Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis

Abstract The scope of the work undertaken in this paper was to explore the feasibility and reliability of using the Raman signature of aromatic amino acids as a marker in the detection of the presence of breast cancer and perhaps, even the prediction of cancer development in very early stages of can...

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Autores principales:	Shaymus Contorno, Richard E. Darienzo, Rina Tannenbaum
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/78ec0b5037c6452eaa19fe1303f330fc
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spelling	oai:doaj.org-article:78ec0b5037c6452eaa19fe1303f330fc2021-12-02T13:57:05ZEvaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis10.1038/s41598-021-81296-32045-2322https://doaj.org/article/78ec0b5037c6452eaa19fe1303f330fc2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81296-3https://doaj.org/toc/2045-2322Abstract The scope of the work undertaken in this paper was to explore the feasibility and reliability of using the Raman signature of aromatic amino acids as a marker in the detection of the presence of breast cancer and perhaps, even the prediction of cancer development in very early stages of cancer onset. To be able to assess this hypothesis, we collected most recent and relevant literature in which Raman spectroscopy was used as an analytical tool in the evaluation of breast cell lines and breast tissue, re-analyzed all the Raman spectra, and extracted all spectral bands from each spectrum that were indicative of aromatic amino acids. The criteria for the consideration of the various papers for this study, and hence, the inclusion of the data that they contained were two-fold: (1) The papers had to focus on the characterization of breast tissue with Raman spectroscopy, and (2) the spectra provided within these papers included the spectral range of 500–1200 cm−1, which constitutes the characteristic region for aromatic amino acid vibrational modes. After all the papers that satisfied these criteria were collected, the relevant spectra from each paper were extracted, processed, normalized. All data were then plotted without bias in order to decide whether there is a pattern that can shed light on a possible diagnostic classification. Remarkably, we have been able to demonstrate that cancerous breast tissues and cells decidedly exhibit overexpression of aromatic amino acids and that the difference between the extent of their presence in cancerous cells and healthy cells is overwhelming. On the basis of this analysis, we conclude that it is possible to use the signature Raman bands of aromatic amino acids as a biomarker for the detection, evaluation and diagnosis of breast cancer.Shaymus ContornoRichard E. DarienzoRina TannenbaumNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shaymus Contorno Richard E. Darienzo Rina Tannenbaum Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis
description	Abstract The scope of the work undertaken in this paper was to explore the feasibility and reliability of using the Raman signature of aromatic amino acids as a marker in the detection of the presence of breast cancer and perhaps, even the prediction of cancer development in very early stages of cancer onset. To be able to assess this hypothesis, we collected most recent and relevant literature in which Raman spectroscopy was used as an analytical tool in the evaluation of breast cell lines and breast tissue, re-analyzed all the Raman spectra, and extracted all spectral bands from each spectrum that were indicative of aromatic amino acids. The criteria for the consideration of the various papers for this study, and hence, the inclusion of the data that they contained were two-fold: (1) The papers had to focus on the characterization of breast tissue with Raman spectroscopy, and (2) the spectra provided within these papers included the spectral range of 500–1200 cm−1, which constitutes the characteristic region for aromatic amino acid vibrational modes. After all the papers that satisfied these criteria were collected, the relevant spectra from each paper were extracted, processed, normalized. All data were then plotted without bias in order to decide whether there is a pattern that can shed light on a possible diagnostic classification. Remarkably, we have been able to demonstrate that cancerous breast tissues and cells decidedly exhibit overexpression of aromatic amino acids and that the difference between the extent of their presence in cancerous cells and healthy cells is overwhelming. On the basis of this analysis, we conclude that it is possible to use the signature Raman bands of aromatic amino acids as a biomarker for the detection, evaluation and diagnosis of breast cancer.
format	article
author	Shaymus Contorno Richard E. Darienzo Rina Tannenbaum
author_facet	Shaymus Contorno Richard E. Darienzo Rina Tannenbaum
author_sort	Shaymus Contorno
title	Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis
title_short	Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis
title_full	Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis
title_fullStr	Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis
title_full_unstemmed	Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis
title_sort	evaluation of aromatic amino acids as potential biomarkers in breast cancer by raman spectroscopy analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/78ec0b5037c6452eaa19fe1303f330fc
work_keys_str_mv	AT shaymuscontorno evaluationofaromaticaminoacidsaspotentialbiomarkersinbreastcancerbyramanspectroscopyanalysis AT richardedarienzo evaluationofaromaticaminoacidsaspotentialbiomarkersinbreastcancerbyramanspectroscopyanalysis AT rinatannenbaum evaluationofaromaticaminoacidsaspotentialbiomarkersinbreastcancerbyramanspectroscopyanalysis
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Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis

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