Bioengineered 3D models of human pancreatic cancer recapitulate in vivo tumour biology

David Osuna de la Peña; Sara Maria David Trabulo; Estelle Collin; Ying Liu; Shreya Sharma; Marianthi Tatari; Diana Behrens; Mert Erkan; Rita T. Lawlor; Aldo Scarpa; Christopher Heeschen; Alvaro Mata; Daniela Loessner

doi:10.1038/s41467-021-25921-9

Nature Communications (Sep 2021)

Bioengineered 3D models of human pancreatic cancer recapitulate in vivo tumour biology

David Osuna de la Peña,
Sara Maria David Trabulo,
Estelle Collin,
Ying Liu,
Shreya Sharma,
Marianthi Tatari,
Diana Behrens,
Mert Erkan,
Rita T. Lawlor,
Aldo Scarpa,
Christopher Heeschen,
Alvaro Mata,
Daniela Loessner

Affiliations

David Osuna de la Peña: Barts Cancer Institute, Queen Mary University of London
Sara Maria David Trabulo: Barts Cancer Institute, Queen Mary University of London
Estelle Collin: Institute of Bioengineering, Queen Mary University of London
Ying Liu: Barts Cancer Institute, Queen Mary University of London
Shreya Sharma: Barts Cancer Institute, Queen Mary University of London
Marianthi Tatari: Barts Cancer Institute, Queen Mary University of London
Diana Behrens: EPO – Experimental Pharmacology and Oncology GmbH
Mert Erkan: Department of Surgery, Koç University School of Medicine
Rita T. Lawlor: Department of Diagnostics and Public Health, Section of Pathology, University of Verona
Aldo Scarpa: Department of Diagnostics and Public Health, Section of Pathology, University of Verona
Christopher Heeschen: Center for Single-Cell Omics, Shanghai Jiao Tong University School of Medicine
Alvaro Mata: Institute of Bioengineering, Queen Mary University of London
Daniela Loessner: Barts Cancer Institute, Queen Mary University of London

DOI: https://doi.org/10.1038/s41467-021-25921-9
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 15

Abstract

Read online

Personalized cancer medicine currently lacks custom platforms that mimic the microenvironment of human tissues. Here, the authors show how self-assembled patient-derived models of pancreatic cancer recapitulate key biological features of the original tumours such as matrix composition and stemness.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal