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Aberrant N-Glycosylation Profile of Serum Immunoglobulins is a Diagnostic Biomarker of Urothelial Carcinomas.

Authors :
Toshikazu Tanaka
Tohru Yoneyama
Daisuke Noro
Kengo Imanishi
Yuta Kojima
Shingo Hatakeyama
Yuki Tobisawa
Kazuyuki Mori
Hayato Yamamoto
Atsushi Imai
Takahiro Yoneyama
Yasuhiro Hashimoto
Takuya Koie
Masakazu Tanaka
Shin-Ichiro Nishimura
Shizuka Kurauchi
Ippei Takahashi
Chikara Ohyama
Source :
International Journal of Molecular Sciences. Dec2017, Vol. 18 Issue 12, p2632. 13p.
Publication Year :
2017

Abstract

The aim of this study to determine whether the aberrant N-glycosylated serum immunoglobulins (Igs) can be applied as a diagnostic marker of urothelial carcinoma (UC). Between 2009 and 2016, we randomly obtained serum available from 237 UC and also 96 prostate cancer as other cancer controls from our serum bank and also obtained--from 339 healthy volunteers (HV)--controls obtained from community-dwelling volunteers in Iwaki Health Promotion Project. A total of 32 types of N-glycan levels on Igs were determined by high-throughput N-glycomics and analyzed by multivariable discriminant analysis. We found five UC-associated aberrant N-glycans changes on Igs and also found that asialo-bisecting GlcNAc type N-glycan on Igs were significantly accumulated in UC patients. The diagnostic N-glycan Score (dNGScore) established by combination of five N-glycans on Igs discriminated UC patients from HV and prostate cancer (PC) patients with 92.8% sensitivity and 97.2% specificity. The area under the curve (AUC) for of the dNGScore was 0.969 for UC detection that was much superior to that of urine cytology (AUC, 0.707) and hematuria (AUC, 0.892). Furthermore, dNGScore can detect hematuria and urine cytology negative patients. The dNGscore based on aberrant N-glycosylation signatures of Igs were found to be promising diagnostic biomarkers of UCs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16616596
Volume :
18
Issue :
12
Database :
Academic Search Index
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
126966319
Full Text :
https://doi.org/10.3390/ijms18122632