Work

Biomarker and Prognostic Value of Super-ARMS Detection for EGFR Mutation in Advanced NSCLC

Year: 2025

Type: article

Abstract: Background: ctDNA is a non-invasive and convenient method for detecting EGFR mutations in non-small cell lung cancer (NSCLC). However, its sensitivity is lower than that of tissue-based testing. To enhance ctDNA detection efficiency, we identified the patient population most suitable for ctDNA testing, assessed the relationship between ctDNA and tumor markers, and examined the clinical significance of ctDNA in medical practice. Methods: A single-center retrospective study was conducted, including 135 patients with NSCLC who underwent histological and liquid Super-ARMS tests. Of these, 92 patients with EGFR mutations detected in both tumor tissue and plasma were classified into the EGFR t+, p+ group, while 43 patients with EGFR mutations detected only in tumor tissue were classified into the EGFR t+, p− group. The clinical features and outcomes between these two groups were compared. Results: The positivity rate of Super-ARMS test was 68.1% (92/135). The presence of EGFR t+, p+ in the Super-ARMS test was significantly associated with pleural effusion, bone, liver, and multiple organ metastases. Compared to the EGFR t+, p+ group, the EGFR t+, p− group had a significantly better PFS ( P < 0.01). Carcinoembryonic antigen (CEA) levels demonstrated a strong predictive value for identifying plasma EGFR-mutated patients (AUC 0.828, sensitivity 68.8%, specificity 84.4%), while Maximum Standardized Uptake Value (SUV max ) also showed diagnostic value for plasma EGFR-mutated patients (AUC 0.78). Additionally, combination of TP53 and EGFR mutations in plasma provided improved risk stratification for PFS ( P < 0.001). Conclusion: Patients exhibiting metastasis, elevated levels of tumor markers and SUV max are more suitable for plasma EGFR mutation testing in clinical NSCLC management. Moreover, a positive plasma ctDNA test not only guides targeted therapy but also predicts a worse prognosis. Keywords: NSCLC, EGFR mutation, ctDNA, CEA, prognosis

Source: OncoTargets and Therapy

DOI: 10.2147/ott.s518837

Authors: Huicong Liu, Hui Li, Lisha Xiao, Yubiao Guo, Gengpeng Lin

Institutions: Sun Yat-sen University, The First Affiliated Hospital, Sun Yat-sen University

Language: English

Topic: Lung Cancer Treatments and Mutations

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,836