Non-invasive detection of hTERT mRNA in deep-cough swabs for early diagnosis of lung cancer
Abstract
Introduction: Lung cancer remains the leading cause of cancer-related mortality globally, with current screening methods like low-dose computed tomography (LDCT) limited by radiation risks and false negatives. Non-invasive diagnostic tools are urgently needed. Methods: We developed a deep-cough swab protocol coupled with rapid RNA extraction and direct RT-qPCR to detect human telomerase reverse transcriptase (hTERT) mRNA in airway secretions. The assay was validated using exosomes from lung cancer cell lines and applied to 300 participants (106 early-stage lung cancer patients, 142 benign pulmonary nodule cases, and 52 healthy controls). Results: The assay achieved 90.6% sensitivity (95% CI: 85.1%-96.2%) for stage IA lung cancer and 95.9% specificity (95% CI: 93.1%-98.7%) in non-cancer controls. ROC analysis demonstrated excellent discrimination (AUC = 0.97, p < 0.0001). Sensitivity was consistent across histological subtypes and unaffected by smoking status (p > 0.05). Conclusion: Deep-cough swab detection of hTERT mRNA provides a clinically viable, non-invasive method for auxiliary diagnosis of early-stage lung cancer, potentially complementing CT screening for pulmonary nodule management.
Fields of Study & Subjects
Lung Cancer Diagnosis and Treatment
Cancer Genomics and Diagnostics
Lung Cancer Research Studies
Publication details
- Journal / source
- Frontiers in Molecular Biosciences
- Volume
- 13
- Pages
- 1798729–1798729
- Publication date
- 5 March 2026
- Language
- EN