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          <dc:title>次世代プロテオミクスによる悪性グリオーマのバイオマーカー探索</dc:title>
          <dc:title xml:lang="en">Exploration of blood biomarker for glioblastoma</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>中田, 光俊</jpcoar:creatorName>
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          <datacite:description descriptionType="Abstract">難治疾患である悪性脳腫瘍に対してバイオマーカーは同定されていない。本研究は、原発性脳腫瘍の中で最も高頻度かつ高悪性度の膠芽腫の診断を迅速・簡便・確実に可能とする血液バイオマーカーの開発を目的とした。革新型プロテオミクス法による膠芽腫および健常血漿内タンパクの比較定量を行った。962種類のタンパクを同定し、両者間で有意差を認め新規性の高い5種類の分子を抽出した。膠芽腫において高値を示したα-1-antichymotripsinとcompliment component C9、低値を示したgelsolin、Ig α-1 chain C region、apolipoprotein A-IVである。</datacite:description>
          <datacite:description descriptionType="Abstract">Reliable blood biomarkers could be helpful for the management of glioblastoma (GBM) patients. Mass spectrometry (MS)-based proteomic analysis of human clinical blood is a powerful tool to investigate cancer biomarkers. To identify the biomarkers for GBM, we applied the highly accurate and reproducible SWATH (Sequential Windowed Acquisition of all Theoretical fragment ions)-MS technique. Quantitative comparisons of the plasma proteomes of GBM, IDH-wildtype patients (n = 14) and healthy controls (n = 15) were performed. Data dependent analysis mode of LC-MS/MS (Liquid chromatography tandem-MS) detected total 962 species of proteins in the samples used. Through the SWATH analysis, we identified five biomarker candidates for GBM: up-regulated proteins; α-1-antichymotrypsin (SERPINA3), and complement component C9 (C9), down-regulated proteins; gelsolin (GSN), Ig α-1 chain C region (IGHA1), and apolipoprotein A-IV (APOA4).</datacite:description>
          <datacite:description descriptionType="Other">研究課題/領域番号:16K15645, 研究期間(年度):2016-04-01 - 2018-03-31</datacite:description>
          <datacite:description descriptionType="Other">出典：研究課題「次世代プロテオミクスによる悪性グリオーマのバイオマーカー探索」課題番号16K15645
（KAKEN：科学研究費助成事業データベース（国立情報学研究所）） 
（https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-16K15645/16K15645seika/）を加工して作成</datacite:description>
          <datacite:description descriptionType="Other">金沢大学医薬保健研究域医学系</datacite:description>
          <datacite:date dateType="Issued">2018-04-19</datacite:date>
          <dc:language>jpn</dc:language>
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          <jpcoar:identifier identifierType="DOI">https://doi.org/10.24517/00051720</jpcoar:identifier>
          <jpcoar:identifier identifierType="HDL">http://hdl.handle.net/2297/00051720</jpcoar:identifier>
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            <jpcoar:relatedTitle>https://kaken.nii.ac.jp/search/?qm=20334774</jpcoar:relatedTitle>
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            <jpcoar:relatedIdentifier identifierType="URI">https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16K15645/</jpcoar:relatedIdentifier>
            <jpcoar:relatedTitle>https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16K15645/</jpcoar:relatedTitle>
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            <jpcoar:relatedIdentifier identifierType="URI">https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-16K15645/16K15645seika/</jpcoar:relatedIdentifier>
            <jpcoar:relatedTitle>https://kaken.nii.ac.jp/report/KAKENHI-PROJECT-16K15645/16K15645seika/</jpcoar:relatedTitle>
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          <jpcoar:sourceTitle>平成29(2017)年度 科学研究費補助金 挑戦的萌芽研究 研究成果報告書</jpcoar:sourceTitle>
          <jpcoar:sourceTitle xml:lang="en">2017 Fiscal Year Final Research Report</jpcoar:sourceTitle>
          <jpcoar:volume>2016-04-01 - 2018-03-31</jpcoar:volume>
          <jpcoar:pageStart>5p.</jpcoar:pageStart>
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            <datacite:date dateType="Available">2019-04-19</datacite:date>
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