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pmid:35815280
Low Expression of miR-491-3p Is Correlated with Lymph Node Metastasis in Gastric Cancer.
Haiou Yu · Shuang Luo
Evidence-based complementary and alternative medicine : eCAM · 2022 doi:10.1155/2022/7807956
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Experiment
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Data
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Analysis
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Complete file
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In this study, we aim to investigate miR-491-3p expression in gastric cancer with or without lymph node metastasis (LNM).\nMethods: GSE173215 dataset from Gene Expression Omnibus (GEO) was used to measure miRNA expression from tissue samples of gastric cancer patients. Moreover, gastric tumor tissues (non-LNM: n = 78; LNM: n = 68) were obtained to detect the miR-491-3p expression. Receiver operating characteristic (ROC) curve and Kaplan-Meier (KM) survival analysis, as well as Cox regression analysis, were performed to reveal the role of miR-491-3p in diagnosis and prognosis of gastric cancer.\nResults: According to GSE173215 datasets (t = -11.25, adjust P value = 1.30E-06) and our clinical results (0.390 ± 0.193 vs. 0.562 ± 0.166, P < 0.005), the gastric cancer patients with LNM showed lower miR-491-3p expression than those without LNM, demonstrating a high diagnostic efficiency (sensitivity: 74.36%; specificity: 69.12%). In addition, both LNM and low miR-491-3p expression were correlated with the poor prognosis of gastric cancer. Furthermore, the LNM patient with low expression of miR-491-3p had the worse prognosis, but the non-LNM patient with high expression of miR-491-3p had the best prognosis. MiR-491-3p expression (HR = 0.003, 95%CI: 3.35E-04∼0.028) and LNM (HR = 2.326, 95%CI: 1.046∼5.173) were independent risk factors for gastric cancer.\nConclusion: Downregulated miR-491-3p expression was found in gastric cancer, being a high diagnostic efficiency and an independent risk factor for gastric cancer, especially in those having LNM.", "claims": [{"id": "claim-method", "statement": "The expressions of miRNAs detected using microarray assay (GSE173215 dataset from platform GPL25134) by Yu et al. revealed that LNM patients showed lower expressions of miR-491-3p, miR-6781-5p, and miR-3185 than non-LNM patients using GEO2R online software, especially miR-491-3p. 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