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ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation

Liver hepatocellular carcinoma (LIHC) is one of the main cancers worldwide and has high morbidity and mortality rates. Although previous studies have shown that ANXA10 is expressed at low levels in LIHC tumor tissues, the biological function of ANXA10 in LIHC is still unclear. Therefore, we utilized...

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Autores principales: Zhang, Chaohua, Peng, Linglong, Gu, Haitao, Wang, Jijian, Wang, Yaxu, Xu, Zhiquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884230/
https://www.ncbi.nlm.nih.gov/pubmed/36709331
http://dx.doi.org/10.1038/s41598-023-28527-x
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author Zhang, Chaohua
Peng, Linglong
Gu, Haitao
Wang, Jijian
Wang, Yaxu
Xu, Zhiquan
author_facet Zhang, Chaohua
Peng, Linglong
Gu, Haitao
Wang, Jijian
Wang, Yaxu
Xu, Zhiquan
author_sort Zhang, Chaohua
collection PubMed
description Liver hepatocellular carcinoma (LIHC) is one of the main cancers worldwide and has high morbidity and mortality rates. Although previous studies have shown that ANXA10 is expressed at low levels in LIHC tumor tissues, the biological function of ANXA10 in LIHC is still unclear. Therefore, we utilized TCGA, TIMER, GEPIA2, TISIDB, LinkedOmics, ssGSEA algorithms and CIBERSORT methodology to preliminarily evaluate the potential mechanism of ANXA10 in LIHC. In vitro experiments were used to further verify some functions of ANXA10. Consequently, we found that ANXA10 mRNA/protein expression was downregulated in LIHC tissue compared to normal tissue. ANXA10 was significantly linked with clinicopathological features, immunocytes, multiple cancer-related pathways, m6A modification and a ceRNA network. A three-gene prognostic signature rooted in ANXA10-related immunomodulators was determined and found to be an independent prognostic predictor. A nomogram was constructed to predict survival with good accuracy. Additionally, in vitro trials revealed that ANXA10 upregulation inhibited LIHC cell proliferation and migration. This study reveals that ANXA10 may serve as a prognostic marker and promising therapeutic target in LIHC clinical practice through various biologic functions.
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spelling pubmed-98842302023-01-30 ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation Zhang, Chaohua Peng, Linglong Gu, Haitao Wang, Jijian Wang, Yaxu Xu, Zhiquan Sci Rep Article Liver hepatocellular carcinoma (LIHC) is one of the main cancers worldwide and has high morbidity and mortality rates. Although previous studies have shown that ANXA10 is expressed at low levels in LIHC tumor tissues, the biological function of ANXA10 in LIHC is still unclear. Therefore, we utilized TCGA, TIMER, GEPIA2, TISIDB, LinkedOmics, ssGSEA algorithms and CIBERSORT methodology to preliminarily evaluate the potential mechanism of ANXA10 in LIHC. In vitro experiments were used to further verify some functions of ANXA10. Consequently, we found that ANXA10 mRNA/protein expression was downregulated in LIHC tissue compared to normal tissue. ANXA10 was significantly linked with clinicopathological features, immunocytes, multiple cancer-related pathways, m6A modification and a ceRNA network. A three-gene prognostic signature rooted in ANXA10-related immunomodulators was determined and found to be an independent prognostic predictor. A nomogram was constructed to predict survival with good accuracy. Additionally, in vitro trials revealed that ANXA10 upregulation inhibited LIHC cell proliferation and migration. This study reveals that ANXA10 may serve as a prognostic marker and promising therapeutic target in LIHC clinical practice through various biologic functions. Nature Publishing Group UK 2023-01-28 /pmc/articles/PMC9884230/ /pubmed/36709331 http://dx.doi.org/10.1038/s41598-023-28527-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Chaohua
Peng, Linglong
Gu, Haitao
Wang, Jijian
Wang, Yaxu
Xu, Zhiquan
ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation
title ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation
title_full ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation
title_fullStr ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation
title_full_unstemmed ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation
title_short ANXA10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation
title_sort anxa10 is a prognostic biomarker and suppressor of hepatocellular carcinoma: a bioinformatics analysis and experimental validation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884230/
https://www.ncbi.nlm.nih.gov/pubmed/36709331
http://dx.doi.org/10.1038/s41598-023-28527-x
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