作者: Simin Li , Xiangqiong Liu , Yu Zhou , Aneesha Acharya , Vuk Savkovic
DOI: 10.1016/J.ORALONCOLOGY.2018.09.029
关键词:
摘要: Abstract Objectives To analyze bioinformatic datasets for detecting genetic and epigenetic mechanisms shared by chronic periodontitis (CP) oral squamous cell carcinoma (OSCC). Materials methods Datasets from GEO TCGA databases reporting mRNAs, miRNAs or methylation expression in human CP OSCC tissues were analyzed. Differential expression, functional enrichment protein-protein interaction (PPI) network analyses performed. Differentially expressed (DEmiRNAs) genes (DEG) determined. DEmiRNA-target DEmiRNA-DEG networks constructed. Directly indirectly interacting cross-talk screened, their prediction accuracy association with prognosis was Results 3 DE-miRNAs (miR-375, miR-3609 miR-3652) both critically regulated most DEGs. Among 12 directly genes, NCAPH significantly related the of OSCC. NR2F2 had highest differential 4 (FN1, MPPED1, NDEL1, NR2F2) differentially CP, NDEL1) also OSCC, (CDCA8, HIST1H3J, RAD51) to its prognosis. Significant pathways involved included: chemokine receptors, class I PI3K signaling events, epithelial-to-mesenchymal transition events VEGFR1 VEGFR2, EGF receptor (ErbB1). Conclusion Bioinformatic analysis available implicated 1 gene (NCAPH), (NCAPH, NR2F2, FN1, MPPED1) (hsa-miR-375, as patterns between