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Biomedical Chromatography : BMC|December 22, 2017
UPLC-MS/MS based diagnostics for epithelial ovarian cancer using fully sialylated C4-binding proteinKazuhiro Tanabe, Koji Matsuo, Masaki Miyazawa, et al.
Scientific Reports|February 20, 2024
Proteomics of appetite-regulating system influenced by menstrual cycle and intensive exercise in female athletes: a pilot studyKazuhiro Tanabe, Kayoko Kamemoto, Yoshimasa Kawaguchi, et al.
Scientific Reports|July 2, 2025
Multi-omics analysis of diabetic cardiomyopathy pathogenesis using a type 2 diabetic Zucker diabetic fatty rat modelKazuhiro Tanabe, Qianqian Zheng, Xuguang Zhang, et al.
International Journal of Molecular Sciences|December 1, 2020
A Potential Serum <i>N</i>-glycan Biomarker for Hepatitis C Virus-Related Early-Stage Hepatocellular Carcinoma with Liver CirrhosisMikito Higashi, Takeshi Yoshimura, Noriyoshi Usui, et al.
Biochemical and Biophysical Research Communications|December 29, 2005
An N-glycan structure correlates with pulmonary metastatic ability of cancer cellsKeiichiro Sakuma, Ichiro Fujimoto, Seiji Hitoshi, et al.
Cancers|August 23, 2020
Utility of Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA) for the Detection of Early Stage Epithelial Ovarian CancerKoji Matsuo, Kazuhiro Tanabe, Masaru Hayashi, et al.
Computational and Structural Biotechnology Journal|November 24, 2025
Comprehensive serum glycopeptide spectrum analysis with machine learning for non-invasive early detection of gastrointestinal cancersYuichi Hisamatsu, Kazuhiro Tanabe, Kensuke Kudo, et al.
Archives of Gynecology and Obstetrics|January 18, 2018
Fully sialylated alpha-chain of complement 4-binding protein (A2160): a novel prognostic marker for epithelial ovarian carcinomaKoji Matsuo, Kazuhiro Tanabe, Masae Ikeda, et al.
Cancers|May 1, 2019
Comprehensive Serum Glycopeptide Spectra Analysis (CSGSA): A Potential New Tool for Early Detection of Ovarian CancerMasaru Hayashi, Koji Matsuo, Kazuhiro Tanabe, et al.
Cancers|August 23, 2020
Comprehensive Serum Glycopeptide Spectra Analysis Combined with Artificial Intelligence (CSGSA-AI) to Diagnose Early-Stage Ovarian CancerKazuhiro Tanabe, Masae Ikeda, Masaru Hayashi, et al.
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