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.
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Sensitivity
Timeframe: up to one day after study enrollment
Specificity
Timeframe: up to one day after study enrollment
Positive predictive value (PPV)
Timeframe: up to one day after study enrollment
Negative Predictive Value (NPV)
Timeframe: up to one day after study enrollment