Combination of urinary fibrinogen β-chain and tyrosine-phosphorylated proteins for the detection of bladder cancer.

bladder cancer fibrinogen β-chain tyrosine-phosphorylated proteins urinary markers

Journal

Future science OA
ISSN: 2056-5623
Titre abrégé: Future Sci OA
Pays: England
ID NLM: 101665030

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 05 05 2021
accepted: 30 08 2021
entrez: 5 11 2021
pubmed: 6 11 2021
medline: 6 11 2021
Statut: epublish

Résumé

To evaluate the performance of urinary fibrinogen β-chain (FBC) - either alone or associated with urinary tyrosine-phosphorylated proteins (UPY) - as bladder cancer (BCa) diagnostic biomarker. 164 subjects were tested. Significantly different FBC and UPY levels were found between BCa patients and controls, as well as between low-grade and high-grade cancers. The diagnostic accuracy was 0.84 for FBC and 0.87 for UPY. The combination of FBC and UPY improved the accuracy to 0.91. The addition of clinical variables (age, gender, and smoking habit) to FBC and UPY into a model for BCa prediction significantly improved the accuracy to 0.99. The combination of FBC and UPY adjusted for clinical variables associates with the highest sensitivity and good specificity. Urinary FBC and UPY could be used as biomarkers for BCa diagnosis.

Identifiants

pubmed: 34737890
doi: 10.2144/fsoa-2021-0060
pmc: PMC8558871
doi:

Types de publication

Journal Article

Langues

eng

Pagination

FSO758

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

Financial & competing interests disclosure This study was supported by the CRT Foundation Grant (Italy) Progetti Ordinari 2015, Cod. ROL 46644 to G Giribaldi and P Gontero. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.

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Auteurs

Giuliana Giribaldi (G)

Department of Oncology, University of Turin, Turin, Italy.

Claudia Filippini (C)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Clara Viberti (C)

Department of Medical Sciences, University of Turin, Turin, Italy.

Amina Khadjavi (A)

Department of Oncology, University of Turin, Turin, Italy.

Nicole Finesso (N)

Department of Oncology, University of Turin, Turin, Italy.

Daniela Ulliers (D)

Department of Oncology, University of Turin, Turin, Italy.

Stefano Turini (S)

Department of Neurosciences, University of Turin, Turin, Italy.

Bruno Emilio Bressan (BE)

Department of Oncology, University of Turin, Turin, Italy.

Francesca Pecoraro (F)

Department of Oncology, University of Turin, Turin, Italy.

Mauro Prato (M)

Department of Neurosciences, University of Turin, Turin, Italy.

Alessandra Allione (A)

Department of Medical Sciences, University of Turin, Turin, Italy.

Matteo De Bellis (M)

Division of Urology, Department of Surgical Sciences, AOU Città della Salute e della Scienza, Torino School of Medicine, Turin, Italy.

Gabriele Montefusco (G)

Division of Urology, Department of Surgical Sciences, AOU Città della Salute e della Scienza, Torino School of Medicine, Turin, Italy.

Giulia Bonomessi (G)

Division of Urology, Department of Surgical Sciences, AOU Città della Salute e della Scienza, Torino School of Medicine, Turin, Italy.

Marco Allasia (M)

Division of Urology, Department of Surgical Sciences, AOU Città della Salute e della Scienza, Torino School of Medicine, Turin, Italy.

Giuseppe Matullo (G)

Department of Medical Sciences, University of Turin, Turin, Italy.
SC Medical Genetics, AOU Città della Salute e della Scienza, Turin, Italy.

Francesco Soria (F)

Division of Urology, Department of Surgical Sciences, AOU Città della Salute e della Scienza, Torino School of Medicine, Turin, Italy.

Paolo Gontero (P)

Division of Urology, Department of Surgical Sciences, AOU Città della Salute e della Scienza, Torino School of Medicine, Turin, Italy.

Classifications MeSH