Solubility Measurements and Correlation of MBQ-167 in Neat and Binary Solvent Mixtures.

Abstract

MBQ-167 is a novel, small-molecule dual inhibitor of Rac and Cdc42, small GTPases that are involved in cytoskeletal organization, cell cycle progression, and cell migration. In an in vivo mouse model, MBQ-167 has been shown to significantly reduce mammary tumor growth and metastasis and is currently undergoing preclinical studies for the treatment of metastatic cancer. To date, no solubility data have been reported for this compound. For this reason, the present study aims to determine the solubility of this compound in eight neat solvents (acetonitrile, 1-butanol, 2-butanol, ethanol, ethyl acetate, methanol, 1-propanol, and 2-propanol) and two binary solvent mixtures [ethyl acetate (2) + heptane (3) and ethanol (2) + water (3)] between the temperatures of 278.15 and 333.15 K. The results obtained employing the polythermal method show that the solubility of MBQ-167 increases with an increase in temperature in all neat solvents used within this study. Moreover, in the two binary solvent mixtures, the solubility of this compound increases with increasing temperature and decreases with an increasing mass fraction of the antisolvent (heptane or water). The experimental solubility data were correlated using the modified Apelblat and λh model equations. The predicted solubility data acquired from the Apelblat and λh model equations correlate well with the experimental solubility data as indicated by the low ARD % (≤1.8304 and ≤6.5366, respectively). No solvent-mediated polymorphic phase transitions were observed while performing the solubility studies, and no other solid forms were detected after the recrystallization in the solvents and solvent mixtures. The solubility data determined here can offer pathways to develop pharmaceutical crystallization processes that can further the translation of MBQ-167 into a clinical setting.