<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-16T03:04:55Z</responseDate><request verb="GetRecord" identifier="oai:gredos.usal.es:10366/154809" metadataPrefix="qdc">https://gredos.usal.es/oai/request</request><GetRecord><record><header><identifier>oai:gredos.usal.es:10366/154809</identifier><datestamp>2026-06-20T19:10:55Z</datestamp><setSpec>com_10366_3992</setSpec><setSpec>com_10366_3947</setSpec><setSpec>com_10366_3946</setSpec><setSpec>com_10366_3823</setSpec><setSpec>com_10366_3974</setSpec><setSpec>col_10366_3993</setSpec><setSpec>col_10366_3975</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
<dc:title>Serum metabolites as diagnostic biomarkers for cholangiocarcinoma, hepatocellular carcinoma, and primary sclerosing cholangitis</dc:title>
<dc:creator>Banales, Jesus M.</dc:creator>
<dc:creator>Iñarrairaegui, Mercedes</dc:creator>
<dc:creator>Arbelaiz, Ander</dc:creator>
<dc:creator>Milkiewicz, Piotr</dc:creator>
<dc:creator>Muntané, Jordi</dc:creator>
<dc:creator>Muñoz-Bellvis, Luis</dc:creator>
<dc:creator>La Casta, Adelaida</dc:creator>
<dc:creator>González, Luis M.</dc:creator>
<dc:creator>Arretxe, Enara</dc:creator>
<dc:creator>Alonso, Cristina</dc:creator>
<dc:creator>Martinez-Arranz, Ibon</dc:creator>
<dc:creator>Lapitz, Ainhoa</dc:creator>
<dc:creator>Santos-Laso, Alvaro</dc:creator>
<dc:creator>Avila, Matias A.</dc:creator>
<dc:creator>Martínez-Chantar, María L.</dc:creator>
<dc:creator>Bujanda, Luis</dc:creator>
<dc:creator>García Marín, José Juan</dc:creator>
<dc:creator>Sangro, Bruno</dc:creator>
<dc:creator>Rodríguez Macías, Rocío Isabel</dc:creator>
<dc:subject>Serum Metabolites</dc:subject>
<dc:subject>Diagnostic Biomarkers</dc:subject>
<dc:subject>Cholangiocarcinoma</dc:subject>
<dc:subject>Hepatocellular Carcinoma</dc:subject>
<dc:subject>Primary sclerosing cholangitis</dc:subject>
<dcterms:abstract>[EN]Early and differential diagnosis of intrahepatic cholangiocarcinoma (iCCA) and hepatocellular carcinoma (HCC) by&#xd;
noninvasive methods represents a current clinical challenge. The analysis of low-molecular-weight metabolites by&#xd;
new high-throughput techniques is a strategy for identifying biomarkers. Here, we have investigated whether serum&#xd;
metabolome can provide useful biomarkers in the diagnosis of iCCA and HCC and could discriminate iCCA from&#xd;
HCC. Because primary sclerosing cholangitis (PSC) is a risk factor for CCA, serum metabolic profiles of PSC and&#xd;
CCA have also been compared. The analysis of the levels of lipids and amino acids in the serum of patients with&#xd;
iCCA, HCC, and PSC and healthy individuals (n = 20/group) showed differential profiles. Several metabolites presented high diagnostic value for iCCA versus control, HCC versus control, and PSC versus control, with areas&#xd;
under the receiver operating characteristic curve (AUC) greater than those found in serum for the nonspecific tumor&#xd;
markers carbohydrate antigen 19-9 (CA 19-9) and alpha-fetoprotein (AFP), commonly used to help in the diagnosis&#xd;
of iCCA and HCC, respectively. The development of an algorithm combining glycine, aspartic acid, SM(42:3), and&#xd;
SM(43:2) permitted to accurately differentiate in the diagnosis of both types of tumors (biopsy-proven). The proposed model yielded 0.890 AUC, 75% sensitivity, and 90% specificity. Another algorithm by combination of&#xd;
PC(34:3) and histidine accurately permitted to differentiate PSC from iCCA, with an AUC of 0.990, 100% sensitivity, and 70% specificity. These results were validated in independent cohorts of 14-15 patients per group and compared with profiles found in patients with nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. Conclusion:&#xd;
Specific changes in serum concentrations of certain metabolites are useful to differentiate iCCA from HCC or PSC,&#xd;
and could help in the early diagnosis of these diseases.</dcterms:abstract>
<dcterms:dateAccepted>2024-01-27T16:16:04Z</dcterms:dateAccepted>
<dcterms:available>2024-01-27T16:16:04Z</dcterms:available>
<dcterms:created>2024-01-27T16:16:04Z</dcterms:created>
<dcterms:issued>2019</dcterms:issued>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>Banales, J. M., Iñarrairaegui, M., Arbelaiz, A., Milkiewicz, P., Muntané, J., Muñoz-Bellvis, L., La Casta, A., Gonzalez, L. M., Arretxe, E., Alonso, C., Martínez-Arranz, I., Lapitz, A., Santos-Laso, A., Avila, M. A., Martínez-Chantar, M. L., Bujanda, L., Marin, J. J. G., Sangro, B., &amp; Macias, R. I. R. (2019). Serum Metabolites as Diagnostic Biomarkers for Cholangiocarcinoma, Hepatocellular Carcinoma, and Primary Sclerosing Cholangitis. Hepatology, 70(2), 547-562. https://doi.org/10.1002/HEP.30319</dc:identifier>
<dc:identifier>0270-9139</dc:identifier>
<dc:identifier>http://hdl.handle.net/10366/154809</dc:identifier>
<dc:identifier>10.1002/hep.30319</dc:identifier>
<dc:identifier>1527-3350</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>https://doi.org/10.1002/HEP.30319</dc:relation>
<dc:relation>“Fondo de Investigaciones Sanitarias” (Carlos III Health Institute: PI15/01132 and PI18/01075 to J.M.B., PI16/00598 to J.J.G.M., PI16/01845 to B.S., PI16/01126 to M.A.A., PI16/00090 to J.M.), Spanish Ministry of Economy, Industry and Competitiveness (SAF2016‐75197‐R to R.I.R.M., SAF2017‐87301‐R to M.L.M.‐C.), Miguel Servet Programme (CON14/00129 to J.M.B.), “Diputación Foral de Gipuzkoa” (DFG15/010, DFG16/004 to J.M.B.), “Basque Foundation for Innovation and Health Research: EiTB Maratoia” (BIO15/CA/016/BD to J.M.B., BIO15/CA/016/BD to M.L.M.‐C.), Basque Country Department of Health (2013111173 to L.B., 2017111010 to J.M.B., 2013111114 to M.L.M.‐C.), the Andalusian Government (“Consejería de Economía, Innovación, Ciencia y Empleo”: CTS‐6264 and “Consejería de Salud”: PI‐0198‐2016 to J.M.), Junta de Castilla y León, Spain (SA063P17 to J.J.G.M.), European Comission Horizon 2020 project (SEP‐210503876; ESCALON to J.M.B.), and Proyecto Hepacare, Fundación La Caixa (to M.A.A.).</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
<dc:publisher>Lippincott, Williams &amp; Wilkins</dc:publisher>
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