SPARC - Screening for Lung Cancer With Platelets Via an AI-enabled RNA-based Classifier

The purpose of this study is to test whether combining a unique analytical approach with changes in platelet RNA expression accurately diagnoses lung cancer. Using retrospective platelet transcriptomic data from 522 patients with non-small cell lung cancer (NSCLC, the most common type of lung cancer), an approach that appears to accurately classify lung cancer has been developed. The study will build upon these retrospective analyses to prospectively recruit patients with newly diagnosed lung cancer, obtain platelet RNA samples from whole blood, and perform validation analyses. This research will also test whether this approach accurately distinguishes benign from malignant lung nodules.

NCT Number	NCT07460440
Lead Sponsor	University of Utah Collaborators: United States Department of Defense
Conditions	Lung Cancer, Lung Nodule
Enrollment	240 participants
Start Date	2026-06
Primary Completion	2028-06 (estimated)
Study Completion	2028-06 (estimated)
Updated on ClinicalTrials.gov	2026-05-15