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Interlesional Heterogeneity of EGFR Mutations: A Systematic Review and Meta-analysis
Diana Ivonne Rodríguez Sánchez1,2, Selin Asli Öztürk1, Olga Maxouri1,2
1Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Molecular Diagnosis & Therapy
|February 5, 2026
Summary
Epidermal growth factor receptor (EGFR) mutation discordance occurs in 16.1% of solid tumors, impacting treatment decisions. This rate varies significantly based on biopsy type, TKI exposure, and resistance development.
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- Activating EGFR mutations are crucial in NSCLC and other solid tumors, guiding TKI therapy.
- Tumor heterogeneity and sampling issues can lead to discordant EGFR test results, complicating treatment.
- Limited systematic data exists on the prevalence and causes of EGFR mutation discordance.
Purpose of the Study:
- To systematically review and meta-analyze the prevalence and predictors of EGFR mutation discordance across different tumor types and biopsy strategies.
- To provide a comprehensive overview of EGFR discordance in adult solid tumors.
Main Methods:
- Systematic review and meta-analysis following PRISMA guidelines, searching MEDLINE, Embase, and Scopus (2004-2024).
- Included studies comparing primary vs. metastatic tumors, tissue vs. liquid biopsies, or different liquid biopsies.
- Random-effects meta-analysis used to estimate pooled discordance rates and explore predictors via subgroup analysis and meta-regression.
Main Results:
- 154 studies (15,560 patients) showed a pooled EGFR discordance rate of 16.1%.
- Discordance was higher in liquid-liquid biopsies (34.0%) than tissue-tissue (16.8%) or tissue-liquid (15.5%). Cerebrospinal fluid had the highest discordance (35.5%).
- Prior TKI exposure (25.8%) and developing resistance (21.0%) were associated with higher discordance.
Conclusions:
- EGFR mutation discordance is common in NSCLC and other solid tumors, influenced by sampling, biofluid, treatment, and metastatic site.
- Pooled estimates are descriptive due to heterogeneity and study population biases (NSCLC, Asian cohorts).
- Integrated and context-aware sampling strategies are recommended for EGFR-targeted therapy and monitoring resistance.
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