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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
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.
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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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