<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kim JY</submitter><funding>Ministry of Trade, Industry and Energy</funding><funding>Korea Health Industry Development Institute</funding><funding>National Research Foundation of Korea</funding><pagination>29934-29943</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9434733</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(34)</volume><pubmed_abstract>Conventional methods for the surveillance of hepatocellular carcinoma (HCC) by imaging, with and without serum tumor markers, are suboptimal with regard to accuracy. We aimed to develop and validate a reliable serum biomarker panel for the early detection of HCC using a proteomic technique. This multicenter case-control study comprised 727 patients with HCC and patients with risk factors but no HCC. We developed a multiple reaction monitoring-mass spectrometry (MRM-MS) multimarker panel using 17 proteins from the sera of 398 patients. Area under the receiver operating characteristics curve (AUROC) values of this MRM-MS panel with and without α-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II) were compared. The combination and standalone MRM-MS panels had higher AUROC values than AFP in the training (0.940 and 0.929 vs 0.775, both &lt;i>P&lt;/i> &lt; 0.05), test (0.894 and 0.893 vs 0.593, both &lt;i>P&lt;/i> &lt; 0.05), and confirmation sets (0.961 and 0.937 vs 0.806, both &lt;i>P&lt;/i> &lt; 0.05) in detecting small single HCC. The combination and standalone MRM-MS panels had significantly higher AUROC values than the GALAD score (0.945 and 0.931 vs 0.829, both &lt;i>P&lt;/i> &lt; 0.05). Our proteome 17-protein multimarker panel distinguished HCC patients from high-risk controls and had high accuracy in the early detection of HCC.</pubmed_abstract><journal>ACS omega</journal><pubmed_title>Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison.</pubmed_title><pmcid>PMC9434733</pmcid><funding_grant_id>HL19C0020</funding_grant_id><funding_grant_id>HI19C1132</funding_grant_id><funding_grant_id>20000134</funding_grant_id><pubmed_authors>Lim YS</pubmed_authors><pubmed_authors>Shin D</pubmed_authors><pubmed_authors>Kim JY</pubmed_authors><pubmed_authors>Lee J</pubmed_authors><pubmed_authors>Yeo I</pubmed_authors><pubmed_authors>Kim Y</pubmed_authors><pubmed_authors>Kim J</pubmed_authors><pubmed_authors>Gwak GY</pubmed_authors><pubmed_authors>Lee JH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison.</name><description>Conventional methods for the surveillance of hepatocellular carcinoma (HCC) by imaging, with and without serum tumor markers, are suboptimal with regard to accuracy. We aimed to develop and validate a reliable serum biomarker panel for the early detection of HCC using a proteomic technique. This multicenter case-control study comprised 727 patients with HCC and patients with risk factors but no HCC. We developed a multiple reaction monitoring-mass spectrometry (MRM-MS) multimarker panel using 17 proteins from the sera of 398 patients. Area under the receiver operating characteristics curve (AUROC) values of this MRM-MS panel with and without α-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II) were compared. The combination and standalone MRM-MS panels had higher AUROC values than AFP in the training (0.940 and 0.929 vs 0.775, both &lt;i>P&lt;/i> &lt; 0.05), test (0.894 and 0.893 vs 0.593, both &lt;i>P&lt;/i> &lt; 0.05), and confirmation sets (0.961 and 0.937 vs 0.806, both &lt;i>P&lt;/i> &lt; 0.05) in detecting small single HCC. The combination and standalone MRM-MS panels had significantly higher AUROC values than the GALAD score (0.945 and 0.931 vs 0.829, both &lt;i>P&lt;/i> &lt; 0.05). Our proteome 17-protein multimarker panel distinguished HCC patients from high-risk controls and had high accuracy in the early detection of HCC.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2024-12-04T01:08:38.826Z</modification><creation>2024-12-04T01:08:38.826Z</creation></dates><accession>S-EPMC9434733</accession><cross_references><pubmed>36061641</pubmed><doi>10.1021/acsomega.2c02926</doi></cross_references></HashMap>