Genetically-engineered mouse models of small cell lung cancer: the next generation

Matthew G Oser1,2, David MacPherson3, Trudy G Oliver4

  • 1Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02215, USA. matthew_oser@dfci.harvard.edu.

Oncogene
|January 8, 2024
PubMed

Insights

New mouse models accelerate research for small cell lung cancer (SCLC), a fatal disease. These models aid in understanding SCLC and developing effective new therapies.

Area of Science:

  • Oncology
  • Genetics
  • Immunology

Background:

  • Small cell lung cancer (SCLC) is a highly fatal lung cancer subtype with limited therapeutic options.
  • Genetic inactivation of RB1 and TP53 tumor suppressor genes is a hallmark of human SCLC.
  • Genetically-engineered mouse models (GEMMs) are crucial for studying SCLC pathogenesis and therapeutic development.

Purpose of the Study:

  • To summarize the contributions of GEMMs to SCLC research over the past two decades.
  • To review recent advancements in SCLC modeling, including CRISPR/Cas9 and allograft models.
  • To highlight how new models facilitate the study of SCLC tumorigenesis and immune microenvironment interactions.

Main Methods:

  • Development and utilization of genetically-engineered mouse models (GEMMs) with specific genetic alterations.
  • Application of CRISPR/Cas9-mediated somatic gene editing for functional interrogation of genes in SCLC.
  • Creation of allograft and precancerous precursor models from SCLC GEMMs.

Main Results:

  • GEMMs have significantly advanced the understanding of SCLC biology and pathogenesis.
  • CRISPR/Cas9 enables rapid functional analysis of novel genes in SCLC development.
  • Allograft and precursor models offer complementary approaches to study tumor-immune interactions.

Conclusions:

  • The evolution of SCLC models, particularly GEMMs and newer techniques, is critical for advancing SCLC research.
  • Newer models overcome limitations of earlier GEMMs, enabling investigation of a broader range of genes.
  • These innovative models are essential for discovering and testing novel therapeutic strategies to improve outcomes for SCLC patients.