Big and Free Fractions of Gamma-Glutamyltransferase: New Diagnostic Biomarkers for Malignant Mesothelioma?

biomarkers diagnosis gamma-glutamyltransferase mesothelioma

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
26 Jan 2022
Historique:
received: 30 12 2021
revised: 21 01 2022
accepted: 22 01 2022
entrez: 25 2 2022
pubmed: 26 2 2022
medline: 26 2 2022
Statut: epublish

Résumé

Malignant pleural mesothelioma (MPM) is a cancer mainly caused by asbestos fiber inhalation, characterized by an extremely long latency and poor prognosis. Recently, researchers have focused on testing the diagnostic ability of several biomarkers. Gamma-Glutamyltransferase (GGT) has been demonstrated to be the sum of several GGT sub-fractions activity, classified based on their molecular weight in big-GGT, medium-GGT, small-GGT, and free-GGT. This work aims to evaluate whether specific GGT fractional enzymatic activity patterns could be helpful in MPM diagnosis. We analyzed blood samples from 175 workers previously exposed to asbestos, 157 non-exposed healthy subjects, and 37 MPM patients through a molecular exclusion chromatographic method. We found a specific profile of GGT fractions activity, significantly associated with MPM, resulting in an increase in b-, m- activity, along with an evident, yet not significant, decrease in f-activity. Receiver-operating characteristic (ROC) analysis showed that the best Area Under Curve (AUC) value resulted from the combined index b/f (0.679, 95% CI: 0.582-0.777). Combining the b-/f-GGT activity with the levels of serum mesothelin-related protein (SMRP; another promising MPM biomarker) improved the diagnostic accuracy, increasing the AUC value to 0.875 (95% CI: 0.807-0.943,

Identifiants

pubmed: 35204402
pii: diagnostics12020311
doi: 10.3390/diagnostics12020311
pmc: PMC8870979
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : University of Pisa
ID : PRA 2017

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Auteurs

Rudy Foddis (R)

Department of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Maria Franzini (M)

Department of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Alessandra Bonotti (A)

Preventive and Occupational Medicine, University Hospital of Pisa, 56126 Pisa, Italy.

Riccardo Marino (R)

Department of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Roberto Silvestri (R)

Preventive and Occupational Medicine, University Hospital of Pisa, 56126 Pisa, Italy.

Poupak Fallahi (P)

Department of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Dante Chiappino (D)

Department of Radiology, Fondazione CNR Regione Toscana "G. Monasterio", 54100 Massa, Italy.

Michele Emdin (M)

Cardiovascular Medicine Division, Fondazione Toscana "G. Monasterio", 56124 Pisa, Italy.
Institute of Life Sciences, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.

Aldo Paolicchi (A)

Department of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Alfonso Cristaudo (A)

Preventive and Occupational Medicine, University Hospital of Pisa, 56126 Pisa, Italy.

Classifications MeSH