Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers-Reference-Cited by-同舟云学术

Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers

Published:2021-11-04 Issue:11 Volume:15 Page:18192-18205
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Penders Jelle¹²³^ORCID,Nagelkerke Anika¹²³,Cunnane Eoghan M.¹²³,Pedersen Simon V.¹²³^ORCID,Pence Isaac J.¹²³,Coombes R. Charles⁴,Stevens Molly M.¹²³^ORCID

Affiliation:

1. Department of Materials, Imperial College London, London SW7 2AZ, United Kingdom

2. Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom

3. Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, United Kingdom

4. Department of Surgery and Cancer, Hammersmith Hospital, Imperial College, London W120HS, United Kingdom

Funder

NIHR Imperial Biomedical Research Centre

NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research

Det Frie Forskningsr??d

Wellcome Trust

Rosetrees Trust

UK Regenerative Medicine Platform

Whitaker International Program

Royal Academy of Engineering

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.1c07075

Reference63 articles.

1. IARC WHO. Global Cancer Observatory World Fact sheet. https://gco.iarc.fr/today/data/factsheets/populations/900-world-fact-sheets.pdf (accessed 2021-06-14).

2. Heterogeneity in breast cancer

3. Molecular Classification of Breast Cancer: Limitations and Potential

4. Development of a spatially offset Raman spectroscopy probe for breast tumor surgical margin evaluation

5. Evaluating feasibility of an automated 3-dimensional scanner using Raman spectroscopy for intraoperative breast margin assessment

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