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Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors
In the last decade, Raman Spectroscopy has demonstrated to be a label-free and non-destructive optical spectroscopy able to improve diagnostic accuracy in cancer diagnosis. This is because Raman spectroscopic measurements can reveal a deep molecular understanding of the biochemical changes in cancer...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005702/ https://www.ncbi.nlm.nih.gov/pubmed/32034187 http://dx.doi.org/10.1038/s41598-020-58848-0 |
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author | D’Acunto, Mario Gaeta, Raffaele Capanna, Rodolfo Franchi, Alessandro |
author_facet | D’Acunto, Mario Gaeta, Raffaele Capanna, Rodolfo Franchi, Alessandro |
author_sort | D’Acunto, Mario |
collection | PubMed |
description | In the last decade, Raman Spectroscopy has demonstrated to be a label-free and non-destructive optical spectroscopy able to improve diagnostic accuracy in cancer diagnosis. This is because Raman spectroscopic measurements can reveal a deep molecular understanding of the biochemical changes in cancer tissues in comparison with non-cancer tissues. In this pilot study, we apply Raman spectroscopy imaging to the diagnosis and grading of chondrogenic tumors, including enchondroma and chondrosarcomas of increasing histologic grades. The investigation included the analysis of areas of 50×50 μm(2) to approximately 200×200 μm(2), respectively. Multivariate statistical analysis, based on unsupervised (Principal Analysis Components) and supervised (Linear Discriminant Analysis) methods, differentiated between the various tumor samples, between cells and extracellular matrix, and between collagen and non-collagenous components. The results dealt out basic biochemical information on tumor progression giving the possibility to grade with certainty the malignant cartilaginous tumors under investigation. The basic processes revealed by Raman Spectroscopy are the progressive degrading of collagen type-II components, the formation of calcifications and the cell proliferation in tissues ranging from enchondroma to chondrosarcomas. This study highlights that Raman spectroscopy is particularly effective when cartilaginous tumors need to be subjected to histopathological analysis. |
format | Online Article Text |
id | pubmed-7005702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70057022020-02-18 Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors D’Acunto, Mario Gaeta, Raffaele Capanna, Rodolfo Franchi, Alessandro Sci Rep Article In the last decade, Raman Spectroscopy has demonstrated to be a label-free and non-destructive optical spectroscopy able to improve diagnostic accuracy in cancer diagnosis. This is because Raman spectroscopic measurements can reveal a deep molecular understanding of the biochemical changes in cancer tissues in comparison with non-cancer tissues. In this pilot study, we apply Raman spectroscopy imaging to the diagnosis and grading of chondrogenic tumors, including enchondroma and chondrosarcomas of increasing histologic grades. The investigation included the analysis of areas of 50×50 μm(2) to approximately 200×200 μm(2), respectively. Multivariate statistical analysis, based on unsupervised (Principal Analysis Components) and supervised (Linear Discriminant Analysis) methods, differentiated between the various tumor samples, between cells and extracellular matrix, and between collagen and non-collagenous components. The results dealt out basic biochemical information on tumor progression giving the possibility to grade with certainty the malignant cartilaginous tumors under investigation. The basic processes revealed by Raman Spectroscopy are the progressive degrading of collagen type-II components, the formation of calcifications and the cell proliferation in tissues ranging from enchondroma to chondrosarcomas. This study highlights that Raman spectroscopy is particularly effective when cartilaginous tumors need to be subjected to histopathological analysis. Nature Publishing Group UK 2020-02-07 /pmc/articles/PMC7005702/ /pubmed/32034187 http://dx.doi.org/10.1038/s41598-020-58848-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article D’Acunto, Mario Gaeta, Raffaele Capanna, Rodolfo Franchi, Alessandro Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors |
title | Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors |
title_full | Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors |
title_fullStr | Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors |
title_full_unstemmed | Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors |
title_short | Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors |
title_sort | contribution of raman spectroscopy to diagnosis and grading of chondrogenic tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005702/ https://www.ncbi.nlm.nih.gov/pubmed/32034187 http://dx.doi.org/10.1038/s41598-020-58848-0 |
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