Investigation of human pancreatic cancer tissues by Fourier Transform Infrared Hyperspectral Imaging.

Fourier transform infrared hyperspectral imaging multivariate analysis pancreatic ductal adenocarcinoma pancreatic neuroendocrine tumors spectral biomarkers

Journal

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

Informations de publication

Date de publication:
04 2020
Historique:
received: 02 08 2019
revised: 24 09 2019
accepted: 16 10 2019
pubmed: 28 10 2019
medline: 24 6 2021
entrez: 25 10 2019
Statut: ppublish

Résumé

Fourier-transform infrared hyperspectral imaging (FTIR-HSI) provides hyperspectral images containing both morphological and chemical information. It is widely applied in the biomedical field to detect tumor lesions, even at the early stage, by identifying specific spectral biomarkers. Pancreatic neoplasms present different prognoses and are not always easily classified by conventional analyses. In this study, tissue samples with diagnosis of pancreatic ductal adenocarcinoma and pancreatic neuroendocrine tumor were analyzed by FTIR-HSI and the spectral data compared with those from healthy and dysplastic samples. Multivariate/univariate approaches were complemented to hyperspectral images, and definite spectral markers of the different lesions identified. The malignant lesions were recognizable both from healthy/dysplastic pancreatic tissues (high values of phospholipids and triglycerides with shorter, more branched and less unsaturated alkyl chains) and between each other (different amounts of total lipids, phosphates and carbohydrates). These findings highlight different metabolic pathways characterizing the different samples, well detectable by FTIR-HSI.

Identifiants

pubmed: 31648419
doi: 10.1002/jbio.201960071
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e201960071

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Auteurs

Valentina Notarstefano (V)

Department of Life and Environmental Sciences, Università Politecnica delle Marche, Ancona, Italy.

Simona Sabbatini (S)

Department of Materials, Environmental Sciences and Urban Planning, Università Politecnica delle Marche, Ancona, Italy.

Carla Conti (C)

Department of Materials, Environmental Sciences and Urban Planning, Università Politecnica delle Marche, Ancona, Italy.

Michela Pisani (M)

Department of Materials, Environmental Sciences and Urban Planning, Università Politecnica delle Marche, Ancona, Italy.

Paola Astolfi (P)

Department of Materials, Environmental Sciences and Urban Planning, Università Politecnica delle Marche, Ancona, Italy.

Chiara Pro (C)

Department of Life and Environmental Sciences, Università Politecnica delle Marche, Ancona, Italy.

Corrado Rubini (C)

Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy.

Lisa Vaccari (L)

Elettra Sincrotrone Trieste, SISSI Beamline, Trieste, Italy.

Elisabetta Giorgini (E)

Department of Life and Environmental Sciences, Università Politecnica delle Marche, Ancona, Italy.

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