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      <dc:title>Serum nuclear magnetic resonance metabolomics analysis of human metastatic colorectal cancer: Biomarkers and pathway analysis</dc:title>
      <dc:creator>Tristán, Ana Isabel</dc:creator>
      <dc:creator>Caba Pérez, Octavio</dc:creator>
      <dc:creator>Jiménez Luna, Cristina</dc:creator>
      <dc:creator>Melguizo Alonso, Consolación</dc:creator>
      <dc:creator>Prados Salazar, José Carlos</dc:creator>
      <dc:description>Junta de Andalucía, Grant/Award Numbers:&#xd;
102C2000004, UAL2020-AGR-B1781,&#xd;
P20_01041; Gobierno de España,&#xd;
Grant/Award Numbers: PDC2021–&#xd;
121248-I00, PLEC2021–007774; Instituto de&#xd;
Salud Carlos III (ISCIII), Grant/Award Number:&#xd;
PI19/01478; CTS-107 and FQM-376 groups</dc:description>
      <dc:description>We describe the use of nuclear magnetic resonance metabolomics to analyze blood&#xd;
serum samples from healthy individuals (n = 26) and those with metastatic colorectal&#xd;
cancer (CRC; n = 57). The assessment, employing both linear and nonlinear multivari-&#xd;
ate data analysis techniques, revealed specific metabolite changes associated with&#xd;
metastatic CRC, including increased levels of lactate, glutamate, and pyruvate, and&#xd;
decreased levels of certain amino acids and total fatty acids. Biomarker ratios such as&#xd;
glutamate-to-glutamine and pyruvate-to-alanine were also found to be related to&#xd;
CRC. The study also found that glutamate was linked to progression-free survival and&#xd;
that both glutamate and 3-hydroxybutyrate were risk factors for metastatic CRC.&#xd;
Additionally, gas chromatography coupled to flame-ionization detection was utilized&#xd;
to analyze the fatty acid profile and pathway analysis was performed on the profiled&#xd;
metabolites to understand the metabolic processes involved in CRC. A correlation&#xd;
was also found between the presence of certain metabolites in the blood of CRC&#xd;
patients and certain clinical features.</dc:description>
      <dc:date>2023-05-30T12:27:11Z</dc:date>
      <dc:date>2023-05-30T12:27:11Z</dc:date>
      <dc:date>2023</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Tristán AI, González-Flores E, Salmer on AM, et al. Serum nuclear magnetic resonance metabolomics analysis of human metastatic colorectal cancer: Biomarkers and pathway analysis. NMR in Biomedicine. 2023;e4935. [doi:10.1002/nbm.4935]</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/82033</dc:identifier>
      <dc:identifier>10.1002/nbm.4935</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>info:eu-repo/grantAgreement/EC/Next GenerationEU/PRTR (PDC2021–121248-I00 and PLEC2021–007774)</dc:relation>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
      <dc:publisher>Wiley</dc:publisher>
   </ow:Publication>
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