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hsa-miR-9 and drug control over the P38 network as driving disease outcome in GBM patients

机译:hsa-miR-9和P38网络上的药物控制可推动GBM患者的疾病结局

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Introduction: Glioblastoma multiforme (GBM) is the most common and lethal primary tumor of the brain and is associated with one of the worst 5-year survival rates among all human cancers. Identification of key molecular interactions and genetic variations that influence disease course and patient outcome may provide important insights into disease biology and treatment.Results: The P38 network and the micro RNA hsa-miR-9 significantly correlate with patient outcome in a manner that suggests a possible control mechanism of the microRNA over the pathway. This control mechanism can possibly be mimicked by a set of drugs that target the P38 pathway. These drugs are part of the treatment regimen for a subpopulation of the patients that participated in the TCGA study and for which the study provides clinical information.Conclusions: The results presented here call for attention to P38 network targeted treatments and identify the P38 network–hsa-miR-9 interaction as a critical control mechanism in GBM.Methods The Cancer Genome Atlas (TCGA), http://cancergenome.nih.gov/, provides the molecular profiles of 373 patients. Using the TCGA data set and two additional independent molecular and clinical data sets with a set of network-based computational algorithms, we were able to identify a single pathway and a microRNA that were implicated with disease outcome.
机译:简介:多形胶质母细胞瘤(GBM)是最常见和致命的脑部原发性肿瘤,与所有人类癌症中最差的5年生存率之一有关。鉴定影响疾病进程和患者预后的关键分子相互作用和遗传变异可能为疾病生物学和治疗提供重要的见识。结果:P38网络和微小RNA hsa-miR-9与患者预后显着相关,提示microRNA可能通过该途径控制的机制。可以通过靶向P38途径的一组药物来模仿这种控制机制。这些药物是参加TCGA研究并为其提供临床信息的患者亚群治疗方案的一部分。结论:此处给出的结果呼吁关注P38网络靶向治疗并确定P38网络– hsa -miR-9相互作用是GBM中的关键控制机制。方法癌症基因组图谱(TCGA),http://cancergenome.nih.gov/,提供了373例患者的分子概况。使用TCGA数据集和另外两个独立的分子和临床数据集以及一组基于网络的计算算法,我们能够鉴定出与疾病结果相关的单个途径和microRNA。

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