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A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration

BACKGROUND: Super-enhancer (SE) refers to a regulatory element with super transcriptional activity, which can enrich transcription factors and drive gene expression. SE-related genes play an important role in the pathogenesis of malignant tumors, including hepatocellular carcinoma (HCC). METHODS: Th...

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Autores principales: Wei, Xueyan, Zhou, Zihan, Long, Meiying, Lin, Qiuling, Qiu, Moqin, Chen, Peiqin, Huang, Qiongguang, Qiu, Jialin, Jiang, Yanji, Wen, Qiuping, Liu, Yingchun, Li, Runwei, Nong, Cunli, Guo, Qian, Yu, Hongping, Zhou, Xianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948016/
https://www.ncbi.nlm.nih.gov/pubmed/36845708
http://dx.doi.org/10.3389/fonc.2023.1043203
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author Wei, Xueyan
Zhou, Zihan
Long, Meiying
Lin, Qiuling
Qiu, Moqin
Chen, Peiqin
Huang, Qiongguang
Qiu, Jialin
Jiang, Yanji
Wen, Qiuping
Liu, Yingchun
Li, Runwei
Nong, Cunli
Guo, Qian
Yu, Hongping
Zhou, Xianguo
author_facet Wei, Xueyan
Zhou, Zihan
Long, Meiying
Lin, Qiuling
Qiu, Moqin
Chen, Peiqin
Huang, Qiongguang
Qiu, Jialin
Jiang, Yanji
Wen, Qiuping
Liu, Yingchun
Li, Runwei
Nong, Cunli
Guo, Qian
Yu, Hongping
Zhou, Xianguo
author_sort Wei, Xueyan
collection PubMed
description BACKGROUND: Super-enhancer (SE) refers to a regulatory element with super transcriptional activity, which can enrich transcription factors and drive gene expression. SE-related genes play an important role in the pathogenesis of malignant tumors, including hepatocellular carcinoma (HCC). METHODS: The SE-related genes were obtained from the human super-enhancer database (SEdb). Data from the transcriptome analysis and related clinical information with HCC were obtained from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) database. The upregulated SE-related genes from TCGA-LIHC were identified by the DESeq2R package. Multivariate Cox regression analysis was used to construct a four-gene prognostic signature. According to the median risk score, HCC patients were divided into high-risk and low-risk group patients. RESULTS: The Kaplan-Meier (KM) curve showed that a significantly worse prognosis was found for the high-risk group (P<0.001). In the TCGA-LIHC dataset, the area under the curve (AUC) values were 0.737, 0.662, and 0.667 for the model predicting overall survival (OS) over 1-, 3-, and 5- years, respectively, indicating the good prediction ability of our prediction model. This model’s prognostic value was further validated in the LIRI-JP dataset and HCC samples (n=65). Furthermore, we found that higher infiltration level of M0 macrophages and upregulated of CTLA4 and PD1 in the high-risk group, implying that immunotherapy could be effective for those patients. CONCLUSION: These results provide further evidence that the unique SE-related gene model could accurately predict the prognosis of HCC.
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spelling pubmed-99480162023-02-24 A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration Wei, Xueyan Zhou, Zihan Long, Meiying Lin, Qiuling Qiu, Moqin Chen, Peiqin Huang, Qiongguang Qiu, Jialin Jiang, Yanji Wen, Qiuping Liu, Yingchun Li, Runwei Nong, Cunli Guo, Qian Yu, Hongping Zhou, Xianguo Front Oncol Oncology BACKGROUND: Super-enhancer (SE) refers to a regulatory element with super transcriptional activity, which can enrich transcription factors and drive gene expression. SE-related genes play an important role in the pathogenesis of malignant tumors, including hepatocellular carcinoma (HCC). METHODS: The SE-related genes were obtained from the human super-enhancer database (SEdb). Data from the transcriptome analysis and related clinical information with HCC were obtained from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) database. The upregulated SE-related genes from TCGA-LIHC were identified by the DESeq2R package. Multivariate Cox regression analysis was used to construct a four-gene prognostic signature. According to the median risk score, HCC patients were divided into high-risk and low-risk group patients. RESULTS: The Kaplan-Meier (KM) curve showed that a significantly worse prognosis was found for the high-risk group (P<0.001). In the TCGA-LIHC dataset, the area under the curve (AUC) values were 0.737, 0.662, and 0.667 for the model predicting overall survival (OS) over 1-, 3-, and 5- years, respectively, indicating the good prediction ability of our prediction model. This model’s prognostic value was further validated in the LIRI-JP dataset and HCC samples (n=65). Furthermore, we found that higher infiltration level of M0 macrophages and upregulated of CTLA4 and PD1 in the high-risk group, implying that immunotherapy could be effective for those patients. CONCLUSION: These results provide further evidence that the unique SE-related gene model could accurately predict the prognosis of HCC. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9948016/ /pubmed/36845708 http://dx.doi.org/10.3389/fonc.2023.1043203 Text en Copyright © 2023 Wei, Zhou, Long, Lin, Qiu, Chen, Huang, Qiu, Jiang, Wen, Liu, Li, Nong, Guo, Yu and Zhou https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Wei, Xueyan
Zhou, Zihan
Long, Meiying
Lin, Qiuling
Qiu, Moqin
Chen, Peiqin
Huang, Qiongguang
Qiu, Jialin
Jiang, Yanji
Wen, Qiuping
Liu, Yingchun
Li, Runwei
Nong, Cunli
Guo, Qian
Yu, Hongping
Zhou, Xianguo
A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration
title A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration
title_full A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration
title_fullStr A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration
title_full_unstemmed A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration
title_short A novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration
title_sort novel signature constructed by super-enhancer-related genes for the prediction of prognosis in hepatocellular carcinoma and associated with immune infiltration
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948016/
https://www.ncbi.nlm.nih.gov/pubmed/36845708
http://dx.doi.org/10.3389/fonc.2023.1043203
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