Chen Shu-zhen, Ma Wen-li, Zheng Wen-ling
Institute of Genetic Engineering, Southern Medical University, Guangzhou 510515, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2008 Apr;28(4):585-8.
To better understand the molecular pathogenesis of cervical cancer, and provide novel means for clinical diagnosis and treatment of this malignancy.
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.
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.
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.
为更好地理解宫颈癌的分子发病机制，并为该恶性肿瘤的临床诊断和治疗提供新方法。
从GEO数据库获取宫颈癌基因芯片数据，并使用BRB-ArrayTools进行统计分析，利用Panther软件通过生物信息学分析鉴定与宫颈癌相关的基因。
在宫颈癌样本中鉴定出37个差异表达基因，其中23个上调基因和14个下调基因。这些基因与细胞骨架、转运蛋白以及细胞信号转导、转录调控、细胞黏附、细胞凋亡等过程相关。
生物信息学分析有助于对基因芯片数据进行有效分析。宫颈癌的发病机制涉及多个基因的异常表达，这些数据可能有助于对该恶性肿瘤早期诊断和治疗的进一步研究。
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