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Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy
Pancreatic ductal adenocarcinoma (PDAC) is projected to be the second leading cause of cancer mortality by 2030. Bulk transcriptomic analyses have distinguished ‘classical’ from ‘basal-like’ tumors with more aggressive clinical behavior. We derive PDAC organoids from 18 primary tumors and two matche...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492851/ https://www.ncbi.nlm.nih.gov/pubmed/34611171 http://dx.doi.org/10.1038/s41467-021-26059-4 |
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author | Krieger, Teresa G. Le Blanc, Solange Jabs, Julia Ten, Foo Wei Ishaque, Naveed Jechow, Katharina Debnath, Olivia Leonhardt, Carl-Stephan Giri, Anamika Eils, Roland Strobel, Oliver Conrad, Christian |
author_facet | Krieger, Teresa G. Le Blanc, Solange Jabs, Julia Ten, Foo Wei Ishaque, Naveed Jechow, Katharina Debnath, Olivia Leonhardt, Carl-Stephan Giri, Anamika Eils, Roland Strobel, Oliver Conrad, Christian |
author_sort | Krieger, Teresa G. |
collection | PubMed |
description | Pancreatic ductal adenocarcinoma (PDAC) is projected to be the second leading cause of cancer mortality by 2030. Bulk transcriptomic analyses have distinguished ‘classical’ from ‘basal-like’ tumors with more aggressive clinical behavior. We derive PDAC organoids from 18 primary tumors and two matched liver metastases, and show that ‘classical’ and ‘basal-like’ cells coexist in individual organoids. By single-cell transcriptome analysis of PDAC organoids and primary PDAC, we identify distinct tumor cell states shared across patients, including a cycling progenitor cell state and a differentiated secretory state. Cell states are connected by a differentiation hierarchy, with ‘classical’ cells concentrated at the endpoint. In an imaging-based drug screen, expression of ‘classical’ subtype genes correlates with better drug response. Our results thus uncover a functional hierarchy of PDAC cell states linked to transcriptional tumor subtypes, and support the use of PDAC organoids as a clinically relevant model for in vitro studies of tumor heterogeneity. |
format | Online Article Text |
id | pubmed-8492851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84928512021-10-07 Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy Krieger, Teresa G. Le Blanc, Solange Jabs, Julia Ten, Foo Wei Ishaque, Naveed Jechow, Katharina Debnath, Olivia Leonhardt, Carl-Stephan Giri, Anamika Eils, Roland Strobel, Oliver Conrad, Christian Nat Commun Article Pancreatic ductal adenocarcinoma (PDAC) is projected to be the second leading cause of cancer mortality by 2030. Bulk transcriptomic analyses have distinguished ‘classical’ from ‘basal-like’ tumors with more aggressive clinical behavior. We derive PDAC organoids from 18 primary tumors and two matched liver metastases, and show that ‘classical’ and ‘basal-like’ cells coexist in individual organoids. By single-cell transcriptome analysis of PDAC organoids and primary PDAC, we identify distinct tumor cell states shared across patients, including a cycling progenitor cell state and a differentiated secretory state. Cell states are connected by a differentiation hierarchy, with ‘classical’ cells concentrated at the endpoint. In an imaging-based drug screen, expression of ‘classical’ subtype genes correlates with better drug response. Our results thus uncover a functional hierarchy of PDAC cell states linked to transcriptional tumor subtypes, and support the use of PDAC organoids as a clinically relevant model for in vitro studies of tumor heterogeneity. Nature Publishing Group UK 2021-10-05 /pmc/articles/PMC8492851/ /pubmed/34611171 http://dx.doi.org/10.1038/s41467-021-26059-4 Text en © The Author(s) 2021 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 Krieger, Teresa G. Le Blanc, Solange Jabs, Julia Ten, Foo Wei Ishaque, Naveed Jechow, Katharina Debnath, Olivia Leonhardt, Carl-Stephan Giri, Anamika Eils, Roland Strobel, Oliver Conrad, Christian Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy |
title | Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy |
title_full | Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy |
title_fullStr | Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy |
title_full_unstemmed | Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy |
title_short | Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy |
title_sort | single-cell analysis of patient-derived pdac organoids reveals cell state heterogeneity and a conserved developmental hierarchy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492851/ https://www.ncbi.nlm.nih.gov/pubmed/34611171 http://dx.doi.org/10.1038/s41467-021-26059-4 |
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