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Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer
Ovarian cancer is the most lethal gynecologic malignancy due to the late diagnoses at advanced stages, drug resistance and the high recurrence rate. Thus, there is an urgent need to develop new techniques to diagnose and monitor ovarian cancer patients. Fourier transform infrared (FTIR) spectroscopy...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7965685/ https://www.ncbi.nlm.nih.gov/pubmed/33737836 http://dx.doi.org/10.2147/CMAR.S291906 |
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author | Li, Lei Wu, Jinguang Yang, Limin Wang, Huizi Xu, Yizhuang Shen, Keng |
author_facet | Li, Lei Wu, Jinguang Yang, Limin Wang, Huizi Xu, Yizhuang Shen, Keng |
author_sort | Li, Lei |
collection | PubMed |
description | Ovarian cancer is the most lethal gynecologic malignancy due to the late diagnoses at advanced stages, drug resistance and the high recurrence rate. Thus, there is an urgent need to develop new techniques to diagnose and monitor ovarian cancer patients. Fourier transform infrared (FTIR) spectroscopy has great potential in the diagnosis of this disease, as well as the real-time monitoring of cancer development and chemoresistance. As a noninvasive, simple and convenient technique, it can not only distinguish the molecular differences between normal and malignant tissues, but also be used to identify the characteristics of different types of ovarian cancer. FTIR spectroscopy is also widely used in monitoring cancer cells in response to antitumor drugs, distinguishing cells in different growth states, and identifying new synthetic drugs. In this paper, the applications of FTIR spectroscopy for ovarian cancer diagnosis and other works carried out so far are described in detail. |
format | Online Article Text |
id | pubmed-7965685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-79656852021-03-17 Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer Li, Lei Wu, Jinguang Yang, Limin Wang, Huizi Xu, Yizhuang Shen, Keng Cancer Manag Res Review Ovarian cancer is the most lethal gynecologic malignancy due to the late diagnoses at advanced stages, drug resistance and the high recurrence rate. Thus, there is an urgent need to develop new techniques to diagnose and monitor ovarian cancer patients. Fourier transform infrared (FTIR) spectroscopy has great potential in the diagnosis of this disease, as well as the real-time monitoring of cancer development and chemoresistance. As a noninvasive, simple and convenient technique, it can not only distinguish the molecular differences between normal and malignant tissues, but also be used to identify the characteristics of different types of ovarian cancer. FTIR spectroscopy is also widely used in monitoring cancer cells in response to antitumor drugs, distinguishing cells in different growth states, and identifying new synthetic drugs. In this paper, the applications of FTIR spectroscopy for ovarian cancer diagnosis and other works carried out so far are described in detail. Dove 2021-03-12 /pmc/articles/PMC7965685/ /pubmed/33737836 http://dx.doi.org/10.2147/CMAR.S291906 Text en © 2021 Li et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Review Li, Lei Wu, Jinguang Yang, Limin Wang, Huizi Xu, Yizhuang Shen, Keng Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer |
title | Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer |
title_full | Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer |
title_fullStr | Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer |
title_full_unstemmed | Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer |
title_short | Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer |
title_sort | fourier transform infrared spectroscopy: an innovative method for the diagnosis of ovarian cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7965685/ https://www.ncbi.nlm.nih.gov/pubmed/33737836 http://dx.doi.org/10.2147/CMAR.S291906 |
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