Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs
Male
Lung Neoplasms
droplet digital polymerase chain reaction
Clinical Sciences
Oncology and Carcinogenesis
610
Kaplan-Meier Estimate
Disease-Free Survival
Erlotinib Hydrochloride
03 medical and health sciences
0302 clinical medicine
Clinical Research
Carcinoma, Non-Small-Cell Lung
Humans
Non-Small-Cell Lung
Lung
Protein Kinase Inhibitors
non-small cell lung cancer
Cancer
Aged
Biomedical and Clinical Sciences
Lung Cancer
Carcinoma
Evaluation of treatments and therapeutic interventions
Oncology and carcinogenesis
Gefitinib
Middle Aged
Prognosis
3. Good health
ErbB Receptors
Treatment Outcome
6.1 Pharmaceuticals
Mutation
Quinazolines
Female
blood biopsy
epidermal growth factor receptor
Research Paper
DOI:
10.18632/oncotarget.14490
Publication Date:
2017-01-07T00:30:52Z
AUTHORS (13)
ABSTRACT
Detection of circulating tumor DNA using droplet digital polymerase chain reaction (ddPCR) is a highly-sensitive, minimally invasive alternative to serial biopsies for assessment and management of cancer. We used ddPCR to assess the utility of measuring plasma concentrations of common epidermal growth factor receptor (EGFR) mutations (L858R, exon 19 deletion, and T790M) in 57 non-small cell lung cancer (NSCLC) patients treated with EGFR tyrosine kinase inhibitors (EGFR-TKIs). High baseline plasma EGFR mutation (pEGFRmut) concentrations were associated with shorter progression-free survival (8.43 months) than low baseline pEGFRmut (16.23 months; p = 0.0019). By contrast, there were no differences in tumor shrinkage or overall survival between groups. During EGFR-TKI treatment, pEGFRmut levels decreased to zero in 89.58% of patients. Twenty-five of the 27 patients who progressed had basal pEGFRmut, and 18 also had circulating T790M. All 20 patients with dramatic progression (according to a categorization system for EGFR-TKIs failure) had basal pEGFRmut, and 13 had T790M mutation at progression. These results support the use of ddPCR for analysis of plasma EGFR mutations for prediction of PFS and to monitor clinical responses to EGFR-TKIs in NSCLC patients.
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CITATIONS (14)
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