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Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison

[Image: see text] 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 t...

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Autores principales: Kim, Ju Yeon, Kim, Jaenyeon, Lim, Young-Suk, Gwak, Geum-Youn, Yeo, Injoon, Kim, Yoseop, Lee, Jihyeon, Shin, Dongyoon, Lee, Jeong-Hoon, Kim, Youngsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434733/
https://www.ncbi.nlm.nih.gov/pubmed/36061641
http://dx.doi.org/10.1021/acsomega.2c02926
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author Kim, Ju Yeon
Kim, Jaenyeon
Lim, Young-Suk
Gwak, Geum-Youn
Yeo, Injoon
Kim, Yoseop
Lee, Jihyeon
Shin, Dongyoon
Lee, Jeong-Hoon
Kim, Youngsoo
author_facet Kim, Ju Yeon
Kim, Jaenyeon
Lim, Young-Suk
Gwak, Geum-Youn
Yeo, Injoon
Kim, Yoseop
Lee, Jihyeon
Shin, Dongyoon
Lee, Jeong-Hoon
Kim, Youngsoo
author_sort Kim, Ju Yeon
collection PubMed
description [Image: see text] 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 P < 0.05), test (0.894 and 0.893 vs 0.593, both P < 0.05), and confirmation sets (0.961 and 0.937 vs 0.806, both P < 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 P < 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.
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spelling pubmed-94347332022-09-02 Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison Kim, Ju Yeon Kim, Jaenyeon Lim, Young-Suk Gwak, Geum-Youn Yeo, Injoon Kim, Yoseop Lee, Jihyeon Shin, Dongyoon Lee, Jeong-Hoon Kim, Youngsoo ACS Omega [Image: see text] 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 P < 0.05), test (0.894 and 0.893 vs 0.593, both P < 0.05), and confirmation sets (0.961 and 0.937 vs 0.806, both P < 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 P < 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. American Chemical Society 2022-08-19 /pmc/articles/PMC9434733/ /pubmed/36061641 http://dx.doi.org/10.1021/acsomega.2c02926 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Kim, Ju Yeon
Kim, Jaenyeon
Lim, Young-Suk
Gwak, Geum-Youn
Yeo, Injoon
Kim, Yoseop
Lee, Jihyeon
Shin, Dongyoon
Lee, Jeong-Hoon
Kim, Youngsoo
Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison
title Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison
title_full Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison
title_fullStr Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison
title_full_unstemmed Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison
title_short Proteome Multimarker Panel for the Early Detection of Hepatocellular Carcinoma: Multicenter Derivation, Validation, and Comparison
title_sort proteome multimarker panel for the early detection of hepatocellular carcinoma: multicenter derivation, validation, and comparison
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434733/
https://www.ncbi.nlm.nih.gov/pubmed/36061641
http://dx.doi.org/10.1021/acsomega.2c02926
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