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SPARC - Screening for Lung Cancer With Platelets Via an AI-enabled RNA-based Classifier
Sponsor: University of Utah
Summary
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.
Key Details
Gender
All
Age Range
21 Years - Any
Study Type
INTERVENTIONAL
Enrollment
240
Start Date
2026-03
Completion Date
2028-03
Last Updated
2026-03-10
Healthy Volunteers
Yes
Conditions
Interventions
Platelet RNA-based assay
Up to 20mL (the maximum blood volume collected) of whole blood will be collected by peripheral venipuncture by a site phlebotomist into sterile, 4mL EDTA-containing venipuncture tubes. The minimum whole blood collected will be 4mL.
Locations (1)
University of Utah
Salt Lake City, Utah, United States