卵巢上皮癌多药耐药全基因组DNA甲基化筛选鉴定及临床验证
首发时间:2016-05-23
摘要: 目的:本研究使用甲基化芯片检测多组卵巢组织基因组DNA的差异甲基化位点,并且采用基因通过富集分析的方法筛选出与卵巢癌多药耐药相关的差异生物学通路及其所包含的差异甲基化基因。方法:采用450K Infinium Methylation BeadChip芯片,检测54例卵巢上皮癌耐药组织、54例敏感组织、54例卵巢良性肿瘤和54例正常卵巢组织的差异甲基化位点 ,获得卵巢上皮癌耐药组和敏感组Beta score值差异大于1倍的上调或下调的DNA。运用GO分析和Pathway通路富集等生物信息学方法分析差异表达DNA潜在的生物学功能和参与的信号通路。用QRT-PCR验证芯片结果,检测差异甲基化的表达情况,并分析差异甲基化基因表达水平与临床病理因素关系。结果:DNA芯片筛选出于卵巢上皮癌多药耐药相关差异化甲基化位点7263个差异化甲基化位点,其中涵盖2654个基因。耐药组织中甲基化程度较敏感组升高位点有6051个,基因2162个,甲基化程度较敏感组降低位点有1212个,基因452个,其中差异甲基化发生在启动子区的有1058个基因,发生在转录起始5'UTR区的基因有305个。生物信息学分析这些差异甲基化基因主要参与了肿瘤途径、黏附、雌激素信号通路、ECM-受体相互作用、P13K-AKT信号通路、ErbB信号通路、子宫内膜癌、白细胞跨内皮迁移、扩张性心肌病等信号通路。我们选取了差异显著的高甲基化基因PIK3R3和LAMA3做了QRT-PCR对芯片结果做了临床验证,PIK3R3和LAMA3基因表达耐药组较敏感组下调,扩大临床样本验证亦得到了一致的结果,其中PIK3R3和LAMA3基因在卵巢癌耐药组织中分别下调1.56倍、1.87倍,差异有统计学意义(P﹤0.05)。结论:利用基因芯片筛选出了跟卵巢上皮癌多药耐药相关的差异的甲基化位点及基因,丰富了目前已知的跟耐药相关的靶基因数据。后期需要进一步研究差异甲基化基因参与卵巢上皮癌耐药发生的相关分子机制及其与临床各因素的关系。?????
关键词: 肿瘤学 DNA甲基化 卵巢癌 耐药 芯片 临床验证
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APPLICATION OF WHOLE GENE-WIDE DNA METHYLATION ARRAY TO SCREEN AND VERIFY DIFFERENCE METHYLATION SITES OF MULTIDRUG RESISTANCE IN EPITHELIAL OVARIAN CANCER
Abstract:Objective:This study aims to detect different menthylation sites using genomic DNA from multiple groups of ovarian tissues by DNA methylation arrays and explore significant multidrug resistance related biological pathways and different methylation sites in epithelial ovarian cancer by gene-set enrichment pathway analysis.Method: Using 450K Infinium Methylation BeadChip to detect the different methylation sites between the 108 cases of epithelial ovarian cancer group with 54 cases of drug-resistant tissue and 54 sensitive one,54 cases of benign ovarian tumors and 54 cases of normal ovarian tissue.R software was be used to find greater different than 1-fold up-regulation or down-regulationin DNA methylation sites.We analysised the target gene of up-regulation or down-regulation DNA by GO enrichment analysis and Pathway bioinformatics analysis to predict the biological functions and involved in which signaling pathways of the differential methylation genes. And then we validate the microarray results using QRT-PCR analysis and to detect the expression of purpose DNA.And analyze the relationships between DNA methylation and clinicopathological factors. Result:A totel of 2654 different methylation DNA(incluing 7263 sites ) were detected using DNA methylation array.There were 2162 hypermethylation genes(including 6051 sites) and 452 hypomethylation genes(including 1212 sites) in ovarian cancer resistance tissue. Biological process analysis shows that the riched biology processes including Pathways in cancer, Pathways in cancer, Focal adhesion, Calcium signaling pathway, Estrogen signaling pathway, ECM-receptor interaction, PI3K-Akt signaling pathway, ErbB signaling pathway, Hippo signaling pathway, Drug metabolism - other enzymes, Phosphatidylinositol signaling system.We selected PIK3R3 and LAMA3 which are the significant different methylation genes between sensitive and resistant groups to verify the result of methylation array according QRT-PCR.Conclusion: Microarray-based screening DNA methylation sites associated with epithelial ovarian cancer multidrug resistance,which enriching the current data known target genes associated with drug resistance.We need more clinical sample to verify over array result and to further explore the molecularmechanism and the relationship between DNA methylation and multidrug resistance in epithelial ovarian cancer.?????
Keywords: oncology methylation ovarian cancer array drug resistance array verification
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卵巢上皮癌多药耐药全基因组DNA甲基化筛选鉴定及临床验证
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