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Serum levels of iCAF‐derived osteoglycin predict favorable outcome in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is characterized by abundant stroma, the main cellular constituents of which are cancer‐associated fibroblasts (CAFs). Stroma‐targeting agents have been proposed to improve the poor outcome of current treatments. However, clinical trials using these agents sho...

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Autores principales: Dings, Mark P. G., Manoukian, Paul, Waasdorp, Cynthia, Quik, Judith S. E., Strijker, Marin, Lodestijn, Sophie C., van Neerven, Sanne M., Moreno, Leandro F., de Oliveira, Rodrigo Leite, Bonsing, Bert A., Bruno, Marco J., Busch, Olivier R., Doukas, Michael, van Eijck, Casper H., Mohammad, Nadia Haj, de Hingh, Ignace H., Molenaar, Quintus I., Besselink, Marc G., Vermeulen, Louis, Medema, Jan Paul, van Laarhoven, Hanneke W. M., Bijlsma, Maarten F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087204/
https://www.ncbi.nlm.nih.gov/pubmed/36069222
http://dx.doi.org/10.1002/ijc.34276
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author Dings, Mark P. G.
Manoukian, Paul
Waasdorp, Cynthia
Quik, Judith S. E.
Strijker, Marin
Lodestijn, Sophie C.
van Neerven, Sanne M.
Moreno, Leandro F.
de Oliveira, Rodrigo Leite
Bonsing, Bert A.
Bruno, Marco J.
Busch, Olivier R.
Doukas, Michael
van Eijck, Casper H.
Mohammad, Nadia Haj
de Hingh, Ignace H.
Molenaar, Quintus I.
Besselink, Marc G.
Vermeulen, Louis
Medema, Jan Paul
van Laarhoven, Hanneke W. M.
Bijlsma, Maarten F.
author_facet Dings, Mark P. G.
Manoukian, Paul
Waasdorp, Cynthia
Quik, Judith S. E.
Strijker, Marin
Lodestijn, Sophie C.
van Neerven, Sanne M.
Moreno, Leandro F.
de Oliveira, Rodrigo Leite
Bonsing, Bert A.
Bruno, Marco J.
Busch, Olivier R.
Doukas, Michael
van Eijck, Casper H.
Mohammad, Nadia Haj
de Hingh, Ignace H.
Molenaar, Quintus I.
Besselink, Marc G.
Vermeulen, Louis
Medema, Jan Paul
van Laarhoven, Hanneke W. M.
Bijlsma, Maarten F.
author_sort Dings, Mark P. G.
collection PubMed
description Pancreatic ductal adenocarcinoma (PDAC) is characterized by abundant stroma, the main cellular constituents of which are cancer‐associated fibroblasts (CAFs). Stroma‐targeting agents have been proposed to improve the poor outcome of current treatments. However, clinical trials using these agents showed disappointing results. Heterogeneity in the PDAC CAF population was recently delineated demonstrating that both tumor‐promoting and tumor‐suppressive activities co‐exist in the stroma. Here, we aimed to identify biomarkers for the CAF population that contribute to a favorable outcome. RNA‐sequencing reads from patient‐derived xenografts (PDXs) were mapped to the human and mouse genome to allocate the expression of genes to the tumor or stroma. Survival meta‐analysis for stromal genes was performed and applied to human protein atlas data to identify circulating biomarkers. The candidate protein was perturbed in co‐cultures and assessed in existing and novel single‐cell gene expression analysis from control, pancreatitis, pancreatitis‐recovered and PDAC mouse models. Serum levels of the candidate biomarker were measured in two independent cohorts totaling 148 PDAC patients and related them to overall survival. Osteoglycin (OGN) was identified as a candidate serum prognostic marker. Single‐cell analysis indicated that Ogn is derived from a subgroup of inflammatory CAFs. Ogn‐expressing fibroblasts are distinct from resident healthy pancreatic stellate cells and arise during pancreatitis. Serum OGN levels were prognostic for favorable overall survival in two independent PDAC cohorts (HR = 0.47, P = .042 and HR = 0.53, P = .006). Altogether, we conclude that high circulating OGN levels inform on a previously unrecognized subgroup of CAFs and predict favorable outcomes in resectable PDAC.
