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High yield reproducible rat model recapitulating human Barrett's carcinogenesis
Daisuke Matsui1, Ashten N Omstead1, Juliann E Kosovec1
1Esophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States.
World Journal of Gastroenterology
|October 4, 2017
Summary
A modified rat surgery successfully models esophageal adenocarcinoma (EAC) development, showing high tumor burden and metastasis. This model aids EAC research and therapeutic development.
Area of Science:
- Gastroenterology and Oncology
- Surgical Pathology
- Molecular Biology
Background:
- Human esophageal adenocarcinoma (EAC) is a significant health concern.
- Current models for studying EAC pathogenesis and progression have limitations.
- Efficient and reliable animal models are crucial for advancing EAC research.
Purpose of the Study:
- To establish and validate a modified Levrat model of end-to-side esophagojejunostomy in rats for EAC replication.
- To investigate the biological and pathological progression of EAC in this model.
- To analyze key gene expression changes during EAC development.
Main Methods:
- End-to-side esophagojejunostomy was performed on rats to induce gastroduodenoesophageal reflux.
- Animals were euthanized serially to collect esophageal tissues for histopathology and gene expression analysis.
- Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to assess the expression of MUC2, CK19, and CK20.
Main Results:
- The surgical model demonstrated a high EAC tumor burden (100% by 40 weeks) with observed metastasis.
- Histopathology revealed a progression from esophagitis to Barrett's esophagus (BE), then to dysplasia and EAC.
- Gene expression analysis showed downregulation of MUC2 and stepwise upregulation of CK19 and CK20 from BE to EAC.
Conclusions:
- The modified Levrat model provides an efficient method for replicating EAC in rats with low mortality.
- This model facilitates the study of EAC development, progression, and potential therapeutic strategies.
- The observed gene expression patterns correlate with EAC progression, offering molecular insights.

