Prospective Study of Chromogranin A as a Predictor of Progression in Patients with Pancreatic, Small-Intestinal, and Unknown Primary Neuroendocrine Tumors

Abstract

Background: Retrospective studies are conflicting but most of them report that an increase in plasma chromogranin A (CgA) predicts tumor progression in neuroendocrine tumor (NET) patients. Prospectively, we investigated if a change in plasma CgA is associated with tumor burden changes in NET patients with disseminated disease. Methods: We included 239 patients treated at 5 NET centers from December 2010 to December 2013. CgA was measured within 6 weeks of a CT or MRI in a patient undergoing at least 2 scan examinations performed over a period of 1–24 months. In a post hoc analysis, CgA measured 3–6 months prior to the CT/MRI was analyzed. Changes in tumor size were evaluated by RECIST1.1. A 25% change in CgA was chosen to discriminate between increased, decreased, or unchanged levels. Results: In 671 events (2 CT/MRI scans and 2 corresponding CgA measurements), we found a weak positive correlation between the RECIST 1.1 responses and change in plasma CgA from baseline (Spearman’s rank correlation coefficient: 0.15; p < 0.05). Of 304 events in the post hoc analysis, 58 showed progression, 228 showed stable disease, and 18 showed regression, with a median change in CgA of 19% (IQR: 57 to –20%), –12% (23 to –38%), and –73% (–55 to –83%), respectively. The correlation coefficient for all sites was 0.17 (p = 0.003), and it was 0.16 (p = 0.07), 0.18 (p = 0.04), and 0.20 (p = 0.21) for small-intestinal (n = 137), pancreatic (n = 123), and unknown primary NET (n = 40), respectively. In the 58 patients showing tumor progression, the sensitivity and specificity of an increased CgA concentration were 36 and 82%, respectively, with positive and negative predictive values of 32 and 85%. Conclusions: In this prospective study of gastroenteropancreatic NET patients, we observed only a weak association between a change in plasma CgA and changes in tumor burden. CgA as a single biomarker was thus inadequate to predict tumor progression.