Liquid Biopsy and 18F-FDG PET/CT Derived Parameters as Predictive Factors of Osimertinib Treatment in Advanced EGFR-Mutated NSCLC.
Clin Lung Cancer
; 2024 Aug 06.
Article
em En
| MEDLINE
| ID: mdl-39198088
ABSTRACT
OBJECTIVES:
Despite the outstanding results achieved by osimertinib for the treatment of advanced EGFR-mutated NSCLC, the development of resistance is almost inevitable. While molecular mechanism responsible for osimertinib resistance are being mostly revealed, the definition of predictive biomarkers is crucial in order to identify patients at higher risk of progression and optimize treatment strategy. MATERIALS ANDMETHODS:
This is a prospective single-center study aimed to assess the potential role of liquid biopsy and 18F-FDG PET/CT derived metabolic parameters as noninvasive predictive biomarkers of osimertinib outcomes in advanced EGFR-mutated NSCLC patients. Patients underwent blood samples for ctDNA analysis at baseline, after 15 days and 1 month (t1) of osimertinib. 18F-FDG PET/CT was performed at baseline and after 1 month of osimertinib.RESULTS:
Seventy-two advanced EGFR-mutated NSCLC patients treated with osimertinib in first (n = 63) and in second-line (n = 9) were prospectively enrolled. Baseline positive shedding status was significantly associated with a shorter progression-free survival (PFS) (9.5 vs. 29.2 months, P = .031). Early metabolic response (MR) led to improved PFS (16.8 vs. 5.5 months, P = .038) and OS (35.2 vs. 15.3 months, P = .047). Early MR was significantly correlated with subsequent radiologic response (P = .010). All 18F-FDG PET/CT baseline parameters were significantly related to baseline EGFR activating mutation allele frequency. Both clearance and no detection of EGFR at t1 were significantly associated with MR (P = .001 and P = .004, respectively).CONCLUSION:
Molecular and 18F-FDG PET/CT derived metabolic parameters might represent a useful tool to predict osimertinib outcome in advanced EGFR-mutated NSCLC patients.
Texto completo:
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Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Clin Lung Cancer
Ano de publicação:
2024
Tipo de documento:
Article