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ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples
This study presents, attenuated total reflection Fourier transforms infrared spectroscopy of dried serum samples in an effort to assess biochemical changes induced by non-Hodgkin’s lymphoma and subcutaneous melanoma. An EL4 mouse model of non-Hodgkin lymphoma and a B16 mouse model of subcutaneous me...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717051/ https://www.ncbi.nlm.nih.gov/pubmed/29209060 http://dx.doi.org/10.1038/s41598-017-17027-4 |
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author | Ghimire, Hemendra Venkataramani, Mahathi Bian, Zhen Liu, Yuan Perera, A. G. Unil |
author_facet | Ghimire, Hemendra Venkataramani, Mahathi Bian, Zhen Liu, Yuan Perera, A. G. Unil |
author_sort | Ghimire, Hemendra |
collection | PubMed |
description | This study presents, attenuated total reflection Fourier transforms infrared spectroscopy of dried serum samples in an effort to assess biochemical changes induced by non-Hodgkin’s lymphoma and subcutaneous melanoma. An EL4 mouse model of non-Hodgkin lymphoma and a B16 mouse model of subcutaneous melanoma are used to extract a snapshot of tumor-associated alteration in the serum. The study of both cancer-bearing mouse models in wild types and their corresponding control types, emphasizes the diagnostic potential of this approach as a screening technique for non-Hodgkin lymphoma and melanoma skin cancer. Infrared absorbance values of the different spectral bands, hierarchical clustering and integral values of the component bands by curve fitting, show statistically significant differences (student’s t-test, two-tailed unequal variance p-value < 0.05) between spectra representing healthy and tumorous mouse. This technique may thus be useful for having individualized route maps for rapid evaluation of lymphoma and melanoma status and associated therapeutic modalities. |
format | Online Article Text |
id | pubmed-5717051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57170512017-12-08 ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples Ghimire, Hemendra Venkataramani, Mahathi Bian, Zhen Liu, Yuan Perera, A. G. Unil Sci Rep Article This study presents, attenuated total reflection Fourier transforms infrared spectroscopy of dried serum samples in an effort to assess biochemical changes induced by non-Hodgkin’s lymphoma and subcutaneous melanoma. An EL4 mouse model of non-Hodgkin lymphoma and a B16 mouse model of subcutaneous melanoma are used to extract a snapshot of tumor-associated alteration in the serum. The study of both cancer-bearing mouse models in wild types and their corresponding control types, emphasizes the diagnostic potential of this approach as a screening technique for non-Hodgkin lymphoma and melanoma skin cancer. Infrared absorbance values of the different spectral bands, hierarchical clustering and integral values of the component bands by curve fitting, show statistically significant differences (student’s t-test, two-tailed unequal variance p-value < 0.05) between spectra representing healthy and tumorous mouse. This technique may thus be useful for having individualized route maps for rapid evaluation of lymphoma and melanoma status and associated therapeutic modalities. Nature Publishing Group UK 2017-12-05 /pmc/articles/PMC5717051/ /pubmed/29209060 http://dx.doi.org/10.1038/s41598-017-17027-4 Text en © The Author(s) 2017 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 Ghimire, Hemendra Venkataramani, Mahathi Bian, Zhen Liu, Yuan Perera, A. G. Unil ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples |
title | ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples |
title_full | ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples |
title_fullStr | ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples |
title_full_unstemmed | ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples |
title_short | ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples |
title_sort | atr-ftir spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717051/ https://www.ncbi.nlm.nih.gov/pubmed/29209060 http://dx.doi.org/10.1038/s41598-017-17027-4 |
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