Bioinformatics analysis of genes related to the progress of cervical intraepithelial neoplasia / 中国肿瘤临床

ABSTRACT

Objective:To investigate the potential genes associated with cervical intraepithelial neoplasia (CIN) progression through mi-croarray expression profiling data analysis and bioinformatics approaches. Methods:mRNA expression microarray data related to CIN progression were screened from GEO database for the first time. They were re-analyzed by bioinformatics analysis. Results: Two mRNA expression microarray datasets were obtained from the GEO database. Pathway enrichment analysis of the common differen-tially expressed genes identified 3 signaling pathways associated with CIN progression, including Wnt, Endocytosis, and Vibrio cholerae infection. Fourteen differentially expressed genes were also identified. Biological annotation and text mining showed that 3 genes were directly related to CIN progression, and 9 other genes were associated with tumor progression and recurrence. GeneMania tool analysis demonstrated the protein interaction network formed between all the differentially expressed genes and the 24 reported genes. CCND2 and TGFBR2 formed direct interaction with many reported genes. Conclusion:Three signaling pathways and 14 differen-tially expressed genes were associated with CIN progression, as indicated by microarray data analysis results.