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Raman spectral discrimination in human liquid biopsies of oesophageal transformation to adenocarcinoma

Maitra, Ishaan ; Morais, Camilo L. M. ; Lima, Kássio M. G. ; Ashton, Katherine M. ; Date, Ravindra S. ; Martin, Francis L.

Journal of biophotonics, 2020-03, Vol.13 (3), p.e201960132-n/a [Periódico revisado por pares]

Weinheim: WILEY‐VCH Verlag GmbH & Co. KGaA

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  • Título:
    Raman spectral discrimination in human liquid biopsies of oesophageal transformation to adenocarcinoma
  • Autor: Maitra, Ishaan ; Morais, Camilo L. M. ; Lima, Kássio M. G. ; Ashton, Katherine M. ; Date, Ravindra S. ; Martin, Francis L.
  • Assuntos: Adenocarcinoma ; Algorithms ; biofluids ; chemometrics ; classification techniques ; Diagnostic software ; Diagnostic systems ; Discriminant analysis ; Dysplasia ; Epithelium ; Esophageal cancer ; Esophagus ; Genetic algorithms ; Genetic analysis ; Genetic transformation ; Glycine ; Inflammation ; Model accuracy ; oesophageal cancer ; Principal components analysis ; Raman spectroscopy ; Ribose ; Saliva ; Vibrations
  • É parte de: Journal of biophotonics, 2020-03, Vol.13 (3), p.e201960132-n/a
  • Notas: Funding information
    UFRN, Grant/Award Number: 23077.019698/2019‐67; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) – Brazil, Grant/Award Number: 88881.128982/2016‐01; University of Central Lancashire; Rosemere Cancer Foundation
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  • Descrição: The aim of this study was to determine whether Raman spectroscopy combined with chemometric analysis can be applied to interrogate biofluids (plasma, serum, saliva and urine) towards detecting oesophageal stages through to oesophageal adenocarcinoma [normal/squamous epithelium, inflammatory, Barrett's, low‐grade dysplasia, high‐grade dysplasia and oesophageal adenocarcinoma (OAC)]. The chemometric analysis of the spectral data was performed using principal component analysis, successive projections algorithm or genetic algorithm (GA) followed by quadratic discriminant analysis (QDA). The genetic algorithm quadratic discriminant analysis (GA‐QDA) model using a few selected wavenumbers for saliva and urine samples achieved 100% classification for all classes. For plasma and serum, the GA‐QDA model achieved excellent accuracy in all oesophageal stages (>90%). The main GA‐QDA features responsible for sample discrimination were: 1012 cm−1 (C─O stretching of ribose), 1336 cm−1 (Amide III and CH2 wagging vibrations from glycine backbone), 1450 cm−1 (methylene deformation) and 1660 cm−1 (Amide I). The results of this study are promising and support the concept that Raman on biofluids may become a useful and objective diagnostic tool to identify oesophageal disease stages from squamous epithelium to OAC. Four biofluids (plasma, serum, urine and saliva) were measured through Raman spectroscopy in order to detect oesophageal transformation stages to adenocarcinoma.
  • Editor: Weinheim: WILEY‐VCH Verlag GmbH & Co. KGaA
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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