Molecular and functional extracellular vesicle analysis using nanopatterned microchips monitors tumor progression and metastasis.
Molecular and functional extracellular vesicle analysis using nanopatterned microchips monitors tumor progression and metastasis.
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DOI:
10.1126/scitranslmed.aaz2878
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发表时间:
2020-06-10
影响因子:
17.1
通讯作者:
Zeng Y
中科院分区:
文献类型:
--
作者:
Zhang P;Wu X;Gardashova G;Yang Y;Zhang Y;Xu L;Zeng Y
Longitudinal cancer monitoring is crucial to clinical implementation of precision medicine. There is growing evidence indicating important functions of extracellular vesicles (EVs) in tumor progression and metastasis, including matrix remodeling via transporting matrix metalloproteases (MMPs). However, the clinical relevance of EVs remains largely undetermined, partially owing to challenges in EV analysis. Distinct from existing technologies mostly focused on characterizing molecular constituents of EVs, here we report a nanoengineered lab-on-a-chip system that enables integrative functional and molecular phenotyping of tumor-associated EVs. A generalized, high-resolution colloidal inkjet printing method was developed to allow robust and scalable manufacturing of three-dimensional (3D) nanopatterned devices. With this nanochip platform, we demonstrated integrative analysis of the expression and proteolytic activity of MMP14 on EVs to detect in vitro cell invasiveness and monitor in vivo tumor metastasis, using cancer cell lines and mouse models. Analysis of clinical plasma specimen showed that our technology could be used for cancer detection including accurate classification of age-matched controls and patients with ductal carcinoma in situ, invasive ductal carcinoma, or locally metastatic breast cancer in a training cohort (n = 30, 96.7% accuracy) and an independent validation cohort (n = 70, 92.9% accuracy). With clinical validation, our technology could provide a useful liquid biopsy tool to improve cancer diagnostics and real-time surveillance of tumor evolution in patients to inform personalized therapy.
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影响因子:
16.6
作者:
Clancy, James W.;Sedgwick, Alanna;Rosse, Carine;Muralidharan-Chari, Vandhana;Raposo, Graca;Method, Michael;Chavrier, Philippe;D'Souza-Schorey, Crislyn
通讯作者:
D'Souza-Schorey, Crislyn
影响因子:
4
作者:
Hakulinen, Juha;Sankkila, Lotta;Keski-Oja, Jorma
通讯作者:
Keski-Oja, Jorma
影响因子:
21.3
作者:
Costa-Silva B;Aiello NM;Ocean AJ;Singh S;Zhang H;Thakur BK;Becker A;Hoshino A;Mark MT;Molina H;Xiang J;Zhang T;Theilen TM;García-Santos G;Williams C;Ararso Y;Huang Y;Rodrigues G;Shen TL;Labori KJ;Lothe IM;Kure EH;Hernandez J;Doussot A;Ebbesen SH;Grandgenett PM;Hollingsworth MA;Jain M;Mallya K;Batra SK;Jarnagin WR;Schwartz RE;Matei I;Peinado H;Stanger BZ;Bromberg J;Lyden D
通讯作者:
Lyden D
影响因子:
64.5
作者:
Genschmer, Kristopher R.;Russell, Derek W.;Blalock, J. Edwin
通讯作者:
Blalock, J. Edwin
影响因子:
6
作者:
Doebar, Shusma C.;Sieuwerts, Anieta M.;van Deurzen, Carolien H. M.
通讯作者:
van Deurzen, Carolien H. M.