Association of quantitative analysis of intratumoral reduced E-cadherin expression with lymph node metastasis and prognosis in patients with breast cancer

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学術機関リポジトリデータベース（IRDB）（機関リポジトリ）

Association of quantitative analysis of intratumoral reduced E-cadherin expression with lymph node metastasis and prognosis in patients with breast cancer

Material type: 博士論文

Author: 孟, 祥玥

Publisher: Springer Nature

Publication date: 2023-09-06

Material Format: Digital

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Name of awarding university/degree: Nagasaki University (長崎大学),博士(医学)

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Note (General)：: 長崎大学学位論文学位記番号:博(医歯薬)甲第1544号学位授与年月日:令和5年9月6日Author: Xiangyue Meng, Michi Morita, Sayaka Kuba, Hiroko Hayashi, Ryota Otsubo, Megumi Matsumoto, Kosho Y...

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Material Type: 博士論文
Title: Association of quantitative analysis of intratumoral reduced E-cadherin expression with lymph node metastasis and prognosis in patients with breast cancer
Author/Editor: 孟, 祥玥
Author Heading: 孟, 祥玥
Publication, Distribution, etc.: Springer Nature
Publication Date: 2023-09-06
Publication Date (W3CDTF): 2023-09-06
Alternative Title: 乳癌患者における腫瘍内Eカドヘリン発現の定量解析と腫瘍脂肪組織浸潤、リンパ節転移および予後との検討
Periodical title: Scientific Reports
No. or year of volume/issue: 13
Volume: 13
Pages: art. no. 10434-
ISSN (Periodical Title): EISSN : 2045-2322
Degree grantor/type: Nagasaki University (長崎大学)
Date Granted: 2023-09-06
Dissertation Number: 甲医歯薬第1544号
Degree Type: 博士(医学)
Text Language Code: eng
Target Audience: 一般
Note (General): 長崎大学学位論文学位記番号:博(医歯薬)甲第1544号学位授与年月日:令和5年9月6日
Author: Xiangyue Meng, Michi Morita, Sayaka Kuba, Hiroko Hayashi, Ryota Otsubo, Megumi Matsumoto, Kosho Yamanouchi, Kazuma Kobayashi, Akihiko Soyama, Masaaki Hidaka, Kengo Kanetaka, Takeshi Nagayasu & Susumu Eguchi
Citation: Scientific Reports, 13, art. no. 10434; 2023
Nagasaki University (長崎大学), 博士(医学) (2023-09-06)
Format (IMT): application/pdf
Source: https://nagasaki-u.repo.nii.ac.jp/record/2000364/files/ISYK1544_Meng.pdf （fulltext）
https://nagasaki-u.repo.nii.ac.jp/record/2000364/files/ISYK1544_Meng.pdf
Access Restrictions: インターネット公開
Rights (production): © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Related Material (URI): HDL
http://hdl.handle.net/10069/0002000215
Related Material (DOI): 10.1038/s41598-023-37012-4
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 長崎大学 : 長崎大学学術研究成果リポジトリ