Objective To investigate the expression level of serum miR-486-5p in patients with pancreatic cancer and the value of serum miR-486-5p combined with carbohydrate antigen 19-9 (CA19-9) in predicting the resectability of pancreatic cancer. Methods A total of 60 patients who were diagnosed with pancreatic cancer in Qingdao Municipal Hospital from September 2018 to December 2020 were enrolled, among whom 32 patients had resectable or borderline resectable pancreatic cancer (operable group) and 28 had unresectable pancreatic cancer (non-operable group), and a benign pancreatic disease group with 30 patients and a healthy control group with 44 individuals were also established. Quantitative real-time PCR was used to measure the serum level of miR-486-5p in each group, and the relative expression level of miR-486-5p was calculated to analyze its association with the clinical features of pancreatic cancer, including age, sex, tumor location, tumor size, TNM stage, lymphatic metastasis, and distant metastasis. The Mann-Whitney U test was used for comparison of non-normally distributed continuous variables between two groups, and the chi-square test was used for comparison of categorical variables. The receiver operating characteristic (ROC) curve was plotted, and a binary logistic regression analysis was used to calculate the combined predictive value and then investigate the value of serum miR-486-5p combined with CA19-9 in predicting the resectability of pancreatic cancer. Results The relative expression level of serum miR-486-5p in the operable group [2.16 (1.38~3.30)] and the non-operable group [4.65 (2.80~9.90)] was significantly higher than that in the benign pancreatic disease group [1.01 (0.52~1.53)] and the healthy control group [0.99 (0.24~1.01)] (all P Conclusion MiR-486-5p can be used as a serum biomarker for the diagnosis of pancreatic cancer, and miR-486-5p combined with CA19-9 has a better clinical value than CA19-9 alone in predicting the resectability of pancreatic cancer in the patients with benign pancreatic diseases and the healthy population.
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