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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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