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Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence
Endometrial cancer is the most common gynecological cancer worldwide. Classifying endometrial cancer into low- or high-risk groups based on the following features is recommended: tumor grade, lymphovascular space invasion, myometrial involvement, and non-endometrioid histology. Despite the recent pr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572223/ https://www.ncbi.nlm.nih.gov/pubmed/37833976 http://dx.doi.org/10.3390/ijms241914528 |
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author | Pietkiewicz, Dagmara Zaborowski, Mikołaj Piotr Jaz, Kamila Matuszewska, Eliza Światły-Błaszkiewicz, Agata Kluz, Tomasz Kokot, Zenon J. Nowak-Markwitz, Ewa Matysiak, Jan |
author_facet | Pietkiewicz, Dagmara Zaborowski, Mikołaj Piotr Jaz, Kamila Matuszewska, Eliza Światły-Błaszkiewicz, Agata Kluz, Tomasz Kokot, Zenon J. Nowak-Markwitz, Ewa Matysiak, Jan |
author_sort | Pietkiewicz, Dagmara |
collection | PubMed |
description | Endometrial cancer is the most common gynecological cancer worldwide. Classifying endometrial cancer into low- or high-risk groups based on the following features is recommended: tumor grade, lymphovascular space invasion, myometrial involvement, and non-endometrioid histology. Despite the recent progress in molecular profiling of endometrial cancer, a substantial group of patients are misclassified based on the current criteria. This study aimed to identify proteins that could be used as biomarkers for the stratification of endometrial cancer patients into low- or high-risk groups. The proteomic analysis of serum samples from endometrial cancer patients was performed using matrix-assisted laser desorption/ionization–time of flight mass spectrometry (MALDI-TOF MS). The data were then analyzed using chemometric algorithms to identify potential biomarkers. Nineteen precursor ions were identified as fragments of eighteen proteins which included (1) connective tissue matrix proteins, (2) cytoskeletal proteins, and (3) innate immune system molecules and stress proteins. These biomarkers could be used to stratify the high- and low-risk patients, thus enabling more precise treatment decisions. |
format | Online Article Text |
id | pubmed-10572223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105722232023-10-14 Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence Pietkiewicz, Dagmara Zaborowski, Mikołaj Piotr Jaz, Kamila Matuszewska, Eliza Światły-Błaszkiewicz, Agata Kluz, Tomasz Kokot, Zenon J. Nowak-Markwitz, Ewa Matysiak, Jan Int J Mol Sci Article Endometrial cancer is the most common gynecological cancer worldwide. Classifying endometrial cancer into low- or high-risk groups based on the following features is recommended: tumor grade, lymphovascular space invasion, myometrial involvement, and non-endometrioid histology. Despite the recent progress in molecular profiling of endometrial cancer, a substantial group of patients are misclassified based on the current criteria. This study aimed to identify proteins that could be used as biomarkers for the stratification of endometrial cancer patients into low- or high-risk groups. The proteomic analysis of serum samples from endometrial cancer patients was performed using matrix-assisted laser desorption/ionization–time of flight mass spectrometry (MALDI-TOF MS). The data were then analyzed using chemometric algorithms to identify potential biomarkers. Nineteen precursor ions were identified as fragments of eighteen proteins which included (1) connective tissue matrix proteins, (2) cytoskeletal proteins, and (3) innate immune system molecules and stress proteins. These biomarkers could be used to stratify the high- and low-risk patients, thus enabling more precise treatment decisions. MDPI 2023-09-25 /pmc/articles/PMC10572223/ /pubmed/37833976 http://dx.doi.org/10.3390/ijms241914528 Text en © 2023 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 | Article Pietkiewicz, Dagmara Zaborowski, Mikołaj Piotr Jaz, Kamila Matuszewska, Eliza Światły-Błaszkiewicz, Agata Kluz, Tomasz Kokot, Zenon J. Nowak-Markwitz, Ewa Matysiak, Jan Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence |
title | Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence |
title_full | Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence |
title_fullStr | Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence |
title_full_unstemmed | Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence |
title_short | Serum Proteomic Profiles of Patients with High and Low Risk of Endometrial Cancer Recurrence |
title_sort | serum proteomic profiles of patients with high and low risk of endometrial cancer recurrence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572223/ https://www.ncbi.nlm.nih.gov/pubmed/37833976 http://dx.doi.org/10.3390/ijms241914528 |
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