Identification of MEG8/miR‐378d/SOBP axis as a novel regulatory network and associated with immune infiltrates in ovarian carcinoma by integrated bioinformatics analysis

Background To investigate the potential molecular mechanism of ovarian cancer (OC) evolution and immunological correlation using integrated bioinformatics analysis. Methods Data from Gene Expression Omnibus was used to gain differentially expressed genes (DEGs). Ontology Kyoto Encyclopedia Genome pathway analysis were completed by utilizing Database for Annotation, Visualization, Integrated Discovery. After multiple validations via The Cancer Atlas (TCGA), Genotype-Tissue (GTEx) projects, Human Protein Atlas, Kaplan–Meier (KM) plotter, immune logical relationships key gene SOBP evaluated based on Tumor Immune Estimation Resource, Set Enrichment Analysis (GSEA) software. Finally, lncRNAs-miRNAs-mRNAs subnetwork predicted starBase, TargetScan, miRBD, LncBase, individually. Correlation expression prognosis mRNAs, miRNAs, lncRNAs confirmed TCGA, Profiling Interactive 2 (GEPIA 2), KM. Results A total 192 shared DEGs discovered four data sets, including 125 upregulated 67 downregulated genes. Functional enrichment presented that they mainly enriched in cartilage development, PI3 K-Akt signaling pathway. Lower independent prognostic factor inferior OC patients. downregulation enhanced infiltration levels B cells, CD8+ T Macrophage, Neutrophil, Dendritic cells. GSEA also disclosed low showed a significantly associated with activation various immune-related pathways. we first reported MEG8/miR-378d/SOBP axis linked development through regulating cytokines Conclusions Our study establishes novel OC, triple probably affects progression