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

Huilin Shao, Jaehoon Chung, Kyungheon Lee, Leonora Balaj, Changwook Min, Bob S. Carter, Fred H. Hochberg, Xandra O. Breakefield, Hakho Lee () and Ralph Weissleder ()
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Huilin Shao: Center for Systems Biology, Massachusetts General Hospital
Jaehoon Chung: Center for Systems Biology, Massachusetts General Hospital
Kyungheon Lee: Center for Systems Biology, Massachusetts General Hospital
Leonora Balaj: Massachusetts General Hospital
Changwook Min: Center for Systems Biology, Massachusetts General Hospital
Bob S. Carter: UCSD School of Medicine
Fred H. Hochberg: UCSD School of Medicine
Xandra O. Breakefield: Massachusetts General Hospital
Hakho Lee: Center for Systems Biology, Massachusetts General Hospital
Ralph Weissleder: Center for Systems Biology, Massachusetts General Hospital

Nature Communications, 2015, vol. 6, issue 1, 1-9

Abstract: Abstract 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.

Date: 2015
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DOI: 10.1038/ncomms7999

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