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Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma

OBJECTIVE: This study aims to build a prognostic model of hepatocellular carcinoma (HCC) with ferroptosis-associated genes and explore their molecular function. METHODS: Gene expression data and clinical information were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TC...

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Autores principales: Wu, Qixian, Tan, Zhenlin, Xiong, Yu, Gu, Chengxin, Zhou, Jingdon, Yang, Hui, Zhou, Jiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192498/
https://www.ncbi.nlm.nih.gov/pubmed/37198416
http://dx.doi.org/10.1007/s12672-023-00677-4
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author Wu, Qixian
Tan, Zhenlin
Xiong, Yu
Gu, Chengxin
Zhou, Jingdon
Yang, Hui
Zhou, Jiyuan
author_facet Wu, Qixian
Tan, Zhenlin
Xiong, Yu
Gu, Chengxin
Zhou, Jingdon
Yang, Hui
Zhou, Jiyuan
author_sort Wu, Qixian
collection PubMed
description OBJECTIVE: This study aims to build a prognostic model of hepatocellular carcinoma (HCC) with ferroptosis-associated genes and explore their molecular function. METHODS: Gene expression data and clinical information were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases and the International Cancer Genome Consortium (ICGC). A ferroptosis-associated gene set was obtained from the FerrDb database to identify differentially expressed genes. Then, we performed pathway enrichment analysis and immune infiltration analysis. A combined model based on ferroptosis-associated genes for predicting the overall survival of HCC was built by univariate and multivariate Cox regression analyses. Quantitative real-time polymerase chain reaction, Western blotting, colony formation, CCK-8, and EdU incorporation assays were performed to clarify the function of CAPG in the regulation of cell proliferation in human HCC. Ferroptosis was evaluated by glutathione (GSH), malondialdehyde (MDA), and total iron detection. RESULTS: Forty-nine ferroptosis-related genes were significantly correlated with HCC, 19 of which had prognostic significance. CAPG, SLC7A11 and SQSTM1 were used to construct a novel risk model. The areas under the curves (AUCs) were 0.746 and 0.720 (1 year) in the training and validation groups, respectively. The survival analysis indicated that patients with high risk scores exhibited worse survival in the training and validation groups. The risk score was also identified as an independent prognostic factor of overall survival (OS), which established and validated the predictive abilities of the nomogram. The risk score was also significantly correlated with the expression of immune checkpoint genes. In vitro data showed that CAPG knockdown dramatically suppressed HCC cell proliferation, and the underlying molecular mechanisms might be that the silencing of CAPG reduced the expression of SLC7A11 and promoted ferroptosis. CONCLUSION: The established risk model can be used to predict the prognosis of HCC. At the mechanistic level, CAPG may drive HCC progression by regulating SLC7A11, and ferroptosis activation in HCC patients with high CAPG expression may serve as a potential therapeutic strategy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-023-00677-4.
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spelling pubmed-101924982023-05-19 Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma Wu, Qixian Tan, Zhenlin Xiong, Yu Gu, Chengxin Zhou, Jingdon Yang, Hui Zhou, Jiyuan Discov Oncol Research OBJECTIVE: This study aims to build a prognostic model of hepatocellular carcinoma (HCC) with ferroptosis-associated genes and explore their molecular function. METHODS: Gene expression data and clinical information were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases and the International Cancer Genome Consortium (ICGC). A ferroptosis-associated gene set was obtained from the FerrDb database to identify differentially expressed genes. Then, we performed pathway enrichment analysis and immune infiltration analysis. A combined model based on ferroptosis-associated genes for predicting the overall survival of HCC was built by univariate and multivariate Cox regression analyses. Quantitative real-time polymerase chain reaction, Western blotting, colony formation, CCK-8, and EdU incorporation assays were performed to clarify the function of CAPG in the regulation of cell proliferation in human HCC. Ferroptosis was evaluated by glutathione (GSH), malondialdehyde (MDA), and total iron detection. RESULTS: Forty-nine ferroptosis-related genes were significantly correlated with HCC, 19 of which had prognostic significance. CAPG, SLC7A11 and SQSTM1 were used to construct a novel risk model. The areas under the curves (AUCs) were 0.746 and 0.720 (1 year) in the training and validation groups, respectively. The survival analysis indicated that patients with high risk scores exhibited worse survival in the training and validation groups. The risk score was also identified as an independent prognostic factor of overall survival (OS), which established and validated the predictive abilities of the nomogram. The risk score was also significantly correlated with the expression of immune checkpoint genes. In vitro data showed that CAPG knockdown dramatically suppressed HCC cell proliferation, and the underlying molecular mechanisms might be that the silencing of CAPG reduced the expression of SLC7A11 and promoted ferroptosis. CONCLUSION: The established risk model can be used to predict the prognosis of HCC. At the mechanistic level, CAPG may drive HCC progression by regulating SLC7A11, and ferroptosis activation in HCC patients with high CAPG expression may serve as a potential therapeutic strategy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-023-00677-4. Springer US 2023-05-17 /pmc/articles/PMC10192498/ /pubmed/37198416 http://dx.doi.org/10.1007/s12672-023-00677-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Research
Wu, Qixian
Tan, Zhenlin
Xiong, Yu
Gu, Chengxin
Zhou, Jingdon
Yang, Hui
Zhou, Jiyuan
Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma
title Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma
title_full Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma
title_fullStr Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma
title_full_unstemmed Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma
title_short Comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma
title_sort comprehensive analysis of ferroptosis-related genes for clinical and biological significance in hepatocellular carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192498/
https://www.ncbi.nlm.nih.gov/pubmed/37198416
http://dx.doi.org/10.1007/s12672-023-00677-4
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