Early Detection of Lung Cancer Using Small RNAs

Area of Science:

• Biochemistry
• Oncology
• Molecular Biology

Background:

• Lung cancer is the leading cause of cancer-related mortality globally.
• Current screening methods like low-dose computed tomography have limitations in adherence and implementation.
• Early detection significantly improves lung cancer survival rates.

Purpose of the Study:

• To develop and validate a blood-based test for early lung cancer detection.
• To identify a reliable biomarker for lung cancer screening in primary care settings.

Main Methods:

• Prospective recruitment of 1384 individuals eligible for lung cancer screening.
• Ultra-deep small RNA sequencing of stabilized whole blood samples.
• Development and validation of an 18-small RNA consensus signature (miLung) using logistic regression classifiers.

Main Results:

• The miLung signature achieved a median area under the curve (AUC) of 0.86 in the discovery cohort and 0.83 in the validation cohort.
• Diagnostic performance varied by stage, from 0.73 for stage I to 0.90 for stage IV.
• A tumor-shed ribosomal RNA fragment of the L1 stalk was identified as a key predictor, decreasing post-surgery.

Conclusions:

• A small RNA-based blood test demonstrates potential as a viable alternative to low-dose computed tomography screening.
• The test shows promise for the early detection of smoking-associated lung cancer.
• Potential for home-based sample collection using dried blood spots was indicated.