Abstract 2018: A pipeline within the OncoTrack project for generating Patient-tumor-derived 3D cell cultures (PT3DC) and their application for individualized, targeted drug sensitivity assays

Abstract

OncoTrack is an international consortium funded by the Innovative Medicines Initiative (www.OncoTrack.eu) that has launched one of Europe's largest collaborative public-private research projects to implement novel approaches of systems biology in colon cancer therapy. Within OncoTrack, tumor tissue and circulating tumor cells from a cohort of more than 120 patients with primary or metastatic colon cancer are subjected to whole genome-, exome-, epigenome- and transcriptome sequencing, as well as high-throughput protein analysis. Alongside the systematic analysis of colon cancer tissues, in vivo xenografts in immunodeficient mice (patient-derived xenografts, PDX) and in vitro 3D cell cultures are generated from each tissue sample and used to determine response to more than 14 approved drugs, investigational drug candidates and tool compounds. These wet-lab data, combined with clinical data, will serve as a basis for in silico modeling to identify new predictors for tailored therapies. Although early diagnosis and molecular characterization of colon cancer has improved significantly, rapid and cost-effective means to address molecular genotyping and therapeutic options on the level of the individual patient are still in high demand. Here, we present an experimental pipeline within the OncoTrack project starting from Matrigel-based Patient-tumor-derived 3D cell cultures (PT3DC). To date, we were able to establish 50 long-term 3D cell culture strains originating from 35 primary tumors, 9 metastases and 6 PDX-derived tissues as suitable models for basic and translational research. On the basis of immunohistochemistry, we show that our in vitro cultures preserve an in vivo like architecture, preventing tumor cells from differentiating and allowing the investigation of intra-tumor heterogeneity and cancer stem cell like sub-populations. To interrogate the mutation status of selected clinically relevant oncogenes and tumor suppressors in PT3DC cultures, we applied cost-efficient benchtop sequencing and show the preservation of putative driver mutations found in the original tumor. IC50 data generated by automated 384-well based dose-response experiments of approved drugs are then used to link individual genotypes with drug sensitivity phenotypes and serve as a source of comparison and complementation to drug response data of the corresponding in vivo PDX models, where applicable. Citation Format: Dirk Schumacher, Karsten Boehnke, Martin Lange, Yvonne Welte, Cathrin Davies, Maria Rivera, Marlen Keil, Ulrich Keilholz, Johannes Haybaeck, Juan Angel Velasco, Marie-Laure Yaspo, Hans Lehrach, David Henderson, Christoph Reinhard, Jens Hoffmann, Reinhold Schaefer, Christian Regenbrecht. A pipeline within the OncoTrack project for generating Patient-tumor-derived 3D cell cultures (PT3DC) and their application for individualized, targeted drug sensitivity assays. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2018. doi:10.1158/1538-7445.AM2014-2018