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Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors
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)...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5309787/ https://www.ncbi.nlm.nih.gov/pubmed/28186126 http://dx.doi.org/10.1038/ncomms14262 |
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author | Schütte, Moritz Risch, Thomas Abdavi-Azar, Nilofar Boehnke, Karsten Schumacher, Dirk Keil, Marlen Yildiriman, Reha Jandrasits, Christine Borodina, Tatiana Amstislavskiy, Vyacheslav Worth, Catherine L. Schweiger, Caroline Liebs, Sandra Lange, Martin Warnatz, Hans- Jörg Butcher, Lee M. Barrett, James E. Sultan, Marc Wierling, Christoph Golob-Schwarzl, Nicole Lax, Sigurd Uranitsch, Stefan Becker, Michael Welte, Yvonne Regan, Joseph Lewis Silvestrov, Maxine Kehler, Inge Fusi, Alberto Kessler, Thomas Herwig, Ralf Landegren, Ulf Wienke, Dirk Nilsson, Mats Velasco, Juan A. Garin-Chesa, Pilar Reinhard, Christoph Beck, Stephan Schäfer, Reinhold Regenbrecht, Christian R. A. Henderson, David Lange, Bodo Haybaeck, Johannes Keilholz, Ulrich Hoffmann, Jens Lehrach, Hans Yaspo, Marie-Laure |
author_facet | Schütte, Moritz Risch, Thomas Abdavi-Azar, Nilofar Boehnke, Karsten Schumacher, Dirk Keil, Marlen Yildiriman, Reha Jandrasits, Christine Borodina, Tatiana Amstislavskiy, Vyacheslav Worth, Catherine L. Schweiger, Caroline Liebs, Sandra Lange, Martin Warnatz, Hans- Jörg Butcher, Lee M. Barrett, James E. Sultan, Marc Wierling, Christoph Golob-Schwarzl, Nicole Lax, Sigurd Uranitsch, Stefan Becker, Michael Welte, Yvonne Regan, Joseph Lewis Silvestrov, Maxine Kehler, Inge Fusi, Alberto Kessler, Thomas Herwig, Ralf Landegren, Ulf Wienke, Dirk Nilsson, Mats Velasco, Juan A. Garin-Chesa, Pilar Reinhard, Christoph Beck, Stephan Schäfer, Reinhold Regenbrecht, Christian R. A. Henderson, David Lange, Bodo Haybaeck, Johannes Keilholz, Ulrich Hoffmann, Jens Lehrach, Hans Yaspo, Marie-Laure |
author_sort | Schütte, Moritz |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5309787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53097872017-02-27 Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors Schütte, Moritz Risch, Thomas Abdavi-Azar, Nilofar Boehnke, Karsten Schumacher, Dirk Keil, Marlen Yildiriman, Reha Jandrasits, Christine Borodina, Tatiana Amstislavskiy, Vyacheslav Worth, Catherine L. Schweiger, Caroline Liebs, Sandra Lange, Martin Warnatz, Hans- Jörg Butcher, Lee M. Barrett, James E. Sultan, Marc Wierling, Christoph Golob-Schwarzl, Nicole Lax, Sigurd Uranitsch, Stefan Becker, Michael Welte, Yvonne Regan, Joseph Lewis Silvestrov, Maxine Kehler, Inge Fusi, Alberto Kessler, Thomas Herwig, Ralf Landegren, Ulf Wienke, Dirk Nilsson, Mats Velasco, Juan A. Garin-Chesa, Pilar Reinhard, Christoph Beck, Stephan Schäfer, Reinhold Regenbrecht, Christian R. A. Henderson, David Lange, Bodo Haybaeck, Johannes Keilholz, Ulrich Hoffmann, Jens Lehrach, Hans Yaspo, Marie-Laure Nat Commun Article 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. Nature Publishing Group 2017-02-10 /pmc/articles/PMC5309787/ /pubmed/28186126 http://dx.doi.org/10.1038/ncomms14262 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Schütte, Moritz Risch, Thomas Abdavi-Azar, Nilofar Boehnke, Karsten Schumacher, Dirk Keil, Marlen Yildiriman, Reha Jandrasits, Christine Borodina, Tatiana Amstislavskiy, Vyacheslav Worth, Catherine L. Schweiger, Caroline Liebs, Sandra Lange, Martin Warnatz, Hans- Jörg Butcher, Lee M. Barrett, James E. Sultan, Marc Wierling, Christoph Golob-Schwarzl, Nicole Lax, Sigurd Uranitsch, Stefan Becker, Michael Welte, Yvonne Regan, Joseph Lewis Silvestrov, Maxine Kehler, Inge Fusi, Alberto Kessler, Thomas Herwig, Ralf Landegren, Ulf Wienke, Dirk Nilsson, Mats Velasco, Juan A. Garin-Chesa, Pilar Reinhard, Christoph Beck, Stephan Schäfer, Reinhold Regenbrecht, Christian R. A. Henderson, David Lange, Bodo Haybaeck, Johannes Keilholz, Ulrich Hoffmann, Jens Lehrach, Hans Yaspo, Marie-Laure Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors |
title | Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors |
title_full | Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors |
title_fullStr | Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors |
title_full_unstemmed | Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors |
title_short | Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors |
title_sort | molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to egfr inhibitors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5309787/ https://www.ncbi.nlm.nih.gov/pubmed/28186126 http://dx.doi.org/10.1038/ncomms14262 |
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