关键词: 计算生物学；, 宫颈肿瘤；, CD24；, 宫颈上皮内瘤样病变；, 预测

Abstract: Objective: To explore the role and clinical value of CD24 in the development of early cervical cancer. Methods: Differential gene analysis, gene selecting and clinical prognostic analysis are conducted through the TCGA portal. Immunohistochemistry was used to screen gene expression difference between patients with cervical lesion and early cervical cancer. Protein interaction relationship were analysis through string database. Protein interaction network was made and core genes were pick up by cytoscape. GO enrichment analysis and KEGG enrichment analysis were completed through R language. Results: According to the differential analysis of TCGA, there was a significant difference between the early cervical cancer group and normal group (P＜0.05). However, there was no significant difference between the early cervical group and vaginal parauterine infiltration group, the same as the early cervical group and the distant metastasis group(P＞0.05). The expression of CD24 gene could affect the overall survival of patients with cervical cancer (P＜0.05). The expressions of CD24 in cervical lesion group and early cervical cancer patients were postive and that in normal group was negative. There was a protein interaction network relationship between this gene expression and more than 20 groups of genes. The functions of these genes are mainly enriched in the signal positive regulation and proliferation, which are closely related to the regulation of PI3K-Akt and cancer signal pathway (P＜0.05). Conclusions: CD24 plays an important role in the process of early cervical carcinogenesis, and plays a positive role in the proliferation of early cervical cancer cells by acting on the pathways related to epidermal growth factor signal regulation, which may be an important clinical predictor of cervical carcinogenesis.

Key words: Computational biology, Uterine cervical neoplasms, CD24, Cervical intraepithelial neoplasia;, Forecasting