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Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma

More efficient biomarkers are needed to facilitate the early detection of hepatocellular carcinoma (HCC). We aimed to identify candidate biomarkers for HCC detection by proteomic analysis. First, we performed a global proteomic analysis of 10 paired HCC and non-tumor tissues. Then, we validated the...

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Autores principales: Du, Zhenhua, Liu, Xinyi, Wei, Xiaojun, Luo, Hongbo, Li, Peiyao, Shi, Mengting, Guo, Bingqian, Cui, Ying, Su, Zhenglin, Zeng, Jifeng, Si, Anfeng, Cao, Pengbo, Zhou, Gangqiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511324/
https://www.ncbi.nlm.nih.gov/pubmed/32968147
http://dx.doi.org/10.1038/s41598-020-72510-9
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author Du, Zhenhua
Liu, Xinyi
Wei, Xiaojun
Luo, Hongbo
Li, Peiyao
Shi, Mengting
Guo, Bingqian
Cui, Ying
Su, Zhenglin
Zeng, Jifeng
Si, Anfeng
Cao, Pengbo
Zhou, Gangqiao
author_facet Du, Zhenhua
Liu, Xinyi
Wei, Xiaojun
Luo, Hongbo
Li, Peiyao
Shi, Mengting
Guo, Bingqian
Cui, Ying
Su, Zhenglin
Zeng, Jifeng
Si, Anfeng
Cao, Pengbo
Zhou, Gangqiao
author_sort Du, Zhenhua
collection PubMed
description More efficient biomarkers are needed to facilitate the early detection of hepatocellular carcinoma (HCC). We aimed to identify candidate biomarkers for HCC detection by proteomic analysis. First, we performed a global proteomic analysis of 10 paired HCC and non-tumor tissues. Then, we validated the top-ranked proteins by targeted proteomic analyses in another tissue cohort. At last, we used enzyme-linked immunosorbent assays to validate the candidate biomarkers in multiple serum cohorts including HCC cases (HCCs), cirrhosis cases (LCs), and normal controls (NCs). We identified and validated 33 up-regulated proteins in HCC tissues. Among them, eight secretory or membrane proteins were further evaluated in serum, revealing that aldo–keto reductase family 1 member B10 (AKR1B10) and cathepsin A (CTSA) can distinguish HCCs from LCs and NCs. The area under the curves (AUCs) were 0.891 and 0.894 for AKR1B10 and CTSA, respectively, greater than that of alpha-fetoprotein (AFP; 0.831). Notably, combining the three proteins reached an AUC of 0.969, which outperformed AFP alone (P < 0.05). Furthermore, the serum AKR1B10 levels dramatically decreased after surgery. AKR1B10 and CTSA are potential serum biomarkers for HCC detection. The combination of AKR1B10, CTSA, and AFP may improve the HCC diagnostic efficacy.
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spelling pubmed-75113242020-09-24 Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma Du, Zhenhua Liu, Xinyi Wei, Xiaojun Luo, Hongbo Li, Peiyao Shi, Mengting Guo, Bingqian Cui, Ying Su, Zhenglin Zeng, Jifeng Si, Anfeng Cao, Pengbo Zhou, Gangqiao Sci Rep Article More efficient biomarkers are needed to facilitate the early detection of hepatocellular carcinoma (HCC). We aimed to identify candidate biomarkers for HCC detection by proteomic analysis. First, we performed a global proteomic analysis of 10 paired HCC and non-tumor tissues. Then, we validated the top-ranked proteins by targeted proteomic analyses in another tissue cohort. At last, we used enzyme-linked immunosorbent assays to validate the candidate biomarkers in multiple serum cohorts including HCC cases (HCCs), cirrhosis cases (LCs), and normal controls (NCs). We identified and validated 33 up-regulated proteins in HCC tissues. Among them, eight secretory or membrane proteins were further evaluated in serum, revealing that aldo–keto reductase family 1 member B10 (AKR1B10) and cathepsin A (CTSA) can distinguish HCCs from LCs and NCs. The area under the curves (AUCs) were 0.891 and 0.894 for AKR1B10 and CTSA, respectively, greater than that of alpha-fetoprotein (AFP; 0.831). Notably, combining the three proteins reached an AUC of 0.969, which outperformed AFP alone (P < 0.05). Furthermore, the serum AKR1B10 levels dramatically decreased after surgery. AKR1B10 and CTSA are potential serum biomarkers for HCC detection. The combination of AKR1B10, CTSA, and AFP may improve the HCC diagnostic efficacy. Nature Publishing Group UK 2020-09-23 /pmc/articles/PMC7511324/ /pubmed/32968147 http://dx.doi.org/10.1038/s41598-020-72510-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Du, Zhenhua
Liu, Xinyi
Wei, Xiaojun
Luo, Hongbo
Li, Peiyao
Shi, Mengting
Guo, Bingqian
Cui, Ying
Su, Zhenglin
Zeng, Jifeng
Si, Anfeng
Cao, Pengbo
Zhou, Gangqiao
Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma
title Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma
title_full Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma
title_fullStr Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma
title_full_unstemmed Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma
title_short Quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma
title_sort quantitative proteomics identifies a plasma multi-protein model for detection of hepatocellular carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511324/
https://www.ncbi.nlm.nih.gov/pubmed/32968147
http://dx.doi.org/10.1038/s41598-020-72510-9
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