Identification of Highly Sensitive Pleural Effusion Protein Biomarkers for Malignant Pleural Mesothelioma by Affinity-Based Quantitative Proteomics.

Simple Summary: The development of malignant pleural mesothelioma, a rare and often aggressive cancer associated with asbestos exposure, can take decades to develop. The existing methods for diagnosis are insufficient, hence, better detection methods are required. Given that pleural effusions are cl...

Descripción completa

Detalles Bibliográficos
Publicado en:Cancers Vol. 15; no. 3; pp. 641 - 654
Autores principales: Palstrøm, Nicolai B., Overgaard, Martin, Licht, Peter, Beck, Hans C.
Formato: research tables/charts Journal Article
Publicado: MDPI Feb2023
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=161822413&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 161822413
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        20726694
        B74B
      jtl: Cancers
      issn: 20726694
      maglogo: N
    pubinfo:
      dt: Feb2023
      vid: 15
      iid: 3
      pid: 97109
      pub: MDPI
    artinfo:
      ui:
        161822413
        161822413
        161822413
        10.3390/cancers15030641
        161822413
      ppf: 641
      ppct: 13
      formats:
      tig:
        atl: Identification of Highly Sensitive Pleural Effusion Protein Biomarkers for Malignant Pleural Mesothelioma by Affinity-Based Quantitative Proteomics.
      aug:
        au:
          Palstrøm, Nicolai B.
          Overgaard, Martin
          Licht, Peter
          Beck, Hans C.
        affil: Department of Clinical Biochemistry, Odense University Hospital, 5000 Odense, Denmark
      sug:
        subj:
          Pleural Effusion Diagnosis
          Tumor Markers, Biological
          Pleural Neoplasms Diagnosis
          Mesothelioma, Malignant Diagnosis
          Proteomics
          Human
          Quantitative Studies
          Affinity Labels
          Rare Diseases
          Exploratory Research
          Mass Spectrometry
          Sensitivity and Specificity
          Interrater Reliability
          Thoracoscopy
          ROC Curve
          Funding Source
      ab: Simple Summary: The development of malignant pleural mesothelioma, a rare and often aggressive cancer associated with asbestos exposure, can take decades to develop. The existing methods for diagnosis are insufficient, hence, better detection methods are required. Given that pleural effusions are close to the tumor and reasonably accessible, it is believed that pleural effusion contains biomarkers that can provide insight into the disease. As part of our explorative analysis of pleural effusion, we applied a novel mass spectrometry-based method, and as a result, we have identified several proteins with diagnostic potential as markers for malignant pleural mesothelioma. The research into the potential use of pleural effusion biomarkers as a viable future diagnostic tool for malignant pleural mesothelioma will be advanced with the addition of the knowledge gained from our study. Malignant pleural mesothelioma (MPM) is an asbestos-associated, highly aggressive cancer characterized by late-stage diagnosis and poor prognosis. Gold standards for diagnosis are pleural biopsy and cytology of pleural effusion (PE), both of which are limited by low sensitivity and markedly inter-observer variations. Therefore, the assessment of PE biomarkers is considered a viable and objective diagnostic tool for MPM diagnosis. We applied a novel affinity-enrichment mass spectrometry-based proteomics method for explorative analysis of pleural effusions from a prospective cohort of 84 patients referred for thoracoscopy due to clinical suspicion of MPM. Protein biomarkers with a high capability to discriminate MPM from non-MPM patients were identified, and a Random Forest algorithm was applied for building classification models. Immunohistology of pleural biopsies confirmed MPM in 40 patients and ruled out MPM in 44 patients. Proteomic analysis of pleural effusions identified panels of proteins with excellent diagnostic properties (90–100% sensitivities, 89–98% specificities, and AUC 0.97–0.99) depending on the specific protein combination. Diagnostic proteins associated with cancer growth included galactin-3 binding protein, testican-2, haptoglobin, Beta ig-h3, and protein AMBP. Moreover, we also confirmed previously reported diagnostic accuracies of the MPM markers fibulin-3 and mesothelin measured by two complementary mass spectrometry-based methods. In conclusion, a novel affinity-enrichment mass spectrometry-based proteomics identified panels of proteins in pleural effusion with extraordinary diagnostic accuracies, which are described here for the first time as biomarkers for MPM.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N