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[Screening for cervical cancer-related genes and their bioinformatics analysis]
Shu-zhen Chen1, Wen-li Ma, Wen-ling Zheng
1Institute of Genetic Engineering, Southern Medical University, Guangzhou 510515, China. chenshuzhenx@gmail.com
Objective:
To better understand the molecular pathogenesis of cervical cancer, and provide novel means for clinical diagnosis and treatment of this malignancy.
Methods:
The gene chip data of cervical cancer were obtained from GEO database and statistically analyzed using BRB-ArrayTools to identify the genes related to cervical cancer with bioinformatics analysis using Panther software.
Results:
Thirty-seven differentially expressed genes were identified in cervical, cancer samples, including 23 up-regulated and 14 down-regulated genes. These genes were associated with the cell skeletons transporters and such processes as cell signal transduction, transcriptional control, cell adhesion, and cell apoptosis.
Conclusion:
Bioinformatics analysis can help with effective analysis of the gene chip data. The pathogenesis of cervical cancer involves abnormal expression of multiple genes, and these data may benefit further investigations of the early diagnosis and treatment of the malignancy.
