EGFR mutation status in plasma and tumor tissues in non-small cell lung cancer serves as a predictor of response to EGFR-TKI treatment

Cancer Biology & Therapy
Dan QueGe Wang

Abstract

Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) can effectively control non-small cell lung cancer (NSCLC). Therefore, EGFR mutations should be detected before lung cancer patients undergo EGFR-TKI therapy. This study assessed the feasibility and predictive value of EGFR mutations in peripheral blood samples. EGFR mutations in exons 19 and 21 were analyzed in tumor tissue and plasma DNA samples from 121 NSCLC patients using amplification refractory mutation system (ARMS) and the integrated technique of mutant enriched PCR (me-PCR) and denaturing high performance liquid chromatography (DHPLC), respectively. EGFR mutations were detected in 36.4% of tumor tissues and 34.7% of the plasma at a concordance rate of 85.1% (103/121). The sensitivity and specificity of plasma EGFR mutations were 77.3% and 89.6%, respectively. The gender and tumor histology of patients served as independent predictors of EGFR mutations in both tumor tissues and plasma, while CEA level was an independent predictor of EGFR mutations in the plasma. Furthermore, EGFR-TKI treatment showed a significantly higher objective response rate (ORR), median progression-free survival (mPFS), and overall survival (mOS) in patients harboring EGFR m...Continue Reading

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Citations

Jan 20, 2017·Molecular Diagnosis & Therapy·Florence MaugerJörg Tost
Jan 14, 2019·Respirology : Official Journal of the Asian Pacific Society of Respirology·Brielle A ParrisRoss A Soo
Mar 30, 2020·Journal of Cancer Research and Clinical Oncology·Huijuan ChenLiming Liu
May 26, 2017·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Maria C SchwaederléRazelle Kurzrock
Jul 5, 2021·Journal of Cancer Research and Clinical Oncology·Masaoki ItoMorihito Okada

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Methods Mentioned

BETA
biopsies
PCR
biopsy

Software Mentioned

WAVE maker
SPSS

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