Label-Free Quantitative Proteomics Identifies Novel Biomarkers for Distinguishing Tuberculosis Pleural Effusion from Malignant Pleural Effusion.
diagnostic model
label-free quantitative proteomics
malignant pleural effusion
protein biomarkers
tuberculosis pleural effusion
Journal
Proteomics. Clinical applications
ISSN: 1862-8354
Titre abrégé: Proteomics Clin Appl
Pays: Germany
ID NLM: 101298608
Informations de publication
Date de publication:
01 2020
01 2020
Historique:
received:
12
01
2019
revised:
29
10
2019
pubmed:
13
11
2019
medline:
11
11
2020
entrez:
13
11
2019
Statut:
ppublish
Résumé
To identify potential protein biomarkers for distinguishing tuberculosis plural effusion (TBPE) from malignant plural effusion (MPE). Five independent samples from each group (TBPE and MPE) are enrolled for label-free quantitative proteomics analyses. The differentially expressed proteins are validated by western blot and ELISA. Logistic regression analysis is used to obtain the optimal diagnostic model. In total, 14 proteins with significant difference are identified between TBPE and MPE. Seven differentially expressed proteins are validated using western blot, and the expression patterns of these seven proteins are similar with those in proteomics analysis. Statistically significant differences in four proteins (AGP1, ORM2, C9, and SERPING1) are noted between TBPE and MPE in the training set (n = 230). Logistic regression analysis shows the combination of AGP1-ORM2-C9 presents a sensitivity of 73.0% (92/126) and specificity of 89.4% (93/104) in discriminating TBPE from MPE. Additional validation is performed to evaluate the diagnostic model in an independent blind testing set (n = 80), and yielded a sensitivity of 74.4% (32/43) and specificity of 91.9% (34/37) in discriminating TBPE from MPE. The study uncovers the proteomic profiles of TBPE and MPE, and provides new potential diagnostic biomarkers for distinguishing TBPE from MPE.
Identifiants
pubmed: 31715074
doi: 10.1002/prca.201900001
doi:
Substances chimiques
Biomarkers, Tumor
0
Neoplasm Proteins
0
Proteome
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1900001Informations de copyright
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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