SEMMs: Somatically Engineered Mouse Models. A New Tool for In Vivo Disease Modeling for Basic and Translational

Anthony Lima1, Danilo Maddalo1,2

  • 1Department of Translational Oncology, Genentech, Inc., South San Francisco, CA, United States.

Insights

New Somatically Engineered Mouse Models (SEMMs) overcome limitations of traditional preclinical cancer research. These models, created using CRISPR/Cas9, offer a more accurate platform for drug screening and in vivo functional genomics studies.

Area of Science:

  • Oncology
  • Genetics
  • Translational Medicine

Background:

  • Most experimental cancer therapies fail in clinical trials due to inadequate preclinical models.
  • Current xenograft models lack patient heterogeneity and immune systems, limiting translatability.
  • Genetically Engineered Mouse Models (GEMMs) are costly and complex, hindering broad application.

Purpose of the Study:

  • To review the limitations of current preclinical cancer models.
  • To introduce Somatically Engineered Mouse Models (SEMMs) as an advancement.
  • To highlight SEMMs as a platform for in vivo functional genomics (DIVoS).

Main Methods:

  • Utilizing CRISPR/Cas9 genome editing technology.
  • Introducing specific oncogenic signatures directly into somatic cells of target organs in post-natal animals.
  • Bypassing the need for costly conventional genetically engineered mouse model strains.

Main Results:

  • SEMMs provide a more accurate recapitulation of human disease heterogeneity and response.
  • SEMMs enable direct in vivo functional genomics studies (DIVoS).
  • SEMMs offer a cost-effective and efficient alternative to traditional GEMMs.

Conclusions:

  • SEMMs represent a novel and powerful category of preclinical cancer models.
  • SEMMs enhance the translatability of preclinical findings to clinical settings.
  • SEMMs facilitate efficient in vivo drug screening and functional genomics research.