Abstract 458P
Background
Analysis of ctDNA in operable NSCLC for the identification of patients at high risk of relapse could allow tailoring of adjuvant therapy with EGFR tyrosine kinase inhibitors (TKIs). We assessed whether tracking of EGFR mutations in plasma circulating tumor DNA (ctDNA) predicts relapse in completely resected EGFR-mutant NSCLC.
Methods
A prospective cohort of 45 EGFR-mutant stage I-IIIB NSCLC patients, all of whom underwent complete resection of their tumors, had plasma samples for ctDNA analysis taken post-surgery and in follow-up. Cobas EGFR Mutation Test (cobas) was used for tissue genotyping of the baseline tumor biopsy or surgical specimens, and droplet digital PCR (ddPCR) was performed to track the identified EGFR mutations in ctDNA.
Results
We identified EGFR exon 19 deletions (n = 23), L858R (n = 18), and L861Q (n = 4) mutations by cobas in pre-surgical tissue biopsies and/or surgical specimens, and used ddPCR assays for each EGFR mutation to measure ctDNA after surgery. Detection of ctDNA after complete tumor resection in 11 of 45 (24%) patients significantly predicted clinical relapse (hazard ratio [HR] 7.0, 95% confidence interval [CI] 2.13 to 22.68; log-rank p = 0.001). Multivariable analysis demonstrated that detection of ctDNA remained a significant predictor of clinical relapse after adjusting for clinical factors (HR 6.16, 95% CI 1.80 to 21.06; p = 0.004). Notably, ctDNA-based molecular relapse demonstrated a lead time of up to 8.1 months over clinical relapse.
Conclusions
Tracking of EGFR mutations in cfDNA following surgical treatment can identify NSCLC patients at high risk of relapse. Whether ctDNA monitoring could allow tailoring of adjuvant therapy with EGFR tyrosine kinase inhibitors will have to be determined in future clinical trials.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
AstraZeneca.
Disclosure
M. Filipits: Honoraria (self), Advisory / Consultancy, Research grant / Funding (self): AstraZeneca; Honoraria (self), Advisory / Consultancy: Boehringer Ingelheim. M.J. Hochmair: Honoraria (self), Advisory / Consultancy: AstraZeneca; Honoraria (self), Advisory / Consultancy: Boehringer Ingelheim. A. Buder: Honoraria (self): AstraZeneca. All other authors have declared no conflicts of interest.
Resources from the same session
380P - Ventricular–Subventricular zone involvement: A predictive factor for survival in glioblastoma
Presenter: Vibhay Pareek
Session: Poster display session
Resources:
Abstract
381P - XKR8 is a promising potential prognostic marker in glioblastoma multiforme patients
Presenter: Kristina Havrysh
Session: Poster display session
Resources:
Abstract
383P - Screening of prognostic molecular biomarker for resectable pancreatic cancer
Presenter: Yonggang Peng
Session: Poster display session
Resources:
Abstract
384P - Prevalence of abnormal microsatellite instability test among ovary and endometrial cancer patients
Presenter: Min Kyu Kim
Session: Poster display session
Resources:
Abstract
385P - Identifying CASP8 polymorphisms associated with breast cancer risk in an Iranian population
Presenter: Alireza Pasdar
Session: Poster display session
Resources:
Abstract
386P - Unusual folding of NaPi2b transporter extramembrane domain 4 during malignant transformation
Presenter: Leysan Minigulova
Session: Poster display session
Resources:
Abstract
387P - 5-years conditional disease free survival and overall survival for breast cancer patients in South Korea
Presenter: Jee hyun Ahn
Session: Poster display session
Resources:
Abstract
388P - To identify circulating tumour cells by machine learning approach
Presenter: Yuebin Liang
Session: Poster display session
Resources:
Abstract
389P - The establishment of patient-derived organoid models and drug response of resectable non-small cell lung cancer
Presenter: Jing-Hua Chen
Session: Poster display session
Resources:
Abstract
395P - Filipinos and lung cancer: An infodemiological assessment using Google trends from 2009 to 2019
Presenter: Lance Isidore Catedral
Session: Poster display session
Resources:
Abstract