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.
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
Usage data is cumulative from February 2024 through February 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 1,129 | 816 |
156 | 232 | |
Figure | 260 | 28 |
Table | 23 | 0 |
Supplemental data | 46 | 28 |
Citation downloads | 63 | 0 |
Totals | 1,677 | 1,104 |
Total Views | 2,781 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.