Objective: The relationship between oral squamous cell carcinoma (OSCC) and Corneodesmosin (CDSN) remains unclear. This study aims to explore the correlation between CDSN and the prognosis and survival time of patients with OSCC. Methods: Bioinformatics were used to identify the hub role of CDSN in the OSCC. A total of 200 patients with OSCC were recruited. Clinical and follow-up data were recorded, and the expression level of CDSN was detected. Pearson chi-square test and Spearman correlation coefficient were used to analyze the relationship between prognosis and related parameters in patients with OSCC. Univariate and multivariate Logistic regression and Cox proportional risk regression were applied for further analysis, and receiver operating characteristic curve and survival curve of subjects were plotted. Results: CDSN was identified as the most significant hub gene of the OSCC by the cytoHubba. By the comparative toxicogenomics database (CTD) analysis, there was strong relationship between the CDSN and mouth neoplasms, head and neck neoplasms, squamous cell carcinoma of head and neck. The OSCC patients with low expression level of CDSN have poor overall survival compared with the high expression level of CDSN (HR = 0.75, 95% confidence interval [95%CI]: 0.57-0.98, P = .036). Spearman correlation coefficient analysis showed that CDSN expression level was significantly correlated with prognosis (ρ = -0.528, P < .001). Multivariate Logistic regression analysis showed that poor prognosis (odds ratio [OR] = 0.096, 95%CI: 0.049-0.189, P < .001) was significantly associated with low expression of CDSN. Cox regression analysis showed that the survival time of OSCC patients was shorter when CDSN expression was low (HR = 0.588, 95%CI: 0.420-0.823, P = .002). Strong predictive value of CDSN for the OSCC survival time was obtained by the biological process (BP)-neural network and support vector machine (SVM). Conclusion: CDSN was significantly correlated with OSCC, and the shorter the survival time of patients with OSCC was, the worse the prognosis was.

Oral squamous cell carcinoma is a malignant tumor that occurs in the oral cavity, with poor prognosis and easy recurrence. However, the relationship between MKI67 and oral squamous cell carcinoma remains unclear. The oral squamous cell carcinoma datasets GSE138206, GSE146483 and GSE184616 were downloaded from the gene expression omnibus database, and the differentially expressed genes (DEGs) were screened. The protein-protein interaction network was constructed and analyzed by search tool for the retrieval of interacting genes database and Cytoscape software. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) were used for functional enrichment analysis. GO and KEGG analyses were performed on the whole genome, as formulated by gene set enrichment analysis. comparative toxicogenomics database was used to identify the diseases most associated with the core genes. TargetScan was used to screen miRNA regulating central DEGs. A total of 1472 DEGs were identified. GO analysis showed that the differentially expressed genes were mainly enriched in the tissues of extracellular matrix, type i interferon signaling pathway, human papillomavirus infection, adhesion spot, hepatitis C and ECM-receptor interaction. Enrichment items were similar to GO and KEGG enrichment items of differentially expressed genes. 10 core genes were obtained, and their expression was different between oral squamous cell carcinoma and normal tissue samples. MKI67 is highly expressed in oral squamous cell carcinoma and may be an oncogene in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is a malignant tumor occurring in the oral cavity. However, the molecular mechanism of OSCC is not clear. Bioinformatics was used to screen and identify role of collagen type X1 alpha 1 (COL11A1) on OSCC. 200 patients with OSCC were recruited. Clinical and follow-up data were recorded and COL11A1 expression levels were tested. Pearson chi-square test and Spearman correlation coefficient were used to analyze relationship between prognosis and related parameters in patients with OSCC. Univariate and multivariate Logistic regression, univariate and multivariate Cox proportional risk