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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.
Afiliação
  • Kim JY; Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Kim J; Interdisciplinary Program of Bioengineering, Graduate School, Seoul National University, Seoul 08826, Republic of Korea.
  • Lim YS; Department of Gastroenterology, Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul 44610, Republic of Korea.
  • Gwak GY; Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
  • Yeo I; Interdisciplinary Program of Bioengineering, Graduate School, Seoul National University, Seoul 08826, Republic of Korea.
  • Kim Y; Interdisciplinary Program of Bioengineering, Graduate School, Seoul National University, Seoul 08826, Republic of Korea.
  • Lee J; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Shin D; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Lee JH; Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
  • Kim Y; Interdisciplinary Program of Bioengineering, Graduate School, Seoul National University, Seoul 08826, Republic of Korea.
ACS Omega ; 7(34): 29934-29943, 2022 Aug 30.
Article em En | MEDLINE | ID: mdl-36061641
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 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.

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: ACS Omega Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: ACS Omega Ano de publicação: 2022 Tipo de documento: Article