_version_ 1783338102221176832
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
work_keys_str_mv AT aguilarmadridguadalupe biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT peschbeate biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT calderonarandaemmas biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT burekkatarzyna biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT jimenezramirezcarmina biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT juarezperezcuauhtemocarturo biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT ochoavazquezmariadolores biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT torrebouscouletluis biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT acostasaavedraleonorconcepcion biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT sadaovalleisabel biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT garciafigueroajorge biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT alvaradocabreroisabel biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT castillogonzalezpatricia biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT baezsaldanaalejandrarenata biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT perezpadillajoserogelio biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT osnayajuarezjuvencio biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT riverarosalesrosamaria biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT garciabazanericmarco biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT bautistaaragonyolandalizbeth biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT lazcanohernandezelimelec biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT munguiacanalesdanielalejandro biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT argotegreeneluismarcelo biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT taegerdirk biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT weberdanielgilbert biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT casjensswaantje biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT raikoirina biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT bruningthomas biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation
AT johnengeorg biomarkersforpredictingmalignantpleuralmesotheliomainamexicanpopulation