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A novel ARMS-based assay for the quantification of EGFR mutations in patients with lung adenocarcinoma

Yazhen Zhu1, Zhiwei Guo2, Ying Liu1

  • 1Department of Pathology, Guangdong Provincial Hospital of TCM, Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, Guangdong 510120, P.R. China.

Oncology Letters
|February 14, 2018
PubMed

Insights

A new method, amplification refractory mutation system (ARMS)-Plus, accurately quantifies epidermal growth factor receptor (EGFR) mutations in lung cancer patients. This reliable and cost-effective approach aids in predicting tyrosine kinase inhibitor efficacy.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genetics

Background:

  • Accurate quantification of epidermal growth factor receptor (EGFR) mutations is crucial for predicting tyrosine kinase inhibitor (TKI) efficacy in non-small cell lung cancer (NSCLC).
  • Current methods for quantifying EGFR mutations lack sensitivity and convenience for clinical application.
  • EGFR mutations, including exon 19 deletion (19Del) and L858R, are key targets for NSCLC treatment.

Purpose of the Study:

  • To introduce and evaluate a novel method, amplification refractory mutation system (ARMS)-Plus, for the quantitative analysis of EGFR mutations (19Del, L858R, T790M).
  • To compare the performance of ARMS-Plus with conventional ARMS-polymerase chain reaction (ARMS-PCR) and droplet digital PCR (ddPCR).
  • To assess the reliability and cost-effectiveness of ARMS-Plus for clinical decision-making in lung adenocarcinoma patients.

Main Methods:

  • Collected formalin-fixed paraffin-embedded tumor samples from 77 lung adenocarcinoma patients.
  • Extracted DNA and analyzed EGFR mutations using the novel ARMS-Plus method.
  • Compared ARMS-Plus results with conventional ARMS-PCR and droplet digital PCR (ddPCR) for concordance and quantitative accuracy.

Main Results:

  • ARMS-Plus demonstrated a high concordance rate (98.7%) with ddPCR for EGFR mutation testing.
  • Sensitivity and specificity of ARMS-Plus were found to be similar to ddPCR.
  • ARMS-Plus showed a positive correlation with ddPCR in quantifying L858R mutant abundance, indicating reliable quantitative analysis.

Conclusions:

  • ARMS-Plus is a sensitive, specific, and reliable method for quantifying EGFR mutations in lung adenocarcinoma.
  • This novel technique offers a cost-effective alternative for EGFR mutation analysis, supporting personalized treatment strategies.
  • ARMS-Plus can aid clinicians in making informed treatment decisions for NSCLC patients based on EGFR mutation status.
Keywords:
amplification refractory mutation systemdroplet digital polymerase chain reactionepidermal growth factor receptorformalin-fixed paraffin-embeddednon-small cell lung cancer

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