Jann, Henning

Abstract Purpose: Gastroenteropancreatic neuroendocrine tumors (GEP-NET) are relatively indolent but can be more aggressive. The current recommendations for using serum chromogranin A (CgA) for patients with GEP-NET are equivocal. This study was designed to validate an automated CgA immunofluorescence assay for monitoring disease progression in patients with GEP-NET. Patients and Methods: A prospective, multicenter, blinded observational study was designed to validate an automated CgA immunofluorescence assay for monitoring disease progression in patients with GEP-NET. Tumor progression was evaluated with RECIST 1.1 by CT/MRI. An increase ≥50% above the prior CgA concentration to a value >100 ng/mL in the following CgA concentration was considered positive. Results: A total of 153 patients with GEP-NET were enrolled. Using the prespecified cut-off of CgA change for tumor progression, specificity was 93.4% (95% confidence interval, 90.4%–95.5%; P < 0.001), sensitivity 34.4% (25.6%–44.3%), positive predictive value 57.9% (45.0–69.8), negative predictive value 84.3% (80.5–87.6), and AUC 0.73 (0.67–0.79). Conclusions: Changes in serial measurements of serum CgA had a favorable specificity and negative predictive value, making this test a useful adjunct to routine radiographic monitoring.

e16242 Background: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare cancers with highly heterogeneous growth rates, yielding very broad ranges of radiographic imaging intervals in standard guidelines, with a multitude of risk for patients. Better tools are needed to reduce risks for these patients. Chromogranin A (CgA) is released by GEP-NET cells and has been associated with increased tumor burden. The European Neuroendocrine Tumor Society (ENETS) considers CgA to be the most practical and useful general serum tumor marker in patients with NETs. However, clinical utility has been limited by the lack of prospective validation studies and by different sensitivity of CgA according to NET tumor type and volume. Accordingly, expert consensus guidelines have offered varying advice regarding the use of CgA to practicing clinicians. The aim was to evaluate the performance of the B·R·A·H·M·S CgA II KRYPTOR immunoassay to monitor the course of disease in patients with well-differentiated GEP-NETs (grade 1 and grade 2). This is the first prospective validation of a clinical algorithm for the interpretation of CgA values in patients with advanced GEP-NETs. Methods: This prospective, multi-center, observational study was designed to validate the performance of the B·R·A·H·M·S CgA II KRYPTOR assay in monitoring disease progression in a defined population of GEP-NET patients with minimal confounding from end organ dysfunction or concomitant medications (e.g. PPIs). Patients were followed for up to 36 months including the evaluation of tumor burden with RECIST 1.1 categorization by imaging (CT/MRI scans). A clinical cut-off for changes in CgA levels over time to indicate the risk that a tumor progression occurred was derived from a retrospective, bicentric observational pilot study. A change in CgA levels between visits was considered positive, if the CgA concentration increased by more than 50% to an absolute value of >100 ng/ml. Results: A total of 175 adult patients were enrolled, and 153 patients had measurable disease at baseline and ≥1 follow-up visit. Using the cut-off for CgA increase defined above resulted in a sensitivity of 34.4% (95%-CI: 25.6% - 44.3%, p < 0.001) and a specificity of 93.4% (95%-CI: 90.4% – 95.5%, p < 0.001). Positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+) and negative likelihood ratio (LR-) to diagnose whether a tumor progression occurred according RECIST 1.1 criteria were 57.9% (95% CI: 45.0-69.8), 84.3% (95% CI: 80.5-87.6), 5.20 (95% CI: 3.23-8.36), and 0.70 (95% CI: 0.61-0.81), respectively. The AUC was estimated at 0.731 (95% CI: 0.670-0.793). Conclusions: B·R·A·H·M·S CgA II KRYPTOR can be used in conjunction with other clinical methods as an aid in monitoring of disease progression during the course of disease and treatment in patients with gastroentero-pancreatic neuroendocrine tumors (GEP-NETs, grade 1 and grade 2).