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CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma

BACKGROUND AND AIMS: The growing knowledge of ferroptosis has suggested the regulatory role of ferroptosis in hepatocellular carcinoma (HCC), but the pertinent molecular mechanisms remain unclear. Herein, this study investigated the mechanistic basis of ferroptosis-related genes (ferrGenes) in the g...

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Autores principales: Liang, Daomiao, Luo, Lanzhu, Wang, Jiang, Liu, Tongyu, Guo, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: XIA & HE Publishing Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412702/
https://www.ncbi.nlm.nih.gov/pubmed/37577230
http://dx.doi.org/10.14218/JCTH.2023.00034
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author Liang, Daomiao
Luo, Lanzhu
Wang, Jiang
Liu, Tongyu
Guo, Chao
author_facet Liang, Daomiao
Luo, Lanzhu
Wang, Jiang
Liu, Tongyu
Guo, Chao
author_sort Liang, Daomiao
collection PubMed
description BACKGROUND AND AIMS: The growing knowledge of ferroptosis has suggested the regulatory role of ferroptosis in hepatocellular carcinoma (HCC), but the pertinent molecular mechanisms remain unclear. Herein, this study investigated the mechanistic basis of ferroptosis-related genes (ferrGenes) in the growth of HCC. METHODS: Differentially expressed human ferrGenes and tumor-related transcription factors (TFs) were obtained from the The Cancer Genome Atlas (TCGA) dataset and the GTEx dataset. Spearman method-based correlation analysis were conducted to construct TF-ferrGene coexpression regulatory network. Key genes associated with prognosis were singled out with Lasso regression and multivariate Cox analysis to construct the prognostic risk model. Then the accuracy and independent prognostic ability of the model were evaluated. Expression of CENPA and STMN1 was determined in clinical HCC tissues and HCC cells, and their binding was analyzed with dual-luciferase and chromatin immunoprecipitation (ChIP) assays. Furthermore, ectopic expression and knockdown assays were performed in HCC cells to assess the effect of CENPA and STMN1 on ferroptosis and malignant phenotypes. RESULTS: The prognostic risk model constructed based on the eight TF-ferrGene regulatory network-related genes accurately predicted the prognosis of HCC patients. It was strongly related to the clinical characteristics of HCC patients. Moreover, CENPA/STMN1 might be a key TF-ferrGene regulatory network in ferroptosis of HCC. CENPA and STMN1 were overexpressed in HCC tissues and cells. Additionally, CENPA facilitated STMN1 transcription by binding to STMN1 promoter, thus facilitating the malignant phenotypes and suppressing the ferroptosis of HCC cells. CONCLUSIONS: Taken together, CENPA curbs the ferroptosis of HCC cells by upregulating STMN1 transcription, thereby promoting HCC growth.
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spelling pubmed-104127022023-08-11 CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma Liang, Daomiao Luo, Lanzhu Wang, Jiang Liu, Tongyu Guo, Chao J Clin Transl Hepatol Original Article BACKGROUND AND AIMS: The growing knowledge of ferroptosis has suggested the regulatory role of ferroptosis in hepatocellular carcinoma (HCC), but the pertinent molecular mechanisms remain unclear. Herein, this study investigated the mechanistic basis of ferroptosis-related genes (ferrGenes) in the growth of HCC. METHODS: Differentially expressed human ferrGenes and tumor-related transcription factors (TFs) were obtained from the The Cancer Genome Atlas (TCGA) dataset and the GTEx dataset. Spearman method-based correlation analysis were conducted to construct TF-ferrGene coexpression regulatory network. Key genes associated with prognosis were singled out with Lasso regression and multivariate Cox analysis to construct the prognostic risk model. Then the accuracy and independent prognostic ability of the model were evaluated. Expression of CENPA and STMN1 was determined in clinical HCC tissues and HCC cells, and their binding was analyzed with dual-luciferase and chromatin immunoprecipitation (ChIP) assays. Furthermore, ectopic expression and knockdown assays were performed in HCC cells to assess the effect of CENPA and STMN1 on ferroptosis and malignant phenotypes. RESULTS: The prognostic risk model constructed based on the eight TF-ferrGene regulatory network-related genes accurately predicted the prognosis of HCC patients. It was strongly related to the clinical characteristics of HCC patients. Moreover, CENPA/STMN1 might be a key TF-ferrGene regulatory network in ferroptosis of HCC. CENPA and STMN1 were overexpressed in HCC tissues and cells. Additionally, CENPA facilitated STMN1 transcription by binding to STMN1 promoter, thus facilitating the malignant phenotypes and suppressing the ferroptosis of HCC cells. CONCLUSIONS: Taken together, CENPA curbs the ferroptosis of HCC cells by upregulating STMN1 transcription, thereby promoting HCC growth. XIA & HE Publishing Inc. 2023-10-28 2023-06-12 /pmc/articles/PMC10412702/ /pubmed/37577230 http://dx.doi.org/10.14218/JCTH.2023.00034 Text en © 2023 Authors. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Liang, Daomiao
Luo, Lanzhu
Wang, Jiang
Liu, Tongyu
Guo, Chao
CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma
title CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma
title_full CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma
title_fullStr CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma
title_full_unstemmed CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma
title_short CENPA-driven STMN1 Transcription Inhibits Ferroptosis in Hepatocellular Carcinoma
title_sort cenpa-driven stmn1 transcription inhibits ferroptosis in hepatocellular carcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412702/
https://www.ncbi.nlm.nih.gov/pubmed/37577230
http://dx.doi.org/10.14218/JCTH.2023.00034
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