宫颈癌淋巴结转移相关基因的表达谱研究

Study on Gene Expression Profilings of Lymph Node Metastasis in Cervical Cancer

淋巴结转移是影响宫颈癌预后因素的首要因素,但分子机理尚不清楚,探讨宫颈癌淋巴结转移的分子机制,筛选可能用于临床诊断和治疗的新的分子靶标尤其重要.BRB-Array Tools软件对基因表达综合数据库(Gene Expression Ominibus,GEO)中有/无淋巴结转移早期宫颈癌的基因芯片表达谱数据进行统计学分析,找出二者的差异基因,利用GenCLip软件进行文献挖掘研究这些差异表达基因的功能关系.筛选出71个差异表达基因,其中35个在有淋巴转移的宫颈癌中表达上调,36个下调.文献挖掘发现FZD10、PDZK1IP1、SERPINB9、COMP、MAGEA1等几个新的宫颈癌淋巴转移相关基因.结果表明生物信息学方法能有效地分析基因芯片数据并获取生物内在信息,为宫颈癌淋巴转移发生机制及治疗靶位开辟新思路.

Lymph node metastasis is the most important factor that can affect the prognosis of cervical cancers, but as far as the molecular mechanism is unclear yet, so to investigate the molecular pathogenesis of cervical cancer with lymph node metastasis for further identifying gene markers that may be useful in the diagnosis and treatment of the disease are significantly vital. The dataset of gene expression profilings of cervical cancer with and without lymph node metastasis was taken from GEO database and analyzed by BRB-Array tools. Then the analysis of the differentially expressed genes by the GenCLip software was followed. 71 differentially expressed genes were identified, 35 of which were up-regulated and 36 downregulated in cervical cancer with lymph node metastasis. Several genes （FZD10, PDZK11P1, SERPINB9, COMP, MA GEA 1, etc.） with potential relation to metastatic cervical cancer were identified. The results showed that bioinformatics had a high efficiency in analyzing gene chip data and revealing internal biology information. It will offer a new view for pathogenesis and treat target in cervical cancer with lymph node metastasis.