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• W2331936121 abstract "Gap juctions are transmembrane communication channels known to be involved in the control of cell proliferation by mediating the exchange of ions and small molecules between cells. Gap junctions are composed of connexon hemichannels made up of 6 connexin proteins, which abnormal expression and functions have been linked to tumor progression and poorer prognosis. Here, we studied the prognostic impact of the most prevalent connexin isotype, connexin 43 (Cx43) in head and neck squamous cell carcinomas (HNSCC). Tissue microarrays made from tumor samples of 90 HNSCC patients were immunostained for Cx43 and cell cycle regulation-related biomarkers including p53, Ki67, p16, aurora A, geminin, and p21 proteins. Scoring and histopathologic evaluation were performed in digital slides. A 4-tier scoring distinguishing the percentage of positively stained tumor cells was used including score 1: <5%, score 2: 6% to 20%, score 3: 21% to 60%, and score 4: >60%. For statistics, Kaplan-Meier curves with log-rank tests, Cox-regression, and Pearson χ/Fisher exact tests were used.A significant positive correlation was found between Cx43 expression and disease-specific survival of patients (P=0.004). The rate of p21 protein-positive tumor cells also proved to be a significant positive prognostic marker (P=0.014). Cx43 levels also showed a significant positive correlation with p53 expression (P=0.036). However, there was no statistical association between Cx43 levels and the rest of the markers tested neither with T, N, or M stage.In conclusion, our data suggest that reduced Cx43 expression and low p21 protein levels may have a significant negative impact on HNSCC prognosis." @default.
• W2331936121 created "2016-06-24" @default.
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• W2331936121 date "2016-08-01" @default.
• W2331936121 modified "2023-09-27" @default.
• W2331936121 title "The Potential Prognostic Value of Connexin 43 Expression in Head and Neck Squamous Cell Carcinomas" @default.
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• W2331936121 doi "https://doi.org/10.1097/pai.0000000000000212" @default.
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