Up-regulation of oxidized low-density lipoprotein receptor 1 correlates with decreased miR-106b-5p, miR-93-5p, miR-3129-5p, miR-199b-3p, and miR-4465, higher recurrence rate, and poor prognosis in ovarian cancer.

Abstract

MicroRNAs (miRNAs) are widely involved in cell metabolism, and their abnormal expression is involved in the regulation of ovarian cancer development, metastasis, and recurrence. The current study aimed to explore the potential mechanism and prognostic value of miRNAs related to the targeted regulation of oxidized low-density lipoprotein receptor 1 (OLR1) expression in ovarian cancer. A prospective study was conducted including 132 ovarian cancer patients. Patients were followed up for 36 months. The dual-luciferase reporter gene detection was used to verify the targeting relationship between miRNA and OLR1. Cell Counting Kit-8 assay, flow cytometric analysis, transwell migration, and invasion assays were performed to address the malignant biological behaviors of ovarian cancer cells. OLR1 protein and gene expression levels were significantly higher in ovarian cancer tissues and cell lines than in adjacent tissues and normal ovarian epithelial cells. OLR1 depletion facilitated apoptosis and impeded cell proliferation, migration, and invasion in ovarian cancer. Predictive software and dual-luciferase reporter assays showed that miR-106b-5p, miR-93-5p, miR-3129-5p, miR-199b-3p, and miR-4465 targeted OLR1 expression. Functionally, the introduction of miR-106b-5p, miR-93-5p, miR-3129-5p, miR-199b-3p, and miR-4465 mimics abrogated the aggressive phenotype in ovarian cancer cells. Lastly, compared with adjacent tissues, the levels of miR-106b-5p, miR-93-5p, miR-3129-5p, miR-199b-3p, and miR-4465 in cancer tissues were significantly lower (P<0.001). Compared with high miR-106b-5p, high miR-93-5p, high miR-3129-5p, high miR-199b-3p, high miR-4465 group and low OLR1 group, the low miR-106b-5p, low miR-93-5p, low miR-3129-5p, low miR-199b-3p, low miR-4465 group and high OLR1 group have significantly higher recurrence (all P<0.05) and higher mortality (all P<0.05). The identification value of recurrence assessment model [Y = 4.267+0.336*(miR-106b-5p)+0.168*(miR-93-5p)+1.847*(miR-3129-5p)+2.119*(miR-199b-3p)+0.872*(miR-4465)-3.408*(OLR1)] was high with an AUC of 0.918. The prognosis assessment model [Y = 3.914+0.143*(miR-106b-5p)+0.102*(miR-93-5p)+0.115*(miR-3129-5p)+1.369*(miR-199b-3p)+0.186*(miR-4465)-0.334*(OLR1)] also had high identification value with an AUC of 0.934. The combined detection of miR-106b-5p, miR-93-5p, miR-3129-5p, miR-199b-3p, miR-4465, and OLR1 is expected to become a molecular biomarker for the long-term prognostic assessment of ovarian cancer.