Discovery of lipid biomarkers correlated with disease progression in clear cell renal cell carcinoma using desorption electrospray ionization imaging mass spectrometry 18

• Material Type: 博士論文
• ISSN: 1949-2553
• Title: Discovery of lipid biomarkers correlated with disease progression in clear cell renal cell carcinoma using desorption electrospray ionization imaging mass spectrometry
• Volume: 10 18
• Author/Editor: 田村, 啓多
• Author Heading: 田村, 啓多
• Publication, Distribution, etc.: Impact Journals
• Publication Date: 2019-03-01
• Publication Date (W3CDTF): 2019-03-01
• Alternative Title: 脱離エレクトロスプレーイオン化イメージング質量分析法を用いた淡明細胞型腎細胞癌における病勢進行と相関する脂質バイオマーカーの発見
• Periodical title: Oncotarget
• Degree grantor/type: 浜松医科大学
• Date Granted: 2020-03-16
• Date Granted (W3CDTF): 2020-03-16
• Dissertation Number: 甲第836号
• Degree Type: 博士（医学）
• Conferring No. (Dissertation): 甲第836号
• Text Language Code: eng
• Subject Heading: clear cell renal cell carcinoma; desorption electrospray ionization imaging mass spectrometry; lipid; biomarker; disease progression
• Target Audience: 一般
• Note (General): doctoral; 医学系研究科; Clear cell renal cell carcinoma (ccRCC) often results in recurrence or metastasis, and there are only a few clinically effective biomarkers for early diagnosis and personalized therapy. Metabolic changes have been widely studied using mass spectrometry (MS) of tissue lysates to identify novel biomarkers. Our objective was to identify lipid biomarkers that can predict disease progression in ccRCC by a tissue-based approach. We retrospectively investigated lipid molecules in cancerous tissues and normal renal cortex tissues obtained from patients with ccRCC (n=47) using desorption electrospray ionization imaging mass spectrometry (DESI-IMS). We selected eight candidate lipid biomarkers showing higher signal intensity in cancerous than in normal tissues, with a clear distinction of the tissue type based on the images. Of these candidates, low maximum intensity ratio (cancerous/normal) values of ions of oleic acid, m/z 389.2, and 391.3 significantly correlated with shorter progression-free survival compared with high maximum intensity ratio values (P=0.011, P=0.022, and P<0.001,respectively). This study identified novel lipid molecules contributing to the prediction of disease progression in ccRCC using DESI-IMS. Our findings on lipid storage may provide a new diagnostic or therapeutic strategy for targeting cancer cell metabolism.
• DOI: info:doi/10.18632/oncotarget.26706; https://doi.org/info:doi/10.18632/oncotarget.26706
• Persistent ID (NDL): info:ndljp/pid/11498580; https://dl.ndl.go.jp/pid/11498580
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文; https://dl.ndl.go.jp/collections/A00014
• Acquisition Basis: 博士論文（自動収集）
• Date Accepted (W3CDTF): 2020-06-07T00:39:19+09:00
• Date Created (W3CDTF): 2020-04-30
• Format (IMT): application/pdf
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): http://hdl.handle.net/10271/00003729; https://hama-med.repo.nii.ac.jp/records/3597
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

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2023-12-06 再収集