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

Starting soon

Conditions studied: Lung Cancer, Lung Nodule

In brief

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 facts

Study ID
NCT07460440
Run by
University of Utah
People needed
240
Starts
2026-06-01
Expected to finish
2028-06-01
Last updated by the study team
2026-05-15

Who can join

Age: 21 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.