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Biomarkers for Predicting Malignant Pleural Mesothelioma in a Mexican Population
Background: Diagnosis of malignant pleural mesothelioma (MPM) remains a challenge, especially when resources in pathology are limited. The study aimed to evaluate cost-effective tumor markers to predict the probability of MPM in plasma samples in order to accelerate the diagnostic workup of the tiss...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036095/ https://www.ncbi.nlm.nih.gov/pubmed/30008600 http://dx.doi.org/10.7150/ijms.23939 |
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author | Aguilar-Madrid, Guadalupe Pesch, Beate Calderón-Aranda, Emma S Burek, Katarzyna Jiménez-Ramírez, Carmina Juárez-Pérez, Cuauhtémoc Arturo Ochoa-Vázquez, María Dolores Torre-Bouscoulet, Luis Acosta-Saavedra, Leonor Concepción Sada-Ovalle, Isabel García-Figueroa, Jorge Alvarado-Cabrero, Isabel Castillo-González, Patricia Báez-Saldaña, Alejandra Renata Pérez-Padilla, José Rogelio Osnaya-Juárez, Juvencio Rivera-Rosales, Rosa María García-Bazán, Eric Marco Bautista-Aragón, Yolanda Lizbeth Lazcano-Hernandez, Elimelec Munguía-Canales, Daniel Alejandro Argote-Greene, Luis Marcelo Taeger, Dirk Weber, Daniel Gilbert Casjens, Swaantje Raiko, Irina Brüning, Thomas Johnen, Georg |
author_facet | Aguilar-Madrid, Guadalupe Pesch, Beate Calderón-Aranda, Emma S Burek, Katarzyna Jiménez-Ramírez, Carmina Juárez-Pérez, Cuauhtémoc Arturo Ochoa-Vázquez, María Dolores Torre-Bouscoulet, Luis Acosta-Saavedra, Leonor Concepción Sada-Ovalle, Isabel García-Figueroa, Jorge Alvarado-Cabrero, Isabel Castillo-González, Patricia Báez-Saldaña, Alejandra Renata Pérez-Padilla, José Rogelio Osnaya-Juárez, Juvencio Rivera-Rosales, Rosa María García-Bazán, Eric Marco Bautista-Aragón, Yolanda Lizbeth Lazcano-Hernandez, Elimelec Munguía-Canales, Daniel Alejandro Argote-Greene, Luis Marcelo Taeger, Dirk Weber, Daniel Gilbert Casjens, Swaantje Raiko, Irina Brüning, Thomas Johnen, Georg |
author_sort | Aguilar-Madrid, Guadalupe |
collection | PubMed |
description | Background: Diagnosis of malignant pleural mesothelioma (MPM) remains a challenge, especially when resources in pathology are limited. The study aimed to evaluate cost-effective tumor markers to predict the probability of MPM in plasma samples in order to accelerate the diagnostic workup of the tissue of potential cases. Methods: We conducted a case-control study stratified by gender, which included 75 incident cases with MPM from three Mexican hospitals and 240 controls frequency-matched by age and year of blood drawing. Plasma samples were obtained to determine mesothelin, calretinin, and thrombomodulin using enzyme-linked immunosorbent assays (ELISAs). We estimated the performance of the markers based on the area under the curve (AUC) and predicted the probability of an MPM diagnosis of a potential case based on the marker concentrations. Results: Mesothelin and calretinin, but not thrombomodulin were significant predictors of a diagnosis of MPM with AUCs of 0.90 (95% CI: 0.85-0.95), 0.88 (95% CI: 0.82-0.94), and 0.51 (95% CI: 0.41-0.61) in males, respectively. For MPM diagnosis in men we estimated a true positive rate of 0.79 and a false positive rate of 0.11 for mesothelin. The corresponding figures for calretinin were 0.81 and 0.18, and for both markers combined 0.84 and 0.11, respectively. Conclusions: We developed prediction models based on plasma concentrations of mesothelin and calretinin to estimate the probability of an MPM diagnosis. Both markers showed a good performance and could be used to accelerate the diagnostic workup of tissue samples in Mexico. |
format | Online Article Text |
