ArticleCancer medicine2021
N-glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas.
Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Exploring the potential causal role of IgG N-glycosylation in urological cancers: a two-sample Mendelian randomization study using European ancestry datasets.Archives of medical science : AMS · 2026Article
- Diagnostic status and new explorations in upper urinary tract urothelial carcinoma: a literature review.Translational andrology and urology · 2024Review
- AI for BPH Surgical Decision-Making: Cost Effectiveness and Outcomes.Current urology reports · 2024Review
- Current look at the most promising proteomic and glycomic biomarkers of bladder cancer.Journal of cancer research and clinical oncology · 2024Review
- Machine learning diagnosis by immunoglobulin N-glycan signatures for precision diagnosis of urological diseases.Cancer science · 2022Article
- RPS4XL encoded by lnc-Rps4l inhibits hypoxia-induced pyroptosis by binding HSC70 glycosylation site.Molecular therapy. Nucleic acids · 2022Article
- N-glycan profiling alterations of serum and immunoglobulin G in immune thrombocytopenia.Journal of clinical laboratory analysis · 2022Article
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Discriminating between urothelial carcinoma (UC), including bladder cancer (BCa) and upper urinary tract UC (UTUC), is often challenging. Thus, the current study evaluated the diagnostic performance of N-glycosylation signatures of immunoglobulins (Igs) for detecting UC, including BCa and UTUC. N-glycosylation signatures of Igs from serum samples of the training cohort, including 104 BCa, 68 UTUC, 10 urinary tract infection, and 5 cystitis cases, as well as 62 healthy volunteers, were measured retrospectively using automated capillary-electrophoresis-based N-glycomics. UTUC or BCa scores were then established through discriminant analysis using N-glycan signatures of Igs. Diagnostic performance was evaluated using the area under receiver operating characteristics curve (AUC) and decision curve analyses (DCA). Our result showed that BCa and UTUC scores for discriminating BCa (AUC: 0.977) and UTUC (AUC: 0.867), respectively, provided significantly better clinical performance compared to urine cytology, gross hematuria, or clinical T1 cases. DCA revealed that adding BCa and UTUC scores to gross hematuria status was the best combination for detecting UC and avoiding the need for more intervention without overlooking UC (risk threshold: 13%-93%). The UC nomogram based on the combination of gross hematuria, UTUC score, and BCa score could detect UC with an AUC of 0.891, indicating significantly better performance compared to gross hematuria status in the validation cohort (251 patients). The limitations of this study include its small sample size and retrospective nature. The UC nomogram based on gross hematuria and N-glycosylation signatures of Igs can be a promising approach for the diagnosis of UC.
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