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Diagnosing pleural effusions using mass spectrometry-based multiplexed targeted proteomics quantitating mid- to high-abundance markers of cancer, infection/inflammation and tuberculosis.
Robak, Aleksandra; Kistowski, Michal; Wojtas, Grzegorz; Perzanowska, Anna; Targowski, Tomasz; Michalak, Agata; Krasowski, Grzegorz; Dadlez, Michal; Domanski, Dominik.
  • Robak A; Mass Spectrometry Laboratory, Institute of Biochemistry and Biophysics - Polish Academy of Sciences, Warsaw, Poland.
  • Kistowski M; Mass Spectrometry Laboratory, Institute of Biochemistry and Biophysics - Polish Academy of Sciences, Warsaw, Poland.
  • Wojtas G; Mazovian Center of Pulmonary Disease and Tuberculosis Treatment, Otwock, Poland.
  • Perzanowska A; Mass Spectrometry Laboratory, Institute of Biochemistry and Biophysics - Polish Academy of Sciences, Warsaw, Poland.
  • Targowski T; Department of Geriatrics, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland.
  • Michalak A; Mazovian Center of Pulmonary Disease and Tuberculosis Treatment, Otwock, Poland.
  • Krasowski G; Mazovian Center of Pulmonary Disease and Tuberculosis Treatment, Otwock, Poland.
  • Dadlez M; Mass Spectrometry Laboratory, Institute of Biochemistry and Biophysics - Polish Academy of Sciences, Warsaw, Poland.
  • Domanski D; Mass Spectrometry Laboratory, Institute of Biochemistry and Biophysics - Polish Academy of Sciences, Warsaw, Poland. dom.domanski@ibb.waw.pl.
Sci Rep ; 12(1): 3054, 2022 02 23.
Article en En | MEDLINE | ID: mdl-35197508
ABSTRACT
Pleural effusion (PE) is excess fluid in the pleural cavity that stems from lung cancer, other diseases like extra-pulmonary tuberculosis (TB) and pneumonia, or from a variety of benign conditions. Diagnosing its cause is often a clinical challenge and we have applied targeted proteomic methods with the aim of aiding the determination of PE etiology. We developed a mass spectrometry (MS)-based multiple reaction monitoring (MRM)-protein-panel assay to precisely quantitate 53 established cancer-markers, TB-markers, and infection/inflammation-markers currently assessed individually in the clinic, as well as potential biomarkers suggested in the literature for PE classification. Since MS-based proteomic assays are on the cusp of entering clinical use, we assessed the merits of such an approach and this marker panel based on a single-center 209 patient cohort with established etiology. We observed groups of infection/inflammation markers (ADA2, WARS, CXCL10, S100A9, VIM, APCS, LGALS1, CRP, MMP9, and LDHA) that specifically discriminate TB-PEs and other-infectious-PEs, and a number of cancer markers (CDH1, MUC1/CA-15-3, THBS4, MSLN, HPX, SVEP1, SPINT1, CK-18, and CK-8) that discriminate cancerous-PEs. Some previously suggested potential biomarkers did not show any significant difference. Using a Decision Tree/Multiclass classification method, we show a very good discrimination ability for classifying PEs into one of four types cancerous-PEs (AUC 0.863), tuberculous-PEs (AUC of 0.859), other-infectious-PEs (AUC of 0.863), and benign-PEs (AUC 0.842). This type of approach and the indicated markers have the potential to assist in clinical diagnosis in the future, and help with the difficult decision on therapy guidance.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Derrame Pleural / Neumonía / Espectrometría de Masas / Tuberculosis / Proteómica / Infecciones / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Derrame Pleural / Neumonía / Espectrometría de Masas / Tuberculosis / Proteómica / Infecciones / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article