regression were used for further analysis, survival curve was drawn. Through bioinformatics analysis, OSCC patients with higher expression of COL11A1 have poor overall survival compare with OSCC patients with lower expression of COL11A1 (hazard ratios [HR] = 1.32, P = .047). Pearson chi-square test showed that age (P = .011), tumor grade (P = .023), COL11A1 (P < .001) was significantly correlated with prognosis of OSCC. Univariate Logistic regression analysis showed age (odds ratio [OR] = 2.102, 95% confidence intervals [95%CI]: 1.180-3.746, P = .012), tumor grade (OR = 1.919, 95%CI: 1.093-3.372, P = .023) and COL11A1 (OR = 12.775, 95%CI: 6.509-25.071, P < .001). Multivariate Logistic regression analysis showed that COL11A1 (OR = 12.066, 95%CI: 6.042-24.096, P < .001) was significantly associated with prognosis of patients with OSCC. Univariate Cox regression analysis showed that age (HR = 1.592, 95%CI: 1.150-2.205, P = .005), tumor grade (HR = 1.460, 95%CI: 1.067-1.999, P = .018) and COL11A1 (HR = 1.848, 95%CI: 1.340-2.548, P < .001) were significantly correlated with survival time of OSCC patients. Multivariate Cox regression analysis showed that tumor grade (HR = 1.466, 95%CI: 1.064-2.020, P = .019) and COL11A1 (HR = 1.645, 95%CI: 1.164-2.325, P = .005) were significantly correlated with survival time of OSCC patients. COL11A1 is significantly correlated with occurrence of OSCC. When COL11A1 is highly expressed, prognosis of patients with OSCC is worse and the survival time is shorter.Abbreviations: 95%CI = 95% confidence intervals, COL11A1 = collagen type X1 alpha 1, DEGs = differently expressed genes, GO = gene body, GSEA = gene set enrichment analysis, HRs = hazard ratios, OR = odds ratio, OSCC = oral squamous cell carcinoma, SVM = support vector machine.

Background Oral squamous cell carcinoma (OSCC) is a malignant tumor of epithelial origin. Explore correlation between COL11A1 and prognosis of OSCC, provide a new direction for treatment and prognosis of patients. Methods Bioinformatics was used to screen and identify role of COL11A1 on OSCC. 200 patients with oral squamous cell carcinoma were recruited. Clinical and follow-up data were recorded and COL11A1 expression levels were tested. Pearson chi-square test and Spearman correlation coefficient were used to analyze relationship between prognosis and related parameters in patients with oral squamous cell carcinoma. Univariate and multivariate Logistic regression, univariate and multivariate Cox proportional risk regression were used for further analysis, survival curve was drawn. Results Through bioinformatics analysis, OSCC patients with higher expression of COL11A1 have poor overall survival compare with OSCC patients with lower expression of COL11A1 (HR = 1.32, P = 0.047). Pearson chi-square test showed that age (P = 0.011), tumor grade (P = 0.023), COL11A1 (P < 0.001) was significantly correlated with prognosis of oral squamous cell carcinoma. Spearman correlation coefficient analysis showed that age (ρ = 0.179, P = 0.011), tumor grade (ρ = 0.161, P = 0.023), COL11A1 (ρ = 0.561, P < 0.001) were significantly correlated with prognosis of patients with oral squamous cell carcinoma. Univariate Logistic regression analysis showed age (OR = 2.102, 95%CI: 1.180–3.746, P = 0.012), tumor grade (OR = 1.919, 95%CI: 1.093–3.372, P = 0.023) and COL11A1 (OR = 12.775, 95%CI: 6.509–25.071, P < 0.001). Multivariate Logistic regression analysis showed that COL11A1 (OR = 12.066, 95%CI: 6.042–24.096, P < 0.001) was significantly associated with prognosis of patients with oral squamous cell carcinoma. Univariate Cox regression analysis showed that age (HR = 1.592, 95%CI: 1.150–2.205, P = 0.005), tumor grade (HR = 1.460, 95%CI: 1.067–1.999, P = 0.018) and COL11A1 (HR = 1.848, 95%CI: 1.340–2.548, P < 0.001) were significantly correlated with survival time of oral squamous cell carcinoma patients. Multivariate Cox regression analysis showed that tumor grade (HR = 1.466, 95%CI: 1.064–2.020, P = 0.019) and COL11A1 (HR = 1.645, 95%CI: 1.164–2.325, P = 0.005) were significantly correlated with survival time of oral squamous cell carcinoma patients. Conclusion COL11A1 is significantly correlated with occurrence of oral squamous cell carcinoma.