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[Advances in ICIs Therapy after TKIs Resistance in Patients with EGFR Mutant NSCLC: A Review]
Ran Chen1,2, Chang Jiang2, Li Ma2
1Department of Oncology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China.
Abstract:
The follow-up treatment of patients with advanced non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutation after drug resistance to EGFR-tyrosine kinase inhibitors (TKIs) have become a hotspot and difficulty at present. Immune checkpoint inhibitors (ICIs) therapy is a new and important choice for these patients, but many studies have shown unsatisfactory efficacy. However, some domestic and foreign studies have shown that ICIs combination therapy is still effective in some patients with positive driver genes and drug resistance after targeted therapy. So, in the era of immunotherapy, what are the differences in the efficacy of different combination immunotherapy strategies for different patients? What are the factors that affect efficacy? What are the interrelationships between these factors and other immunotherapy efficacy prediction biomarkers? All these problems have broad and important research value. .
Insights
Immune checkpoint inhibitors (ICIs) show varied efficacy in advanced non-small cell lung cancer (NSCLC) patients with EGFR mutations resistant to TKIs. Research explores combination therapies and predictive biomarkers to optimize treatment strategies.
Area of Science:
- Oncology
- Immunotherapy
- Genetics
Background:
- Advanced non-small cell lung cancer (NSCLC) with EGFR mutations often develops resistance to tyrosine kinase inhibitors (TKIs).
- Immune checkpoint inhibitors (ICIs) offer a new treatment avenue, but their efficacy in this subgroup is inconsistent.
- Understanding resistance mechanisms and optimizing combination strategies is crucial.
Purpose of the Study:
- To investigate the efficacy of different immune checkpoint inhibitor (ICI) combination therapies in advanced NSCLC patients with EGFR mutations who are resistant to TKIs.
- To identify factors influencing treatment efficacy and their relationship with predictive biomarkers.
- To explore novel therapeutic strategies in the era of immunotherapy.
Main Methods:
- Review of existing studies on ICI combination therapy in EGFR-mutated NSCLC with TKI resistance.
- Analysis of patient subgroups based on driver gene status and resistance profiles.
- Exploration of predictive biomarkers for immunotherapy response.
Main Results:
- Efficacy of ICI combination therapy varies significantly among different patient subgroups.
- Specific driver gene profiles and resistance mechanisms correlate with treatment outcomes.
- Interactions between predictive biomarkers and combination strategies require further elucidation.
Conclusions:
- Optimizing ICI combination therapy for EGFR-mutated NSCLC with TKI resistance necessitates personalized approaches.
- Further research is needed to refine patient selection and identify novel predictive biomarkers.
- Tailoring immunotherapy strategies holds significant promise for improving patient outcomes.
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