Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis

Area of Science:

• Oncology
• Molecular Diagnostics
• Biomarker Discovery

Background:

• A previously identified 12-microRNA (miRNA) panel aids in early non-small cell lung cancer (NSCLC) diagnosis.
• The diagnostic value of this miRNA panel was validated and compared against traditional tumor markers and radiological diagnosis.
• A nomogram was developed to predict NSCLC risk based on miRNA panel results.

Purpose of the Study:

• To validate the diagnostic performance of a 12-miRNA panel for early NSCLC detection.
• To compare the diagnostic accuracy of the miRNA panel with conventional methods.
• To develop and validate a nomogram for NSCLC risk prediction using miRNA data.

Main Methods:

• Eighty-two participants with pulmonary nodules underwent miRNA quantification via RT-PCR.
• Patients were divided into training and validation groups for analysis and cutoff determination.
• A nomogram was constructed integrating miRNA expression and clinical factors.

Main Results:

• The 12-miRNA panel showed significantly higher expression in NSCLC patients versus benign cases.
• The panel achieved high specificity (96.4%) and positive predictive value (95.8%) in the validation group.
• Sensitivity was 42.6%, increasing to 63.6% for nodules >2 cm; the nomogram showed good calibration.

Conclusions:

• The 12-miRNA panel holds significant clinical value for the early detection of NSCLC.
• The validated nomogram can assist clinicians in making informed treatment recommendations.
• This miRNA-based approach offers an improved diagnostic strategy for NSCLC.