Generation of Genetically Engineered Mouse Lung Organoid Models for Squamous Cell Lung Cancers Allows for the Study

Josephine Hai1, Hua Zhang2,3, Jin Zhou2

  • 1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. kwok-kin.wong@nyumc.org Adam_Bass@dfci.harvard.edu josephine.hai@mail.utoronto.ca.

Abstract

Insights

Developing new lung squamous cell carcinoma (LSCC) mouse models using CRISPR gene editing, this study shows WEE1 inhibition combined with PD-1 blockade enhances anti-tumor immunity and improves treatment efficacy in LSCC.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Lung squamous cell carcinoma (LSCC) presents a significant clinical challenge, with limited response rates to immune checkpoint blockade (ICB) therapy.
  • The development of accurate preclinical models that mirror human LSCC's genetic complexity is crucial for advancing treatment strategies.

Purpose of the Study:

  • To establish a genetically precise mouse model for LSCC using CRISPR genome editing.
  • To investigate the therapeutic and immunologic effects of combining WEE1 inhibition with PD-1 blockade in LSCC.

Main Methods:

  • CRISPR-Cas9 genome editing was employed to delete tumor suppressors in mouse lung organoids.
  • The efficacy of combination therapy (PD-1 blockade and WEE1 inhibition) was evaluated in genetically engineered mouse models and patient-derived LSCC cell lines.

Main Results:

  • Multiplex gene editing efficiently generated LSCC models that recapitulate human disease genomics and phenotypes.
  • WEE1 inhibition induced DNA damage, enhancing type I IFN signaling and antigen presentation in LSCC cells.
  • Combination therapy promoted cytotoxic T-cell activity, reduced tumor-infiltrating neutrophils, and improved anti-tumor immune responses.

Conclusions:

  • A novel LSCC mouse model was developed, facilitating the study of novel therapeutic combinations.
  • Combining ICB with DNA damage-inducing agents like WEE1 inhibitors presents a promising clinical strategy for LSCC treatment.