Advances in molecular carcinogenesis: current and future use of mouse models to screen and validate molecularly

Anita F W Frijhoff1, Claudio J Conti, Adrian M Senderowicz

  • 1The University of Texas M. D. Anderson Cancer Center, Science Park-Research Division, Smithville, Texas, USA.

Insights

Improving advanced solid tumor survival requires better cancer models. Genetically engineered mouse models offer a promising preclinical approach for screening targeted anticancer drugs, potentially bridging the gap to patient benefit.

Area of Science:

  • Oncology
  • Translational Medicine
  • Preclinical Research

Background:

  • Survival rates for advanced solid tumors have stagnated for three decades.
  • Limited success of molecularly targeted anticancer drugs in clinical trials.
  • Need for improved preclinical models that better mimic human cancer development.

Purpose of the Study:

  • To evaluate the utility of various mouse models for human cancer research.
  • To discuss the advantages and disadvantages of genetically engineered mouse models (GEMMs).
  • To assess the application of GEMMs in screening targeted anticancer therapies.

Main Methods:

  • Review and comparison of different mouse models of human carcinogenesis.
  • Analysis of genetically engineered mice representing diverse aspects of human cancer.
  • Evaluation of drug screening methodologies using these preclinical models.

Main Results:

  • Genetically engineered mouse models (GEMMs) offer a closer resemblance to human cancer.
  • GEMMs can recapitulate specific genetic alterations and pathological features of human tumors.
  • These models facilitate the evaluation of targeted therapies in a more relevant context.

Conclusions:

  • Mouse models, particularly GEMMs, are crucial for advancing cancer drug development.
  • Improved preclinical models can enhance the translation of targeted therapies to clinical success.
  • Further development and utilization of GEMMs are essential for improving patient survival in advanced solid tumors.

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