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Abnormal expression of HNRNPA3 in multistep hepatocarcinogenesis
Hepatocarcinogenesis is a multistep process involving progression from cirrhosis, to low-grade dysplastic nodule, to high-grade dysplastic nodule (HGDN) and, eventually, to hepatocellular carcinoma (HCC). Early detection of HCC is challenging as the differential diagnosis between HGDN and early HCC...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709557/ https://www.ncbi.nlm.nih.gov/pubmed/33281957 http://dx.doi.org/10.3892/ol.2020.12307 |
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author | Ren, Xinlu Dong, Yi Duan, Miao Zhang, Hui Gao, Peng |
author_facet | Ren, Xinlu Dong, Yi Duan, Miao Zhang, Hui Gao, Peng |
author_sort | Ren, Xinlu |
collection | PubMed |
description | Hepatocarcinogenesis is a multistep process involving progression from cirrhosis, to low-grade dysplastic nodule, to high-grade dysplastic nodule (HGDN) and, eventually, to hepatocellular carcinoma (HCC). Early detection of HCC is challenging as the differential diagnosis between HGDN and early HCC (eHCC) is difficult. The aim of the present study was to identify a novel biomarker to specifically differentiate between HGDN and eHCC, which may facilitate early diagnosis of HCC. Immunohistochemistry was performed to determine the expression of heterogeneous nuclear ribonucleoprotein A3 (HNRNPA3) in cirrhosis, dysplastic nodules (DNs), well-differentiated HCC and progressed HCC. The staining was evaluated by assigning a staining intensity score of 0–3 and a percentage of positively stained cells score of 0–4. Receiver operator characteristic (ROC) curve analysis was used to assess the ability of HNRNPA3 expression to differentiate between DNs and HCC. HNRNPA3 expression increased in a stepwise trend in non-tumor hepatic tissue, DNs, eHCC and progressed HCC. ROC curves revealed that HNRNPA3 expression could be used to differentiate between HGDN and eHCC, particularly in combination with glypican 3 (GPC3), with a specificity of 100%. Moreover, HNRNPA3 expression was associated with HCC differentiation. In addition, high expression of HNRNPA3 was found to be associated with poor survival rates in patients with HCC. These findings demonstrated that HNRNPA3 combined with GPC3 is a helpful diagnostic biomarker in the differential diagnosis during the multistep process of hepatocarcinogenesis, particularly in the differential diagnosis between HGDN and eHCC. To the best of our knowledge, this is the first study to report the significance of HNRNPA3 in hepatocarcinogenesis and its potential role in carcinogenesis. |
format | Online Article Text |
id | pubmed-7709557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-77095572020-12-03 Abnormal expression of HNRNPA3 in multistep hepatocarcinogenesis Ren, Xinlu Dong, Yi Duan, Miao Zhang, Hui Gao, Peng Oncol Lett Articles Hepatocarcinogenesis is a multistep process involving progression from cirrhosis, to low-grade dysplastic nodule, to high-grade dysplastic nodule (HGDN) and, eventually, to hepatocellular carcinoma (HCC). Early detection of HCC is challenging as the differential diagnosis between HGDN and early HCC (eHCC) is difficult. The aim of the present study was to identify a novel biomarker to specifically differentiate between HGDN and eHCC, which may facilitate early diagnosis of HCC. Immunohistochemistry was performed to determine the expression of heterogeneous nuclear ribonucleoprotein A3 (HNRNPA3) in cirrhosis, dysplastic nodules (DNs), well-differentiated HCC and progressed HCC. The staining was evaluated by assigning a staining intensity score of 0–3 and a percentage of positively stained cells score of 0–4. Receiver operator characteristic (ROC) curve analysis was used to assess the ability of HNRNPA3 expression to differentiate between DNs and HCC. HNRNPA3 expression increased in a stepwise trend in non-tumor hepatic tissue, DNs, eHCC and progressed HCC. ROC curves revealed that HNRNPA3 expression could be used to differentiate between HGDN and eHCC, particularly in combination with glypican 3 (GPC3), with a specificity of 100%. Moreover, HNRNPA3 expression was associated with HCC differentiation. In addition, high expression of HNRNPA3 was found to be associated with poor survival rates in patients with HCC. These findings demonstrated that HNRNPA3 combined with GPC3 is a helpful diagnostic biomarker in the differential diagnosis during the multistep process of hepatocarcinogenesis, particularly in the differential diagnosis between HGDN and eHCC. To the best of our knowledge, this is the first study to report the significance of HNRNPA3 in hepatocarcinogenesis and its potential role in carcinogenesis. D.A. Spandidos 2021-01 2020-11-17 /pmc/articles/PMC7709557/ /pubmed/33281957 http://dx.doi.org/10.3892/ol.2020.12307 Text en Copyright: © Ren et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Ren, Xinlu Dong, Yi Duan, Miao Zhang, Hui Gao, Peng Abnormal expression of HNRNPA3 in multistep hepatocarcinogenesis |
title | Abnormal expression of HNRNPA3 in multistep hepatocarcinogenesis |
title_full | Abnormal expression of HNRNPA3 in multistep hepatocarcinogenesis |
title_fullStr | Abnormal expression of HNRNPA3 in multistep hepatocarcinogenesis |
title_full_unstemmed | Abnormal expression of HNRNPA3 in multistep hepatocarcinogenesis |
title_short | Abnormal expression of HNRNPA3 in multistep hepatocarcinogenesis |
title_sort | abnormal expression of hnrnpa3 in multistep hepatocarcinogenesis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709557/ https://www.ncbi.nlm.nih.gov/pubmed/33281957 http://dx.doi.org/10.3892/ol.2020.12307 |
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