Antiprogestin treatment dramatically inhibits BT 474 tumor growth

Antiprogestin treatment dramatically inhibits BT 474 tumor growth in xenograft models and significantly blocks BT 474 cell prolif eration selleckbio in MTT assays conducted over six days in vitro, similar results were observed with the MEK inhibitor, U0126. We first measured the expres sion of PR target genes primarily regulated by KR but not WT PR, relative to a control gene not sensitive to PR SUMOylation. Remarkably, progestin treatment induced elevated PR B Ser294 phosphorylation and robust upregula tion of both CHN2 and RGS2 in Inhibitors,Modulators,Libraries BT 474 cells, 17 fold and 26 fold, respectively. Recall that RGS2 expression is weakly sensitive to progestin treatment in T47D cells expressing WT PR compared to KR PR. ACOT6 expression was also induced by R5020, expres sion of all three genes was entirely blocked by antipro gestin RU486.

Note that when CHN2 and RGS2 mRNA expression is highest, although phospho Ser294 PR is readily detected, total PR levels are greatly diminished and appear undetectable, presumably due to LD downregulation of activated PR species. Pre treatment of these cells with the MEK Inhibitors,Modulators,Libraries kinase inhibitor, U0126, blocked R5020 induced PR Ser294 phosphorylation and partially, but signifi cantly, diminished both CHN2 and RGS2 expression. In contrast, the expression of ACOT6, a control gene unaffected by PR SUMO status, was completely insensitive to MEK kinase inhibition. These data support our hypothesis and demonstrate that phosphorylation events contribute to both expres sion of the SUMO deficient PR gene signature and PR Inhibitors,Modulators,Libraries induced proliferation in otherwise unmodified SR positive breast cancer cells.

Similar to CHN2 and RGS2, we predict that a significant number of genes upregulated Inhibitors,Modulators,Libraries in ERBB2 overexpressing Inhibitors,Modulators,Libraries luminal breast cancers are indeed PR driven. The above findings prompted us to test whether PR gene signatures derived from our cell line models were predictive of tumor behavior and patient survival in published human breast tumor cohorts. For example, the Loi et al. dataset represents one of the largest collections of survival data from patients whose breast tumors were initially ER PR. Metagenes were isolated from our T47D microarray dataset representing each sample. Using Kaplan Meier survival analysis, we first compared patient tumors that express PR related metagenes to all other patient tumors.

This analysis revealed that patients in this tumor cohort whose tumors expressed any PR gene signature experienced significantly reduced distant metastasis free survival. Notably, patient tumors that did not express a PR related metagene were associated with approximately 80% long term survival. Presumably, tumors in this http://www.selleckchem.com/products/Bosutinib.html group expressed abundant PR, but these receptors remained relatively inactive. Consistent with this notion, high PR mRNA levels were associated with good out come.

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