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Clinical performance of E2Fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis
Extensive research on the E2F transcription factor family has led to numerous insights that E2Fs were involved not only in proliferation and tumorigenesis but also in apoptosis and differentiation. In the present study, we analyzed the differential expression of E2Fs1-3 genes, and also evaluated the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511893/ https://www.ncbi.nlm.nih.gov/pubmed/28740578 http://dx.doi.org/10.18632/genesandcancer.143 |
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author | Liang, Bin Zhao, Jianying Wang, Xuan |
author_facet | Liang, Bin Zhao, Jianying Wang, Xuan |
author_sort | Liang, Bin |
collection | PubMed |
description | Extensive research on the E2F transcription factor family has led to numerous insights that E2Fs were involved not only in proliferation and tumorigenesis but also in apoptosis and differentiation. In the present study, we analyzed the differential expression of E2Fs1-3 genes, and also evaluated the impact of E2Fs 1-3 genes expression on clinical outcome from the Cancer Genome Atlas (TCGA) database. The results showed that E2F1, E2F2 and E2F3 expression was increased in KIRC tissues than matched normal tissues (E2F1, P < 0.001; E2F2, P < 0.001, E2F3, P = 0.001), respectively. E2F1, E2F2 and E2F3 were significantly different in metastasis status, lymph node status, stage, and T stage in KIRC patients (all P < 0.01). E2F1 and E2F2 had the sensitivity of 96.1% and 93.1% and the specificity of 87.2% and 91.7% in discriminating KIRC from normal controls. High E2F1, E2F2 and E2F3 expression were correlated to worsen overall survival (all P < 0.01), and high E2F3 expression had worse disease free survival (P = 0.0404). Multivariate Cox regression analysis revealed that E2F1 and E2F3 were independent prognostic factors for overall survival. Taken together, E2F1 and E2F2 may serve as valuable diagnostic markers for KIRC. Moreover, E2F1, E2F2 and E2F3 could provide valuable prognostic information for KIRC patients. |
format | Online Article Text |
id | pubmed-5511893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-55118932017-07-24 Clinical performance of E2Fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis Liang, Bin Zhao, Jianying Wang, Xuan Genes Cancer Research Paper Extensive research on the E2F transcription factor family has led to numerous insights that E2Fs were involved not only in proliferation and tumorigenesis but also in apoptosis and differentiation. In the present study, we analyzed the differential expression of E2Fs1-3 genes, and also evaluated the impact of E2Fs 1-3 genes expression on clinical outcome from the Cancer Genome Atlas (TCGA) database. The results showed that E2F1, E2F2 and E2F3 expression was increased in KIRC tissues than matched normal tissues (E2F1, P < 0.001; E2F2, P < 0.001, E2F3, P = 0.001), respectively. E2F1, E2F2 and E2F3 were significantly different in metastasis status, lymph node status, stage, and T stage in KIRC patients (all P < 0.01). E2F1 and E2F2 had the sensitivity of 96.1% and 93.1% and the specificity of 87.2% and 91.7% in discriminating KIRC from normal controls. High E2F1, E2F2 and E2F3 expression were correlated to worsen overall survival (all P < 0.01), and high E2F3 expression had worse disease free survival (P = 0.0404). Multivariate Cox regression analysis revealed that E2F1 and E2F3 were independent prognostic factors for overall survival. Taken together, E2F1 and E2F2 may serve as valuable diagnostic markers for KIRC. Moreover, E2F1, E2F2 and E2F3 could provide valuable prognostic information for KIRC patients. Impact Journals LLC 2017-05 /pmc/articles/PMC5511893/ /pubmed/28740578 http://dx.doi.org/10.18632/genesandcancer.143 Text en Copyright: © 2017 Liang et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Liang, Bin Zhao, Jianying Wang, Xuan Clinical performance of E2Fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis |
title | Clinical performance of E2Fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis |
title_full | Clinical performance of E2Fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis |
title_fullStr | Clinical performance of E2Fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis |
title_full_unstemmed | Clinical performance of E2Fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis |
title_short | Clinical performance of E2Fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis |
title_sort | clinical performance of e2fs 1-3 in kidney clear cell renal cancer, evidence from bioinformatics analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511893/ https://www.ncbi.nlm.nih.gov/pubmed/28740578 http://dx.doi.org/10.18632/genesandcancer.143 |
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