NCT07460440

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

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 240 (estimated)
• Sponsor: University of Utah · Academic / Other
• Sex: All
• Age: 21 Years
• Healthy volunteers: Accepted

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.

Conditions

• Lung Cancer
• Lung Nodule

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	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.

Timeline

• Start date: 2026-03-01
• Primary completion: 2028-03-01
• Completion: 2028-03-01
• First posted: 2026-03-10
• Last updated: 2026-03-10

Locations

1 site across 1 country: United States