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MPDU1 rescue affects cell growth characteristics in vivo.Hematoxylin and Eosin (H&E) staining from xenograft tumors demonstrates changes in tumor growth patterns (top panel). Representative IHC of Kato III and Kato IIIM xenografts for CEACAM1, MPDU1, and Calnexin is also shown

MPDU1 rescue affects cell growth characteristics in vivo.Hematoxylin and Eosin (H&E) staining from xenograft tumors demonstrates changes in tumor growth patterns (top panel). Representative IHC of Kato III and Kato IIIM xenografts for CEACAM1, MPDU1, and Calnexin is also shown

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N-linked glycosylation (NLG) is a co-translational modification that is essential for the folding, stability, and trafficking of transmembrane (TM) and secretory glycoproteins. Efficient NLG requires the stepwise synthesis and en bloc transfer of a 14-sugar carbohydrate known as a lipid-linked oligosaccharide (LLO). The genetics of LLO biosynthesis...

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... Studies have shown that any abnormality in the cell cycle may cause chromosomal abnormalities and subsequently lead to cancer development [30][31][32]. Moreover, changes in intercellular adhesion can enhance cell migration and invasion ability, providing optimal conditions for tumor cell xenotransplantation [33][34][35]. ...
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PurposeThe purpose of the study is to identify potential key genes and pathways, using bioinformatics, underlying the potentially common molecular mechanisms between endometriosis (EMS) and ovarian cancer (OC).Methods Two datasets were collected from the Gene Expression Omnibus database, and the limma package identified common differentially expressed genes (DEGs) in the EMS and OC groups compared to controls. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, gene interaction network, and module analyses identified the enriched pathways associated with DEGs. A protein–protein interaction (PPI) network was then constructed, and the CytoHubba plugin of Cytoscape was used to calculate the degree of connectivity for proteins in the PPI network.ResultsA total of 571 overlapping DEGs were identified between EMS and OC (vs. controls). Enriched DEGs were associated with 36 gene ontology terms and 7 Kyoto Encyclopedia of Genes and Genomes pathways, which were mainly associated with deactivation of the p53 signaling pathway. The Kaplan–Meier plotter platform confirmed the expression of the identified hub genes, and survival analysis suggested that CCNB1, CCNB2, BUB1B, CCNA2, KIF2C, and TOP2A are associated with decreased survival and disease-free survival rates of OC.Conclusion The key pathways identified herein elucidate the possible mechanism by which EMS evolves into OC; further, the identified hub genes may serve as potential biomarkers to predict OC occurrence and prognosis.