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Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples

About 30% of endometrial cancer (EC) patients are diagnosed at an advanced stage of the disease, which is associated with a drastic decrease in the 5-year survival rate. The identification of biomarkers in uterine aspirate samples, which are collected by a minimally invasive procedure, would improve...

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Autores principales: Martinez-Garcia, Elena, Lesur, Antoine, Devis, Laura, Campos, Alexandre, Cabrera, Silvia, van Oostrum, Jan, Matias-Guiu, Xavier, Gil-Moreno, Antonio, Reventos, Jaume, Colas, Eva, Domon, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288171/
https://www.ncbi.nlm.nih.gov/pubmed/27447978
http://dx.doi.org/10.18632/oncotarget.10632
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author Martinez-Garcia, Elena
Lesur, Antoine
Devis, Laura
Campos, Alexandre
Cabrera, Silvia
van Oostrum, Jan
Matias-Guiu, Xavier
Gil-Moreno, Antonio
Reventos, Jaume
Colas, Eva
Domon, Bruno
author_facet Martinez-Garcia, Elena
Lesur, Antoine
Devis, Laura
Campos, Alexandre
Cabrera, Silvia
van Oostrum, Jan
Matias-Guiu, Xavier
Gil-Moreno, Antonio
Reventos, Jaume
Colas, Eva
Domon, Bruno
author_sort Martinez-Garcia, Elena
collection PubMed
description About 30% of endometrial cancer (EC) patients are diagnosed at an advanced stage of the disease, which is associated with a drastic decrease in the 5-year survival rate. The identification of biomarkers in uterine aspirate samples, which are collected by a minimally invasive procedure, would improve early diagnosis of EC. We present a sequential workflow to select from a list of potential EC biomarkers, those which are the most promising to enter a validation study. After the elimination of confounding contributions by residual blood proteins, 52 potential biomarkers were analyzed in uterine aspirates from 20 EC patients and 18 non-EC controls by a high-resolution accurate mass spectrometer operated in parallel reaction monitoring mode. The differential abundance of 26 biomarkers was observed, and among them ten proteins showed a high sensitivity and specificity (AUC > 0.9). The study demonstrates that uterine aspirates are valuable samples for EC protein biomarkers screening. It also illustrates the importance of a biomarker verification phase to fill the gap between discovery and validation studies and highlights the benefits of high resolution mass spectrometry for this purpose. The proteins verified in this study have an increased likelihood to become a clinical assay after a subsequent validation phase.
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spelling pubmed-52881712017-02-07 Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples Martinez-Garcia, Elena Lesur, Antoine Devis, Laura Campos, Alexandre Cabrera, Silvia van Oostrum, Jan Matias-Guiu, Xavier Gil-Moreno, Antonio Reventos, Jaume Colas, Eva Domon, Bruno Oncotarget Research Paper About 30% of endometrial cancer (EC) patients are diagnosed at an advanced stage of the disease, which is associated with a drastic decrease in the 5-year survival rate. The identification of biomarkers in uterine aspirate samples, which are collected by a minimally invasive procedure, would improve early diagnosis of EC. We present a sequential workflow to select from a list of potential EC biomarkers, those which are the most promising to enter a validation study. After the elimination of confounding contributions by residual blood proteins, 52 potential biomarkers were analyzed in uterine aspirates from 20 EC patients and 18 non-EC controls by a high-resolution accurate mass spectrometer operated in parallel reaction monitoring mode. The differential abundance of 26 biomarkers was observed, and among them ten proteins showed a high sensitivity and specificity (AUC > 0.9). The study demonstrates that uterine aspirates are valuable samples for EC protein biomarkers screening. It also illustrates the importance of a biomarker verification phase to fill the gap between discovery and validation studies and highlights the benefits of high resolution mass spectrometry for this purpose. The proteins verified in this study have an increased likelihood to become a clinical assay after a subsequent validation phase. Impact Journals LLC 2016-07-16 /pmc/articles/PMC5288171/ /pubmed/27447978 http://dx.doi.org/10.18632/oncotarget.10632 Text en Copyright: © 2016 Martinez-Garcia et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Martinez-Garcia, Elena
Lesur, Antoine
Devis, Laura
Campos, Alexandre
Cabrera, Silvia
van Oostrum, Jan
Matias-Guiu, Xavier
Gil-Moreno, Antonio
Reventos, Jaume
Colas, Eva
Domon, Bruno
Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples
title Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples
title_full Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples
title_fullStr Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples
title_full_unstemmed Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples
title_short Development of a sequential workflow based on LC-PRM for the verification of endometrial cancer protein biomarkers in uterine aspirate samples
title_sort development of a sequential workflow based on lc-prm for the verification of endometrial cancer protein biomarkers in uterine aspirate samples
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288171/
https://www.ncbi.nlm.nih.gov/pubmed/27447978
http://dx.doi.org/10.18632/oncotarget.10632
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