Deploying mouse models of pancreatic cancer for chemoprevention studies

Paul J Grippo1, David A Tuveson

  • 1Robert H Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, 303 East Superior Street, Chicago, IL 60611, USA. p-grippo@northwestern.edu

Insights

New mouse models for pancreatic cancer are available to test treatments. Selecting the right model is crucial for developing effective pancreatic ductal adenocarcinoma (PDAC) chemoprevention strategies.

Area of Science:

  • Oncology
  • Cancer Research
  • Translational Medicine

Background:

  • Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer.
  • Developing effective chemopreventive and anticancer regimens for PDAC is a research priority.
  • Mouse models are crucial for studying PDAC development and testing interventions.

Purpose of the Study:

  • To highlight the availability and utility of diverse mouse models for pancreatic cancer research.
  • To guide researchers in selecting appropriate models for evaluating chemopreventive and anticancer strategies.
  • To facilitate the translation of research findings into clinical relevance for PDAC.

Main Methods:

  • Utilizing over a dozen available mouse models that mimic human pancreatic neoplasia.
  • Characterizing models based on lesion morphology (homogeneous vs. heterogeneous) and molecular features.
  • Evaluating models for their suitability in preclinical studies of chemoprevention and anticancer treatments.

Main Results:

  • A range of mouse models exist, from those with homogeneous preneoplastic lesions similar to human pancreatic intraepithelial neoplasms to heterogeneous lesions.
  • Molecular characteristics of these models vary, mirroring differences in lesion morphology.
  • Model selection requires careful consideration of specific research objectives.

Conclusions:

  • The availability of diverse mouse models significantly advances pancreatic cancer research.
  • Strategic selection of mouse models is essential for generating clinically relevant findings in PDAC.
  • These models provide a platform for rigorous evaluation of novel chemopreventive and anticancer agents.