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PDX-derived organoids model in vivo drug response and secrete biomarkers

Authors :
Ling Huang
Bruno Bockorny
Indranil Paul
Dipikaa Akshinthala
Pierre-Oliver Frappart
Omar Gandarilla
Arindam Bose
Veronica Sanchez-Gonzalez
Emily E. Rouse
Sylvain D. Lehoux
Nicole Pandell
Christine M. Lim
John G. Clohessy
Joseph Grossman
Raul Gonzalez
Sofia Perea Del Pino
George Daaboul
Mandeep S. Sawhney
Steven D. Freedman
Alexander Kleger
Richard D. Cummings
Andrew Emili
Lakshmi B. Muthuswamy
Manuel Hidalgo
Senthil K. Muthuswamy
Source :
JCI Insight, Vol 5, Iss 21 (2020)
Publication Year :
2020
Publisher :
American Society for Clinical investigation, 2020.

Abstract

Patient-derived organoid models are proving to be a powerful platform for both basic and translational studies. Here we conduct a methodical analysis of pancreatic ductal adenocarcinoma (PDAC) tumor organoid drug response in paired patient-derived xenograft (PDX) and PDX-derived organoid (PXO) models grown under WNT-free culture conditions. We report a specific relationship between area under the curve value of organoid drug dose response and in vivo tumor growth, irrespective of the drug treatment. In addition, we analyzed the glycome of PDX and PXO models and demonstrate that PXOs recapitulate the in vivo glycan landscape. In addition, we identify a core set of 57 N-glycans detected in all 10 models that represent 50%–94% of the relative abundance of all N-glycans detected in each of the models. Last, we developed a secreted biomarker discovery pipeline using media supernatant of organoid cultures and identified potentially new extracellular vesicle (EV) protein markers. We validated our findings using plasma samples from patients with PDAC, benign gastrointestinal diseases, and chronic pancreatitis and discovered that 4 EV proteins are potential circulating biomarkers for PDAC. Thus, we demonstrate the utility of organoid cultures to not only model in vivo drug responses but also serve as a powerful platform for discovering clinically actionable serologic biomarkers.

Subjects

Subjects :
Oncology
Medicine

Details

Language :
English
ISSN :
23793708
Volume :
5
Issue :
21
Database :
Directory of Open Access Journals
Journal :
JCI Insight
Publication Type :
Academic Journal
Accession number :
edsdoj.33f7ae51a4b3987a1856d60d1d5c9
Document Type :
article
Full Text :
https://doi.org/10.1172/jci.insight.135544