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Identifying Thoracic Malignancies Through Pleural Fluid Biomarkers: A Predictive Multivariate Model
The diagnosis of malignant pleural effusions may be challenging when cytological examination of aspirated pleural fluid is equivocal or noncontributory. The purpose of this study was to identify protein candidate biomarkers differentially expressed in the pleural fluid of patients with mesothelioma,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4998909/ https://www.ncbi.nlm.nih.gov/pubmed/26962828 http://dx.doi.org/10.1097/MD.0000000000003044 |
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author | Porcel, José M. Esquerda, Aureli Martínez-Alonso, Montserrat Bielsa, Silvia Salud, Antonieta |
author_facet | Porcel, José M. Esquerda, Aureli Martínez-Alonso, Montserrat Bielsa, Silvia Salud, Antonieta |
author_sort | Porcel, José M. |
collection | PubMed |
description | The diagnosis of malignant pleural effusions may be challenging when cytological examination of aspirated pleural fluid is equivocal or noncontributory. The purpose of this study was to identify protein candidate biomarkers differentially expressed in the pleural fluid of patients with mesothelioma, lung adenocarcinoma, lymphoma, and tuberculosis (TB). A multiplex protein biochip comprising 120 biomarkers was used to determine the pleural fluid protein profile of 29 mesotheliomas, 29 lung adenocarcinomas, 12 lymphomas, and 35 tuberculosis. The relative abundance of these predetermined biomarkers among groups served to establish the differential diagnosis of: malignant versus benign (TB) effusions, lung adenocarcinoma versus mesothelioma, and lymphoma versus TB. The selected putative markers were validated using widely available commercial techniques in an independent sample of 102 patients. Significant differences were found in the protein expressions of metalloproteinase-9 (MMP-9), cathepsin-B, C-reactive protein, and chondroitin sulfate between malignant and TB effusions. When integrated into a scoring model, these proteins yielded 85% sensitivity, 100% specificity, and an area under the curve (AUC) of 0.98 for labeling malignancy in the verification sample. For lung adenocarcinoma–mesothelioma discrimination, combining CA19-9, CA15-3, and kallikrein-12 had maximal discriminatory capacity (65% sensitivity, 100% specificity, AUC 0.94); figures which also refer to the validation set. Last, cathepsin-B in isolation was only moderately useful (sensitivity 89%, specificity 62%, AUC 0.75) in separating lymphomatous and TB effusions. However, this last differentiation improved significantly when cathepsin-B was used with respect to the patient's age (sensitivity 72%, specificity 100%, AUC 0.94). In conclusion, panels of 4 (i.e., MMP-9, cathepsin-B, C-reactive protein, chondroitin sulfate), or 3 (i.e., CA19-9, CA15-3, kallikrein-12) different protein biomarkers on pleural fluid samples are highly discriminative for signaling a malignant versus tuberculous effusion, or lung adenocarcinoma versus mesothelioma, respectively. Cathepsin-B could also be helpful in establishing the presence of a lymphomatous effusion versus that of TB, if the patient's age is simultaneously taken into consideration. |
format | Online Article Text |
id | pubmed-4998909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-49989092016-08-29 Identifying Thoracic Malignancies Through Pleural Fluid Biomarkers: A Predictive Multivariate Model Porcel, José M. Esquerda, Aureli Martínez-Alonso, Montserrat Bielsa, Silvia Salud, Antonieta Medicine (Baltimore) 6700 The diagnosis of malignant pleural effusions may be challenging when cytological examination of aspirated pleural fluid is equivocal or noncontributory. The purpose of this study was to identify protein candidate biomarkers differentially expressed in the pleural fluid of patients with mesothelioma, lung adenocarcinoma, lymphoma, and tuberculosis (TB). A multiplex protein biochip comprising 120 biomarkers was used to determine the pleural fluid protein profile of 29 mesotheliomas, 29 lung adenocarcinomas, 12 lymphomas, and 35 tuberculosis. The relative abundance of these predetermined biomarkers among groups served to establish the differential diagnosis of: malignant versus benign (TB) effusions, lung adenocarcinoma versus mesothelioma, and lymphoma versus TB. The selected putative markers were validated using widely available commercial techniques in an independent sample of 102 patients. Significant differences were found in the protein expressions of metalloproteinase-9 (MMP-9), cathepsin-B, C-reactive protein, and chondroitin sulfate between malignant and TB effusions. When integrated into a scoring model, these proteins yielded 85% sensitivity, 100% specificity, and an area under the curve (AUC) of 0.98 for labeling malignancy in the verification sample. For lung adenocarcinoma–mesothelioma discrimination, combining CA19-9, CA15-3, and kallikrein-12 had maximal discriminatory capacity (65% sensitivity, 100% specificity, AUC 0.94); figures which also refer to the validation set. Last, cathepsin-B in isolation was only moderately useful (sensitivity 89%, specificity 62%, AUC 0.75) in separating lymphomatous and TB effusions. However, this last differentiation improved significantly when cathepsin-B was used with respect to the patient's age (sensitivity 72%, specificity 100%, AUC 0.94). In conclusion, panels of 4 (i.e., MMP-9, cathepsin-B, C-reactive protein, chondroitin sulfate), or 3 (i.e., CA19-9, CA15-3, kallikrein-12) different protein biomarkers on pleural fluid samples are highly discriminative for signaling a malignant versus tuberculous effusion, or lung adenocarcinoma versus mesothelioma, respectively. Cathepsin-B could also be helpful in establishing the presence of a lymphomatous effusion versus that of TB, if the patient's age is simultaneously taken into consideration. Wolters Kluwer Health 2016-03-11 /pmc/articles/PMC4998909/ /pubmed/26962828 http://dx.doi.org/10.1097/MD.0000000000003044 Text en Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 6700 Porcel, José M. Esquerda, Aureli Martínez-Alonso, Montserrat Bielsa, Silvia Salud, Antonieta Identifying Thoracic Malignancies Through Pleural Fluid Biomarkers: A Predictive Multivariate Model |
title | Identifying Thoracic Malignancies Through Pleural Fluid Biomarkers: A Predictive Multivariate Model |
title_full | Identifying Thoracic Malignancies Through Pleural Fluid Biomarkers: A Predictive Multivariate Model |
title_fullStr | Identifying Thoracic Malignancies Through Pleural Fluid Biomarkers: A Predictive Multivariate Model |
title_full_unstemmed | Identifying Thoracic Malignancies Through Pleural Fluid Biomarkers: A Predictive Multivariate Model |
title_short | Identifying Thoracic Malignancies Through Pleural Fluid Biomarkers: A Predictive Multivariate Model |
title_sort | identifying thoracic malignancies through pleural fluid biomarkers: a predictive multivariate model |
topic | 6700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4998909/ https://www.ncbi.nlm.nih.gov/pubmed/26962828 http://dx.doi.org/10.1097/MD.0000000000003044 |
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