Predicting Malignant Mesothelioma by Analyzing Serum N-ERC/Mesothelin, C-ERC/Mesothelin, Hyaluronan, Osteopontin, and Syndecan-1 Levels

Objective: Tumor biomarkers are promising study areas for the early or differential diagnosis of malignant pleural mesothelioma (MPM). This study aimed to determine the effectiveness of analyzing serum N-ERC/mesothelin, C-ERC/mesothelin, hyaluronan, osteopontin, and syndecan-1 levels for distingui...

Full description

Bibliographic Details
Main Authors: Sertaç Arslan, Filip Mundt, Selma Metintaş, Güntülü Ak, Katalin Dobra, Anders Hjerpe, Muzaffer Metintaş
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-12-01
Series:Eurasian Journal of Pulmonology
Subjects:
Online Access:http://www.eurasianjpulmonol.com/jvi.aspx?pdir=eurasianjpulmonol&plng=eng&un=EJP-50023
id doaj-f8bef51e080b4d65b32b3de11d158356
record_format Article
spelling doaj-f8bef51e080b4d65b32b3de11d1583562020-11-24T20:50:10ZengWolters Kluwer Medknow PublicationsEurasian Journal of Pulmonology 2148-54022017-12-0119313013810.5152/ejp.2017.50023Predicting Malignant Mesothelioma by Analyzing Serum N-ERC/Mesothelin, C-ERC/Mesothelin, Hyaluronan, Osteopontin, and Syndecan-1 LevelsSertaç Arslan0Filip Mundt1Selma Metintaş2Güntülü Ak3Katalin Dobra4Anders Hjerpe5Muzaffer Metintaş6Department of Pulmonology, Hitit University School of Medicine, Çorum, TurkeyDivision of Pathology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, SwedenDepartment of Public Health, Eskişehir Osmangazi University School of Medicine, Eskişehir, TurkeyLung and Pleural Cancers Application and Research Center, Eskişehir Osmangazi University School of Medicine, Eskişehir, TurkeyDivision of Pathology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, SwedenDivision of Pathology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, SwedenLung and Pleural Cancers Application and Research Center, Eskişehir Osmangazi University School of Medicine, Eskişehir, TurkeyObjective: Tumor biomarkers are promising study areas for the early or differential diagnosis of malignant pleural mesothelioma (MPM). This study aimed to determine the effectiveness of analyzing serum N-ERC/mesothelin, C-ERC/mesothelin, hyaluronan, osteopontin, and syndecan-1 levels for distinguishing patients with MPM from those with metastatic malignant pleural diseases (MMPDs), benign pleural diseases (BPDs), and benign asbestos pleurisy (BAP). Methods: Tumor biomarker levels of serum samples of 230 cases were analyzed by enzyme-linked immunosorbent assays. Results: All investigated biomarkers did not reveal sufficient diagnostic information to distinguish MPM from MMPD. N-ERC/mesothelin showed moderate ability to distinguish MPM from BPDs and particularly BAP (sensitivities of 67% and 73%, respectively, and specificities of 84% and 86%, respectively). C-ERC/mesothelin had a lower efficacy than N-ERC/mesothelin, whereas osteopontin had a high specificity for distinguishing MPM from other pleural diseases (80%) but with a poor sensitivity (32%). Hyaluronan and syndecan-1 had only limited effects as individual biomarkers. However, logistic regression analysis indicated that all the studied biomarkers could contribute, and a logistic model improved their performance, with the receiver operating characteristic curve plot showing an area under the curve of 0.75. Thus, the investigated biomarkers were unable to provide sufficient sensitivity and specificity levels; however, they all may contribute as a basis for an expanded logistic multiparameter model. Conclusion: Patients with high N-ERC/mesothelin and C-ERC/mesothelin levels have a high risk for MPM; appropriate invasive procedures should be performed. The patients who have high tumor biomarker levels and undefinite histopathological investigation results at the first-line procedure, should be managed using further invasive procedures.http://www.eurasianjpulmonol.com/jvi.aspx?pdir=eurasianjpulmonol&plng=eng&un=EJP-50023Hyaluronanmegakaryocyte potentiating factormesothelinmesotheliomaosteopontinsyndecan-1
collection DOAJ
language English
format Article
sources DOAJ
author Sertaç Arslan
Filip Mundt
Selma Metintaş
Güntülü Ak
Katalin Dobra
Anders Hjerpe
Muzaffer Metintaş
spellingShingle Sertaç Arslan
Filip Mundt
Selma Metintaş
Güntülü Ak
Katalin Dobra
Anders Hjerpe
Muzaffer Metintaş
Predicting Malignant Mesothelioma by Analyzing Serum N-ERC/Mesothelin, C-ERC/Mesothelin, Hyaluronan, Osteopontin, and Syndecan-1 Levels
