Epidermal Growth Factor Receptor Mutations In ctDNA Research Articles

Correlation of circulating tumor DNA EGFR mutation levels with clinical outcomes in patients with advanced lung adenocarcinoma

Background:Circulating tumor DNA (ctDNA) is a promising biomarker for non-invasive epidermal growth factor receptor mutations (EGFRm) detection in lung cancer patients, but existing methods have limitations in sensitivity and availability. In this study, we used the ΔCt value (mutant cycle threshold [Ct] value–internal control Ct value) generated during the polymerase chain reaction (PCR) assay to convert super-amplification-refractory mutation system (superARMS) from a qualitative method to a semi-quantitative method named reformed-superARMS (R-superARMS), and evaluated its performance in detecting EGFRm in plasma ctDNA in patients with advanced lung adenocarcinoma.Methods:A total of 41 pairs of tissues and plasma samples were obtained from lung adenocarcinoma patients who had known EGFRm in tumor tissue and were previously untreated. EGFRm in ctDNA was identified by using superARMS. Through making use of ΔCt value generated during the detection process of superARMS, we indirectly transform this qualitative detection method into a semi-quantitative PCR detection method, named R-superARMS. Both qualitative and quantitative analyses of the data were performed. Kaplan–Meier analysis was performed to estimate the progression-free survival (PFS) and overall survival (OS). Fisher exact test was used for categorical variables.Results:The concordance rate of EGFRm in tumor tissues and matched plasma samples was 68.3% (28/41). At baseline, EGFRm-positive patients were divided into two groups according to the cut-off ΔCt value of EGFRm set at 8.11. A significant difference in the median OS (mOS) between the two groups was observed (EGFRm ΔCt ≤8.11 vs. >8.11: not reached vs. 11.0 months; log-rank P = 0.024). Patients were divided into mutation clearance (MC) group and mutation incomplete clearance (MIC) group according to whether the ΔCt value of EGFRm test turned negative after 1 month of treatment. We found that there was also a significant difference in mOS (not reached vs. 10.4 months; log-rank P = 0.021) between MC group and MIC group. Although there was no significant difference in PFS between the two groups, the two curves were separated and the PFS of MC group tended to be higher than the MIC group (not reached vs. 27.5 months; log-rank P = 0.088). Furthermore, EGFRm-positive patients were divided into two groups according to the cut-off of the changes in ΔCt value of EGFRm after 1 month of treatment, which was set at 4.89. A significant difference in the mOS between the two groups was observed (change value of ΔCt >4.89 vs. ≤4.89: not reached vs. 11.0 months; log-rank P = 0.014).Conclusions:Detecting EGFRm in ctDNA using R-superARMS can identify patients who are more likely sensitive to targeted therapy, reflect the molecular load of patients, and predict the therapeutic efficacy and clinical outcomes of patients.

Clearing of circulating tumour DNA predicts clinical response to osimertinib in EGFR mutated lung cancer patients

ObjectivesTyrosine kinase inhibitors (TKIs) are first line treatment choices for patients with epidermal growth factor receptor (EGFR) mutated non-small cell lung cancer (NSCLC). However, responses vary among patients, therefore good biomarkers predicting better responses are required. EGFR mutations are detected in the blood from patients as circulating tumour DNA (ctDNA). Studies have shown that clearing ctDNA during first line TKI treatment predicts outcomes for first and second generation TKI treatments. We aimed to investigate the effects on outcome measures of ctDNA clearing in subsequent treatment lines to treatment with the third generation TKI osimertinib. MethodsIn total, 225 patients were included in a prospective, multicentre study, where consecutive blood samples were monitored for EGFR mutations during systemic treatment lines, using the Cobas® EGFR mutation test v2. This study focused on EGFR mutations in ctDNA of 82 systemically pre-treated patients receiving osimertinib. ResultsClearing all EGFR mutations from the blood after osimertinib treatment, significantly predicted progression-free survival, objective response rates and disease control rates. Primary sensitising EGFR mutations were found in ctDNA in 70 % of patients, and were accompanied by the T790 M mutation in nearly two thirds of cases. The T790 M mutation was cleared in all cases, while the accompanying sensitising mutations did not necessarily clear. However, T790 M clearing without simultaneously clearing of the primary sensitising mutation did not predict clinical responses. Neither the detection of T790 M before osimertinib treatment, nor the presence of EGFR mutations at the time of osimertinib initiation predicted clinical outcomes. ConclusionThe clearing of EGFR mutations in ctDNA after osimertinib treatment initiation in patients with advanced NSCLC is useful as a positive predictor of clinical outcome.

Comparative Analysis of Two Methods for the Detection of EGFR Mutations in Plasma Circulating Tumor DNA from Lung Adenocarcinoma Patients.

