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Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development
With a five-year survival rate of 9%, pancreatic ductal adenocarcinoma (PDAC) is the deadliest of all cancers. The rapid mortality makes PDAC difficult to research, and inspires a resolve to create reliable, tractable cellular models for preclinical cancer research. Organoids are increasingly used t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026166/ https://www.ncbi.nlm.nih.gov/pubmed/32066753 http://dx.doi.org/10.1038/s41598-020-59368-7 |
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author | Nelson, Shannon R. Zhang, Chenxi Roche, Sandra O’Neill, Fiona Swan, Niall Luo, Yonglun Larkin, AnneMarie Crown, John Walsh, Naomi |
author_facet | Nelson, Shannon R. Zhang, Chenxi Roche, Sandra O’Neill, Fiona Swan, Niall Luo, Yonglun Larkin, AnneMarie Crown, John Walsh, Naomi |
author_sort | Nelson, Shannon R. |
collection | PubMed |
description | With a five-year survival rate of 9%, pancreatic ductal adenocarcinoma (PDAC) is the deadliest of all cancers. The rapid mortality makes PDAC difficult to research, and inspires a resolve to create reliable, tractable cellular models for preclinical cancer research. Organoids are increasingly used to model PDAC as they maintain the differentiation status, molecular and genomic signatures of the original tumour. In this paper, we present novel methodologies and experimental approaches to develop PDAC organoids from PDX tumours, and the simultaneous development of matched primary cell lines. Moreover, we also present a method of recapitulating primary cell line cultures to organoids (CLOs). We highlight the usefulness of CLOs as PDAC organoid models, as they maintain similar transcriptomic signatures as their matched patient-derived organoids and patient derived xenografts (PDX)s. These models provide a manageable, expandable in vitro resource for downstream applications such as high throughput screening, functional genomics, and tumour microenvironment studies. |
format | Online Article Text |
id | pubmed-7026166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70261662020-02-26 Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development Nelson, Shannon R. Zhang, Chenxi Roche, Sandra O’Neill, Fiona Swan, Niall Luo, Yonglun Larkin, AnneMarie Crown, John Walsh, Naomi Sci Rep Article With a five-year survival rate of 9%, pancreatic ductal adenocarcinoma (PDAC) is the deadliest of all cancers. The rapid mortality makes PDAC difficult to research, and inspires a resolve to create reliable, tractable cellular models for preclinical cancer research. Organoids are increasingly used to model PDAC as they maintain the differentiation status, molecular and genomic signatures of the original tumour. In this paper, we present novel methodologies and experimental approaches to develop PDAC organoids from PDX tumours, and the simultaneous development of matched primary cell lines. Moreover, we also present a method of recapitulating primary cell line cultures to organoids (CLOs). We highlight the usefulness of CLOs as PDAC organoid models, as they maintain similar transcriptomic signatures as their matched patient-derived organoids and patient derived xenografts (PDX)s. These models provide a manageable, expandable in vitro resource for downstream applications such as high throughput screening, functional genomics, and tumour microenvironment studies. Nature Publishing Group UK 2020-02-17 /pmc/articles/PMC7026166/ /pubmed/32066753 http://dx.doi.org/10.1038/s41598-020-59368-7 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Nelson, Shannon R. Zhang, Chenxi Roche, Sandra O’Neill, Fiona Swan, Niall Luo, Yonglun Larkin, AnneMarie Crown, John Walsh, Naomi Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development |
title | Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development |
title_full | Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development |
title_fullStr | Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development |
title_full_unstemmed | Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development |
title_short | Modelling of pancreatic cancer biology: transcriptomic signature for 3D PDX-derived organoids and primary cell line organoid development |
title_sort | modelling of pancreatic cancer biology: transcriptomic signature for 3d pdx-derived organoids and primary cell line organoid development |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026166/ https://www.ncbi.nlm.nih.gov/pubmed/32066753 http://dx.doi.org/10.1038/s41598-020-59368-7 |
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