Modeling K-Ras-driven lung adenocarcinoma in mice: preclinical validation of therapeutic targets

Matthias Drosten1, Mariano Barbacid2

  • 1Molecular Oncology Programme, Centro Nacional de Investigaciones Oncológicas (CNIO), Melchor Fernández Almagro 3, 28029, Madrid, Spain. mdrosten@cnio.es.

Journal of Molecular Medicine (Berlin, Germany)
|November 4, 2015
PubMed

Insights

Targeting KRAS mutations in lung cancer remains challenging. Genetically engineered mouse models are crucial preclinical tools for validating KRAS signaling effectors and synthetic lethality targets for improved lung adenocarcinoma treatments.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Lung cancer is a leading cause of cancer mortality globally, with lung adenocarcinoma being the most common subtype.
  • Activating KRAS mutations occur in approximately 25% of lung adenocarcinoma cases, presenting a significant therapeutic challenge due to difficulties in directly targeting the KRAS oncoprotein.

Purpose of the Study:

  • To review preclinical studies utilizing genetically engineered mouse models for validating KRAS signaling effectors and synthetic lethality targets in lung cancer.
  • To discuss the clinical relevance of these validated targets and suggest improvements for preclinical target validation.

Main Methods:

  • Review of studies employing genetically engineered mouse models (GEMMs) that recapitulate human lung adenocarcinoma.
  • Analysis of preclinical validation of KRAS signaling downstream effectors and synthetic lethality targets within these GEMMs.

Main Results:

  • GEMMs have proven effective in validating key downstream effectors of KRAS signaling.
  • These models have also facilitated the validation of targets exhibiting synthetic lethality with KRAS, offering potential therapeutic avenues.

Conclusions:

  • Genetically engineered mouse models are valuable preclinical platforms for identifying and validating therapeutic targets for KRAS-mutated lung cancer.
  • Further refinement of preclinical target validation strategies is needed to enhance the clinical translation of findings for lung adenocarcinoma patients.