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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
In-vitro Mutagenesis01:16

In-vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.

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Related Experiment Video

Updated: May 22, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Genetically engineered mouse models: closing the gap between preclinical data and trial outcomes.

Mallika Singh1, Christopher L Murriel, Leisa Johnson

  • 1Genentech, Inc., South San Francisco, California 94080, USA. msingh@gene.com

Cancer Research
|May 18, 2012
PubMed
Summary

Genetically engineered mouse models (GEMM) closely mimic human cancer progression and therapeutic responses. These models offer improved translation of preclinical data for better clinical predictions in oncology.

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Last Updated: May 22, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Somatic Genome-Engineered Mouse Models Using In Vivo Microinjection and Electroporation
08:06

Somatic Genome-Engineered Mouse Models Using In Vivo Microinjection and Electroporation

Published on: May 5, 2023

Area of Science:

  • Oncology
  • Translational Research
  • Preclinical Models

Background:

  • High failure rates in late-stage human clinical trials, especially in oncology, necessitate better preclinical models.
  • Current mouse models often fail to accurately predict human therapeutic responses.
  • Genetically engineered mouse models (GEMM) spontaneously develop tumors, mimicking human disease progression.

Purpose of the Study:

  • To review the application of GEMMs for improving the translation of preclinical data into clinical predictions.
  • To highlight the potential of GEMMs in discovering predictive biomarkers for cancer treatment.
  • To explore how GEMMs can provide mechanistic insights into clinical outcomes and drug resistance.

Main Methods:

  • Utilizing oncogenic Kras-driven GEMMs of lung and pancreatic adenocarcinoma.
  • Phenocopying human therapeutic responses to standard-of-care treatments in GEMMs.
  • Reviewing the successful preclinical applications of GEMMs in cancer research.

Main Results:

  • GEMMs closely phenocopy human therapeutic responses to standard treatments.
  • GEMMs demonstrate potential for predicting clinical outcomes.
  • GEMMs facilitate the discovery of predictive biomarkers and mechanistic insights.

Conclusions:

  • GEMMs are valuable tools for improving preclinical to clinical translation in oncology.
  • GEMMs can enhance the discovery of biomarkers and understanding of drug resistance.
  • The application of GEMMs can lead to more successful cancer therapies.