Ontology highlight
ABSTRACT:
Methods: Patients undergoing resection for pancreatic neuroendocrine tumors (pNET) were selected from the eight institutions of the US Neuroendocrine Tumor Study Group database. Cox regression was used to identify pre-operative variables that predicted recurrence-free survival (RFS), and those with p
Results: In the entire cohort of 287 patients, median follow-up time was 37 months, and 5-year RFS was 73%. Cox regression analysis identified four variables for inclusion in the risk score: CgA >?5x ULN (HR 4.3, p =?0.01), tumor grade 2/3 (HR 3.7, p =?0.01), resection for recurrent disease (HR 6.2, p ?4 cm (HR 4.5, p =?0.1). Each variable was assigned 1 point. Risk-score testing in the unique validation cohort of 63 patients revealed a 95% negative predictive value for recurrence in patients with zero points.
Discussion: This simple pre-operative risk scoring system resulted in a high degree of specificity for identifying patients at low-risk for tumor recurrence. This test can be utilized pre-operatively to aid informed decision-making.
SUBMITTER: Fisher AV
PROVIDER: S-EPMC7723064 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract 20190118 4
<h4>Intro</h4>Chromogranin A (CgA) may be prognostic for patients with neuroendocrine tumors; however, the clinical utility of this test is unclear.<h4>Methods</h4>Patients undergoing resection for pancreatic neuroendocrine tumors (pNET) were selected from the eight institutions of the US Neuroendocrine Tumor Study Group database. Cox regression was used to identify pre-operative variables that predicted recurrence-free survival (RFS), and those with p < 0.1 were included in a risk score. The ri ...[more]