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N‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas
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‐gl...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926015/ https://www.ncbi.nlm.nih.gov/pubmed/33455069 http://dx.doi.org/10.1002/cam4.3727 |
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author | Kodama, Hirotake Yoneyama, Tohru Tanaka, Toshikazu Noro, Daisuke Tobisawa, Yuki Yamamoto, Hayato Suto, Shinichiro Hatakeyama, Shingo Mori, Kazuyuki Yoneyama, Takahiro Hashimoto, Yasuhiro Kakizaki, Ikuko Nakaji, Shigeyuki Ohyama, Chikara |
author_facet | Kodama, Hirotake Yoneyama, Tohru Tanaka, Toshikazu Noro, Daisuke Tobisawa, Yuki Yamamoto, Hayato Suto, Shinichiro Hatakeyama, Shingo Mori, Kazuyuki Yoneyama, Takahiro Hashimoto, Yasuhiro Kakizaki, Ikuko Nakaji, Shigeyuki Ohyama, Chikara |
author_sort | Kodama, Hirotake |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7926015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79260152021-03-12 N‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas Kodama, Hirotake Yoneyama, Tohru Tanaka, Toshikazu Noro, Daisuke Tobisawa, Yuki Yamamoto, Hayato Suto, Shinichiro Hatakeyama, Shingo Mori, Kazuyuki Yoneyama, Takahiro Hashimoto, Yasuhiro Kakizaki, Ikuko Nakaji, Shigeyuki Ohyama, Chikara Cancer Med Clinical Cancer Research 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. John Wiley and Sons Inc. 2021-01-16 /pmc/articles/PMC7926015/ /pubmed/33455069 http://dx.doi.org/10.1002/cam4.3727 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Cancer Research Kodama, Hirotake Yoneyama, Tohru Tanaka, Toshikazu Noro, Daisuke Tobisawa, Yuki Yamamoto, Hayato Suto, Shinichiro Hatakeyama, Shingo Mori, Kazuyuki Yoneyama, Takahiro Hashimoto, Yasuhiro Kakizaki, Ikuko Nakaji, Shigeyuki Ohyama, Chikara N‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas |
title |
N‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas |
title_full |
N‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas |
title_fullStr |
N‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas |
title_full_unstemmed |
N‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas |
title_short |
N‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas |
title_sort | n‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas |
topic | Clinical Cancer Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926015/ https://www.ncbi.nlm.nih.gov/pubmed/33455069 http://dx.doi.org/10.1002/cam4.3727 |
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