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Dynamic Assessment of Tissue and Plasma EGFR-Activating and T790M Mutations with Droplet Digital PCR Assays for
Hsiang-Ling Ho1,2, Fang-Yu Wang1, Chi-Lu Chiang3,4
1Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.
Abstract:
Assessing tumor EGFR mutation status is necessary for the proper management of patients with advanced non-small cell lung cancer (NSCLC). We evaluated the impact of dynamic analyses of the plasma and tissue EGFR mutation using ultra-sensitive droplet digital PCR (ddPCR) assays to manage NSCLC patients treated with EGFR tyrosine kinase inhibitors (EGFR-TKIs). Paired tumor tissues and plasma samples from 137 EGFR-mutated lung adenocarcinoma patients prior to the first-line EGFR-TKIs treatment (at baseline) and at disease progression were subjected to EGFR mutation analysis using ddPCR, together with the analyses of the clinicopathological characteristics and treatment outcomes. Patients with EGFR-activating mutations detected in baseline plasma were associated with bone metastasis (p = 0.002) and had shorter progression-free survival (12.9 vs. 17.7 months, p = 0.02) and overall survival (24.0 vs. 39.4 months, p = 0.02) compared to those without. Pre-treatment EGFR T790M mutation found in baseline tumor tissues of 28 patients (20.4%; 28/137) was significantly associated with brain metastasis (p = 0.005) and a shorter brain metastasis-free survival (p = 0.001). The presence of EGFR T790M mutations in baseline tumor tissues did not correlate with the emergence of acquired EGFR T790M mutations detected at progression. At disease progression, acquired EGFR T790M mutations were detected in 26.6% (21/79) of the plasma samples and 42.9% (15/35) of the rebiopsy tissues, with a concordance rate of 71.4% (25/35). The dynamic monitoring of tissue and plasma EGFR mutation status at baseline and progression using ddPCR has a clinical impact on the evaluation of EGFR-TKIs treatment efficacy and patient outcomes, as well as the emergence of resistance in NSCLC.
Insights
Dynamic analysis of tumor and plasma EGFR mutations using ddPCR impacts non-small cell lung cancer (NSCLC) management. This approach aids in evaluating EGFR tyrosine kinase inhibitor (EGFR-TKI) treatment efficacy and predicting patient outcomes in NSCLC.
Area of Science:
- Oncology
- Molecular Diagnostics
- Genetics
Background:
- Accurate assessment of tumor Epidermal Growth Factor Receptor (EGFR) mutation status is critical for managing advanced non-small cell lung cancer (NSCLC).
- EGFR tyrosine kinase inhibitors (EGFR-TKIs) are standard treatments, but understanding resistance mechanisms and optimizing treatment requires dynamic monitoring.
Purpose of the Study:
- To evaluate the clinical impact of dynamic analyses of plasma and tissue EGFR mutations using ultra-sensitive droplet digital PCR (ddPCR) assays.
- To assess the role of EGFR mutation status in NSCLC patients treated with EGFR-TKIs, focusing on baseline and progression markers.
Main Methods:
- Paired tumor tissues and plasma samples from 137 EGFR-mutated lung adenocarcinoma patients were analyzed at baseline and disease progression using ddPCR.
- Clinicopathological characteristics, treatment outcomes, and EGFR mutation status (including T790M) were analyzed.
Main Results:
- Presence of EGFR-activating mutations in baseline plasma correlated with bone metastasis and shorter progression-free and overall survival.
- Pre-treatment T790M mutation in tumor tissue was associated with brain metastasis and shorter brain metastasis-free survival.
- Dynamic ddPCR monitoring of EGFR mutations in tissue and plasma at baseline and progression demonstrated clinical utility in evaluating treatment efficacy and resistance.
Conclusions:
- Dynamic monitoring of EGFR mutation status in both tissue and plasma using ddPCR provides valuable insights for NSCLC patient management.
- This approach aids in predicting treatment outcomes, understanding metastasis patterns, and identifying the emergence of resistance to EGFR-TKIs.
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