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Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a mortality that is almost identical to incidence. Because early detected PDAC is potentially curable, blood-based biomarkers that could detect currently developing neoplasia would improve patient surviva...

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Autores principales: Ligat, Laetitia, Saint-Laurent, Nathalie, El-Mrani, Aïcha, Gigoux, Véronique, Al Saati, Talal, Tomasini, Richard, Nigri, Jérémy, Dejean, Sébastien, Pont, Frédéric, Baer, Romain, Guillermet-Guibert, Julie, Cordelier, Pierre, Lopez, Frédéric, Dufresne, Marlène
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705884/
https://www.ncbi.nlm.nih.gov/pubmed/26512875
http://dx.doi.org/10.1038/bjc.2015.370
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author Ligat, Laetitia
Saint-Laurent, Nathalie
El-Mrani, Aïcha
Gigoux, Véronique
Al Saati, Talal
Tomasini, Richard
Nigri, Jérémy
Dejean, Sébastien
Pont, Frédéric
Baer, Romain
Guillermet-Guibert, Julie
Cordelier, Pierre
Lopez, Frédéric
Dufresne, Marlène
author_facet Ligat, Laetitia
Saint-Laurent, Nathalie
El-Mrani, Aïcha
Gigoux, Véronique
Al Saati, Talal
Tomasini, Richard
Nigri, Jérémy
Dejean, Sébastien
Pont, Frédéric
Baer, Romain
Guillermet-Guibert, Julie
Cordelier, Pierre
Lopez, Frédéric
Dufresne, Marlène
author_sort Ligat, Laetitia
collection PubMed
description BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a mortality that is almost identical to incidence. Because early detected PDAC is potentially curable, blood-based biomarkers that could detect currently developing neoplasia would improve patient survival and management. PDAC develops from pancreatic intraepithelial neoplasia (PanIN) lesions, graded from low grade (PanIN1) to high grade (PanIN3). We made the hypothesis that specific proteomic signatures from each precancerous stage exist and are detectable in plasma. METHODS: We explored the peptide profiles of microdissected PanIN cells and of plasma samples corresponding to the different PanIN grade from genetically engineered mouse models of PDAC using capillary electrophoresis coupled to mass spectrometry (CE-MS) and Chip-MS/MS. RESULTS: We successfully characterised differential peptides profiles from PanIN microdissected cells. We found that plasma from tumor-bearing mice and age-matched controls exhibit discriminative peptide signatures. We also determined plasma peptide signatures corresponding to low- and high-grade precancerous step present in the mice pancreas using the two mass spectrometry technologies. Importantly, we identified biomarkers specific of PanIN3. CONCLUSIONS: We demonstrate that benign and advanced PanIN lesions display distinct plasma peptide patterns. This strongly supports the perspectives of developing a non-invasive screening test for prediction and early detection of PDAC.
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spelling pubmed-47058842016-12-01 Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models Ligat, Laetitia Saint-Laurent, Nathalie El-Mrani, Aïcha Gigoux, Véronique Al Saati, Talal Tomasini, Richard Nigri, Jérémy Dejean, Sébastien Pont, Frédéric Baer, Romain Guillermet-Guibert, Julie Cordelier, Pierre Lopez, Frédéric Dufresne, Marlène Br J Cancer Molecular Diagnostics BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a mortality that is almost identical to incidence. Because early detected PDAC is potentially curable, blood-based biomarkers that could detect currently developing neoplasia would improve patient survival and management. PDAC develops from pancreatic intraepithelial neoplasia (PanIN) lesions, graded from low grade (PanIN1) to high grade (PanIN3). We made the hypothesis that specific proteomic signatures from each precancerous stage exist and are detectable in plasma. METHODS: We explored the peptide profiles of microdissected PanIN cells and of plasma samples corresponding to the different PanIN grade from genetically engineered mouse models of PDAC using capillary electrophoresis coupled to mass spectrometry (CE-MS) and Chip-MS/MS. RESULTS: We successfully characterised differential peptides profiles from PanIN microdissected cells. We found that plasma from tumor-bearing mice and age-matched controls exhibit discriminative peptide signatures. We also determined plasma peptide signatures corresponding to low- and high-grade precancerous step present in the mice pancreas using the two mass spectrometry technologies. Importantly, we identified biomarkers specific of PanIN3. CONCLUSIONS: We demonstrate that benign and advanced PanIN lesions display distinct plasma peptide patterns. This strongly supports the perspectives of developing a non-invasive screening test for prediction and early detection of PDAC. Nature Publishing Group 2015-12-01 2015-10-29 /pmc/articles/PMC4705884/ /pubmed/26512875 http://dx.doi.org/10.1038/bjc.2015.370 Text en Copyright © 2015 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Molecular Diagnostics
Ligat, Laetitia
Saint-Laurent, Nathalie
El-Mrani, Aïcha
Gigoux, Véronique
Al Saati, Talal
Tomasini, Richard
Nigri, Jérémy
Dejean, Sébastien
Pont, Frédéric
Baer, Romain
Guillermet-Guibert, Julie
Cordelier, Pierre
Lopez, Frédéric
Dufresne, Marlène
Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models
title Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models
title_full Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models
title_fullStr Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models
title_full_unstemmed Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models
title_short Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models
title_sort pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models
topic Molecular Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705884/
https://www.ncbi.nlm.nih.gov/pubmed/26512875
http://dx.doi.org/10.1038/bjc.2015.370
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