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S100 family proteins are linked to organoid morphology and EMT in pancreatic cancer
Epithelial-mesenchymal transition (EMT) is a continuum that includes epithelial, partial EMT, and mesenchymal states, each of which is associated with cancer progression, invasive capabilities, and ultimately, metastasis. We used a lineage-traced sporadic model of pancreatic cancer to generate a mur...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154348/ https://www.ncbi.nlm.nih.gov/pubmed/36828915 http://dx.doi.org/10.1038/s41418-023-01126-z |
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author | Low, Ronnie Ren Jie Fung, Ka Yee Gao, Hugh Preaudet, Adele Dagley, Laura F. Yousef, Jumana Lee, Belinda Emery-Corbin, Samantha J. Nguyen, Paul M. Larsen, Rune H. Kershaw, Nadia J. Burgess, Antony W. Gibbs, Peter Hollande, Frédéric Griffin, Michael D. W. Grimmond, Sean M. Putoczki, Tracy L. |
author_facet | Low, Ronnie Ren Jie Fung, Ka Yee Gao, Hugh Preaudet, Adele Dagley, Laura F. Yousef, Jumana Lee, Belinda Emery-Corbin, Samantha J. Nguyen, Paul M. Larsen, Rune H. Kershaw, Nadia J. Burgess, Antony W. Gibbs, Peter Hollande, Frédéric Griffin, Michael D. W. Grimmond, Sean M. Putoczki, Tracy L. |
author_sort | Low, Ronnie Ren Jie |
collection | PubMed |
description | Epithelial-mesenchymal transition (EMT) is a continuum that includes epithelial, partial EMT, and mesenchymal states, each of which is associated with cancer progression, invasive capabilities, and ultimately, metastasis. We used a lineage-traced sporadic model of pancreatic cancer to generate a murine organoid biobank from primary and secondary tumors, including sublines that underwent partial EMT and complete EMT. Using an unbiased proteomics approach, we found that organoid morphology predicts the EMT state, and the solid organoids are associated with a partial EMT signature. We also observed that exogenous TGFβ1 induces solid organoid morphology that is associated with changes in the S100 family, complete EMT, and the formation of high-grade tumors. S100A4 may be a useful biomarker for predicting EMT state, disease progression, and outcome in patients with pancreatic cancer. [Image: see text] |
format | Online Article Text |
id | pubmed-10154348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101543482023-05-04 S100 family proteins are linked to organoid morphology and EMT in pancreatic cancer Low, Ronnie Ren Jie Fung, Ka Yee Gao, Hugh Preaudet, Adele Dagley, Laura F. Yousef, Jumana Lee, Belinda Emery-Corbin, Samantha J. Nguyen, Paul M. Larsen, Rune H. Kershaw, Nadia J. Burgess, Antony W. Gibbs, Peter Hollande, Frédéric Griffin, Michael D. W. Grimmond, Sean M. Putoczki, Tracy L. Cell Death Differ Article Epithelial-mesenchymal transition (EMT) is a continuum that includes epithelial, partial EMT, and mesenchymal states, each of which is associated with cancer progression, invasive capabilities, and ultimately, metastasis. We used a lineage-traced sporadic model of pancreatic cancer to generate a murine organoid biobank from primary and secondary tumors, including sublines that underwent partial EMT and complete EMT. Using an unbiased proteomics approach, we found that organoid morphology predicts the EMT state, and the solid organoids are associated with a partial EMT signature. We also observed that exogenous TGFβ1 induces solid organoid morphology that is associated with changes in the S100 family, complete EMT, and the formation of high-grade tumors. S100A4 may be a useful biomarker for predicting EMT state, disease progression, and outcome in patients with pancreatic cancer. [Image: see text] Nature Publishing Group UK 2023-02-24 2023-05 /pmc/articles/PMC10154348/ /pubmed/36828915 http://dx.doi.org/10.1038/s41418-023-01126-z Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Low, Ronnie Ren Jie Fung, Ka Yee Gao, Hugh Preaudet, Adele Dagley, Laura F. Yousef, Jumana Lee, Belinda Emery-Corbin, Samantha J. Nguyen, Paul M. Larsen, Rune H. Kershaw, Nadia J. Burgess, Antony W. Gibbs, Peter Hollande, Frédéric Griffin, Michael D. W. Grimmond, Sean M. Putoczki, Tracy L. S100 family proteins are linked to organoid morphology and EMT in pancreatic cancer |
title | S100 family proteins are linked to organoid morphology and EMT in pancreatic cancer |
title_full | S100 family proteins are linked to organoid morphology and EMT in pancreatic cancer |
title_fullStr | S100 family proteins are linked to organoid morphology and EMT in pancreatic cancer |
title_full_unstemmed | S100 family proteins are linked to organoid morphology and EMT in pancreatic cancer |
title_short | S100 family proteins are linked to organoid morphology and EMT in pancreatic cancer |
title_sort | s100 family proteins are linked to organoid morphology and emt in pancreatic cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154348/ https://www.ncbi.nlm.nih.gov/pubmed/36828915 http://dx.doi.org/10.1038/s41418-023-01126-z |
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