Related Experiment Video
Updated: Nov 14, 2025

Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
Published on: August 11, 2017
Genetic Determinants of EGFR-Driven Lung Cancer Growth and Therapeutic Response In Vivo
Giorgia Foggetti1, Chuan Li2, Hongchen Cai3
1Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut.
Abstract:
In lung adenocarcinoma, oncogenic EGFR mutations co-occur with many tumor suppressor gene alterations; however, the extent to which these contribute to tumor growth and response to therapy in vivo remains largely unknown. By quantifying the effects of inactivating 10 putative tumor suppressor genes in a mouse model of EGFR-driven Trp53-deficient lung adenocarcinoma, we found that Apc, Rb1, or Rbm10 inactivation strongly promoted tumor growth. Unexpectedly, inactivation of Lkb1 or Setd2-the strongest drivers of growth in a KRAS-driven model-reduced EGFR-driven tumor growth. These results are consistent with mutational frequencies in human EGFR- and KRAS-driven lung adenocarcinomas. Furthermore, KEAP1 inactivation reduced the sensitivity of EGFR-driven tumors to the EGFR inhibitor osimertinib, and mutations in genes in the KEAP1 pathway were associated with decreased time on tyrosine kinase inhibitor treatment in patients. Our study highlights how the impact of genetic alterations differs across oncogenic contexts and that the fitness landscape shifts upon treatment. SIGNIFICANCE: By modeling complex genotypes in vivo, this study reveals key tumor suppressors that constrain the growth of EGFR-mutant tumors. Furthermore, we uncovered that KEAP1 inactivation reduces the sensitivity of these tumors to tyrosine kinase inhibitors. Thus, our approach identifies genotypes of biological and therapeutic importance in this disease.This article is highlighted in the In This Issue feature, p. 1601.
Insights
In lung adenocarcinoma, inactivating tumor suppressor genes like Apc, Rb1, or Rbm10 promotes EGFR-driven tumor growth. KEAP1 inactivation reduces sensitivity to osimertinib, impacting tyrosine kinase inhibitor treatment effectiveness.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Oncogenic EGFR mutations are common in lung adenocarcinoma and often coexist with tumor suppressor gene alterations.
- The specific roles of these co-occurring genetic alterations in tumor progression and therapeutic response in vivo are not well understood.
Purpose of the Study:
- To investigate the in vivo effects of inactivating specific tumor suppressor genes on EGFR-driven lung adenocarcinoma growth.
- To determine how these genetic alterations influence response to EGFR-targeted therapy.
Main Methods:
- Utilized a mouse model of EGFR-driven, Trp53-deficient lung adenocarcinoma.
- Quantified the impact of inactivating 10 putative tumor suppressor genes on tumor growth.
- Assessed the effect of KEAP1 inactivation on tumor sensitivity to osimertinib.
Main Results:
- Inactivation of Apc, Rb1, or Rbm10 significantly promoted tumor growth in the EGFR-driven model.
- Unexpectedly, Lkb1 or Setd2 inactivation reduced EGFR-driven tumor growth, contrasting their effects in KRAS-driven models.
- KEAP1 inactivation diminished sensitivity to osimertinib, and KEAP1 pathway mutations correlated with shorter tyrosine kinase inhibitor treatment duration in patients.
Conclusions:
- The impact of genetic alterations on tumor growth and therapy response is context-dependent, varying between oncogenic drivers (EGFR vs. KRAS).
- Specific tumor suppressor genes, such as Apc, Rb1, and Rbm10, act as critical constraints on EGFR-mutant lung adenocarcinoma growth.
- KEAP1 inactivation represents a mechanism of resistance to EGFR inhibitors like osimertinib, highlighting its therapeutic relevance.
More Related Videos
09:38Establishment and Characterization of Three Afatinib-resistant Lung Adenocarcinoma PC-9 Cell Lines Developed with Increasing Doses of Afatinib
Published on: June 26, 2019
13:34A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
Related Concept Videos
Mitogens and the Cell Cycle
mTOR Signaling and Cancer Progression
The mTOR pathway or the...
Targeted Cancer Therapies
There are several types of targeted therapies against...