Sugimoto M - Search Results

1

High-resolution imaging mass spectrometry reveals detailed spatial distribution of phosphatidylinositols in human breast cancer.

Kawashima M, Iwamoto N, Kawaguchi-Sakita N, Sugimoto M, Ueno T, Mikami Y, Terasawa K, Sato TA, Tanaka K, Shimizu K, Toi M. Kawashima M, et al. Among authors: sugimoto m. Cancer Sci. 2013 Oct;104(10):1372-9. doi: 10.1111/cas.12229. Epub 2013 Aug 6. Cancer Sci. 2013. PMID: 23837649 Free PMC article.

2

Predictive value of CD24 and CD44 for neoadjuvant chemotherapy response and prognosis in primary breast cancer patients.

Horiguchi K, Toi M, Horiguchi S, Sugimoto M, Naito Y, Hayashi Y, Ueno T, Ohno S, Funata N, Kuroi K, Tomita M, Eishi Y. Horiguchi K, et al. Among authors: sugimoto m. J Med Dent Sci. 2010 Jun;57(2):165-75. J Med Dent Sci. 2010. PMID: 21073135

3

Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model.

Takada M, Sugimoto M, Naito Y, Moon HG, Han W, Noh DY, Kondo M, Kuroi K, Sasano H, Inamoto T, Tomita M, Toi M. Takada M, et al. Among authors: sugimoto m. BMC Med Inform Decis Mak. 2012 Jun 13;12:54. doi: 10.1186/1472-6947-12-54. BMC Med Inform Decis Mak. 2012. PMID: 22695278 Free PMC article.

4

Comparison of robustness against missing values of alternative decision tree and multiple logistic regression for predicting clinical data in primary breast cancer.

Sugimoto M, Takada M, Toi M. Sugimoto M, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:3054-7. doi: 10.1109/EMBC.2013.6610185. Annu Int Conf IEEE Eng Med Biol Soc. 2013. PMID: 24110372

5

Development of Web tools to predict axillary lymph node metastasis and pathological response to neoadjuvant chemotherapy in breast cancer patients.

Sugimoto M, Takada M, Toi M. Sugimoto M, et al. Int J Biol Markers. 2014 Dec 9;29(4):e372-9. doi: 10.5301/jbm.5000103. Int J Biol Markers. 2014. PMID: 25096734 Free article.

6

Serum immunoglobulin G Fc region N-glycosylation profiling by matrix-assisted laser desorption/ionization mass spectrometry can distinguish breast cancer patients from cancer-free controls.

Kawaguchi-Sakita N, Kaneshiro-Nakagawa K, Kawashima M, Sugimoto M, Tokiwa M, Suzuki E, Kajihara S, Fujita Y, Iwamoto S, Tanaka K, Toi M. Kawaguchi-Sakita N, et al. Among authors: sugimoto m. Biochem Biophys Res Commun. 2016 Jan 22;469(4):1140-5. doi: 10.1016/j.bbrc.2015.12.114. Epub 2015 Dec 29. Biochem Biophys Res Commun. 2016. PMID: 26740182

7

Clinical significance of the expression of autophagy-associated marker, beclin 1, in breast cancer patients who received neoadjuvant endocrine therapy.

Ueno T, Saji S, Sugimoto M, Masuda N, Kuroi K, Sato N, Takei H, Yamamoto Y, Ohno S, Yamashita H, Hisamatsu K, Aogi K, Iwata H, Imoto S, Sasano H, Toi M. Ueno T, et al. Among authors: sugimoto m. BMC Cancer. 2016 Mar 16;16:230. doi: 10.1186/s12885-016-2270-9. BMC Cancer. 2016. PMID: 26984766 Free PMC article. Clinical Trial.

8

Circulating cell-free DNA-based epigenetic assay can detect early breast cancer.

Uehiro N, Sato F, Pu F, Tanaka S, Kawashima M, Kawaguchi K, Sugimoto M, Saji S, Toi M. Uehiro N, et al. Among authors: sugimoto m. Breast Cancer Res. 2016 Dec 19;18(1):129. doi: 10.1186/s13058-016-0788-z. Breast Cancer Res. 2016. PMID: 27993161 Free PMC article.

9

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.

Takada M, Sugimoto M, Masuda N, Iwata H, Kuroi K, Yamashiro H, Ohno S, Ishiguro H, Inamoto T, Toi M. Takada M, et al. Among authors: sugimoto m. Breast Cancer Res Treat. 2018 Dec;172(3):611-618. doi: 10.1007/s10549-018-4958-9. Epub 2018 Sep 7. Breast Cancer Res Treat. 2018. PMID: 30194511

10

Gene expression profile of peripheral blood mononuclear cells may contribute to the identification and immunological classification of breast cancer patients.

Suzuki E, Sugimoto M, Kawaguchi K, Pu F, Uozumi R, Yamaguchi A, Nishie M, Tsuda M, Kotake T, Morita S, Toi M. Suzuki E, et al. Among authors: sugimoto m. Breast Cancer. 2019 May;26(3):282-289. doi: 10.1007/s12282-018-0920-2. Epub 2018 Oct 13. Breast Cancer. 2019. PMID: 30317464

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