Machine learning diagnosis by immunoglobulin <i>N</i> ‐glycan signatures for precision diagnosis of urological diseases-Reference-Cited by-同舟云学术

Machine learning diagnosis by immunoglobulin N ‐glycan signatures for precision diagnosis of urological diseases

Published:2022-05-25 Issue:7 Volume:113 Page:2434-2445
ISSN:1347-9032
Container-title:Cancer Science
language:en
Short-container-title:Cancer Science

Author:

Iwamura Hiromichi¹,Mizuno Kei²,Akamatsu Shusuke²,Hatakeyama Shingo¹³^ORCID,Tobisawa Yuki¹,Narita Shintaro⁴^ORCID,Narita Takuma¹,Yamashita Shinichi⁵,Kawamura Sadafumi⁶,Sakurai Toshihiko⁷,Fujita Naoki¹,Kodama Hirotake¹^ORCID,Noro Daisuke¹,Kakizaki Ikuko⁸,Nakaji Shigeyuki⁹,Itoh Ken⁸¹⁰,Tsuchiya Norihiko⁷,Ito Akihiro⁵,Habuchi Tomonori⁴,Ohyama Chikara¹³,Yoneyama Tohru⁸^ORCID

Affiliation:

1. Department of Urology Hirosaki University Graduate School of Medicine Hirosaki Japan

2. Department of Urology Kyoto University Graduate School of Medicine Kyoto Japan

3. Department of Advanced Blood Purification Therapy Hirosaki University Graduate School of Medicine Hirosaki Japan

4. Department of Urology Akita University Graduate School of Medicine Akita Japan

5. Department of Urology Tohoku University Graduate School of Medicine Sendai Japan

6. Department of Urology Miyagi Cancer Center Natori Japan

7. Department of Urology Yamagata University Graduate School of Medicine Yamagata Japan

8. Department of Glycotechnology, Center for Advanced Medical Research Hirosaki University Graduate School of Medicine Hirosaki Japan

9. Department of Social Medicine Hirosaki University Graduate School of Medicine Hirosaki Japan

10. Department of Stress Response Science, Center for Advanced Medical Research Hirosaki University Graduate School of Medicine Hirosaki Japan

Funder

Center of Innovation Program

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Cancer Research,Oncology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cas.15395

Reference34 articles.

1. Characteristics of α2,3‐sialyl N ‐glycosylated PSA as a biomarker for clinically significant prostate cancer in men with elevated PSA level

2. SerumN-Glycan Alteration Associated with Renal Cell Carcinoma Detected by High Throughput Glycan Analysis

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

4. Clinical implications of serumN-glycan profiling as a diagnostic and prognostic biomarker in germ-cell tumors

5. Prognostic values of procalcitonin and platelet in the patient with urosepsis

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