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

Author

Listed:
  • Huilin Shao

    (Center for Systems Biology, Massachusetts General Hospital
    Present address: Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, 61 Biopolis Drive, Singapore 138673)

  • Jaehoon Chung

    (Center for Systems Biology, Massachusetts General Hospital
    Present address: Institute of Microelectronics, Agency for Science, Technology and Research, 11 Science Park Road, Singapore 117685)

  • Kyungheon Lee

    (Center for Systems Biology, Massachusetts General Hospital)

  • Leonora Balaj

    (Massachusetts General Hospital
    Program in Neuroscience, Harvard Medical School)

  • Changwook Min

    (Center for Systems Biology, Massachusetts General Hospital)

  • Bob S. Carter

    (UCSD School of Medicine)

  • Fred H. Hochberg

    (UCSD School of Medicine
    Massachusetts General Hospital Cancer Center)

  • Xandra O. Breakefield

    (Massachusetts General Hospital
    Program in Neuroscience, Harvard Medical School
    Massachusetts General Hospital)

  • Hakho Lee

    (Center for Systems Biology, Massachusetts General Hospital
    Massachusetts General Hospital)

  • Ralph Weissleder

    (Center for Systems Biology, Massachusetts General Hospital
    Massachusetts General Hospital Cancer Center
    Massachusetts General Hospital
    Harvard Medical School)

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.

Suggested Citation

  • Huilin Shao & Jaehoon Chung & Kyungheon Lee & Leonora Balaj & Changwook Min & Bob S. Carter & Fred H. Hochberg & Xandra O. Breakefield & Hakho Lee & Ralph Weissleder, 2015. "Chip-based analysis of exosomal mRNA mediating drug resistance in glioblastoma," Nature Communications, Nature, vol. 6(1), pages 1-9, November.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7999
    DOI: 10.1038/ncomms7999
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    Cited by:

    1. Kangfu Chen & Bill T. V. Duong & Sharif U. Ahmed & Piriththiv Dhavarasa & Zongjie Wang & Mahmoud Labib & Connor Flynn & Jingya Xu & Yi Y. Zhang & Hansen Wang & Xiaolong Yang & Jagotamoy Das & Hossein , 2023. "A magneto-activated nanoscale cytometry platform for molecular profiling of small extracellular vesicles," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Yan Zhang & Chi Yan Wong & Carine Z. J. Lim & Qingchang Chen & Zhonglang Yu & Auginia Natalia & Zhigang Wang & Qing You Pang & See Wee Lim & Tze Ping Loh & Beng Ti Ang & Carol Tang & Huilin Shao, 2023. "Multiplexed RNA profiling by regenerative catalysis enables blood-based subtyping of brain tumors," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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