Diagnostic performance of an immunoassay based on urine exfoliated cell enrichment nanotechnology for upper tract urothelial carcinoma: a retrospective, monocentric study
- PMID: 36434570
- PMCID: PMC9700989
- DOI: 10.1186/s12894-022-01122-4
Diagnostic performance of an immunoassay based on urine exfoliated cell enrichment nanotechnology for upper tract urothelial carcinoma: a retrospective, monocentric study
Abstract
Background: Noninvasively urine-based diagnostic modalities for upper urinary tract urothelial carcinoma (UTUC) were still lacking. We evaluated the diagnostic value of our previously developed urine-based assay (UTC assay) in UTUC.
Methods: We retrospectively analyzed 90 patients with suspected UTUC and 40 donors without UTUC. Voided urine specimens were analyzed by UTC assay and fluorescence in situ hybridization (FISH). The performance of UTC assay and FISH was compared among the 60 histologically proven UTUC patients and the 40 donors with benign disease.
Results: Of the 60 UTUCs, there were 8 low-grade and 52 high-grade cases. Overall sensitivity for UTC assay and FISH were 85% and 73.3%, respectively (P = 0.116). Specificities for UTC assay and FISH were 92.5% and 95%, respectively (P = ns.). By grade, sensitivities of UTC assay and FISH were 87.5% vs. 37.5% for low-grade (P = 0.119), and 84.6% vs. 78.8% for high- grade UTUC (P = 0.446), respectively. By stage, UTC assay showed significantly higher sensitivity than FISH for detecting non-muscle-invasive UTUC, which were 88.5% vs. 61.5%, respectively (P = 0.025).
Conclusion: UTC assay has good performance for the non-invasive diagnosis of UTUC. UTC assay may improve the diagnosis and surveillance of low-grade or superficial UTUC.
Keywords: FISH; Immunocytology; Upper urinary tract; Urine; Urothelial carcinoma.
© 2022. The Author(s).
Conflict of interest statement
The authors declare that they have no competing interests.
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Comment in
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A non-invasive assay for UTUC diagnosis.Nat Rev Urol. 2023 Jan;20(1):8. doi: 10.1038/s41585-022-00696-w. Nat Rev Urol. 2023. PMID: 36477221 No abstract available.
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