id | pubmed-6036095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-60360952018-07-15 Biomarkers for Predicting Malignant Pleural Mesothelioma in a Mexican Population Aguilar-Madrid, Guadalupe Pesch, Beate Calderón-Aranda, Emma S Burek, Katarzyna Jiménez-Ramírez, Carmina Juárez-Pérez, Cuauhtémoc Arturo Ochoa-Vázquez, María Dolores Torre-Bouscoulet, Luis Acosta-Saavedra, Leonor Concepción Sada-Ovalle, Isabel García-Figueroa, Jorge Alvarado-Cabrero, Isabel Castillo-González, Patricia Báez-Saldaña, Alejandra Renata Pérez-Padilla, José Rogelio Osnaya-Juárez, Juvencio Rivera-Rosales, Rosa María García-Bazán, Eric Marco Bautista-Aragón, Yolanda Lizbeth Lazcano-Hernandez, Elimelec Munguía-Canales, Daniel Alejandro Argote-Greene, Luis Marcelo Taeger, Dirk Weber, Daniel Gilbert Casjens, Swaantje Raiko, Irina Brüning, Thomas Johnen, Georg Int J Med Sci Research Paper Background: Diagnosis of malignant pleural mesothelioma (MPM) remains a challenge, especially when resources in pathology are limited. The study aimed to evaluate cost-effective tumor markers to predict the probability of MPM in plasma samples in order to accelerate the diagnostic workup of the tissue of potential cases. Methods: We conducted a case-control study stratified by gender, which included 75 incident cases with MPM from three Mexican hospitals and 240 controls frequency-matched by age and year of blood drawing. Plasma samples were obtained to determine mesothelin, calretinin, and thrombomodulin using enzyme-linked immunosorbent assays (ELISAs). We estimated the performance of the markers based on the area under the curve (AUC) and predicted the probability of an MPM diagnosis of a potential case based on the marker concentrations. Results: Mesothelin and calretinin, but not thrombomodulin were significant predictors of a diagnosis of MPM with AUCs of 0.90 (95% CI: 0.85-0.95), 0.88 (95% CI: 0.82-0.94), and 0.51 (95% CI: 0.41-0.61) in males, respectively. For MPM diagnosis in men we estimated a true positive rate of 0.79 and a false positive rate of 0.11 for mesothelin. The corresponding figures for calretinin were 0.81 and 0.18, and for both markers combined 0.84 and 0.11, respectively. Conclusions: We developed prediction models based on plasma concentrations of mesothelin and calretinin to estimate the probability of an MPM diagnosis. Both markers showed a good performance and could be used to accelerate the diagnostic workup of tissue samples in Mexico. Ivyspring International Publisher 2018-06-04 /pmc/articles/PMC6036095/ /pubmed/30008600 http://dx.doi.org/10.7150/ijms.23939 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Aguilar-Madrid, Guadalupe Pesch, Beate Calderón-Aranda, Emma S Burek, Katarzyna Jiménez-Ramírez, Carmina Juárez-Pérez, Cuauhtémoc Arturo Ochoa-Vázquez, María Dolores Torre-Bouscoulet, Luis Acosta-Saavedra, Leonor Concepción Sada-Ovalle, Isabel García-Figueroa, Jorge Alvarado-Cabrero, Isabel Castillo-González, Patricia Báez-Saldaña, Alejandra Renata Pérez-Padilla, José Rogelio Osnaya-Juárez, Juvencio Rivera-Rosales, Rosa María García-Bazán, Eric Marco Bautista-Aragón, Yolanda Lizbeth Lazcano-Hernandez, Elimelec Munguía-Canales, Daniel Alejandro Argote-Greene, Luis Marcelo Taeger, Dirk Weber, Daniel Gilbert Casjens, Swaantje Raiko, Irina Brüning, Thomas Johnen, Georg Biomarkers for Predicting Malignant Pleural Mesothelioma in a Mexican Population |
title | Biomarkers for Predicting Malignant Pleural Mesothelioma in a Mexican Population |
title_full | Biomarkers for Predicting Malignant Pleural Mesothelioma in a Mexican Population |
title_fullStr | Biomarkers for Predicting Malignant Pleural Mesothelioma in a Mexican Population |
title_full_unstemmed | Biomarkers for Predicting Malignant Pleural Mesothelioma in a Mexican Population |
title_short | Biomarkers for Predicting Malignant Pleural Mesothelioma in a Mexican Population |
title_sort | biomarkers for predicting malignant pleural mesothelioma in a mexican population |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036095/ https://www.ncbi.nlm.nih.gov/pubmed/30008600 http://dx.doi.org/10.7150/ijms.23939 |
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