Online calculator for predicting the risk of malignancy in patients with pancreatic cystic neoplasms: A multicenter, retrospective study.

Background: Efficient and practical methods for predicting the risk of malignancy in patients with pancreatic cystic neoplasms (PCNs) are lacking.

Aim: To establish a nomogram-based online calculator for predicting the risk of malignancy in patients with PCNs.

Methods: In this study, the clinicopathological data of target patients in three medical centers were analyzed.

Identification of RORγ as a favorable biomarker for colon cancer.

Objective: To evaluate the expression of retinoid-related orphan receptor gamma (RORγ) and its potential role in the prognosis of colon cancer.

Methods: The Cancer Genome Atlas and GSE117606 were used to evaluate to RORγ levels in colon cancer, and real-time quantitative polymerase chain reaction was applied for validation. UALCAN and MEXPRESS were used to analyze the associations of RORγ expression with clinical parameters.