Mutations in the epidermal growth factor receptor (EGFR) are associated with various solid tumors. This study aimed to compare two methods for the detection of EGFR mutations in circulating tumor DNA (ctDNA) from lung adenocarcinoma (LUAD) patients and to evaluate the clinical significance of EGFR mutations in ctDNA. In this prospective cohort study, the EGFR mutation status of 77 patients with stage IIIB or IV LUAD was first determined using lung cancer tissue. The amplification refractory mutation system (ARMS) and single allele base extension reaction combined with mass spectroscopy (SABER/MassARRAY) methods were also used to detect EGFR mutations in plasma ctDNA from these patients and then compared using the EGFR mutation status in lung cancer tissue as a standard. Furthermore, the relationship between the presence of EGFR mutations in ctDNA after receiving first-line EGFR-tyrosine kinase inhibitor (EGFR-TKI) therapy and survival was evaluated. The overall sensitivity and specificity for the detection of EGFR mutations in plasma ctDNA by ARMS and SABER/MassARRAY were 49.1% vs. 56% and 90% vs. 95%, respectively. The agreement level between these methods was very high, with a kappa-value of 0.88 (95% CI 0.77–0.99). Moreover, 43 of the patients who carried EGFR mutations also received first-line EGFR-TKI therapy. Notably, patients with EGFR mutations in plasma ctDNA had significantly shorter progression-free survival (9.0 months, 95% CI 7.0–11.8, vs. 15.0 months, 95% CI 11.7–28.2; p = 0.02) and overall survival (30.6 months, 95% CI 12.4–37.2, vs. 55.6 months, 95% CI 25.8–61.8; p = 0.03) compared to those without detectable EGFR mutations. The detection of EGFR mutations in plasma ctDNA is a promising, minimally invasive, and reliable alternative to tumor biopsy, and the presence of EGFR mutations in plasma ctDNA after first-line EGFR-TKI therapy is associated with poor prognosis.

Dynamics of EGFR Mutation Load in Plasma for Prediction of Treatment Response and Disease Progression in Patients With EGFR-Mutant Lung Adenocarcinoma

BackgroundThe assessment of epidermal growth factor receptor (EGFR) mutations is crucial for the management of patients with lung adenocarcinoma. Circulating tumor DNA (ctDNA)-based assessment offers advantages over tumor as a minimally invasive method able to capture tumor heterogeneity. Patients and MethodsConsecutive patients diagnosed with EGFR-mutant lung adenocarcinoma in tumor biopsy were included in this study. Plasma samples were obtained at different time points during the course of the disease. EGFR mutations in plasma were quantified using BEAMing (beads, emulsions, amplification, and magnetics) or digital PCR and were correlated with mutations in tumor and with radiologic response and progression. ResultsTwo hundred twenty-one plasma samples from 33 patients were analyzed. EGFR mutations in plasma were detected in 83% of all patients and 100% of those with extrathoracic metastases. The dynamics of the EGFR mutation load predicted response in 93% and progression in 89% of cases well in advance of radiologic evaluation. Progression-free survival for patients in whom ctDNA was not detected in plasma during treatment was significantly longer than for those in whom ctDNA remained detectable (295 vs. 55 days; hazard ratio, 17.1; P < .001). ConclusionThe detection of EGFR mutations in ctDNA showed good correlation with that in tumor biopsy and predicted tumor response and progression in most patients. The liquid biopsy for ctDNA-based assessment of EGFR mutations is a reliable technique for diagnosis and follow-up in patients with EGFR-mutant lung adenocarcinoma in routine clinical practice.

Analysis of EGFR mutation status in tissue and plasma for predicting response to EGFR-TKIs in advanced non-small-cell lung cancer.

The detection of mutations in the epidermal growth factor receptor (EGFR) gene in tumor tissues has been established as the gold standard for predicting the efficacy of treatment with EGFR-tyrosine kinase inhibitors (EGFR-TKIs) in advanced non-small-cell lung cancer (NSCLC). The current study aimed to investigate whether the presence of co-existing EGFR mutations in tumor tissue and in cell-free tumor DNA (ctDNA) in the plasma predicts a more favorable outcome of EGFR-TKI treatment in advanced NSCLC. A total of 287 NSCLC patients who had undergone EGFR-TKI treatment were enrolled and stratified into four subgroups: Wild-type EGFR in plasma and tissue specimens (B-/T-); mutated EGFR in plasma and tissue specimens (B+/T+); mutated EGFR in only in plasma samples (B+/T-); or mutated EGFR in only tissue specimens (B-/T+). EGFR mutations were tested using denaturing high-performance liquid chromatography and confirmed by amplification-refractory mutation system analysis. Of the 287 patients, 101 had mutations in both tissue and plasma samples and 103 had mutation in either tissue (n=65) or plasma (n=38). The median progression-free survival (mPFS) times were 9.2 and 2.0 months in the B+/T+ and B-/T- groups, respectively. The mPFS times were 7.9 months in the B-/T+ group and 11.9 months in the B+/T-group (P=0.001). Among the 187 patients with available pre-EGFR-TKI plasma samples, 70 received first-line EGFR-TKI treatment, and the mPFS in the B+/T+ group was longer than in the B-/T+ or B+/T- groups (18.8 vs. 9.4 vs. 6.9 months; P=0.003). In second-line setting of EGFR-TKI therapy, the groups of patients with EGFR mutation in ctDNA, regardless of the mutation status in the tissues, exhibited longer mPFS times compared with the B-/T+ group (10.0 vs. 5.8 months; P=0.044). The results suggest that co-existence of EGFR mutations in tissue and ctDNA predict longer PFS times for NSCLC patients who receive first-line EGFR-TKI therapy. In addition, real-time detection in ctDNA is an excellent predictor for the efficacy of second- or higher line EGFR-TKI therapy.