A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors

SGTs vary in histological behavior. Mucins, a major component in salivary glands, consist of a glycosylated and sialylated protein core. Rapid evolutions in glycobiology have demonstrated the important role of glycoproteins in cancer development. NIR spectroscopy is a method for the biochemical anal...

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Autores principales:	Renaat Coopman, Sander De Bruyne, Marijn Speeckaert, Tijl Vermassen, Hubert Vermeersch, David Creytens, Joris Delanghe
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	infrared spectroscopy NIR salivary gland tumors tissue section Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/ebea81c743564785aedbb9757ce1cbe2
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spelling	oai:doaj.org-article:ebea81c743564785aedbb9757ce1cbe22021-11-11T15:28:56ZA Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors10.3390/cancers132153562072-6694https://doaj.org/article/ebea81c743564785aedbb9757ce1cbe22021-10-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/21/5356https://doaj.org/toc/2072-6694SGTs vary in histological behavior. Mucins, a major component in salivary glands, consist of a glycosylated and sialylated protein core. Rapid evolutions in glycobiology have demonstrated the important role of glycoproteins in cancer development. NIR spectroscopy is a method for the biochemical analysis of substrates. NIR spectra can be analyzed using specific chemometrics. Our aim was to explore the diagnostic possibilities of NIR spectroscopy in SGTs. 238 Hematoxylin and Eosine stained (H&E) SGT tissue sections were examined using NIR spectroscopy. 45 deparaffinized tissue sections were treated with neuraminidase to identify wavelengths in the NIR spectrum related to sialylation. NIR spectra were analyzed with chemometrics. NIR spectra could distinguish malignant SGTs from controls and benign SGTs. Prediction models based on the entire spectral range resulted in a 73.1% accurate classification of malignant SGTs and controls, while, based on neuraminidase experimental spectral peak differences (1436 nm; 1713 nm; 1783 nm; 1924 nm; 2032 nm; 2064 nm; 2178 nm; 2216 nm), an improved overall correct classification rate of 91.9% was obtained between healthy subjects and malignant tumors. H&E tissue section-based NIR spectroscopy can identify malignant SGTs from controls, promising an alternative method in the diagnosis of SGTs.Renaat CoopmanSander De BruyneMarijn SpeeckaertTijl VermassenHubert VermeerschDavid CreytensJoris DelangheMDPI AGarticleinfraredspectroscopyNIRsalivary gland tumorstissue sectionNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5356, p 5356 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	infrared spectroscopy NIR salivary gland tumors tissue section Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	infrared spectroscopy NIR salivary gland tumors tissue section Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Renaat Coopman Sander De Bruyne Marijn Speeckaert Tijl Vermassen Hubert Vermeersch David Creytens Joris Delanghe A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors
description	SGTs vary in histological behavior. Mucins, a major component in salivary glands, consist of a glycosylated and sialylated protein core. Rapid evolutions in glycobiology have demonstrated the important role of glycoproteins in cancer development. NIR spectroscopy is a method for the biochemical analysis of substrates. NIR spectra can be analyzed using specific chemometrics. Our aim was to explore the diagnostic possibilities of NIR spectroscopy in SGTs. 238 Hematoxylin and Eosine stained (H&E) SGT tissue sections were examined using NIR spectroscopy. 45 deparaffinized tissue sections were treated with neuraminidase to identify wavelengths in the NIR spectrum related to sialylation. NIR spectra were analyzed with chemometrics. NIR spectra could distinguish malignant SGTs from controls and benign SGTs. Prediction models based on the entire spectral range resulted in a 73.1% accurate classification of malignant SGTs and controls, while, based on neuraminidase experimental spectral peak differences (1436 nm; 1713 nm; 1783 nm; 1924 nm; 2032 nm; 2064 nm; 2178 nm; 2216 nm), an improved overall correct classification rate of 91.9% was obtained between healthy subjects and malignant tumors. H&E tissue section-based NIR spectroscopy can identify malignant SGTs from controls, promising an alternative method in the diagnosis of SGTs.
format	article
author	Renaat Coopman Sander De Bruyne Marijn Speeckaert Tijl Vermassen Hubert Vermeersch David Creytens Joris Delanghe
author_facet	Renaat Coopman Sander De Bruyne Marijn Speeckaert Tijl Vermassen Hubert Vermeersch David Creytens Joris Delanghe
author_sort	Renaat Coopman
title	A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors
title_short	A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors
title_full	A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors
title_fullStr	A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors
title_full_unstemmed	A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors
title_sort	tissue section-based near-infrared spectroscopical analysis of salivary gland tumors
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ebea81c743564785aedbb9757ce1cbe2
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A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors

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