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Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics

For patients with metastatic pancreatic cancer that are not eligible for surgery, signal-targeted therapies have so far failed to significantly improve survival. These therapeutic options have been tested in phase II/III clinical trials mostly in combination with the reference treatment gemcitabine....

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Autores principales: Cintas, Célia, Douché, Thibaut, Therville, Nicole, Arcucci, Silvia, Ramos-Delgado, Fernanda, Basset, Céline, Thibault, Benoît, Guillermet-Guibert, Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025626/
https://www.ncbi.nlm.nih.gov/pubmed/29865155
http://dx.doi.org/10.3390/cancers10060174
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author Cintas, Célia
Douché, Thibaut
Therville, Nicole
Arcucci, Silvia
Ramos-Delgado, Fernanda
Basset, Céline
Thibault, Benoît
Guillermet-Guibert, Julie
author_facet Cintas, Célia
Douché, Thibaut
Therville, Nicole
Arcucci, Silvia
Ramos-Delgado, Fernanda
Basset, Céline
Thibault, Benoît
Guillermet-Guibert, Julie
author_sort Cintas, Célia
collection PubMed
description For patients with metastatic pancreatic cancer that are not eligible for surgery, signal-targeted therapies have so far failed to significantly improve survival. These therapeutic options have been tested in phase II/III clinical trials mostly in combination with the reference treatment gemcitabine. Innovative therapies aim to annihilate oncogenic dependency, or to normalize the tumoural stroma to allow immune cells to function and/or re-vascularisation to occur. Large scale transcriptomic and genomic analysis revealed that pancreatic cancers display great heterogeneity but failed to clearly delineate specific oncogene dependency, besides oncogenic Kras. Beyond these approaches, proteomics appears to be an appropriate approach to classify signal dependency and to identify specific alterations at the targetable level. However, due to difficulties in sampling, proteomic data for this pathology are scarce. In this review, we will discuss the current state of clinical trials for targeted therapies against pancreatic cancer. We will then highlight the most recent proteomic data for pancreatic tumours and their metastasis, which could help to identify major oncogenic signalling dependencies, as well as provide future leads to explain why pancreatic tumours are intrinsically resistant to signal-targeted therapies. We will finally discuss how studies on phosphatidylinositol-3-kinase (PI3K) signalling, as the paradigmatic pro-tumoural signal downstream of oncogenic Kras in pancreatic cancer, would benefit from exploratory proteomics to increase the efficiency of targeted therapies.
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spelling pubmed-60256262018-07-09 Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics Cintas, Célia Douché, Thibaut Therville, Nicole Arcucci, Silvia Ramos-Delgado, Fernanda Basset, Céline Thibault, Benoît Guillermet-Guibert, Julie Cancers (Basel) Review For patients with metastatic pancreatic cancer that are not eligible for surgery, signal-targeted therapies have so far failed to significantly improve survival. These therapeutic options have been tested in phase II/III clinical trials mostly in combination with the reference treatment gemcitabine. Innovative therapies aim to annihilate oncogenic dependency, or to normalize the tumoural stroma to allow immune cells to function and/or re-vascularisation to occur. Large scale transcriptomic and genomic analysis revealed that pancreatic cancers display great heterogeneity but failed to clearly delineate specific oncogene dependency, besides oncogenic Kras. Beyond these approaches, proteomics appears to be an appropriate approach to classify signal dependency and to identify specific alterations at the targetable level. However, due to difficulties in sampling, proteomic data for this pathology are scarce. In this review, we will discuss the current state of clinical trials for targeted therapies against pancreatic cancer. We will then highlight the most recent proteomic data for pancreatic tumours and their metastasis, which could help to identify major oncogenic signalling dependencies, as well as provide future leads to explain why pancreatic tumours are intrinsically resistant to signal-targeted therapies. We will finally discuss how studies on phosphatidylinositol-3-kinase (PI3K) signalling, as the paradigmatic pro-tumoural signal downstream of oncogenic Kras in pancreatic cancer, would benefit from exploratory proteomics to increase the efficiency of targeted therapies. MDPI 2018-06-01 /pmc/articles/PMC6025626/ /pubmed/29865155 http://dx.doi.org/10.3390/cancers10060174 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Cintas, Célia
Douché, Thibaut
Therville, Nicole
Arcucci, Silvia
Ramos-Delgado, Fernanda
Basset, Céline
Thibault, Benoît
Guillermet-Guibert, Julie
Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics
title Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics
title_full Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics
title_fullStr Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics
title_full_unstemmed Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics
title_short Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics
title_sort signal-targeted therapies and resistance mechanisms in pancreatic cancer: future developments reside in proteomics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025626/
https://www.ncbi.nlm.nih.gov/pubmed/29865155
http://dx.doi.org/10.3390/cancers10060174
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