The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors
Open accessAbstract
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.
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Cites
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Metadata
- Authors
- 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., & Yaspo, M.-L.
- Venue
- Nature Communications
- Published
- 2017-02-10
- Volume
- 8
- Issue
- 1
- Pages
- 14262-14262
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2586712356
- Cited by
- 339
- References
- 17
- FWCI
- 13.03
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors. https://app.cochat.ai/papers/10.1038/ncomms14262
- The paper
- 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., . . . Yaspo, M.-L. (2017). Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors. Nature Communications. https://doi.org/10.1038/ncomms14262
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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