Interlesional Heterogeneity of EGFR Mutations: A Systematic Review and Meta-analysis

EGFR mutation discordance is common and clinically relevant, particularly in NSCLC, but varies substantially by sampling strategy, biofluid, treatment context, and metastatic site. Given the high between-study heterogeneity and the predominance of NSCLC and Asian cohorts, pooled estimates should be interpreted as descriptive summaries rather than universally generalisable benchmarks. These findings support integrated and context-aware sampling strategies for EGFR-targeted therapy and resistance monitoring.

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Publication Details

Journal
Molecular Diagnosis & Therapy
Published
2026-02-05
DOI
https://doi.org/10.1007/s40291-026-00829-6
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
0.00
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article

Interlesional Heterogeneity of EGFR Mutations: A Systematic Review and Meta-analysis

Stevie van der Mierden, Winnie Schats, Zuhir Bodalal, Pétur Snæbjörnsson et al.
Molecular Diagnosis & Therapy
Lung Cancer Treatments and Mutations
article

Interlesional Heterogeneity of EGFR Mutations: A Systematic Review and Meta-analysis

Stevie van der Mierden, Winnie Schats, Zuhir Bodalal, Pétur Snæbjörnsson, Olga Maxouri, Diana Ivonne Rodríguez Sánchez, Stephan Ursprung, Selin Asli Öztürk, Sajjad Rostami
article en

Abstract

EGFR mutation discordance is common and clinically relevant, particularly in NSCLC, but varies substantially by sampling strategy, biofluid, treatment context, and metastatic site. Given the high between-study heterogeneity and the predominance of NSCLC and Asian cohorts, pooled estimates should be interpreted as descriptive summaries rather than universally generalisable benchmarks. These findings support integrated and context-aware sampling strategies for EGFR-targeted therapy and resistance monitoring.

Molecular Diagnosis & TherapyVol. 30(2)
University of Iceland (IS), University of Southern Denmark (DK), Maastricht University Medical Centre (NL), The Netherlands Cancer Institute (NL), Maastricht University (NL), Oncode Institute (NL)
Openalex Percentile: Top 67%
Lung Cancer Treatments and Mutations
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