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Pharmacoproteomic characterisation of human colon and rectal cancer
Most molecular cancer therapies act on protein targets but data on the proteome status of patients and cellular models for proteome‐guided pre‐clinical drug sensitivity studies are only beginning to emerge. Here, we profiled the proteomes of 65 colorectal cancer (CRC) cell lines to a depth of > 1...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5731344/ https://www.ncbi.nlm.nih.gov/pubmed/29101300 http://dx.doi.org/10.15252/msb.20177701 |
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author | Frejno, Martin Zenezini Chiozzi, Riccardo Wilhelm, Mathias Koch, Heiner Zheng, Runsheng Klaeger, Susan Ruprecht, Benjamin Meng, Chen Kramer, Karl Jarzab, Anna Heinzlmeir, Stephanie Johnstone, Elaine Domingo, Enric Kerr, David Jesinghaus, Moritz Slotta‐Huspenina, Julia Weichert, Wilko Knapp, Stefan Feller, Stephan M Kuster, Bernhard |
author_facet | Frejno, Martin Zenezini Chiozzi, Riccardo Wilhelm, Mathias Koch, Heiner Zheng, Runsheng Klaeger, Susan Ruprecht, Benjamin Meng, Chen Kramer, Karl Jarzab, Anna Heinzlmeir, Stephanie Johnstone, Elaine Domingo, Enric Kerr, David Jesinghaus, Moritz Slotta‐Huspenina, Julia Weichert, Wilko Knapp, Stefan Feller, Stephan M Kuster, Bernhard |
author_sort | Frejno, Martin |
collection | PubMed |
description | Most molecular cancer therapies act on protein targets but data on the proteome status of patients and cellular models for proteome‐guided pre‐clinical drug sensitivity studies are only beginning to emerge. Here, we profiled the proteomes of 65 colorectal cancer (CRC) cell lines to a depth of > 10,000 proteins using mass spectrometry. Integration with proteomes of 90 CRC patients and matched transcriptomics data defined integrated CRC subtypes, highlighting cell lines representative of each tumour subtype. Modelling the responses of 52 CRC cell lines to 577 drugs as a function of proteome profiles enabled predicting drug sensitivity for cell lines and patients. Among many novel associations, MERTK was identified as a predictive marker for resistance towards MEK1/2 inhibitors and immunohistochemistry of 1,074 CRC tumours confirmed MERTK as a prognostic survival marker. We provide the proteomic and pharmacological data as a resource to the community to, for example, facilitate the design of innovative prospective clinical trials. |
format | Online Article Text |
id | pubmed-5731344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57313442017-12-18 Pharmacoproteomic characterisation of human colon and rectal cancer Frejno, Martin Zenezini Chiozzi, Riccardo Wilhelm, Mathias Koch, Heiner Zheng, Runsheng Klaeger, Susan Ruprecht, Benjamin Meng, Chen Kramer, Karl Jarzab, Anna Heinzlmeir, Stephanie Johnstone, Elaine Domingo, Enric Kerr, David Jesinghaus, Moritz Slotta‐Huspenina, Julia Weichert, Wilko Knapp, Stefan Feller, Stephan M Kuster, Bernhard Mol Syst Biol Articles Most molecular cancer therapies act on protein targets but data on the proteome status of patients and cellular models for proteome‐guided pre‐clinical drug sensitivity studies are only beginning to emerge. Here, we profiled the proteomes of 65 colorectal cancer (CRC) cell lines to a depth of > 10,000 proteins using mass spectrometry. Integration with proteomes of 90 CRC patients and matched transcriptomics data defined integrated CRC subtypes, highlighting cell lines representative of each tumour subtype. Modelling the responses of 52 CRC cell lines to 577 drugs as a function of proteome profiles enabled predicting drug sensitivity for cell lines and patients. Among many novel associations, MERTK was identified as a predictive marker for resistance towards MEK1/2 inhibitors and immunohistochemistry of 1,074 CRC tumours confirmed MERTK as a prognostic survival marker. We provide the proteomic and pharmacological data as a resource to the community to, for example, facilitate the design of innovative prospective clinical trials. John Wiley and Sons Inc. 2017-11-03 /pmc/articles/PMC5731344/ /pubmed/29101300 http://dx.doi.org/10.15252/msb.20177701 Text en © 2017 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the Creative Commons Attribution 4.0 (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Frejno, Martin Zenezini Chiozzi, Riccardo Wilhelm, Mathias Koch, Heiner Zheng, Runsheng Klaeger, Susan Ruprecht, Benjamin Meng, Chen Kramer, Karl Jarzab, Anna Heinzlmeir, Stephanie Johnstone, Elaine Domingo, Enric Kerr, David Jesinghaus, Moritz Slotta‐Huspenina, Julia Weichert, Wilko Knapp, Stefan Feller, Stephan M Kuster, Bernhard Pharmacoproteomic characterisation of human colon and rectal cancer |
title | Pharmacoproteomic characterisation of human colon and rectal cancer |
title_full | Pharmacoproteomic characterisation of human colon and rectal cancer |
title_fullStr | Pharmacoproteomic characterisation of human colon and rectal cancer |
title_full_unstemmed | Pharmacoproteomic characterisation of human colon and rectal cancer |
title_short | Pharmacoproteomic characterisation of human colon and rectal cancer |
title_sort | pharmacoproteomic characterisation of human colon and rectal cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5731344/ https://www.ncbi.nlm.nih.gov/pubmed/29101300 http://dx.doi.org/10.15252/msb.20177701 |
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