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Risk prediction for dermatomyositis-associated hepatocellular carcinoma

OBJECTIVE: To explore dermatomyositis signature genes as potential biomarkers of hepatocellular carcinoma and their associated molecular regulatory mechanisms. METHODS: Based on the mRNA-Seq data of dermatomyositis and hepatocellular carcinoma in public databases, five dermatomyositis signature gene...

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Autores principales: Zhang, Xusheng, Ma, Yongxin, Liu, Kejun, Chen, Long, Ding, Lin, Ma, Weihu, Chen, Bendong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233868/
https://www.ncbi.nlm.nih.gov/pubmed/37259059
http://dx.doi.org/10.1186/s12859-023-05353-6
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author Zhang, Xusheng
Ma, Yongxin
Liu, Kejun
Chen, Long
Ding, Lin
Ma, Weihu
Chen, Bendong
author_facet Zhang, Xusheng
Ma, Yongxin
Liu, Kejun
Chen, Long
Ding, Lin
Ma, Weihu
Chen, Bendong
author_sort Zhang, Xusheng
collection PubMed
description OBJECTIVE: To explore dermatomyositis signature genes as potential biomarkers of hepatocellular carcinoma and their associated molecular regulatory mechanisms. METHODS: Based on the mRNA-Seq data of dermatomyositis and hepatocellular carcinoma in public databases, five dermatomyositis signature genes were screened by LASSO regression analysis and support vector machine (SVM) algorithm, and their biological functions in dermatomyositis with hepatocellular carcinoma were investigated, and a nomogram risk prediction model for hepatocellular carcinoma was constructed and its predictive efficiency was initially evaluated. The immune profile in hepatocellular carcinoma was examined based on the CIBERSORT and ssGSEA algorithms, and the correlation between five dermatomyositis signature genes and tumor immune cell infiltration and immune checkpoints in hepatocellular carcinoma was investigated. RESULTS: The expression levels of five dermatomyositis signature genes were significantly altered in hepatocellular carcinoma and showed good diagnostic efficacy for hepatocellular carcinoma, suggesting that they may be potential predictive targets for hepatocellular carcinoma, and the risk prediction model based on five dermatomyositis signature genes showed good risk prediction efficacy for hepatocellular carcinoma and has good potential for clinical application. In addition, we also found that the upregulation of SPP1 expression may activate the PI3K/ART signaling pathway through integrin-mediated activation, which in turn regulates the development and progression of hepatocellular carcinoma. CONCLUSION: LY6E, IFITM1, GADD45A, MT1M, and SPP1 are potential predictive targets for new-onset hepatocellular carcinoma in patients with dermatomyositis, and the upregulation of SPP1 expression may activate the PI3K/ART signaling pathway through the mediation of integrins to promote the development and progression of hepatocellular carcinoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05353-6.
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spelling pubmed-102338682023-06-02 Risk prediction for dermatomyositis-associated hepatocellular carcinoma Zhang, Xusheng Ma, Yongxin Liu, Kejun Chen, Long Ding, Lin Ma, Weihu Chen, Bendong BMC Bioinformatics Research OBJECTIVE: To explore dermatomyositis signature genes as potential biomarkers of hepatocellular carcinoma and their associated molecular regulatory mechanisms. METHODS: Based on the mRNA-Seq data of dermatomyositis and hepatocellular carcinoma in public databases, five dermatomyositis signature genes were screened by LASSO regression analysis and support vector machine (SVM) algorithm, and their biological functions in dermatomyositis with hepatocellular carcinoma were investigated, and a nomogram risk prediction model for hepatocellular carcinoma was constructed and its predictive efficiency was initially evaluated. The immune profile in hepatocellular carcinoma was examined based on the CIBERSORT and ssGSEA algorithms, and the correlation between five dermatomyositis signature genes and tumor immune cell infiltration and immune checkpoints in hepatocellular carcinoma was investigated. RESULTS: The expression levels of five dermatomyositis signature genes were significantly altered in hepatocellular carcinoma and showed good diagnostic efficacy for hepatocellular carcinoma, suggesting that they may be potential predictive targets for hepatocellular carcinoma, and the risk prediction model based on five dermatomyositis signature genes showed good risk prediction efficacy for hepatocellular carcinoma and has good potential for clinical application. In addition, we also found that the upregulation of SPP1 expression may activate the PI3K/ART signaling pathway through integrin-mediated activation, which in turn regulates the development and progression of hepatocellular carcinoma. CONCLUSION: LY6E, IFITM1, GADD45A, MT1M, and SPP1 are potential predictive targets for new-onset hepatocellular carcinoma in patients with dermatomyositis, and the upregulation of SPP1 expression may activate the PI3K/ART signaling pathway through the mediation of integrins to promote the development and progression of hepatocellular carcinoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05353-6. BioMed Central 2023-05-31 /pmc/articles/PMC10233868/ /pubmed/37259059 http://dx.doi.org/10.1186/s12859-023-05353-6 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Xusheng
Ma, Yongxin
Liu, Kejun
Chen, Long
Ding, Lin
Ma, Weihu
Chen, Bendong
Risk prediction for dermatomyositis-associated hepatocellular carcinoma
title Risk prediction for dermatomyositis-associated hepatocellular carcinoma
title_full Risk prediction for dermatomyositis-associated hepatocellular carcinoma
title_fullStr Risk prediction for dermatomyositis-associated hepatocellular carcinoma
title_full_unstemmed Risk prediction for dermatomyositis-associated hepatocellular carcinoma
title_short Risk prediction for dermatomyositis-associated hepatocellular carcinoma
title_sort risk prediction for dermatomyositis-associated hepatocellular carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233868/
https://www.ncbi.nlm.nih.gov/pubmed/37259059
http://dx.doi.org/10.1186/s12859-023-05353-6
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