Shao Huilin, Chung Jaehoon, Lee Kyungheon, Balaj Leonora, Min Changwook, Carter Bob S, Hochberg Fred H, Breakefield Xandra O, Lee Hakho, Weissleder Ralph
Center for Systems Biology, Massachusetts General Hospital, 185 Cambridge St, CPZN 5206, Boston, Massachusetts 02114, USA.
1] Department of Neurology, Massachusetts General Hospital, Fruit St, Boston, Massachusetts 02114, USA [2] Program in Neuroscience, Harvard Medical School, 200 Longwood Ave, Boston, Massachusetts 02115, USA.
Nat Commun. 2015 May 11;6:6999. doi: 10.1038/ncomms7999.
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 (O(6)-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.
多形性胶质母细胞瘤(GBM)中药物疗效的实时监测是一个重大临床问题,因为对原发性肿瘤进行系列再次活检通常不是一种临床可行的选择。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诱导的DNA损伤的关键酶,它们在组织中的水平与治疗效果呈负相关。然而,系列临床分析仍然困难,即便进行分析,也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。在此,我们展示了一种微流控芯片,用于分析从血液中获取的富集肿瘤外泌体中MGMT和APNG的mRNA水平。我们表明,这些酶的外泌体mRNA水平与亲代细胞中的水平高度相关,并且在7名患者的治疗过程中水平发生了显著变化。我们提出,如果在更大规模的患者队列中得到验证,该方法可用于预测GBM患者的药物反应。