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Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer

Ovarian cancer is the most lethal gynecologic malignancy among women. Approximately 70–80% of patients with advanced ovarian cancer experience relapse within five years and develop platinum-resistance. The short life expectancy of patients with platinum-resistant or platinum-refractory disease under...

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Detalles Bibliográficos
Autores principales: Ryu, Joohyun, Thomas, Stefani N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125593/
https://www.ncbi.nlm.nih.gov/pubmed/34063568
http://dx.doi.org/10.3390/molecules26092674
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author Ryu, Joohyun
Thomas, Stefani N.
author_facet Ryu, Joohyun
Thomas, Stefani N.
author_sort Ryu, Joohyun
collection PubMed
description Ovarian cancer is the most lethal gynecologic malignancy among women. Approximately 70–80% of patients with advanced ovarian cancer experience relapse within five years and develop platinum-resistance. The short life expectancy of patients with platinum-resistant or platinum-refractory disease underscores the need to develop new and more effective treatment strategies. Early detection is a critical step in mitigating the risk of disease progression from early to an advanced stage disease, and protein biomarkers have an integral role in this process. The best biological diagnostic tool for ovarian cancer will likely be a combination of biomarkers. Targeted proteomics methods, including mass spectrometry-based approaches, have emerged as robust methods that can address the chasm between initial biomarker discovery and the successful verification and validation of these biomarkers enabling their clinical translation due to the robust sensitivity, specificity, and reproducibility of these versatile methods. In this review, we provide background information on the fundamental principles of biomarkers and the need for improved treatment strategies in ovarian cancer. We also provide insight into the ways in which mass spectrometry-based targeted proteomics approaches can provide greatly needed solutions to many of the challenges related to ovarian cancer biomarker development.
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spelling pubmed-81255932021-05-17 Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer Ryu, Joohyun Thomas, Stefani N. Molecules Review Ovarian cancer is the most lethal gynecologic malignancy among women. Approximately 70–80% of patients with advanced ovarian cancer experience relapse within five years and develop platinum-resistance. The short life expectancy of patients with platinum-resistant or platinum-refractory disease underscores the need to develop new and more effective treatment strategies. Early detection is a critical step in mitigating the risk of disease progression from early to an advanced stage disease, and protein biomarkers have an integral role in this process. The best biological diagnostic tool for ovarian cancer will likely be a combination of biomarkers. Targeted proteomics methods, including mass spectrometry-based approaches, have emerged as robust methods that can address the chasm between initial biomarker discovery and the successful verification and validation of these biomarkers enabling their clinical translation due to the robust sensitivity, specificity, and reproducibility of these versatile methods. In this review, we provide background information on the fundamental principles of biomarkers and the need for improved treatment strategies in ovarian cancer. We also provide insight into the ways in which mass spectrometry-based targeted proteomics approaches can provide greatly needed solutions to many of the challenges related to ovarian cancer biomarker development. MDPI 2021-05-03 /pmc/articles/PMC8125593/ /pubmed/34063568 http://dx.doi.org/10.3390/molecules26092674 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ryu, Joohyun
Thomas, Stefani N.
Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer
title Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer
title_full Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer
title_fullStr Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer
title_full_unstemmed Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer
title_short Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer
title_sort quantitative mass spectrometry-based proteomics for biomarker development in ovarian cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125593/
https://www.ncbi.nlm.nih.gov/pubmed/34063568
http://dx.doi.org/10.3390/molecules26092674
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