Related Experiment Video
Updated: Sep 15, 2026
Subculture and Cryopreservation of Esophageal Adenocarcinoma Organoids: Pros and Cons for Single Cell Digestion
Published on: July 6, 2022
Patient-derived esophageal adenocarcinoma organ chip: a physiologically relevant platform for functional precision
Sanjima Pal1, Elee Shimshoni2, Salvador Flores Torres3
1Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Background:
Esophageal adenocarcinoma (EAC) is the sixth most deadly cancer worldwide, with increasing incidence in North America. As no targeted therapy or immunotherapy has revolutionized the management of EAC, chemotherapy is the only standard of care. Most patients with EAC experience poor outcomes because of the inherent or acquired resistance to chemotherapy.
Methods:
Adapting a patient-centered approach, we leveraged a microfluidic cell culture technology platform (Emulate), organoids derived from treatment-naive patient tumors or adjacent normal tissues, and patient-matched cancer-associated or normal fibroblasts respectively, to develop a novel, physiologically relevant, high-fidelity preclinical esophagus-on-a-chip model. H&E, immunofluorescence staining, live/dead assay, LDH assay, and ELISA-based detection of tumor biomarkers were used to assess treatment responses.
Results:
Each patient-specific stroma-inclusive microfluidic esophageal adenocarcinoma on-a-chip (EAC chip) faithfully recreates the tumor-stroma interface while preserving the full diversity of two cell types (epithelia and fibroblasts), genetic landscapes and histological architecture of the source tumors. EAC chips also accurately predict the response to neoadjuvant chemotherapy (NACT) within a clinically useful timeframe (approx. 12 days). A docetaxel-based triplet chemotherapy regimen matched with the treatment of the source patient was successfully perfused through the interstitial space within this model. Therefore, EAC chips more accurately recapitulate inpatient pathological and objective responses than the corresponding static 3D-organoid-only cultures.
Conclusions:
Overall, this model is an effective tool for predicting patients' responses to chemotherapy and testing tumor- or stroma-targeted alternative therapies. Moreover, these high-fidelity, low-throughput EAC chips effectively complement high-throughput PDO culture-based drug testing and provide improved insights into drug efficacy before human studies.
