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Discovery of Molecular DNA Methylation-Based Biomarkers through Genome-Wide Analysis of Response Patterns to BCG for Bladder Cancer

机译:通过基因组对膀胱癌的基因组分析发现分子DNA甲基化生物标志物

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摘要

Background: Bacillus Calmette-Guérin (BCG) immunotherapy, the standard adjuvant intravesical therapy for some intermediate and most high-risk non-muscle invasive bladder cancers (NMIBCs), suffers from a heterogenous response rate. Molecular markers to help guide responses are scarce and currently not used in the clinical setting. Methods: To identify novel biomarkers and pathways involved in response to BCG immunotherapy, we performed a genome-wide DNA methylation analysis of NMIBCs before BCG therapy. Genome-wide DNA methylation profiles of DNA isolated from tumors of 26 BCG responders and 27 failures were obtained using the Infinium MethylationEPIC BeadChip. Results: Distinct DNA methylation patterns were found by genome-wide analysis in the two groups. Differentially methylated CpG sites were predominantly located in gene promoters and gene bodies associated with bacterial invasion of epithelial cells, chemokine signaling, endocytosis, and focal adhesion. In total, 40 genomic regions with a significant difference in methylation between responders and failures were detected. The differential methylation state of six of these regions, localized in the promoters of the genes , , , , and were internally validated by bisulfite-sequencing. promoter hypermethylation was the best predictor of BCG failure with an AUC of 0.809 ( -value < 0.001). Conclusions: Tumors from BCG responders and BCG failures harbor distinct DNA methylation profiles. Differentially methylated DNA regions were detected in genes related to pathways involved in bacterial invasion of cells or focal adhesion. We identified candidate DNA methylation biomarkers that may help to predict patient prognosis after external validation in larger, well-designed cohorts.
机译:背景:Bacillus Calmette-guérin(BCG)免疫疗法,一些中间体和最高风险的非肌肉侵袭性膀胱癌(NMIBCs)的标准佐剂膀胱内疗法患有异质反应率。用于帮助指导反应的分子标记是稀缺,目前不用于临床环境。方法:为了鉴定响应BCG免疫疗法的新型生物标志物和途径,我们在BCG疗法之前进行了NMIBC的基因组DNA甲基化分析。使用Infinium甲基化珠芯片获得从26bcg响应者中分离的DNA的基因组DNA甲基化谱和27个故障。结果:通过两组基因组分析发现了不同的DNA甲基化模式。差异甲基化的CpG位点主要位于基因启动子和基因体中,与上皮细胞的细菌侵袭,趋化因子信号,内吞作用和局灶性粘附相关。总共有40个基因组区域,检测到患者和失败之间甲基化具有显着差异的基因组区域。这些区域中的六个差分甲基化状态,在基因的启动子中局部化,并通过亚硫酸氢盐测序内部验证。启动子高甲基化是BCG失效的最佳预测因子,AUC为0.809( - value <0.001)。结论:来自BCG响应者和BCG失败的肿瘤涉及不同的DNA甲基化型材。在与参与细胞侵袭细胞或局灶性粘附的途径相关的基因中检测到差异甲基化DNA区域。我们确定候选DNA甲基化生物标志物,可能有助于预测较大,精心设计的队列的外部验证后患者预后。

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