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Item Type: | Article |
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Title: | Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors. |
Creators Name: | Schütte, M., Risch, T., Abdavi-Azar, N., Boehnke, K., Schumacher, D., Keil, M., Yildiriman, R., Jandrasits, C., Borodina, T., Amstislavskiy, V., Worth, C.L., Schweiger, C., Liebs, S., Lange, M., Warnatz, H.J., Butcher, L.M., Barrett, J.E., Sultan, M., Wierling, C., Golob-Schwarzl, N., Lax, S., Uranitsch, S., Becker, M., Welte, Y., Regan, J.L., Silvestrov, M., Kehler, I., Fusi, A., Kessler, T., Herwig, R., Landegren, U., Wienke, D., Nilsson, M., Velasco, J.A., Garin-Chesa, P., Reinhard, C., Beck, S., Schäfer, R., Regenbrecht, C.R.A., Henderson, D., Lange, B., Haybaeck, J., Keilholz, U., Hoffmann, J., Lehrach, H. and Yaspo, M.L. |
Abstract: | Colorectal carcinoma represents a heterogeneous entity, with only a fraction of the tumours responding to available therapies, requiring a better molecular understanding of the disease in precision oncology. To address this challenge, the OncoTrack consortium recruited 106 CRC patients (stages I-IV) and developed a pre-clinical platform generating a compendium of drug sensitivity data totalling >4,000 assays testing 16 clinical drugs on patient-derived in vivo and in vitro models. This large biobank of 106 tumours, 35 organoids and 59 xenografts, with extensive omics data comparing donor tumours and derived models provides a resource for advancing our understanding of CRC. Models recapitulate many of the genetic and transcriptomic features of the donors, but defined less complex molecular sub-groups because of the loss of human stroma. Linking molecular profiles with drug sensitivity patterns identifies novel biomarkers, including a signature outperforming RAS/RAF mutations in predicting sensitivity to the EGFR inhibitor cetuximab. |
Keywords: | Cetuximab, Colorectal Neoplasms, Epidermal Growth Factor Receptor, Gene Expression Profiling, Immunological Antineoplastic Agents, Neoplastic Gene Expression Regulation, Tumor Biomarkers, Xenograft Model Antitumor Assays, Animals |
Source: | Nature Communications |
ISSN: | 2041-1723 |
Publisher: | Nature Publishing Group |
Volume: | 8 |
Page Range: | 14262 |
Date: | 10 February 2017 |
Official Publication: | https://doi.org/10.1038/ncomms14262 |
PubMed: | View item in PubMed |
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