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Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts
c‐MYC controls more than 15% of genes responsible for proliferation, differentiation, and cellular metabolism in pancreatic as well as other cancers making this transcription factor a prime target for treating patients. The transcriptome of 55 patient‐derived xenografts show that 30% of them share a...
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/PMC5376755/ https://www.ncbi.nlm.nih.gov/pubmed/28275007 http://dx.doi.org/10.15252/emmm.201606975 |
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author | Bian, Benjamin Bigonnet, Martin Gayet, Odile Loncle, Celine Maignan, Aurélie Gilabert, Marine Moutardier, Vincent Garcia, Stephane Turrini, Olivier Delpero, Jean‐Robert Giovannini, Marc Grandval, Philippe Gasmi, Mohamed Ouaissi, Mehdi Secq, Veronique Poizat, Flora Nicolle, Rémy Blum, Yuna Marisa, Laetitia Rubis, Marion Raoul, Jean‐Luc Bradner, James E Qi, Jun Lomberk, Gwen Urrutia, Raul Saul, Andres Dusetti, Nelson Iovanna, Juan |
author_facet | Bian, Benjamin Bigonnet, Martin Gayet, Odile Loncle, Celine Maignan, Aurélie Gilabert, Marine Moutardier, Vincent Garcia, Stephane Turrini, Olivier Delpero, Jean‐Robert Giovannini, Marc Grandval, Philippe Gasmi, Mohamed Ouaissi, Mehdi Secq, Veronique Poizat, Flora Nicolle, Rémy Blum, Yuna Marisa, Laetitia Rubis, Marion Raoul, Jean‐Luc Bradner, James E Qi, Jun Lomberk, Gwen Urrutia, Raul Saul, Andres Dusetti, Nelson Iovanna, Juan |
author_sort | Bian, Benjamin |
collection | PubMed |
description | c‐MYC controls more than 15% of genes responsible for proliferation, differentiation, and cellular metabolism in pancreatic as well as other cancers making this transcription factor a prime target for treating patients. The transcriptome of 55 patient‐derived xenografts show that 30% of them share an exacerbated expression profile of MYC transcriptional targets (MYC‐high). This cohort is characterized by a high level of Ki67 staining, a lower differentiation state, and a shorter survival time compared to the MYC‐low subgroup. To define classifier expression signature, we selected a group of 10 MYC target transcripts which expression is increased in the MYC‐high group and six transcripts increased in the MYC‐low group. We validated the ability of these markers panel to identify MYC‐high patient‐derived xenografts from both: discovery and validation cohorts as well as primary cell cultures from the same patients. We then showed that cells from MYC‐high patients are more sensitive to JQ1 treatment compared to MYC‐low cells, in monolayer, 3D cultured spheroids and in vivo xenografted tumors, due to cell cycle arrest followed by apoptosis. Therefore, these results provide new markers and potentially novel therapeutic modalities for distinct subgroups of pancreatic tumors and may find application to the future management of these patients within the setting of individualized medicine clinics. |
format | Online Article Text |
id | pubmed-5376755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53767552017-04-05 Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts Bian, Benjamin Bigonnet, Martin Gayet, Odile Loncle, Celine Maignan, Aurélie Gilabert, Marine Moutardier, Vincent Garcia, Stephane Turrini, Olivier Delpero, Jean‐Robert Giovannini, Marc Grandval, Philippe Gasmi, Mohamed Ouaissi, Mehdi Secq, Veronique Poizat, Flora Nicolle, Rémy Blum, Yuna Marisa, Laetitia Rubis, Marion Raoul, Jean‐Luc Bradner, James E Qi, Jun Lomberk, Gwen Urrutia, Raul Saul, Andres Dusetti, Nelson Iovanna, Juan EMBO Mol Med Research Articles c‐MYC controls more than 15% of genes responsible for proliferation, differentiation, and cellular metabolism in pancreatic as well as other cancers making this transcription factor a prime target for treating patients. The transcriptome of 55 patient‐derived xenografts show that 30% of them share an exacerbated expression profile of MYC transcriptional targets (MYC‐high). This cohort is characterized by a high level of Ki67 staining, a lower differentiation state, and a shorter survival time compared to the MYC‐low subgroup. To define classifier expression signature, we selected a group of 10 MYC target transcripts which expression is increased in the MYC‐high group and six transcripts increased in the MYC‐low group. We validated the ability of these markers panel to identify MYC‐high patient‐derived xenografts from both: discovery and validation cohorts as well as primary cell cultures from the same patients. We then showed that cells from MYC‐high patients are more sensitive to JQ1 treatment compared to MYC‐low cells, in monolayer, 3D cultured spheroids and in vivo xenografted tumors, due to cell cycle arrest followed by apoptosis. Therefore, these results provide new markers and potentially novel therapeutic modalities for distinct subgroups of pancreatic tumors and may find application to the future management of these patients within the setting of individualized medicine clinics. John Wiley and Sons Inc. 2017-03-08 2017-04 /pmc/articles/PMC5376755/ /pubmed/28275007 http://dx.doi.org/10.15252/emmm.201606975 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 | Research Articles Bian, Benjamin Bigonnet, Martin Gayet, Odile Loncle, Celine Maignan, Aurélie Gilabert, Marine Moutardier, Vincent Garcia, Stephane Turrini, Olivier Delpero, Jean‐Robert Giovannini, Marc Grandval, Philippe Gasmi, Mohamed Ouaissi, Mehdi Secq, Veronique Poizat, Flora Nicolle, Rémy Blum, Yuna Marisa, Laetitia Rubis, Marion Raoul, Jean‐Luc Bradner, James E Qi, Jun Lomberk, Gwen Urrutia, Raul Saul, Andres Dusetti, Nelson Iovanna, Juan Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts |
title | Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts |
title_full | Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts |
title_fullStr | Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts |
title_full_unstemmed | Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts |
title_short | Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts |
title_sort | gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the bet bromodomain inhibitor jq1: implications for individualized medicine efforts |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376755/ https://www.ncbi.nlm.nih.gov/pubmed/28275007 http://dx.doi.org/10.15252/emmm.201606975 |
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