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Integrated analysis of the E2F transcription factors across cancer types

E2F transcription factors are associated with the development of cancer. However, the E2F family genes have not yet been studied in a comprehensive manner. Using The Cancer Genome Atlas, the present study analyzed the functions of the E2F family genes across different types of tumor. It was revealed...

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Autores principales: Wang, Haiwei, Wang, Xinrui, Xu, Liangpu, Zhang, Ji, Cao, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058048/
https://www.ncbi.nlm.nih.gov/pubmed/32323836
http://dx.doi.org/10.3892/or.2020.7504
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author Wang, Haiwei
Wang, Xinrui
Xu, Liangpu
Zhang, Ji
Cao, Hua
author_facet Wang, Haiwei
Wang, Xinrui
Xu, Liangpu
Zhang, Ji
Cao, Hua
author_sort Wang, Haiwei
collection PubMed
description E2F transcription factors are associated with the development of cancer. However, the E2F family genes have not yet been studied in a comprehensive manner. Using The Cancer Genome Atlas, the present study analyzed the functions of the E2F family genes across different types of tumor. It was revealed that compared with normal tissues, the E2F family genes are highly expressed in several types of tumor tissue. Furthermore, E2F transcription factors were significantly enriched in tumor samples across different types of tumor. The high expression levels of E2F family genes were associated with an unfavorable prognosis in liver hepatocellular carcinoma (LIHC) and lung adenocarcinoma (LUAD). Furthermore, patients with pathological T1 stage and iCluster2 molecular subtype of LIHC expressed particularly low levels of E2F family genes. The present study demonstrated that hypo-DNA methylation, DNA amplification and TP53 mutation contributed to the high expression levels of E2F family genes in cancer cells. Finally, the present study revealed that, compared with other types of tumor, the E2F family genes were specifically downregulated in patients with LIHC. The expression levels and prognostic effects of the E2F family genes were validated using the Gene Expression Omnibus database. The results of the present study revealed the biological functions of E2F family genes in the development of cancer and provided potential biomarkers for further therapeutic studies, particularly for patients with LIHC and LUAD.
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spelling pubmed-70580482020-03-18 Integrated analysis of the E2F transcription factors across cancer types Wang, Haiwei Wang, Xinrui Xu, Liangpu Zhang, Ji Cao, Hua Oncol Rep Articles E2F transcription factors are associated with the development of cancer. However, the E2F family genes have not yet been studied in a comprehensive manner. Using The Cancer Genome Atlas, the present study analyzed the functions of the E2F family genes across different types of tumor. It was revealed that compared with normal tissues, the E2F family genes are highly expressed in several types of tumor tissue. Furthermore, E2F transcription factors were significantly enriched in tumor samples across different types of tumor. The high expression levels of E2F family genes were associated with an unfavorable prognosis in liver hepatocellular carcinoma (LIHC) and lung adenocarcinoma (LUAD). Furthermore, patients with pathological T1 stage and iCluster2 molecular subtype of LIHC expressed particularly low levels of E2F family genes. The present study demonstrated that hypo-DNA methylation, DNA amplification and TP53 mutation contributed to the high expression levels of E2F family genes in cancer cells. Finally, the present study revealed that, compared with other types of tumor, the E2F family genes were specifically downregulated in patients with LIHC. The expression levels and prognostic effects of the E2F family genes were validated using the Gene Expression Omnibus database. The results of the present study revealed the biological functions of E2F family genes in the development of cancer and provided potential biomarkers for further therapeutic studies, particularly for patients with LIHC and LUAD. D.A. Spandidos 2020-04 2020-02-17 /pmc/articles/PMC7058048/ /pubmed/32323836 http://dx.doi.org/10.3892/or.2020.7504 Text en Copyright: © Wang 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
Wang, Haiwei
Wang, Xinrui
Xu, Liangpu
Zhang, Ji
Cao, Hua
Integrated analysis of the E2F transcription factors across cancer types
title Integrated analysis of the E2F transcription factors across cancer types
title_full Integrated analysis of the E2F transcription factors across cancer types
title_fullStr Integrated analysis of the E2F transcription factors across cancer types
title_full_unstemmed Integrated analysis of the E2F transcription factors across cancer types
title_short Integrated analysis of the E2F transcription factors across cancer types
title_sort integrated analysis of the e2f transcription factors across cancer types
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058048/
https://www.ncbi.nlm.nih.gov/pubmed/32323836
http://dx.doi.org/10.3892/or.2020.7504
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