Evidence map›Paper›PMID 33455069›Full record

ArticleCancer medicine2021

N-glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas.

Hirotake Kodama, Tohru Yoneyama, Toshikazu Tanaka, Daisuke Noro, Yuki Tobisawa, Hayato Yamamoto, Shinichiro Suto, Shingo Hatakeyama, Kazuyuki Mori, Takahiro Yoneyama and 4 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Hirotake KodamaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0002-5071-5149
Tohru YoneyamaDepartment of Glycotechnology, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0002-1098-407X
Toshikazu TanakaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Daisuke NoroDepartment of Urology, Mutsu General Hospital, Mutsu, Japan.ORCID 0000-0002-7104-0945
Yuki TobisawaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0001-8026-9541
Hayato YamamotoDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0002-4557-0619
Shinichiro SutoDepartment of Glycotechnology, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Shingo HatakeyamaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0002-0026-4079
Kazuyuki MoriDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0002-7682-9793
Takahiro YoneyamaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0003-1061-827X
Yasuhiro HashimotoDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0003-0967-6835
Ikuko KakizakiDepartment of Glycotechnology, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0002-6702-5830
Shigeyuki NakajiDepartment of Social Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Chikara OhyamaDepartment of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID 0000-0003-1550-8379
Hirosaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AgedAged, 80 and overBiomarkers, TumorCarcinoma, Transitional CellFemaleGlycomicsGlycosylationHumansImmunoglobulinsMaleMiddle AgedNomogramsPolysaccharidesRetrospective StudiesROC CurveUreteral NeoplasmsBiomarkers, TumorImmunoglobulinsPolysaccharidescapillary-electrophoresisdiagnostic biomarkerimmunogloburinsN-glycosylation signaturesurothelial carcinoma

Identifiers

PMID33455069
PMCPMC7926015
OpenAlexW3125724839

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.