Estimating and Validating Diagnostic Cancer Biomarker IVD Test Panel Characteristics and Clinical Utility for Indeterminant Pulmonary Nodule Risk Stratification in Patients with Lung Cancer
Technology of Interest
Lung Cancer Diagnostic
Vanderbilt, Lahey, OneFlorida
This Test-Case assesses the economic feasibility, clinical utility, and medical validity of a blood-based in vitro diagnostic device (IVD) biomarker test panel (Class II/Class III) for risk stratification of suspicious lung nodules using Real-World Data (RWD). The non-invasive blood-based IVD test panel is being developed to stratify indeterminate pulmonary nodules (IPNs) into high or low risk, with the aim to diagnose lung cancer earlier while minimizing harm from unnecessary invasive tests. Patients with high-risk IPNs (>80% cancer risk) would undergo invasive testing, while low-risk patients (<15%) would be followed only with low dose-CT scan.
Currently, there are no U.S. Food and Drug Administration (FDA) approved, cleared, or authorized blood tests to diagnose lung cancer in patients with IPNs, nor is there an understanding of the clinical utility necessary for a test to provide meaningful impact in the healthcare community. Thus, this project is using a combination of RWD from electronic health records (EHR) within the NESTcc Data Network and simulation to:
Identify individuals through EHRs who have IPNs suspicious for lung cancer
Identify the patient and nodule characteristics necessary to estimate lung cancer risk, and
Determine the clinical effort necessary to achieve a lung cancer diagnosis.
To translate these results into device development, this project is performing a validation study in a small retrospective review of a prospectively collected sample set of IPN nodules from patients with suspicious IPNs. In partnering with NESTcc, the three collaborators contribute large cohorts who have diversity in their geography and lung cancer risks, as well as internationally recognized local expertise in lung cancer biomarker validation. This diversity allows for robust discovery and validation of our proposed early lung cancer biomarker and is unique to the NESTcc collaborative.