Therapeutic prognosis of prostate cancer using surface-enhanced Raman scattering of patient urine and multivariate statistical analysis.

genetic algorithm multivariate data analysis non-recurrence prostate cancer recurrence surface-enhanced Raman scattering

Journal

Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567

Informations de publication

Date de publication:
01 2021
Historique:
received: 08 07 2020
revised: 26 08 2020
accepted: 03 09 2020
pubmed: 11 9 2020
medline: 13 7 2021
entrez: 10 9 2020
Statut: ppublish

Résumé

Surface-enhanced Raman scattering (SERS) is highly sensitive and label-free analytical technique based on Raman spectroscopy aided by field-multiplying plasmonic nanostructures. We report the use of SERS measurements of patient urine in conjunction with biostatistical algorithms to assess the treatment response of prostate cancer (PCa) in 12 recurrent (Re) and 63 nonrecurrent (NRe) patient cohorts. Multiple Raman spectra are collected from each urine sample using monodisperse silver nanoparticles (AgNPs) for Raman signal enhancement. Genetic algorithms-partial least squares-linear discriminant analysis (GA-PLS-LDA) was employed to analyze the Raman spectra. Comprehensive GA-PLS-LDA analyses of these Raman spectral features (p = 3.50 × 10

Identifiants

pubmed: 32909380
doi: 10.1002/jbio.202000275
doi:

Substances chimiques

Silver 3M4G523W1G

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e202000275

Informations de copyright

© 2020 Wiley-VCH GmbH.

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Auteurs

Yiwei Ma (Y)

Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, New Jersey, USA.

Jingmao Chi (J)

Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, New Jersey, USA.

Zhaoyu Zheng (Z)

Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, New Jersey, USA.

Athula Attygalle (A)

Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, New Jersey, USA.

Isaac Yi Kim (IY)

Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Division of Urology, Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA.

Henry Du (H)

Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, New Jersey, USA.

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