Assessment of NETest Clinical Utility in a U.S. Registry-Based Study

Abstract

Abstract Background The clinical relevance of molecular biomarkers in oncology management has been recognized in breast and lung cancers. We evaluated a blood-based multigene assay for management of neuroendocrine tumors (NETs) in a real-world study (U.S. registry NCT02270567). Diagnostic accuracy and relationship to clinical disease status in two cohorts (treated and watch-and-wait) were evaluated. Materials and Methods Patients with NETs (n = 100) were followed for 6–12 months. Patients’ primary tumors were gastroenteropancreatic (68%), lung 20%, and of unknown origin (12%). Characteristics included well-differentiated, low-grade tumors (97%), stage IV disease (96%); treatment with surgery (70%); and drug treatment (56%). NETest was measured at each visit and disease status determined by RECIST. Scores categorized as low (NETest 14%–40%) or high (≥80%) defined disease as stable or progressive. Multivariate analyses determined the strength of the association with progression-free survival (PFS). Results NETest diagnostic accuracy was 96% and concordant (95%) with image-demonstrable disease. Scores were reproducible (97%) and concordant with clinical status (98%). The NETest was the only feature linked to PFS (odds ratio, 6.1; p < .0001). High NETest correlated with progressive disease (81%; median PFS, 6 months), and low NETest correlated with stable disease (87%; median PFS, not reached). In the watch-and-wait cohort, low NETest was concordant with stable disease in 100% of patients, and high NETest was associated with management changes in 83% of patients. In the treated cohort, all low NETest patients (100%) remained stable. A high NETest was linked to intervention and treatment stabilization (100%). Use of NETest was associated with reduced imaging (biannual to annual) in 36%–38% of patients. Conclusion Blood NETest is an accurate diagnostic and can be of use in monitoring disease status and facilitating management change in both watch-and-wait and treatment cohorts.