BACKGROUND: Three-dimensional (3D) in-vitro cultures are recognized for recapitulating the physiological microenvironment and exhibiting high concordance with in-vivo conditions. Taking the advantages of 3D culture, we have developed the in-vitro tumor model for anticancer drug screening. METHODS: Cancer cells grown in 6 and 96 well AlgiMatrix⢠scaffolds resulted in the formation of multicellular spheroids in the size range of 100-300 µm. Spheroids were grown in two weeks in cultures without compromising the growth characteristics. Different marketed anticancer drugs were screened by incubating them for 24 h at 7, 9 and 11 days in 3D cultures and cytotoxicity was measured by AlamarBlue® assay. Effectiveness of anticancer drug treatments were measured based on spheroid number and size distribution. Evaluation of apoptotic and anti-apoptotic markers was done by immunohistochemistry and RT-PCR. The 3D results were compared with the conventional 2D monolayer cultures. Cellular uptake studies for drug (Doxorubicin) and nanoparticle (NLC) were done using spheroids. RESULTS: IC(50) values for anticancer drugs were significantly higher in AlgiMatrix⢠systems compared to 2D culture models. The cleaved caspase-3 expression was significantly decreased (2.09 and 2.47 folds respectively for 5-Fluorouracil and Camptothecin) in H460 spheroid cultures compared to 2D culture system. The cytotoxicity, spheroid size distribution, immunohistochemistry, RT-PCR and nanoparticle penetration data suggested that in vitro tumor models show higher resistance to anticancer drugs and supporting the fact that 3D culture is a better model for the cytotoxic evaluation of anticancer drugs in vitro. CONCLUSION: The results from our studies are useful to develop a high throughput in vitro tumor model to study the effect of various anticancer agents and various molecular pathways affected by the anticancer drugs and formulations.
AlgiMatrix⢠based 3D cell culture system as an in-vitro tumor model for anticancer studies.
基于 AlgiMatrix™ 的 3D 细胞培养系统作为体外肿瘤模型用于抗癌研究
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作者:Godugu Chandraiah, Patel Apurva R, Desai Utkarsh, Andey Terrick, Sams Alexandria, Singh Mandip
| 期刊: | PLoS One | 影响因子: | 2.600 |
| 时间: | 2013 | 起止号: | 2013;8(1):e53708 |
| doi: | 10.1371/journal.pone.0053708 | 研究方向: | 肿瘤 |
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