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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
The Occupational and Environmental Respiratory Exposome as a Potential Modulator of Adaptive Resistance to EGFR and
Irina Luciana Gurzu1, Claudia Mariana Handra2, Cristina Mandanach2
1Department of Preventive Medicine and Interdisciplinarity, Discipline of Occupational Health, Grigore. T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania.
Background:
Targeted therapies directed against oncogenic drivers have substantially improved outcomes for patients with epidermal growth factor receptor (EGFR)-mutant and anaplastic lymphoma kinase (ALK)-rearranged non-small cell lung cancer (NSCLC). Despite high initial response rates, most patients ultimately develop acquired resistance to tyrosine kinase inhibitors (TKIs), reflecting complex biological adaptations under therapeutic pressure.
Methods:
This narrative review synthesizes experimental, translational, and clinical studies examining how environmental and occupational respiratory exposures may influence resistance mechanisms in EGFR- and ALK-driven NSCLC. The review emphasizes exposure-associated signaling plasticity, inflammatory microenvironmental modulation, metabolic reprogramming, and pharmacokinetic alterations.
Results:
Recent evidence suggests that respiratory exposures, including cigarette smoke, air pollution, diesel exhaust, and occupational inhalational toxicants, can modulate oncogenic signaling networks relevant to resistance to targeted therapies. These mechanisms include aberrant EGFR activation, bypass signaling through the mesenchymal-epithelial transition receptor (MET) and SRC pathways, epithelial-mesenchymal transition (EMT), adaptive kinome remodeling, and exposure-associated inflammatory signaling, all of which may influence tumor evolution and therapeutic response.
Conclusions:
This review introduces a novel exposome-driven conceptual framework integrating environmental exposures with signaling plasticity and resistance evolution in oncogene-driven NSCLC. These findings support the concept that the respiratory exposome may represent an underrecognized modifier of targeted therapy response. Incorporating structured exposure assessment into precision oncology approaches may refine risk stratification and inform exposure-aware therapeutic strategies.
Insights
Environmental and occupational respiratory exposures can drive resistance to targeted therapies in non-small cell lung cancer (NSCLC) by altering signaling pathways. Understanding the respiratory exposome is crucial for developing effective, exposure-aware treatment strategies.
Area of Science:
- Oncology
- Environmental Health
- Molecular Biology
Background:
- Targeted therapies for EGFR-mutant and ALK-rearranged NSCLC improve outcomes.
- Acquired resistance to tyrosine kinase inhibitors (TKIs) limits long-term efficacy.
- Complex biological adaptations drive resistance under therapeutic pressure.
Purpose of the Study:
- To review how respiratory exposures influence resistance mechanisms in EGFR- and ALK-driven NSCLC.
- To emphasize exposure-associated signaling plasticity, inflammation, metabolism, and pharmacokinetics.
- To introduce an exposome-driven framework for resistance evolution.
Main Methods:
- Narrative review of experimental, translational, and clinical studies.
- Synthesis of evidence on environmental and occupational respiratory exposures.
- Emphasis on mechanisms modulating targeted therapy resistance.
Main Results:
- Respiratory exposures (e.g., cigarette smoke, air pollution) modulate oncogenic signaling networks.
- Mechanisms include aberrant EGFR activation, MET/SRC pathway activation, and EMT.
- Exposure-associated inflammation and kinome remodeling influence tumor evolution.
Conclusions:
- The respiratory exposome may be an underrecognized factor in targeted therapy response.
- An exposome-driven framework integrates environmental exposures with resistance evolution.
- Structured exposure assessment can refine risk stratification and inform therapeutic strategies.
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