Abstract 1158: Phenotypic screening using AMIDA identifies different drug responses in breast and prostate cancer cell lines in an organotypic cell culture model
Authors: Mervi Toriseva, Katja Fagerlund, Jesse Mattsson, Tiina E. Kähkönen, Ilmari Ahonen, Malin Åkerfelt, Jenni Bernoulli, Jussi M. Halleen, Matthias Nees, Jenni H. Mäki-Jouppila
Journal: Cancer Research (2018)

Abstract Organotypic 3D cell culture models combined with screening modalities and automated high-content image analyses provide tools to gain a spectrum of biologically relevant information simultaneously from drug responses in tumor cells. This includes information about cell growth, death, differentiation and tumor cell invasion. In this study, we examined the phenotypic drug responses of prostate cancer cell lines PC-3 and LNCaP, and breast cancer cell lines MDA-MB-231 (SA) and MCF-7 cultured in a miniaturized, imaging-optimized, Matrigel-based organotypic screening platform. We demonstrate the use of the 3D cell culture technology combined with automated morphometric image data analysis software AMIDA, for phenotypic, high-content screening. The emerging tumor organoids were treated with the cytostatic drugs doxorubicin, docetaxel and paclitaxel, a selective inhibitor of matrix metalloproteinase-13 (WAY170523), and with ROCK-inhibitors RKI-1447 and Y-27632. Treatments were conducted at seven different drug concentrations for 4-10 days. At the end point, confocal live cell images were captured and analyzed using AMIDA. Among others, the numerical data representing cell growth (Area) and cell invasion (Appendages) were visualized and used for statistics. EC50 values were calculated based on the Area-parameter derived from AMIDA analysis. All cell lines initially formed multicellular, round organoids. PC-3 cells formed round and well-differentiated structures but spontaneously converted around day 9 of culture into structures showing massive, string-like collective invasion into the surrounding matrix. A different pattern of cell invasion was observed in MDA-MB-231 organoids, which developed strong and multicellular extensions by day 7-8. Interestingly, both ROCK-inhibitors promoted the invasion of PC-3 cells, as detected by phenotypic analysis with AMIDA. In contrast, Y-27632 reduced the invasion of MDA-MB-231 cells, whereas both ROCK-inhibitors induced cell invasion in MCF-7 cells at high concentration. WAY170523 inhibited the invasion of PC-3 cells but not of MDA-MB-231 cells, pointing to a different mechanism of invasiveness. All cell lines were highly sensitive to doxorubicin, docetaxel and paclitaxel at nanomolar range, as detected by the decrease of cell invasion, reduced organoid size, and increased cell death. The breast cancer cells were more sensitive to taxanes than PC-3 cells. Organotypic 3D cultures combined with high-content phenotypic analysis with AMIDA software provide a quantitative view of drug effects and enable assessment of differential drug responses on various cell lines. Citation Format: Mervi Toriseva, Katja Fagerlund, Jesse Mattsson, Tiina E. Kähkönen, Ilmari Ahonen, Malin Åkerfelt, Jenni Bernoulli, Jussi M. Halleen, Matthias Nees, Jenni H. Mäki-Jouppila. Phenotypic screening using AMIDA identifies different drug responses in breast and prostate cancer cell lines in an organotypic cell culture model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1158.