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Pre-Treatment Biomarkers of Anti-Tumour Necrosis Factor Therapy Response in Crohn’s Disease—A Systematic Review and Gene Ontology Analysis

机译:克罗恩病抗肿瘤坏死因子治疗反应的治疗前生物标志物—系统评价和基因本体分析

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摘要

The most prominent treatment for the serious cases of Crohn’s disease (CD) are biological tumour necrosis factor (TNF) inhibitors. Unfortunately, therapy nonresponse is still a serious issue in ~1/3 of CD patients. Accurate prediction of responsiveness prior to therapy start would therefore be of great value. Clinical predictors have, however, proved insufficient. Here, we integrate genomic and expression data on potential pre-treatment biomarkers of anti-TNF nonresponse. We show that there is almost no overlap between genomic (annotated with tissue-specific expression quantitative trait loci data) and transcription (RNA and protein data) biomarkers. Furthermore, using interaction networks we demonstrate there is little direct interaction between the proposed biomarkers, though a majority do have common interactors connecting them into networks. Our gene ontology analysis shows that these networks have roles in apoptotic signalling, response to oxidative stress and inflammation pathways. We conclude that a more systematic approach with genome-wide search of genomic and expression biomarkers in the same patients is needed in future studies.
机译:克罗恩病(CD)严重病例最突出的治疗方法是生物肿瘤坏死因子(TNF)抑制剂。不幸的是,在约1/3的CD患者中,治疗无反应仍然是一个严重的问题。因此,在治疗开始之前准确预测反应性将具有重要价值。然而,临床预测指标已被证明不足。在这里,我们整合了抗TNF无应答的潜在预处理生物标志物的基因组和表达数据。我们显示,基因组(用组织特异性表达定量性状基因座数据注释)和转录(RNA和蛋白质数据)生物标志物之间几乎没有重叠。此外,使用相互作用网络我们证明了所提出的生物标志物之间几乎没有直接相互作用,尽管大多数确实具有将它们连接到网络中的常见相互作用子。我们的基因本体分析表明,这些网络在细胞凋亡信号,对氧化应激和炎症途径的反应中具有作用。我们得出结论,在未来的研究中,需要一种更系统的方法,对同一患者的基因组和表达生物标志物进行全基因组搜索。

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