Abstract 1270P
Background
This study aims to evaluate the feasibility of utilizing digital droplet polymerase chain reaction (ddPCR) for the detection of specific driver gene mutations (EGFR L858R/19del or KRAS G12C/D) in ctDNA for MRD monitoring in resected NSCLC patients with the mentioned mutations.
Methods
Plasma samples were collected every 3 or 6 months to detect EGFR L858R/19del or KRAS G12 C/D mutations from patients with resected NSCLC, using a single point assay. A binary logistic analysis was performed to assess the impact of these factors on MRD outcomes.
Results
Our study included 300 patients with resected NSCLC, with a median age of 62 years. Among them, 54% of patients had the EGFR L858R mutation, 34% had EGFR 19del, 10% had KRAS mutation, and the remaining 2% exhibited multiple mutations. The majority of participants were diagnosed with Stage IA NSCLC (71%), followed by 14% with Stage IB, 7% with Stage II, and 7% with Stage III. In terms of histological subtype, invasive adenocarcinoma accounted for 85% of cases, while 10% had Adenocarcinoma In Situ/Minimally Invasive Adenocarcinoma (AIS/MIA). The longest follow-up period was 39 months, with a median follow-up time of 33 months. A total of 607 blood samples were collected, with 10% of samples from AIS/MIA and 17% of samples from invasive adenocarcinoma showing MRD positivity. Among different gene mutations, the positive rates for MRD were 15% for EGFR L858R, 19% for EGFR 19del, and 18% for KRAS. In our binary logistic analysis, patients who received adjuvant therapy had a higher likelihood of MRD negativity (odds ratio: 0.50 [95% CI: 0.27, 0.95], p < 0.05). A higher TNM stage was associated with a higher likelihood of MRD positivity (OR: 2.13 [95% CI: 1.51, 2.99], p < 0.001).
Conclusions
Our findings indicate that ddPCR is a feasible option for detecting MRD in resected NSCLC with common driver genes, its accuracy was supported by the results of relevant subgroup analysis. Considering the elevated prevalence of EGFR mutations in the Asian population, our personalized tumor-informed approach targeting EGFR may offer a cost-effective solution. Nevertheless, additional data are necessary to substantiate its efficacy.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
National Center for Respiratory Medicine; The First Affiliated Hospital of Guangzhou Medical University.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1265P - Toripalimab plus chemotherapy as neoadjuvant treatment for resectable stage IIB-IIIB NSCLC (RENAISSANCE study): A single-arm, phase II trial
Presenter: Shi Yan
Session: Poster session 04
1266P - Prediction of lung cancer risk in ground-glass nodules using deep learning from CT images
Presenter: Anil Vachani
Session: Poster session 04
1267P - Enhancing pulmonary nodule diagnosis: A combinatorial model of cfDNA methylation, plasma proteins and LDCT imaging
Presenter: Meng Yang
Session: Poster session 04
1268P - Liquid biopsy and CT-based multi-omics fusion enhances differential diagnosis of early-stage lung adenocarcinoma
Presenter: Yanwei Zhang
Session: Poster session 04
1269P - Machine learning model for predicting lung cancer recurrence after surgical treatment: A retrospective study using NLST and European hospital data
Presenter: Ann Valter
Session: Poster session 04
1272P - Postoperative survival prediction in non-small cell lung cancer patients based on driver genotypes
Presenter: Huiting Wang
Session: Poster session 04
1273P - The prognostic value evaluation of a tissue Comprehensive Genomic Profiling (CGP)-informed personalized MRD detection assay in NSCLC
Presenter: Wei Gao
Session: Poster session 04
1274P - Early dynamics of circulating tumor DNA following curative hypofractionated radiotherapy related to disease control in lung cancer
Presenter: Kyungmi Yang
Session: Poster session 04
1275P - Genomic analysis of lung adenocarcinoma with micropapillary component: Identification of micropapillary-related subtypes and development of a prognostic model
Presenter: Yuechun Lin
Session: Poster session 04
1276P - Genomic screening by multi-gene assay for perioperative targeted therapy in patients with early-stage non-small cell lung cancer: LC-SCRUM-Advantage/MRD
Presenter: Kiyotaka Yoh
Session: Poster session 04