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Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis
BACKGROUND: Early growth response proteins (EGRs), as a transcriptional regulatory family, are involved in the process of cell growth, differentiation, apoptosis, and even carcinogenesis. However, the role of EGRs in tumors, their expression levels, and their prognostic value remain unclear. METHODS...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907094/ https://www.ncbi.nlm.nih.gov/pubmed/31844579 http://dx.doi.org/10.7717/peerj.8183 |
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author | Fei, Yuchang Yu, Huan Huang, Shuo Chen, Peifeng Pan, Lei |
author_facet | Fei, Yuchang Yu, Huan Huang, Shuo Chen, Peifeng Pan, Lei |
author_sort | Fei, Yuchang |
collection | PubMed |
description | BACKGROUND: Early growth response proteins (EGRs), as a transcriptional regulatory family, are involved in the process of cell growth, differentiation, apoptosis, and even carcinogenesis. However, the role of EGRs in tumors, their expression levels, and their prognostic value remain unclear. METHODS: Using the Oncomine database, Kaplan–Meier Plotter, bcGenExMiner v4.2, cBioPortal, and other tools, the association between the survival data of breast carcinoma (BC) patients and transcriptional levels of four EGRs was investigated. RESULTS: According to the Oncomine database, in comparison to normal tissues, the expression level of EGR2/3 mRNA in BC tissues was decreased, but there was no difference in the expression level of EGR4 mRNA. On the basis of the Scarff-Bloom-Richardson (SBR) grading system, the downregulated expression level of EGR1/2/3 and upregulated expression level of EGR4 were correlated with an increased histological differentiation level, with significant differences (p < 0.05). Kaplan–Meier curves suggest that a reduction in EGR2/3 mRNA expression is related to recurrence-free survival (RFS) in BC patients. In addition, the mRNA expression level of EGR1/2/3 was related to metastatic relapse-free survival (MRFS) in BC patients with metastatic recurrence (p < 0.05). CONCLUSION: EGR1/2/3 can be utilized as an important factor for evaluating prognosis and may be relevant to diagnosis. EGR4 may play a role in the occurrence and development of BC. The specific function and mechanism of EGRs in BC deserve further study. |
format | Online Article Text |
id | pubmed-6907094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69070942019-12-16 Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis Fei, Yuchang Yu, Huan Huang, Shuo Chen, Peifeng Pan, Lei PeerJ Bioinformatics BACKGROUND: Early growth response proteins (EGRs), as a transcriptional regulatory family, are involved in the process of cell growth, differentiation, apoptosis, and even carcinogenesis. However, the role of EGRs in tumors, their expression levels, and their prognostic value remain unclear. METHODS: Using the Oncomine database, Kaplan–Meier Plotter, bcGenExMiner v4.2, cBioPortal, and other tools, the association between the survival data of breast carcinoma (BC) patients and transcriptional levels of four EGRs was investigated. RESULTS: According to the Oncomine database, in comparison to normal tissues, the expression level of EGR2/3 mRNA in BC tissues was decreased, but there was no difference in the expression level of EGR4 mRNA. On the basis of the Scarff-Bloom-Richardson (SBR) grading system, the downregulated expression level of EGR1/2/3 and upregulated expression level of EGR4 were correlated with an increased histological differentiation level, with significant differences (p < 0.05). Kaplan–Meier curves suggest that a reduction in EGR2/3 mRNA expression is related to recurrence-free survival (RFS) in BC patients. In addition, the mRNA expression level of EGR1/2/3 was related to metastatic relapse-free survival (MRFS) in BC patients with metastatic recurrence (p < 0.05). CONCLUSION: EGR1/2/3 can be utilized as an important factor for evaluating prognosis and may be relevant to diagnosis. EGR4 may play a role in the occurrence and development of BC. The specific function and mechanism of EGRs in BC deserve further study. PeerJ Inc. 2019-12-09 /pmc/articles/PMC6907094/ /pubmed/31844579 http://dx.doi.org/10.7717/peerj.8183 Text en ©2019 Fei et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Fei, Yuchang Yu, Huan Huang, Shuo Chen, Peifeng Pan, Lei Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis |
title | Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis |
title_full | Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis |
title_fullStr | Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis |
title_full_unstemmed | Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis |
title_short | Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis |
title_sort | expression and prognostic analyses of early growth response proteins (egrs) in human breast carcinoma based on database analysis |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907094/ https://www.ncbi.nlm.nih.gov/pubmed/31844579 http://dx.doi.org/10.7717/peerj.8183 |
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