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Yonsei Medical Journal ; : 1144-1151, 2017.
Article in English | WPRIM | ID: wpr-15479

ABSTRACT

PURPOSE: Pleural effusion, an accumulation of fluid in the pleural space, usually occurs in patients when the rate of fluid formation exceeds the rate of fluid removal. The differential diagnosis of tuberculous pleurisy and malignant pleural effusion is a difficult task in high tuberculous prevalence areas. The aim of the present study was to identify novel biomarkers for the diagnosis of pleural fluid using proteomics technology. MATERIALS AND METHODS: We used samples from five patients with transudative pleural effusions for internal standard, five patients with tuberculous pleurisy, and the same numbers of patients having malignant effusions were enrolled in the study. We analyzed the proteins in pleural fluid from patients using a technique that combined two-dimensional liquid-phase electrophoresis and matrix assisted laser desorption/ionization-time of flight-mass spectrometry. RESULTS: We identified a total of 10 proteins with statistical significance. Among 10 proteins, trasthyretin, haptoglobin, metastasis-associated protein 1, t-complex protein 1, and fibroblast growth factor-binding protein 1 were related with malignant pleural effusions and human ceruloplasmin, lysozyme precursor, gelsolin, clusterin C complement lysis inhibitor, and peroxirexdoxin 3 were expressed several times or more in tuberculous pleural effusions. CONCLUSION: Highly expressed proteins in malignant pleural effusion were associated with carcinogenesis and cell growth, and proteins associated with tuberculous pleural effusion played a role in the response to inflammation and fibrosis. These findings will aid in the development of novel diagnostic tools for tuberculous pleurisy and malignant pleural effusion of lung cancer.


Subject(s)
Humans , Biomarkers , Carcinogenesis , Ceruloplasmin , Chaperonin Containing TCP-1 , Clusterin , Diagnosis , Diagnosis, Differential , Electrophoresis , Fibroblasts , Fibrosis , Gelsolin , Haptoglobins , Inflammation , Lung Neoplasms , Methods , Muramidase , Pleural Effusion , Pleural Effusion, Malignant , Prevalence , Proteomics , Spectrum Analysis , Tuberculosis , Tuberculosis, Pleural
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