Early Prediction of Response to Tyrosine Kinase Inhibitors by Quantification of EGFR Mutations in Plasma of NSCLC Patients
Open accessAbstract
INTRODUCTION: The potential to accurately quantify epidermal growth factor receptor (EGFR) mutations in plasma from non-small-cell lung cancer patients would enable more rapid and more frequent analyses to assess disease status; however, the utility of such analyses for clinical purposes has only recently started to explore. METHODS: Plasma samples were obtained from 69 patients with EGFR-mutated tumors and 21 negative control cases. EGFR mutations in plasma were analyzed by a standardized allele-specific polymerase chain reaction (PCR) test and ultra-deep next-generation sequencing (NGS). A semiquantitative index (SQI) was derived from dilutions of known EGFR mutation copy numbers. Clinical responses were evaluated by Response Evaluation Criteria in Solid Tumors 1.1 criteria and expressed as percent tumor shrinkage. RESULTS: The sensitivity and specificity of the PCR test and NGS assay in plasma versus tissue were 72% versus 100% and 74% versus 100%, respectively. Quantitative indices by the PCR test and NGS were significantly correlated (p < 0.001). EGFR testing at baseline and serially at 4 to 60 days during tyrosine kinase inhibitor therapy revealed a progressive decrease in SQI, starting from day 4, in 95% of cases. The rate of SQI decrease correlated with percent tumor shrinkage at 2 months (p < 0.0001); at 14 days, it was more than 50% in 70% of patients (rapid responders). In two patients with slow response, an early increase in the circulating levels of the T790M mutation was observed. No early T790M mutations were seen in plasma samples of rapid responders. CONCLUSIONS: Quantification of EGFR mutations from plasma with a standardized PCR test is feasible. To our knowledge, this is the first study showing a strong correlation between the EGFR SQI in the first days of treatment and clinical response with relevant implications for patient management.
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Liquid biopsies from plasma can detect resistance mutations such as acquired T790M with 60-80% sensitivity and specificity approaching 100%.
“use of liquid biopsies from plasma to monitor tumor progression and identify EGFR mutations associated with resistance to therapy (e.g., acquired T790M) has been documented, with such biopsies showing 60–80% sensitivity and specificity approaching 100% in detecting specific resistance mutations.”
From Afatinib for the treatment of <i>EGFR</i> mutation-positive NSCLC: A review of clinical findings (2020) · cites this paper as [25]
The Discussion (p. 4) reports 72% and 74% sensitivity and 100% specificity for detecting EGFR mutations in plasma versus tissue, and the plasma-monitoring results (p. 4) document emerging T790M in two patients. Those performance figures apply to EGFR mutation detection overall; the paper does not establish 60–80% sensitivity and near-100% specificity specifically for detecting resistance mutations such as acquired T790M. (LLM, conf=0.87)
Experimental — accuracy not yet measuredctDNA levels may drop while on TKI therapy even with partial response.
“It is well established that ctDNA levels may drop while on TKI therapy even with partial response (40).”
Liquid biopsy is a validated alternative to tissue rebiopsy, provides a surrogate source of DNA, and is a new strategy for tumour genotyping mainly at progression in EGFR-mutated patients.
“A valid alternative to tissue rebiopsy is represented by liquid biopsy, which has been validated [126], represents a surrogate source of DNA and is a new strategy for tumour genotyping, mainly at the time of progression for EGFR-mutated patients [III, A] [127-129].”
From Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up (2016) · cites this paper as [128]
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- Authors
- Marchetti, A., Palma, J. F., Felicioni, L., De Pas, T. M., Chiari, R., Del Grammastro, M., Filice, G., Ludovini, V., Brandes, A., Chella, A., Malorgio, F., Guglielmi, F., De Tursi, M., Santoro, A., Crinò, L., & Buttitta, F.
- Affiliations
- University of Chieti-Pescara (IT)
- Azienda Ospedaliera di Perugia (IT)
- Azienda USL di Bologna (IT)
- University of Pisa (IT)
- Azienda USL di Pescara (IT)
- Ospedale di Spoleto (IT)
- University of Perugia (IT)
- Corresponding author
- Buttitta, Fiamma
- ORCID
- Venue
- Journal of Thoracic Oncology
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 10
- Issue
- 10
- Pages
- 1437-1443
- ISSN
- 1556-0864 (ISSN-L)
- OpenAlex
- W2191042712
- Cited by
- 182
- References
- 3
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 9 · 2022: 7 · 2021: 20 · 2020: 26 · 2019: 28 · 2018: 26 · 2017: 33 · 2016: 25 · 2015: 2
- FWCI
- 22.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Thoracic Oncology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Keywords
- EGFR mutation, non-small cell lung cancer, tyrosine kinase inhibitors, liquid biopsy, plasma biomarkers, early response prediction, allele-specific PCR, T790M mutation, circulating tumor DNA, tumor shrinkage
- MeSH terms
- Erlotinib Hydrochloride, Carcinoma, Non-Small-Cell Lung, Genetic Testing, Humans, Lung Neoplasms, Mutation, Case-Control Studies, Treatment Outcome, Clinical Trials, Phase II as Topic, Protein Kinase Inhibitors, ErbB Receptors
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