Miniaturized pre-clinical cancer models as research and diagnostic tools

被引:32
|
作者
Hakanson, Maria [1 ]
Cukierman, Edna [2 ]
Charnley, Mirren [3 ,4 ]
机构
[1] CSEM SA, Sect Microdiagnost, CH-7302 Landquart, Switzerland
[2] Fox Chase Canc Ctr, Canc Biol Program, Philadelphia, PA 19111 USA
[3] Swinburne Univ Technol, Ctr Microphoton, Hawthorn, Vic 3122, Australia
[4] Swinburne Univ Technol, Ind Res Inst Swinbume, Hawthorn, Vic 3122, Australia
基金
瑞士国家科学基金会;
关键词
Microfluidics; Cancer models; Pre-clinical drug assessment; Cell culturing devices; Extracellular matrix; Microfabricated model systems; Tumor microenvironment; Cell adhesion-mediated drug resistance; Combinatorial screening platforms; Body-on-a-chip; EPITHELIAL-MESENCHYMAL TRANSITION; TUMOR-ASSOCIATED FIBROBLASTS; 3-DIMENSIONAL CULTURE MODELS; MEDIATED DRUG-RESISTANCE; BREAST-CANCER; EXTRACELLULAR-MATRIX; CELL-CULTURE; BRANCHING MORPHOGENESIS; MONOCLONAL-ANTIBODY; BETA(1) INTEGRIN;
D O I
10.1016/j.addr.2013.11.010
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Cancer is one of the most common causes of death worldwide. Consequently, important resources are directed towards bettering treatments and outcomes. Cancer is difficult to treat due to its heterogeneity, plasticity and frequent drug resistance. New treatment strategies should strive for personalized approaches. These should target neoplastic and/or activated microenvironmental heterogeneity and plasticity without triggering resistance and spare host cells. In this review, the putative use of increasingly physiologically relevant microfabricated cell-culturing systems intended for drug development is discussed. There are two main reasons for the use of miniaturized systems. First, scaling down model size allows for high control of microenvironmental cues enabling more predictive outcomes. Second, miniaturization reduces reagent consumption, thus facilitating combinatorial approaches with little effort and enables the application of scarce materials, such as patient-derived samples. This review aims to give an overview of the state-of-the-art of such systems while predicting their application in cancer drug development. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:52 / 66
页数:15
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