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W4380422260 endingPage "505" @default.
W4380422260 startingPage "487" @default.
W4380422260 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." @default.
W4380422260 created "2023-06-14" @default.
W4380422260 creator A5004270014 @default.
W4380422260 creator A5019404530 @default.
W4380422260 creator A5048834540 @default.
W4380422260 creator A5074772184 @default.
W4380422260 date "2023-04-01" @default.
W4380422260 modified "2023-09-27" @default.
W4380422260 title "Integrated bioinformatics and experimental validation reveal the role of JARID2 in ovarian cancer" @default.
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W4380422260 doi "https://doi.org/10.2217/epi-2023-0128" @default.
W4380422260 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37309591" @default.
W4380422260 hasPublicationYear "2023" @default.
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