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Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are the standard first-line therapy for EGFR-mutant non-small cell lung cancer (NSCLC), yet treatment efficacy varies widely among patients.The aim of the present study was to investigate the correlation between immunohistochemistry (IHC)-quantified EGFR mutant protein expression percentage (MPEP) in tumour tissue and EGFR-TKI efficacy, as well as the clinical predictive value of this mutation percentage.The present retrospective study included 50 patients with NSCLC with EGFR exon 19 deletion or leucine-to-arginine substitution at codon 858 mutations who received EGFR-TKI treatment.IHC was performed to quantify the percentage of EGFR-mutant tumour cells, and the association between this mutation percentage and progression-free survival (PFS), overall survival (OS) and objective response rate (ORR) was analysed.The median IHC-MPEP was 51.18%, with an overall ORR of 50% in the cohort.Receiver operating characteristic curve analysis identified 52.66% as the optimal cut-off value for efficacy prediction.Patients in the high mutation percentage group (≥52.66%;n=24) had a significantly longer median PFS (21.0 vs. 8.5 months; P<0.05) and OS (30 vs. 18 months; P=0.023), as well as a higher ORR (70.8 vs. 30.7%;P= 0.004), compared with the low mutation percentage group.The EGFR mutation percentage was confirmed as an independent prognostic factor for PFS (hazard ratio= 0.946; 95% confidence interval, 0.927-0.966;P<0.001).Therefore, IHC-MPEP is a reliable quantitative method that can effectively predict EGFR-TKI efficacy and survival benefit in patients with EGFR-mutant NSCLC. Immunohistochemistry-quantified EGFR mutant protein expression percentage outperforms next-generation sequencing-derived mutational abundance for predicting tyrosine kinase inhibitor efficacy in non-small cell lung cancer
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Xiang et al. (2026) studied this question.
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