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Validation of a novel model for the early detection of hepatocellular carcinoma
BACKGROUND: The biomarkers alpha-fetoprotein (AFP) and protein induced by vitamin K absence/antagonist-II (PIVKA-II) may be useful for detecting early-stage hepatocellular carcinoma (HCC). We evaluated the performance of AFP and PIVKA-II levels, alone and in combination with clinical factors, for th...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334458/ https://www.ncbi.nlm.nih.gov/pubmed/30675135 http://dx.doi.org/10.1186/s12014-018-9222-0 |
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author | Hemken, Philip M. Sokoll, Lori J. Yang, Xiaoqing Dai, Jianliang Elliott, Debra Gawel, Susan H. Lucht, Michael Feng, Ziding Marrero, Jorge A. Srivastava, Sudhir Chan, Daniel W. Davis, Gerard J. |
author_facet | Hemken, Philip M. Sokoll, Lori J. Yang, Xiaoqing Dai, Jianliang Elliott, Debra Gawel, Susan H. Lucht, Michael Feng, Ziding Marrero, Jorge A. Srivastava, Sudhir Chan, Daniel W. Davis, Gerard J. |
author_sort | Hemken, Philip M. |
collection | PubMed |
description | BACKGROUND: The biomarkers alpha-fetoprotein (AFP) and protein induced by vitamin K absence/antagonist-II (PIVKA-II) may be useful for detecting early-stage hepatocellular carcinoma (HCC). We evaluated the performance of AFP and PIVKA-II levels, alone and in combination with clinical factors, for the early detection of HCC. METHODS: In a case–control study, serum AFP and PIVKA-II were measured using the ARCHITECT immunoassay analyzer system in a cohort of 119 patients with HCC, 215 patients with non-malignant liver disease, and 34 healthy subjects. Five predictive models for detecting HCC were developed based on age, gender, AFP, and/or PIVKA-II levels; the best model was validated in an independent cohort of 416 patients with HCC and 412 control subjects with cirrhosis. RESULTS: In both cohorts, AFP and PIVKA-II concentrations were higher in patients with HCC compared to healthy controls and patients with non-malignant liver disease. The model that combined AFP and PIVKA-II, age, and gender had the highest AUC of 0.95 (0.95, 95% CI 0.93–0.98), with a sensitivity of 93% and a specificity of 84% in the development cohort, and an AUC of 0.87 (95% CI 0.85–0.90), sensitivity of 74%, and specificity of 85% in the validation cohort. When limiting the validation cohort to only early-stage HCC, the AUC was 0.85 (95% CI 0.81–0.88), sensitivity was 70%, and specificity was 86%. CONCLUSIONS: Compared to each biomarker alone, the combination of AFP and PIVKA-II with age and gender improved the accuracy of detecting HCC and differentiating HCC from non-malignant liver disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12014-018-9222-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6334458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63344582019-01-23 Validation of a novel model for the early detection of hepatocellular carcinoma Hemken, Philip M. Sokoll, Lori J. Yang, Xiaoqing Dai, Jianliang Elliott, Debra Gawel, Susan H. Lucht, Michael Feng, Ziding Marrero, Jorge A. Srivastava, Sudhir Chan, Daniel W. Davis, Gerard J. Clin Proteomics Research BACKGROUND: The biomarkers alpha-fetoprotein (AFP) and protein induced by vitamin K absence/antagonist-II (PIVKA-II) may be useful for detecting early-stage hepatocellular carcinoma (HCC). We evaluated the performance of AFP and PIVKA-II levels, alone and in combination with clinical factors, for the early detection of HCC. METHODS: In a case–control study, serum AFP and PIVKA-II were measured using the ARCHITECT immunoassay analyzer system in a cohort of 119 patients with HCC, 215 patients with non-malignant liver disease, and 34 healthy subjects. Five predictive models for detecting HCC were developed based on age, gender, AFP, and/or PIVKA-II levels; the best model was validated in an independent cohort of 416 patients with HCC and 412 control subjects with cirrhosis. RESULTS: In both cohorts, AFP and PIVKA-II concentrations were higher in patients with HCC compared to healthy controls and patients with non-malignant liver disease. The model that combined AFP and PIVKA-II, age, and gender had the highest AUC of 0.95 (0.95, 95% CI 0.93–0.98), with a sensitivity of 93% and a specificity of 84% in the development cohort, and an AUC of 0.87 (95% CI 0.85–0.90), sensitivity of 74%, and specificity of 85% in the validation cohort. When limiting the validation cohort to only early-stage HCC, the AUC was 0.85 (95% CI 0.81–0.88), sensitivity was 70%, and specificity was 86%. CONCLUSIONS: Compared to each biomarker alone, the combination of AFP and PIVKA-II with age and gender improved the accuracy of detecting HCC and differentiating HCC from non-malignant liver disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12014-018-9222-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-16 /pmc/articles/PMC6334458/ /pubmed/30675135 http://dx.doi.org/10.1186/s12014-018-9222-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Hemken, Philip M. Sokoll, Lori J. Yang, Xiaoqing Dai, Jianliang Elliott, Debra Gawel, Susan H. Lucht, Michael Feng, Ziding Marrero, Jorge A. Srivastava, Sudhir Chan, Daniel W. Davis, Gerard J. Validation of a novel model for the early detection of hepatocellular carcinoma |
title | Validation of a novel model for the early detection of hepatocellular carcinoma |
title_full | Validation of a novel model for the early detection of hepatocellular carcinoma |
title_fullStr | Validation of a novel model for the early detection of hepatocellular carcinoma |
title_full_unstemmed | Validation of a novel model for the early detection of hepatocellular carcinoma |
title_short | Validation of a novel model for the early detection of hepatocellular carcinoma |
title_sort | validation of a novel model for the early detection of hepatocellular carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334458/ https://www.ncbi.nlm.nih.gov/pubmed/30675135 http://dx.doi.org/10.1186/s12014-018-9222-0 |
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