Serum microRNA-24-based nomogram predicts prognosis for patients with resected pancreatic cancer.

ABSTRACT: Pancreatic cancer (PCa) is one of the malignant tumors with an extremely poor prognosis. Rare biomarkers exist for predicting the outcomes of PCa patients. This study aimed to develop a nomogram model based on serum microRNA-24 (miR-24) and clinicopathological factors to predict overall survival (OS) and treatment response to conventional adjuvant chemotherapy (ACT) in patients with PCa. This retrospective study included 296 patients with PCa who underwent radical resection and were followed up every three months. The serum levels of miR-24 were analyzed with real- time polymerase chain reaction, and the clinicopathological information relevant to the patients was extracted from the medical center. By combining miR-24 with some clinicopathological factors associated with prognosis, a nomog

SUBMITTER: Huang J 

PROVIDER: S-EPMC11891307 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature