Hydrogel-Embedded Precision-Cut Lung Slices Model Lung Cancer Premalignancy Ex Vivo

Area of Science:

• Biomedical Engineering
• Cancer Research
• Pulmonology

Background:

• Lung cancer remains a leading cause of cancer mortality globally.
• Existing research models, like rodent studies, present significant limitations in time, cost, and scale.
• A substantial portion of lung cancer diagnoses occur in former smokers, highlighting the need for better prevention and treatment research.

Purpose of the Study:

• To develop an advanced in vitro model for studying lung cancer premalignancy and chemoprevention.
• To create a more efficient and relevant alternative to traditional animal models for lung cancer research.

Main Methods:

• Precision-cut lung slices (PCLS) were embedded in a specialized hydrogel designed to support tissue viability and promote early cancer phenotypes.
• The hydrogel-embedded PCLS were exposed to vinyl carbamate, a carcinogen found in cigarette smoke, to induce premalignant changes.
• The model was assessed using analyses of proliferation, gene expression, histology, tissue stiffness, and cellular content over six weeks.
• Murine PCLS results were validated using human PCLS to confirm the model's applicability to human lung tissue.

Main Results:

• Vinyl carbamate successfully induced premalignant lesions in the hydrogel-embedded PCLS, exhibiting a mixed adenoma/squamous phenotype.
• The engineered hydrogel extended PCLS viability for up to six weeks, allowing for extended study periods.
• Chemoprevention agents demonstrated efficacy by diffusing through the hydrogel and inducing measurable tissue-level changes.
• Validation with human PCLS confirmed increased proliferation and gene expression patterns indicative of premalignant lesions.

Conclusions:

• The developed tissue-engineered model provides a robust platform for investigating the early stages of lung cancer (carcinogenesis).
• This ex vivo model facilitates the screening and evaluation of potential chemoprevention agents.
• The model's success with both murine and human lung tissue paves the way for more sophisticated and predictive lung cancer research.