Protein typing of circulating microvesicles allows real-time monitoring of glioblastoma therapy

被引:623
作者
Shao, Huilin [1 ,2 ]
Chung, Jaehoon [1 ]
Balaj, Leonora [3 ]
Charest, Alain [4 ]
Bigner, Darell D. [5 ]
Carter, Bob S. [6 ]
Hochberg, Fred H. [7 ]
Breakefield, Xandra O. [3 ,8 ]
Weissleder, Ralph [1 ,7 ,9 ]
Lee, Hakho [1 ]
机构
[1] Massachusetts Gen Hosp, Ctr Syst Biol, Boston, MA 02114 USA
[2] Harvard Univ, Sch Med, Harvard Biophys Program, Boston, MA USA
[3] Massachusetts Gen Hosp, Dept Neurol, Ctr Neurosci, Boston, MA 02114 USA
[4] Tufts Univ, Sch Med, Mol Oncol Res Inst, Boston, MA 02111 USA
[5] Duke Univ, Med Ctr, Dept Pathol, Brain Tumor Ctr, Durham, NC 27710 USA
[6] Univ Calif San Diego, Sch Med, Div Neurol Surg, San Diego, CA 92103 USA
[7] Massachusetts Gen Hosp, Ctr Canc, Boston, MA USA
[8] Harvard Univ, Sch Med, Program Neurosci, Boston, MA 02115 USA
[9] Harvard Univ, Sch Med, Dept Syst Biol, Boston, MA USA
关键词
GROWTH-FACTOR RECEPTOR; INTEGRATED GENOMIC ANALYSIS; PARAMETRIC RESPONSE MAP; MOLECULAR MARKER; EGFR; TARGET; EXPRESSION; BIOMARKERS; EXOSOMES;
D O I
10.1038/nm.2994
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Glioblastomas shed large quantities of small, membrane-bound microvesicles into the circulation. Although these hold promise as potential biomarkers of therapeutic response, their identification and quantification remain challenging. Here, we describe a highly sensitive and rapid analytical technique for profiling circulating microvesicles directly from blood samples of patients with glioblastoma. Microvesicles, introduced onto a dedicated microfluidic chip, are labeled with target-specific magnetic nanoparticles and detected by a miniaturized nuclear magnetic resonance system. Compared with current methods, this integrated system has a much higher detection sensitivity and can differentiate glioblastoma multiforme (GBM) microvesicles from nontumor host cell-derived microvesicles. We also show that circulating GBM microvesicles can be used to analyze primary tumor mutations and as a predictive metric of treatment-induced changes. This platform could provide both an early indicator of drug efficacy and a potential molecular stratifier for human clinical trials.
引用
收藏
页码:1835 / +
页数:7
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