Roland Arnould

Labelled polycyanoacrylate nanoparticles for human In Vivo use

Isobutyl and isohexyl cyanoacrylate nanoparticles are used as drug carriers, particularly for some anti-cancer drugs. Body distribution as well as pharmacokinetics have been well studied in animal and partially in man. Labelling of the monomer itself or of the carried drug with beta-emitters allowed such studies. In man, however, organ distribution and uptake could easily be done and followed by means of scintigraphy (imaging) techniques if one could achieve nanoparticle labelling with gamma-emitting isotopes. We have developed labelling methods able to supply such carriers using gamma-emitters like radioactive iodine (125I or 131I), indium or technetium. We used DTPA as a spacer in order to fix the last two isotopes. This would mean that any other gamma-emitting cation can theoretically be tried pending on its ability to be chelated by DTPA. The preparations were obtained with high labelling yields, usually > 80% and were relatively stable in human plasma over the whole period of investigation. 111In and 99mTc labelled forms have been administered to rabbit and then to man with 60-75% accumulation in the reticulo-endothelial system.

Human melanoma targeting with alpha-MSH-melphalan conjugate.

A conjugate made of alpha-MSH as a drug carrier and melphalan has been designed in order to target human melanoma cells. Iodination of the alpha-MSH moiety led to a relatively stable tracer which could be easily separated and analysed by reverse phase high pressure liquid chromatography. The conjugate was found to be unstable at neutral pH and a serious denaturation can take place at concentrations exceeding 100 micrograms/ml, especially in plasma. Receptor-mediated cytotoxicity has been shown by the use of cultured alpha-MSH receptor positive/negative cells as well as in vivo B16 murine melanoma model. Body distribution and uptake of the labelled compound were unaltered as compared to those of labelled free hormone. alpha-MSH receptor recognition properties also remained unchanged with a better apparent affinity of the conjugate probably due to the alkylating activity of melphalan itself. Using human melanoma dendritic cells expressing more than 10,000 alpha-MSH binding sites per cell as an in vitro model, we were able to demonstrate higher cytotoxicities as compared to melphalan-treated cells. In contrast, melanoma cells with low receptivity did not show higher cytotoxicity. P388D1 mouse plasmocytoma cells lacking receptors were much more sensitive to melphalan than the conjugate. This phenomenon appeared to be related with the number of binding sites expressed at the time of the experiment as well as cell differentiation and the doubling time. Our findings strongly support the concept of a receptor-mediated cytotoxicity and may enable the in vivo melphalan delivery to target tissues to be increased, achieving an improvement of drug penetration inside melanoma cells.

Pharmacokinetics of daunorubicin and daunorubicinol in plasma, P388 and B16 tumours. Comparison with in vitro cytotoxicity data

SummaryThe comparison of pharmacokinetics of DNR in mouse plasma, in theDNR naturally resistant B16 melanoma and in theDNR naturally sensitive P388 leukemia showed that there is no direct correlation between total concentrations of this drug in tumours and the sensitivity resistance of these tissues.A finding which demonstrates the inadequacy of distribution models to select new potential anticancer drugs. Cytotoxicity of DNR and its metabolites to B16 melanoma and P388 leukemia cell lines were determined in vitro. Calculated inhibitory concentrations SO (IC50) were compared to maximal concentrations determined by pharmacokinetic studies.In all cases in vitro IC50 were lower than Cmax values. Moreover, resistant cells in vivo were found to be sensitive to DNR and metabolites when they are propagated in vitro.Tissue concentrations, as well as in vitro data, were fitted to appropriate models by an original program (FADHA) which uses the simplex method to minimize a non-linear cost function. Best fit models were chosen by statistical criteria.