Abstract
Aim: To develop novel prognostic markers for early detection and prognosis of ovarian cancer (OC). Materials & methods: We utilized bioinformatics analysis to identify and construct a prognostic model consisting of lncRNAs centered around JARID2 and explored the potential ceRNA network in OC. Cell functional experiments were conducted to validate the reliability of the ceRNA network and investigate the functional role of JARID2 in OC. Results: We constructed a nomogram composed of ten lncRNAs and identified the PKD1P6/miR-424-5p/JARID2 axis. Furthermore, our findings indicated that JARID2 promotes the proliferation of SKOV3 cells, suggesting its oncogenic role in OC. Conclusion: JARID2, potentially regulated by the PKD1P6/miR-424-5p/JARID2 axis, represents a potential novel biomarker for OC.
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