Eurasian Journal of Pulmonology
Hyaluronan
megakaryocyte potentiating factor
mesothelin
mesothelioma
osteopontin
syndecan-1
author_facet Sertaç Arslan
Filip Mundt
Selma Metintaş
Güntülü Ak
Katalin Dobra
Anders Hjerpe
Muzaffer Metintaş
author_sort Sertaç Arslan
title Predicting Malignant Mesothelioma by Analyzing Serum N-ERC/Mesothelin, C-ERC/Mesothelin, Hyaluronan, Osteopontin, and Syndecan-1 Levels
title_short Predicting Malignant Mesothelioma by Analyzing Serum N-ERC/Mesothelin, C-ERC/Mesothelin, Hyaluronan, Osteopontin, and Syndecan-1 Levels
title_full Predicting Malignant Mesothelioma by Analyzing Serum N-ERC/Mesothelin, C-ERC/Mesothelin, Hyaluronan, Osteopontin, and Syndecan-1 Levels
title_fullStr Predicting Malignant Mesothelioma by Analyzing Serum N-ERC/Mesothelin, C-ERC/Mesothelin, Hyaluronan, Osteopontin, and Syndecan-1 Levels
title_full_unstemmed Predicting Malignant Mesothelioma by Analyzing Serum N-ERC/Mesothelin, C-ERC/Mesothelin, Hyaluronan, Osteopontin, and Syndecan-1 Levels
title_sort predicting malignant mesothelioma by analyzing serum n-erc/mesothelin, c-erc/mesothelin, hyaluronan, osteopontin, and syndecan-1 levels
publisher Wolters Kluwer Medknow Publications
series Eurasian Journal of Pulmonology
issn 2148-5402
publishDate 2017-12-01
description Objective: Tumor biomarkers are promising study areas for the early or differential diagnosis of malignant pleural mesothelioma (MPM). This study aimed to determine the effectiveness of analyzing serum N-ERC/mesothelin, C-ERC/mesothelin, hyaluronan, osteopontin, and syndecan-1 levels for distinguishing patients with MPM from those with metastatic malignant pleural diseases (MMPDs), benign pleural diseases (BPDs), and benign asbestos pleurisy (BAP). Methods: Tumor biomarker levels of serum samples of 230 cases were analyzed by enzyme-linked immunosorbent assays. Results: All investigated biomarkers did not reveal sufficient diagnostic information to distinguish MPM from MMPD. N-ERC/mesothelin showed moderate ability to distinguish MPM from BPDs and particularly BAP (sensitivities of 67% and 73%, respectively, and specificities of 84% and 86%, respectively). C-ERC/mesothelin had a lower efficacy than N-ERC/mesothelin, whereas osteopontin had a high specificity for distinguishing MPM from other pleural diseases (80%) but with a poor sensitivity (32%). Hyaluronan and syndecan-1 had only limited effects as individual biomarkers. However, logistic regression analysis indicated that all the studied biomarkers could contribute, and a logistic model improved their performance, with the receiver operating characteristic curve plot showing an area under the curve of 0.75. Thus, the investigated biomarkers were unable to provide sufficient sensitivity and specificity levels; however, they all may contribute as a basis for an expanded logistic multiparameter model. Conclusion: Patients with high N-ERC/mesothelin and C-ERC/mesothelin levels have a high risk for MPM; appropriate invasive procedures should be performed. The patients who have high tumor biomarker levels and undefinite histopathological investigation results at the first-line procedure, should be managed using further invasive procedures.
topic Hyaluronan
megakaryocyte potentiating factor
mesothelin
mesothelioma
osteopontin
syndecan-1
url http://www.eurasianjpulmonol.com/jvi.aspx?pdir=eurasianjpulmonol&plng=eng&un=EJP-50023
work_keys_str_mv AT sertacarslan predictingmalignantmesotheliomabyanalyzingserumnercmesothelincercmesothelinhyaluronanosteopontinandsyndecan1levels
AT filipmundt predictingmalignantmesotheliomabyanalyzingserumnercmesothelincercmesothelinhyaluronanosteopontinandsyndecan1levels
AT selmametintas predictingmalignantmesotheliomabyanalyzingserumnercmesothelincercmesothelinhyaluronanosteopontinandsyndecan1levels
AT guntuluak predictingmalignantmesotheliomabyanalyzingserumnercmesothelincercmesothelinhyaluronanosteopontinandsyndecan1levels
AT katalindobra predictingmalignantmesotheliomabyanalyzingserumnercmesothelincercmesothelinhyaluronanosteopontinandsyndecan1levels
AT andershjerpe predictingmalignantmesotheliomabyanalyzingserumnercmesothelincercmesothelinhyaluronanosteopontinandsyndecan1levels
AT muzaffermetintas predictingmalignantmesotheliomabyanalyzingserumnercmesothelincercmesothelinhyaluronanosteopontinandsyndecan1levels
_version_ 1716804490357637120