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    <identifier>10.57760/sciencedb.20464</identifier>
    <datestamp>2025-02-05T09:21:56Z</datestamp>
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  <dc:date>2025-02-05</dc:date>
  <dc:title>Identification of Salivary Biomarkers in Colorectal Cancer by Integrating Olink Proteomics and Metabolomics</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.20464</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>	This study integrated the diagnostic potential of saliva with multi-omics approaches for CRC research. We employed Olink PEA and LC-MS/MS to analyze protein and metabolite changes in the saliva of CRC patients. Using machine learning, we developed a protein-metabolite biomarker model with good diagnostic performance, offering novel insights for CRC screening and potential intervention strategies.</dc:description>
  <dc:subject>colorectal cancer; saliva; biomarkers; olink proteomic; untargeted metabolomics</dc:subject>
  <dc:creator>Hairong Su</dc:creator>
  <dc:creator>Xiangyu Gu</dc:creator>
  <dc:creator>Weizheng Zhang</dc:creator>
  <dc:creator>Fengye Lin</dc:creator>
  <dc:creator>Xinyi Lu</dc:creator>
  <dc:creator>Xuan Zeng</dc:creator>
  <dc:creator>Chuyang Wang</dc:creator>
  <dc:creator>Weicheng Chen</dc:creator>
  <dc:creator>Wofeng Liu</dc:creator>
  <dc:creator>Ping Tan</dc:creator>
  <dc:creator>Liaonan Zou</dc:creator>
  <dc:creator>Bing Gu</dc:creator>
  <dc:creator>Qubo Chen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1021/acs.jproteome.5c00091</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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