is found, which allows for improved mimicking of actual disease.