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MoS(2)-Plasmonic Nanocavities for Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression in Glioblastoma
[Image: see text] Extracellular vesicles (EVs) are continually released from cancer cells into biofluids, carrying actionable molecular fingerprints of the underlying disease with considerable diagnostic and therapeutic potential. The scarcity, heterogeneity and intrinsic complexity of tumor EVs pre...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339787/ https://www.ncbi.nlm.nih.gov/pubmed/37366177 http://dx.doi.org/10.1021/acsnano.2c09222 |
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author | Jalali, Mahsa del Real Mata, Carolina Montermini, Laura Jeanne, Olivia I.Hosseini, Imman Gu, Zonglin Spinelli, Cristiana Lu, Yao Tawil, Nadim Guiot, Marie Christine He, Zhi Wachsmann-Hogiu, Sebastian Zhou, Ruhong Petrecca, Kevin Reisner, Walter W. Rak, Janusz Mahshid, Sara |
author_facet | Jalali, Mahsa del Real Mata, Carolina Montermini, Laura Jeanne, Olivia I.Hosseini, Imman Gu, Zonglin Spinelli, Cristiana Lu, Yao Tawil, Nadim Guiot, Marie Christine He, Zhi Wachsmann-Hogiu, Sebastian Zhou, Ruhong Petrecca, Kevin Reisner, Walter W. Rak, Janusz Mahshid, Sara |
author_sort | Jalali, Mahsa |
collection | PubMed |
description | [Image: see text] Extracellular vesicles (EVs) are continually released from cancer cells into biofluids, carrying actionable molecular fingerprints of the underlying disease with considerable diagnostic and therapeutic potential. The scarcity, heterogeneity and intrinsic complexity of tumor EVs present a major technological challenge in real-time monitoring of complex cancers such as glioblastoma (GBM). Surface-enhanced Raman spectroscopy (SERS) outputs a label-free spectroscopic fingerprint for EV molecular profiling. However, it has not been exploited to detect known biomarkers at the single EV level. We developed a multiplex fluidic device with embedded arrayed nanocavity microchips (MoSERS microchip) that achieves 97% confinement of single EVs in a minute amount of fluid (<10 μL) and enables molecular profiling of single EVs with SERS. The nanocavity arrays combine two featuring characteristics: (1) An embedded MoS(2) monolayer that enables label-free isolation and nanoconfinement of single EVs due to physical interaction (Coulomb and van der Waals) between the MoS(2) edge sites and the lipid bilayer; and (2) A layered plasmonic cavity that enables sufficient electromagnetic field enhancement inside the cavities to obtain a single EV level signal resolution for stratifying the molecular alterations. We used the GBM paradigm to demonstrate the diagnostic potential of the SERS single EV molecular profiling approach. The MoSERS multiplexing fluidic achieves parallel signal acquisition of glioma molecular variants (EGFRvIII oncogenic mutation and MGMT expression) in GBM cells. The detection limit of 1.23% was found for stratifying these key molecular variants in the wild-type population. When interfaced with a convolutional neural network (CNN), MoSERS improved diagnostic accuracy (87%) with which GBM mutations were detected in 12 patient blood samples, on par with clinical pathology tests. Thus, MoSERS demonstrates the potential for molecular stratification of cancer patients using circulating EVs. |
format | Online Article Text |
id | pubmed-10339787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103397872023-07-14 MoS(2)-Plasmonic Nanocavities for Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression in Glioblastoma Jalali, Mahsa del Real Mata, Carolina Montermini, Laura Jeanne, Olivia I.Hosseini, Imman Gu, Zonglin Spinelli, Cristiana Lu, Yao Tawil, Nadim Guiot, Marie Christine He, Zhi Wachsmann-Hogiu, Sebastian Zhou, Ruhong Petrecca, Kevin Reisner, Walter W. Rak, Janusz Mahshid, Sara ACS Nano [Image: see text] Extracellular vesicles (EVs) are continually released from cancer cells into biofluids, carrying actionable molecular fingerprints of the underlying disease with considerable diagnostic and therapeutic potential. The scarcity, heterogeneity and intrinsic complexity of tumor EVs present a major technological challenge in real-time monitoring of complex cancers such as glioblastoma (GBM). Surface-enhanced Raman spectroscopy (SERS) outputs a label-free spectroscopic fingerprint for EV molecular profiling. However, it has not been exploited to detect known biomarkers at the single EV level. We developed a multiplex fluidic device with embedded arrayed nanocavity microchips (MoSERS microchip) that achieves 97% confinement of single EVs in a minute amount of fluid (<10 μL) and enables molecular profiling of single EVs with SERS. The nanocavity arrays combine two featuring characteristics: (1) An embedded MoS(2) monolayer that enables label-free isolation and nanoconfinement of single EVs due to physical interaction (Coulomb and van der Waals) between the MoS(2) edge sites and the lipid bilayer; and (2) A layered plasmonic cavity that enables sufficient electromagnetic field enhancement inside the cavities to obtain a single EV level signal resolution for stratifying the molecular alterations. We used the GBM paradigm to demonstrate the diagnostic potential of the SERS single EV molecular profiling approach. The MoSERS multiplexing fluidic achieves parallel signal acquisition of glioma molecular variants (EGFRvIII oncogenic mutation and MGMT expression) in GBM cells. The detection limit of 1.23% was found for stratifying these key molecular variants in the wild-type population. When interfaced with a convolutional neural network (CNN), MoSERS improved diagnostic accuracy (87%) with which GBM mutations were detected in 12 patient blood samples, on par with clinical pathology tests. Thus, MoSERS demonstrates the potential for molecular stratification of cancer patients using circulating EVs. American Chemical Society 2023-06-27 /pmc/articles/PMC10339787/ /pubmed/37366177 http://dx.doi.org/10.1021/acsnano.2c09222 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Jalali, Mahsa del Real Mata, Carolina Montermini, Laura Jeanne, Olivia I.Hosseini, Imman Gu, Zonglin Spinelli, Cristiana Lu, Yao Tawil, Nadim Guiot, Marie Christine He, Zhi Wachsmann-Hogiu, Sebastian Zhou, Ruhong Petrecca, Kevin Reisner, Walter W. Rak, Janusz Mahshid, Sara MoS(2)-Plasmonic Nanocavities for Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression in Glioblastoma |
title | MoS(2)-Plasmonic
Nanocavities for
Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression
in Glioblastoma |
title_full | MoS(2)-Plasmonic
Nanocavities for
Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression
in Glioblastoma |
title_fullStr | MoS(2)-Plasmonic
Nanocavities for
Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression
in Glioblastoma |
title_full_unstemmed | MoS(2)-Plasmonic
Nanocavities for
Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression
in Glioblastoma |
title_short | MoS(2)-Plasmonic
Nanocavities for
Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression
in Glioblastoma |
title_sort | mos(2)-plasmonic
nanocavities for
raman spectra of single extracellular vesicles reveal molecular progression
in glioblastoma |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339787/ https://www.ncbi.nlm.nih.gov/pubmed/37366177 http://dx.doi.org/10.1021/acsnano.2c09222 |
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