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Modelling metastatic colonization of cholangiocarcinoma organoids in decellularized lung and lymph nodes

van Tienderen, Gilles S ; van Beek, Marije E A ; Schurink, Ivo J ; Rosmark, Oskar LU orcid ; Roest, Henk P ; Tieleman, Jantine ; Demmers, Jeroen ; Muntz, Iain ; Conboy, James and Westergren-Thorsson, Gunilla LU , et al. (2022) In Frontiers in Oncology 12. p.1-18
Abstract

Cholangiocarcinoma (CCA) is a type of liver cancer with an aggressive phenotype and dismal outcome in patients. The metastasis of CCA cancer cells to distant organs, commonly lung and lymph nodes, drastically reduces overall survival. However, mechanistic insight how CCA invades these metastatic sites is still lacking. This is partly because currently available models fail to mimic the complexity of tissue-specific environments for metastatic CCA. To create an
in vitro model in which interactions between epithelial tumor cells and their surrounding extracellular matrix (ECM) can be studied in a metastatic setting, we combined patient-derived CCA organoids (CCAOs) (n=3) with decellularized human lung (n=3) and decellularized human... (More)

Cholangiocarcinoma (CCA) is a type of liver cancer with an aggressive phenotype and dismal outcome in patients. The metastasis of CCA cancer cells to distant organs, commonly lung and lymph nodes, drastically reduces overall survival. However, mechanistic insight how CCA invades these metastatic sites is still lacking. This is partly because currently available models fail to mimic the complexity of tissue-specific environments for metastatic CCA. To create an
in vitro model in which interactions between epithelial tumor cells and their surrounding extracellular matrix (ECM) can be studied in a metastatic setting, we combined patient-derived CCA organoids (CCAOs) (n=3) with decellularized human lung (n=3) and decellularized human lymph node (n=13). Decellularization resulted in removal of cells while preserving ECM structure and retaining important characteristics of the tissue origin. Proteomic analyses showed a tissue-specific ECM protein signature reflecting tissue functioning aspects. The macro and micro-scale mechanical properties, as determined by rheology and micro-indentation, revealed the local heterogeneity of the ECM. When growing CCAOs in decellularized lung and lymph nodes genes related to metastatic processes, including epithelial-to-mesenchymal transition and cancer stem cell plasticity, were significantly influenced by the ECM in an organ-specific manner. Furthermore, CCAOs exhibit significant differences in migration and proliferation dynamics dependent on the original patient tumor and donor of the target organ. In conclusion, CCA metastatic outgrowth is dictated both by the tumor itself as well as by the ECM of the target organ. Convergence of CCAOs with the ECM of its metastatic organs provide a new platform for mechanistic study of cancer metastasis.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Frontiers in Oncology
volume
12
article number
1101901
pages
1 - 18
publisher
Frontiers Media S. A.
external identifiers
  • scopus:85147231108
  • pmid:36741736
ISSN
2234-943X
DOI
10.3389/fonc.2022.1101901
language
English
LU publication?
yes
additional info
Copyright © 2023 van Tienderen, van Beek, Schurink, Rosmark, Roest, Tieleman, Demmers, Muntz, Conboy, Westergren-Thorsson, Koenderink, van der Laan and Verstegen.
id
31625a3c-4d37-4760-b03f-8cc1b2092ee4
date added to LUP
2023-02-09 21:46:50
date last changed
2024-04-17 12:47:08
@article{31625a3c-4d37-4760-b03f-8cc1b2092ee4,
  abstract     = {{<p>Cholangiocarcinoma (CCA) is a type of liver cancer with an aggressive phenotype and dismal outcome in patients. The metastasis of CCA cancer cells to distant organs, commonly lung and lymph nodes, drastically reduces overall survival. However, mechanistic insight how CCA invades these metastatic sites is still lacking. This is partly because currently available models fail to mimic the complexity of tissue-specific environments for metastatic CCA. To create an<br>
 in vitro model in which interactions between epithelial tumor cells and their surrounding extracellular matrix (ECM) can be studied in a metastatic setting, we combined patient-derived CCA organoids (CCAOs) (n=3) with decellularized human lung (n=3) and decellularized human lymph node (n=13). Decellularization resulted in removal of cells while preserving ECM structure and retaining important characteristics of the tissue origin. Proteomic analyses showed a tissue-specific ECM protein signature reflecting tissue functioning aspects. The macro and micro-scale mechanical properties, as determined by rheology and micro-indentation, revealed the local heterogeneity of the ECM. When growing CCAOs in decellularized lung and lymph nodes genes related to metastatic processes, including epithelial-to-mesenchymal transition and cancer stem cell plasticity, were significantly influenced by the ECM in an organ-specific manner. Furthermore, CCAOs exhibit significant differences in migration and proliferation dynamics dependent on the original patient tumor and donor of the target organ. In conclusion, CCA metastatic outgrowth is dictated both by the tumor itself as well as by the ECM of the target organ. Convergence of CCAOs with the ECM of its metastatic organs provide a new platform for mechanistic study of cancer metastasis.<br>
 </p>}},
  author       = {{van Tienderen, Gilles S and van Beek, Marije E A and Schurink, Ivo J and Rosmark, Oskar and Roest, Henk P and Tieleman, Jantine and Demmers, Jeroen and Muntz, Iain and Conboy, James and Westergren-Thorsson, Gunilla and Koenderink, Gijsje and van der Laan, Luc Jw and Verstegen, Monique M A}},
  issn         = {{2234-943X}},
  language     = {{eng}},
  pages        = {{1--18}},
  publisher    = {{Frontiers Media S. A.}},
  series       = {{Frontiers in Oncology}},
  title        = {{Modelling metastatic colonization of cholangiocarcinoma organoids in decellularized lung and lymph nodes}},
  url          = {{http://dx.doi.org/10.3389/fonc.2022.1101901}},
  doi          = {{10.3389/fonc.2022.1101901}},
  volume       = {{12}},
  year         = {{2022}},
}