Optimal patient stratification is of utmost importance in the era of personalized medicine. Prediction of individual treatment responses by functional assays requires model systems derived from viable tumor samples, which should closely resemble tumor characteristics and microenvironment. This review discusses a broad spectrum of model systems, ranging from classic 2D monolayer culture techniques to more experimental 'cancer-on-chip' procedures. We mainly focus on organotypic tumor slices that take tumor heterogeneity and tumor-stromal interactions into account. These 3D model systems can be exploited for patient selection as well as for fundamental research. Selection of the right model system for each specific research endeavor is crucial and requires careful balancing of the pros and cons of each technology.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481868PMC
http://dx.doi.org/10.4155/fsoa-2017-0003DOI Listing

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