Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy / Teresa G. Krieger, Solange Le Blanc, Julia Jabs, Foo Wei Ten, Naveed Ishaque, Katharina Jechow, Olivia Debnath, Carl-Stephan Leonhardt, Anamika Giri, Roland Eils, Oliver Strobel & Christian Conrad

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..

Medienart:

E-Artikel

Erscheinungsjahr:

05 October 2021

2021

Erschienen:

05 October 2021

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Nature Communications - 12(2021), Artikel-ID 5826, Seite 1-13

Sprache:

Englisch

Beteiligte Personen:

Krieger, Teresa G. [VerfasserIn]
Le Blanc, Solange, 1982- [VerfasserIn]
Jabs, Julia [VerfasserIn]
Ten, Foo Wei [VerfasserIn]
Ishaque, Naveed [VerfasserIn]
Jechow, Katharina [VerfasserIn]
Debnath, Olivia [VerfasserIn]
Leonhardt, Carl-Stephan [VerfasserIn]
Giri, Anamika [VerfasserIn]
Eils, Roland, 1965- [VerfasserIn]
Strobel, Oliver, 1974- [VerfasserIn]
Conrad, Christian [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
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Themen:

Cancer genomics
Experimental models of disease
Pancreatic cancer
Tumour heterogeneity

Anmerkungen:

Gesehen am 23.11.2021

Umfang:

13

doi:

10.1038/s41467-021-26059-4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

1778372279