268. DEVELOPMENT OF A NOVEL ESOPHAGUS-ON-A-CHIP MODEL: A HIGH-FIDELITY PLATFORM FOR DIRECTING PERSONALIZED THERAPY IN ESOPHAGEAL ADENOCARCINOMA
Bibliographic record
Abstract
Abstract Background 80% of patients diagnosed with esophageal adenocarcinoma (EAC) die of disease. Current standard of care for EAC is systemic cytotoxic, platinum-based neoadjuvant chemotherapy followed by resection and additional rounds of chemotherapy. Locally advanced, resectable patients often fail to respond due to intrinsic and/or acquired chemoresistance. Traditional preclinical models fail to offer alternative salvage options. To our knowledge, this is the first high-fidelity dynamic 3D platform implemented to study esophageal function, pathophysiology, and drug effects. Methods Primary tissues obtained from EAC patients at diagnostic biopsy were propagated into patient-derived organoids (PDOs). The upper (mucosal) channel of the esophagus-chip was designated for PDO-derived epithelial cells, while the lower stromal channel was designated for matched fibroblasts. Autologous cell types were exposed to a physiologically relevant flow of nutrient media and microtissues were formed. Epithelial permeability was determined by cascade blue assay. Using this model, a clinically relevant chemotherapy protocol was administered to study patient-specific tumor response. To determine microtissue development and cellular fate in response to chemotherapy, level of several epithelial/mesenchymal biomarkers were evaluated. Results Study cohort consisted of both chemo-sensitive and -resistant EAC patients. Esophagus-chip models were developed with samples from patient-matched tumor and normal tissue. Chips recapitulated morphological and histological features of their parental tissues. Epithelial barrier integrity was established within 5 days on-chip. Scanning electron microscopy revealed the presence of pleomorphic cells and mature microvilli in EAC-chips. In vitro administration of docetaxel triplet chemotherapy demonstrated efficacy similar to that observed in the clinical setting when assessed directly or indirectly. Confocal imaging revealed treatment-associated differential expression of epithelial (CK7, CK19), and mesenchymal (vimentin) markers. Conclusion 3D-organoids conserve cellular heterogeneity of source patients, whereas esophagus-on-chip expand on this diversity by adding microphysiological relevance, stromal influence & flexible complexity. This high-fidelity biomimetic platform enables clinical mimicry and can predict patient-specific chemosensitivity within a clinically relevant timeframe. This esophagus-chip system is a promising potential replacement for both inefficient preclinical animal models and existing tumor-only avatars lacking stromal and microphysiological context.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".