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spelling pubmed-100872042023-04-12 Serum levels of iCAF‐derived osteoglycin predict favorable outcome in pancreatic cancer Dings, Mark P. G. Manoukian, Paul Waasdorp, Cynthia Quik, Judith S. E. Strijker, Marin Lodestijn, Sophie C. van Neerven, Sanne M. Moreno, Leandro F. de Oliveira, Rodrigo Leite Bonsing, Bert A. Bruno, Marco J. Busch, Olivier R. Doukas, Michael van Eijck, Casper H. Mohammad, Nadia Haj de Hingh, Ignace H. Molenaar, Quintus I. Besselink, Marc G. Vermeulen, Louis Medema, Jan Paul van Laarhoven, Hanneke W. M. Bijlsma, Maarten F. Int J Cancer Tumor Markers and Signatures Pancreatic ductal adenocarcinoma (PDAC) is characterized by abundant stroma, the main cellular constituents of which are cancer‐associated fibroblasts (CAFs). Stroma‐targeting agents have been proposed to improve the poor outcome of current treatments. However, clinical trials using these agents showed disappointing results. Heterogeneity in the PDAC CAF population was recently delineated demonstrating that both tumor‐promoting and tumor‐suppressive activities co‐exist in the stroma. Here, we aimed to identify biomarkers for the CAF population that contribute to a favorable outcome. RNA‐sequencing reads from patient‐derived xenografts (PDXs) were mapped to the human and mouse genome to allocate the expression of genes to the tumor or stroma. Survival meta‐analysis for stromal genes was performed and applied to human protein atlas data to identify circulating biomarkers. The candidate protein was perturbed in co‐cultures and assessed in existing and novel single‐cell gene expression analysis from control, pancreatitis, pancreatitis‐recovered and PDAC mouse models. Serum levels of the candidate biomarker were measured in two independent cohorts totaling 148 PDAC patients and related them to overall survival. Osteoglycin (OGN) was identified as a candidate serum prognostic marker. Single‐cell analysis indicated that Ogn is derived from a subgroup of inflammatory CAFs. Ogn‐expressing fibroblasts are distinct from resident healthy pancreatic stellate cells and arise during pancreatitis. Serum OGN levels were prognostic for favorable overall survival in two independent PDAC cohorts (HR = 0.47, P = .042 and HR = 0.53, P = .006). Altogether, we conclude that high circulating OGN levels inform on a previously unrecognized subgroup of CAFs and predict favorable outcomes in resectable PDAC. John Wiley & Sons, Inc. 2022-09-19 2023-02-01 /pmc/articles/PMC10087204/ /pubmed/36069222 http://dx.doi.org/10.1002/ijc.34276 Text en © 2022 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Tumor Markers and Signatures
Dings, Mark P. G.
Manoukian, Paul
Waasdorp, Cynthia
Quik, Judith S. E.
Strijker, Marin
Lodestijn, Sophie C.
van Neerven, Sanne M.
Moreno, Leandro F.
de Oliveira, Rodrigo Leite
Bonsing, Bert A.
Bruno, Marco J.
Busch, Olivier R.
Doukas, Michael
van Eijck, Casper H.
Mohammad, Nadia Haj
de Hingh, Ignace H.
Molenaar, Quintus I.
Besselink, Marc G.
Vermeulen, Louis
Medema, Jan Paul
van Laarhoven, Hanneke W. M.
Bijlsma, Maarten F.
Serum levels of iCAF‐derived osteoglycin predict favorable outcome in pancreatic cancer
title Serum levels of iCAF‐derived osteoglycin predict favorable outcome in pancreatic cancer
title_full Serum levels of iCAF‐derived osteoglycin predict favorable outcome in pancreatic cancer
title_fullStr Serum levels of iCAF‐derived osteoglycin predict favorable outcome in pancreatic cancer
title_full_unstemmed Serum levels of iCAF‐derived osteoglycin predict favorable outcome in pancreatic cancer
title_short Serum levels of iCAF‐derived osteoglycin predict favorable outcome in pancreatic cancer
title_sort serum levels of icaf‐derived osteoglycin predict favorable outcome in pancreatic cancer
topic Tumor Markers and Signatures
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087204/
https://www.ncbi.nlm.nih.gov/pubmed/36069222
http://dx.doi.org/10.1002/ijc.34276
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