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In silico identification of EP400 and TIA1 as critical transcription factors involved in human hepatocellular carcinoma relapse

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-associated mortality worldwide. Transcription factors (TFs) are crucial proteins that regulate gene expression during cancer progression; however, the roles of TFs in HCC relapse remain unclear. To identify the TFs that drive HCC r...

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Autores principales: Hong, Weiguo, Hu, Yan, Fan, Zhenping, Gao, Rong, Yang, Ruichuang, Bi, Jingfeng, Hou, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924164/
https://www.ncbi.nlm.nih.gov/pubmed/31897208
http://dx.doi.org/10.3892/ol.2019.11171
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author Hong, Weiguo
Hu, Yan
Fan, Zhenping
Gao, Rong
Yang, Ruichuang
Bi, Jingfeng
Hou, Jun
author_facet Hong, Weiguo
Hu, Yan
Fan, Zhenping
Gao, Rong
Yang, Ruichuang
Bi, Jingfeng
Hou, Jun
author_sort Hong, Weiguo
collection PubMed
description Hepatocellular carcinoma (HCC) is the second leading cause of cancer-associated mortality worldwide. Transcription factors (TFs) are crucial proteins that regulate gene expression during cancer progression; however, the roles of TFs in HCC relapse remain unclear. To identify the TFs that drive HCC relapse, the present study constructed co-expression network and identified the Tan module the most relevant to HCC relapse. Numerous hub TFs (highly connected) were subsequently obtained from the Tan module according to the intra-module connectivity and the protein-protein interaction network connectivity. Next, E1A-binding protein p400 (EP400) and TIA1 cytotoxic granule associated RNA binding protein (TIA1) were identified as hub TFs differentially connected between the relapsed and non-relapsed subnetworks. In addition, zinc finger protein 143 (ZNF143) and Yin Yang 1 (YY1) were also identified by using the plugin iRegulon in Cytoscape as master upstream regulatory elements, which could potentially regulate expression of the genes and TFs of the Tan module, respectively. The Kaplan-Meier (KM) curves obtained from KMplot and Gene Expression Profiling Interactive Analysis tools confirmed that the high expression of EP400 and TIA1 were significantly associated with shorter relapse-free survival and disease-free survival of patients with HCC. Furthermore, the KM curves from the UALCAN database demonstrated that high EP400 expression significantly reduced the overall survival of patients with HCC. EP400 and TIA1 may therefore serve as potential prognostic and therapeutic biomarkers.
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spelling pubmed-69241642020-01-02 In silico identification of EP400 and TIA1 as critical transcription factors involved in human hepatocellular carcinoma relapse Hong, Weiguo Hu, Yan Fan, Zhenping Gao, Rong Yang, Ruichuang Bi, Jingfeng Hou, Jun Oncol Lett Articles Hepatocellular carcinoma (HCC) is the second leading cause of cancer-associated mortality worldwide. Transcription factors (TFs) are crucial proteins that regulate gene expression during cancer progression; however, the roles of TFs in HCC relapse remain unclear. To identify the TFs that drive HCC relapse, the present study constructed co-expression network and identified the Tan module the most relevant to HCC relapse. Numerous hub TFs (highly connected) were subsequently obtained from the Tan module according to the intra-module connectivity and the protein-protein interaction network connectivity. Next, E1A-binding protein p400 (EP400) and TIA1 cytotoxic granule associated RNA binding protein (TIA1) were identified as hub TFs differentially connected between the relapsed and non-relapsed subnetworks. In addition, zinc finger protein 143 (ZNF143) and Yin Yang 1 (YY1) were also identified by using the plugin iRegulon in Cytoscape as master upstream regulatory elements, which could potentially regulate expression of the genes and TFs of the Tan module, respectively. The Kaplan-Meier (KM) curves obtained from KMplot and Gene Expression Profiling Interactive Analysis tools confirmed that the high expression of EP400 and TIA1 were significantly associated with shorter relapse-free survival and disease-free survival of patients with HCC. Furthermore, the KM curves from the UALCAN database demonstrated that high EP400 expression significantly reduced the overall survival of patients with HCC. EP400 and TIA1 may therefore serve as potential prognostic and therapeutic biomarkers. D.A. Spandidos 2020-01 2019-12-02 /pmc/articles/PMC6924164/ /pubmed/31897208 http://dx.doi.org/10.3892/ol.2019.11171 Text en Copyright: © Hong et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Hong, Weiguo
Hu, Yan
Fan, Zhenping
Gao, Rong
Yang, Ruichuang
Bi, Jingfeng
Hou, Jun
In silico identification of EP400 and TIA1 as critical transcription factors involved in human hepatocellular carcinoma relapse
title In silico identification of EP400 and TIA1 as critical transcription factors involved in human hepatocellular carcinoma relapse
title_full In silico identification of EP400 and TIA1 as critical transcription factors involved in human hepatocellular carcinoma relapse
title_fullStr In silico identification of EP400 and TIA1 as critical transcription factors involved in human hepatocellular carcinoma relapse
title_full_unstemmed In silico identification of EP400 and TIA1 as critical transcription factors involved in human hepatocellular carcinoma relapse
title_short In silico identification of EP400 and TIA1 as critical transcription factors involved in human hepatocellular carcinoma relapse
title_sort in silico identification of ep400 and tia1 as critical transcription factors involved in human hepatocellular carcinoma relapse
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924164/
https://www.ncbi.nlm.nih.gov/pubmed/31897208
http://dx.doi.org/10.3892/ol.2019.11171
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