A preclinical assay for chemosensitivity in multiple myeloma
Menée sur 3 lignées cellulaires de myélome multiple et 7 populations cellulaires dérivées de patients atteints d'un myélome multiple, cette étude évalue les performances d'une plateforme à base de technologies microfluidiques pour prédire le risque d'une résistance au bortézomib ou au melphalan
Accurate preclinical predictions of the clinical efficacy of experimental cancer drugs are highly desired but often haphazard. Such predictions might be improved by incorporating elements of the tumor microenvironment in preclinical models by providing a more physiological setting. In generating improved xenograft models, it is generally accepted that the use of primary tumors from patients are preferable to clonal tumor cell lines. Here we describe an interdisciplinary platform to study drug response in multiple myeloma (MM), an incurable cancer of the bone marrow. This platform uses microfluidic technology to minimize the number of cells per experiment, while incorporating 3D extracellular matrix and mesenchymal cells derived from the tumor microenvironment. We used sequential imaging and a novel digital imaging analysis algorithm to quantify changes in cell viability. Computational models were used convert experimental data into dose-exposure-response "surfaces" which offered predictive utility. Using this platform, we predicted chemosensitivity to bortezomib and melphalan, two clinical MM treatments, in 3 MM cell lines and 7 patient-derived primary MM cell populations. We also demonstrated how this system could be used to investigate environment-mediated drug resistance and drug combinations that target it. This interdisciplinary preclinical assay is capable of generating quantitative data that can be used in computational models of clinical response, demonstrating its utility as a tool to contribute to personalized oncology.
Cancer Research , résumé, 2013