We performed univariate logistic regression analysis to select candidate variables to predict the aggressiveness of NF-PanNENs, and age (p = 0.09), presence of symptoms (p < 0.001), tumor size (p < 0.001), tumor vascularity (p < 0.001), cystic degeneration/necrosis (p = 0.002), tumor calcification (p = 0.10), MPD or CBD involvement (p = 0.003), abnormal uptake on 18F-FDG PET/CT (p = 0.003), and EUS-FNA Ki-67 LI ≥ 3% (p < 0.001) and ≥ 5% (p < 0.001) revealed p value of <0.2 (Table 3). The gene discussed is MKI67; the disease is neoplasm.