Literature DB >> 28621228

Diagnostic performance of tumor markers AFP and PIVKA-II in Chinese hepatocellular carcinoma patients.

Shujing Huang1, Feifei Jiang1, Ying Wang1, Yanhua Yu1, Siqian Ren2, Xiaowei Wang2, Peng Yin2, Jinli Lou1.   

Abstract

Alpha-fetoprotein is an effective biomarker as an aid in hepatocellular carcinoma detection in many countries. However, alpha-fetoprotein has its limitations, especially in early hepatocellular carcinoma diagnosis. Protein induced by vitamin K absence or antagonist-II is another biomarker that is used for hepatocellular carcinoma detection. The aim of this study is to compare the diagnostic performance of alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II alone and in combination to explore improving biomarker performance as an aid in early hepatocellular carcinoma detection. In this study a total of 582 serum samples including 132 hepatocellular carcinoma patients, 250 non-hepatocellular carcinoma patients, and 200 healthy volunteers were collected. Alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II levels were measured by both chemiluminescent enzyme immunoassay on LUMIPULSE platform and by chemiluminescent microparticle immunoassay on ARCHITECT platform. Receiver operation characteristic curve analyses were performed for each biomarker and in combination. The results showed that Alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II in combination have shown higher area under the curve compared to alpha-fetoprotein alone for diagnosis in whole patients (0.906 vs 0.870) in hepatocellular carcinoma early-stage patients (0.809 vs 0.77) and in hepatitis B virus-related hepatocellular carcinoma patients (0.851 vs 0.788) with ARCHITECT platform. Protein induced by vitamin K absence or antagonist-II showed higher area under the curve than alpha-fetoprotein for diagnosis of hepatitis B virus-related hepatocellular carcinoma patients (0.901 vs 0.788).We conclude that Combining alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II may improve the diagnostic value for early detection of hepatocellular carcinoma. Protein induced by vitamin K absence or antagonist-II performs better than alpha-fetoprotein in diagnosis of hepatitis B virus-related hepatocellular carcinoma patients.

Entities:  

Keywords:  Diagnosis; alpha-fetoprotein; hepatocellular carcinoma; protein induced by vitamin K antagonist-II

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Substances:

Year:  2017        PMID: 28621228     DOI: 10.1177/1010428317705763

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  5 in total

1.  Validation of the GALAD Model and Establishment of GAAP Model for Diagnosis of Hepatocellular Carcinoma in Chinese Patients.

Authors:  Miaoxia Liu; Ruihong Wu; Xu Liu; Hongqin Xu; Xiumei Chi; Xiaomei Wang; Mengru Zhan; Bao Wang; Fei Peng; Xiuzhu Gao; Ying Shi; Xiaoyu Wen; Yali Ji; Qinglong Jin; Junqi Niu
Journal:  J Hepatocell Carcinoma       Date:  2020-10-23

2.  Identification of the Pathogenic Biomarkers for Hepatocellular Carcinoma Based on RNA-seq Analyses.

Authors:  Wentao Jiang; Li Zhang; Qingjun Guo; Honghai Wang; Ming Ma; Jisan Sun; Chiyi Chen
Journal:  Pathol Oncol Res       Date:  2019-01-24       Impact factor: 3.201

3.  Evaluation of Serum Des-Gamma-Carboxy Prothrombin for the Diagnosis of Hepatitis B Virus-Related Hepatocellular Carcinoma: A Meta-Analysis.

Authors:  Jiu Chen; Guolin Wu; Youdi Li
Journal:  Dis Markers       Date:  2018-10-04       Impact factor: 3.434

4.  Clinical Value Evaluation of microRNA-324-3p and Other Available Biomarkers in Patients With HBV Infection-Related Hepatocellular Carcinoma.

Authors:  Li Zhao; Qian Yang; Jianbo Liu
Journal:  Open Forum Infect Dis       Date:  2021-03-06       Impact factor: 3.835

5.  Diagnostic value of the γ-glutamyltransferase and alanine transaminase ratio, alpha-fetoprotein, and protein induced by vitamin K absence or antagonist II in hepatitis B virus-related hepatocellular carcinoma.

Authors:  Guangrong Wang; Xiaolan Lu; Qin Du; Guoyuan Zhang; Dongsheng Wang; Qiang Wang; Xiaolan Guo
Journal:  Sci Rep       Date:  2020-08-11       Impact factor: 4.379

  5 in total

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