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Two small-molecule-drug conjugates (SMDCs, 6 and 7) featuring lysosomally cleavable linkers (namely the Val-Ala and Phe-Lys peptide sequences) were synthesized by conjugation of the αvβ3-integrin ligand cyclo[DKP-RGD]-CH2NH2 ( 2) to the anticancer drug paclitaxel (PTX). A third cyclo[DKP-RGD]-PTX conjugate with a nonpeptide 'uncleavable' linker ( 8) was also synthesized to be tested as a negative control. These three SMDCs were able to inhibit biotinylated vitronectin binding to the purified αVβ3-integrin receptor at nanomolar concentrations and showed good stability at pH 7.4 and pH 5.5. Cleavage of the two peptide linkers was observed in the presence of lysosomal enzymes, whereas conjugate 8, which possesses a nonpeptide 'uncleavable' linker, remained intact under these conditions. The antiproliferative activities of the conjugates were evaluated against two isogenic cell lines expressing the integrin receptor at different levels: the acute lymphoblastic leukemia cell line CCRF-CEM (αVβ3−) and its subclone CCRF-CEM αVβ3 (αVβ3+). Fairly effective integrin targeting was displayed by the cyclo[DKP-RGD]-Val-Ala-PTX conjugate ( 6), which was found to differentially inhibit proliferation in antigen-positive CCRF-CEM αVβ3 versus antigen-negative isogenic CCRF-CEM cells. The total lack of activity displayed by the 'uncleavable' cyclo[DKP-RGD]-PTX conjugate ( 8) clearly demonstrates the importance of the peptide linker for achieving the selective release of the cytotoxic payload. [ABSTRACT FROM AUTHOR]

Abstract: A novel series of 3-amino-1H-thieno[3,2-c]pyrazole derivatives demonstrating high potency in inhibiting Aurora kinases was developed. Here we describe the synthesis and a preliminary structure–activity relationship, which led to the discovery of a representative compound (38), which showed low nanomolar inhibitory activity in the anti-proliferation assay and was able to block the cell cycle in HCT-116 cell line. This compound demonstrated favorable pharmacokinetic properties and good efficacy in the HL-60 xenograft tumor model. [ABSTRACT FROM AUTHOR]

Purpose. The effect of an anticancer treatment on tumor cell proliferation in vitro can be described as a three-dimensional surface where the inhibitory effect is related to drug concentration and treatment time. The analysis of this kind of response surface could provide critical information: for example, it could indicate whether a prolonged exposure to a low concentration of an anticancer agent will produce a different effect from exposure to higher concentrations for a shorter period of time. The parametric approach available in the literature was not flexible enough to accommodate the behavior of the response surface in some of the data sets collected as part of our research programs. Therefore, a new, general, nonparametric approach was developed. Methods. The response surface of the inhibition of cell-based tumor growth was described using a radial basis function neural network (RBF-NN). The RBF-NN was trained using regularization theory, which provided the initialization of a constrained quadratic optimization algorithm that imposes monotonicity of the surface with respect to both concentration and exposure time. Results. In the two analyzed cases (doxorubicin and flavopiridol), the proposed method was accurate and reliable in describing the inhibition surface of tumor cell growth as a function of drug concentration and exposure time. Residuals were small and unbiased. The new method improved on the parametric approach when the relative importance of drug concentration and exposure time in determining the overall effect was not constant across the experimental data. Conclusions. The proposed RBF-NN can be reliably applied for the analysis in cell-based tumor growth inhibition studies. This approach can be used for optimizing the administration regimens to be adopted in vivo. The use of this methodology can be easily extended to any cell-based experiment, in which the outcome can be seen as a function of two experimental variables. [ABSTRACT FROM AUTHOR]