参考文献

  1. Tomita A, Mori M, Hiwatari K, Yamaguchi E, Itoi T, Sunamura M, Soga T, Tomita M, Sugimoto M. Effect of storage conditions on salivary polyamines quantified via liquid chromatography-mass spectrometry. Sci Rep. 2018;8(1):12075.

     

  2. Asai Y, Itoi T, Sugimoto M, Sofuni A, Tsuchiya T, Tanaka R, Tonozuka R, Honjo M, Mukai S, Fujita M, Yamamoto K, Matsunami Y, Kurosawa T, Nagakawa Y, Kaneko M, Ota S, Kawachi S, Shimazu M, Soga T, Tomita M, Sunamura M. Elevated Polyamines in Saliva of Pancreatic Cancer. Cancers (Basel). 2018;10(2). pii: E43.

     

  3. Ishikawa S, Sugimoto M, Kitabatake K, Tu M, Sugano A, Yamamori I, Iba A, Yusa K, Kaneko M, Ota S, Hiwatari K, Enomoto A, Masaru T, Iino M. Effect of timing of collection of salivary metabolomic biomarkers on oral cancer detection. Amino Acids. 2017;49(4):761-770.

     

  4. Takayama T, Tsutsui H, Shimizu I, Toyama T, Yoshimoto N, Endo Y, Inoue K, Todoroki K, Min JZ, Mizuno H, Toyo'oka T. Diagnostic approach to breast cancer patients based on target metabolomics in saliva by liquid chromatography with tandem mass spectrometry. Clin Chim Acta. 2016;452:18-26.

     

  5. Tsutsui H, Mochizuki T, Inoue K, Toyama T, Yoshimoto N, Endo Y, Todoroki K, Min JZ, Toyo'oka T.  High-throughput LC-MS/MS based simultaneous determination of polyamines including N-acetylated forms in human saliva and the diagnostic approach to breast cancer patients. Anal Chem. 2013;85(24):11835-42.

     

  6. Ishikawa S, Sugimoto M, Kitabatake K, Sugano A, Nakamura M, Kaneko M, Ota S, Hiwatari K, Enomoto A, Soga T, Tomita M, Iino M. Identification of salivary metabolomic biomarkers for oral cancer screening. Sci Rep. 2016;6:31520.

     

  7. Sugimoto M, Wong DT, Hirayama A, Soga T, Tomita M. Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles. Metabolomics. 2010;6(1):78-95.

     

  8. Takada M, Sugimoto M, Masuda N, Iwata H, Kuroi K, Yamashiro H, Ohno S, Ishiguro H, Inamoto T, Toi M. Prediction of postoperative disease-free survival and brain metastasis for HER2-positive breast cancer patients treated with neoadjuvant chemotherapy plus trastuzumab using a machine learning algorithm. Breast Cancer Res Treat. 2018;172(3):611-618.

     

  9. Kawanishi N, Hoshi N, Sugimoto M, Enomoto A, Ota S, Kaneko M, Soga T, Tomita M, Kimoto K. Effects of inter-day and intra-day variation on salivary metabolomic profiles. Clin Chim Acta. 2019;489:41-48.

     

  10. Ishikawa S, Wong DTW, Sugimoto M, Gleber-Netto FO, Li F, Tu M, Zhang Y, Akin D, Iino M. Identification of salivary metabolites for oral squamous cell carcinoma and oral epithelial dysplasia screening from persistent suspicious oral mucosal lesions. Clin Oral Investig. 2018.

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