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Chip-based analysis of exosomal mRNA mediating drug resistance in glioblastoma

机译:芯片分析胶质母细胞瘤中外体mRNA介导的耐药性

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摘要

Real-time monitoring of drug efficacy in glioblastoma multiforme (GBM) is a major clinical problem as serial re-biopsy of primary tumours is often not a clinical option. MGMT (O6-methylguanine DNA methyltransferase) and APNG (alkylpurine-DNA-N-glycosylase) are key enzymes capable of repairing temozolomide-induced DNA damages and their levels in tissue are inversely related to treatment efficacy. Yet, serial clinical analysis remains difficult, and, when done, primarily relies on promoter methylation studies of tumour biopsy material at the time of initial surgery. Here we present a microfluidic chip to analyse mRNA levels of MGMT and APNG in enriched tumour exosomes obtained from blood. We show that exosomal mRNA levels of these enzymes correlate well with levels found in parental cells and that levels change considerably during treatment of seven patients. We propose that if validated on a larger cohort of patients, the method may be used to predict drug response in GBM patients.
机译:实时监测多形性胶质母细胞瘤(GBM)的药物疗效是一个主要的临床问题,因为原发肿瘤的连续再活检通常不是临床选择。 MGMT(O 6 -甲基鸟嘌呤DNA甲基转移酶)和APNG(烷基嘌呤-DNA-N-糖基化酶)是能够修复替莫唑胺引起的DNA损伤的关键酶,它们在组织中的水平与治疗效果成反比。然而,连续的临床分析仍然很困难,并且当完成时,主要依赖于初次手术时肿瘤活检材料的启动子甲基化研究。在这里,我们提出了一种微流控芯片,以分析从血液中获得的丰富肿瘤外泌体中MGMT和APNG的mRNA水平。我们显示这些酶的外泌体mRNA水平与在亲代细胞中发现的水平相关性很好,并且在治疗七名患者期间该水平发生了很大变化。我们建议,如果在更大的患者队列中得到验证,则该方法可用于预测GBM患者的药物反应。

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