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Anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers
Cells mount a transcriptional anti-oxidative stress (AOS) response program to scavenge reactive oxygen species (ROS) that arise from chemical, physical, and metabolic challenges. This protective program has been shown to reduce carcinogenesis triggered by chemical and physical insults. However, it i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926850/ https://www.ncbi.nlm.nih.gov/pubmed/24342878 |
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author | Rotblat, Barak Grunewald, Thomas G. P. Leprivier, Gabriel Melino, Gerry Knight, Richard A. |
author_facet | Rotblat, Barak Grunewald, Thomas G. P. Leprivier, Gabriel Melino, Gerry Knight, Richard A. |
author_sort | Rotblat, Barak |
collection | PubMed |
description | Cells mount a transcriptional anti-oxidative stress (AOS) response program to scavenge reactive oxygen species (ROS) that arise from chemical, physical, and metabolic challenges. This protective program has been shown to reduce carcinogenesis triggered by chemical and physical insults. However, it is also hijacked by established cancers to thrive and proliferate within the hostile tumor microenvironment and to gain resistance against chemo- and radiotherapies. Therefore, targeting the AOS response proteins that are exploited by cancer cells is an attractive therapeutic strategy. In order to identify the AOS genes that are suspected to support cancer progression and resistance, we analyzed the expression patterns of 285 genes annotated for being involved in oxidative stress in 994 tumors and 353 normal tissues. Thereby we identified a signature of 116 genes that are highly overexpressed in multiple cancers while being only minimally expressed in normal tissues. To establish which of these genes are more likely to functionally drive cancer resistance and progression, we further identified those whose overexpression correlates with negative patient outcome in breast and lung carcinoma. Gene-set enrichment, gene ontology, network, and pathway analyses revealed that members of the thioredoxin and glutathione pathways are prominent components of this oncogenic signature and that activation of these pathways is common feature of many cancer entities. Interestingly, a large fraction of these AOS genes are downstream targets of the transcription factors NRF2, NF-kappaB, and FOXM1, and rely on NADPH for their enzymatic activities highlighting promising drug targets. We discuss these findings and propose therapeutic strategies that may be applied to overcome cancer resistance. |
format | Online Article Text |
id | pubmed-3926850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-39268502014-02-18 Anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers Rotblat, Barak Grunewald, Thomas G. P. Leprivier, Gabriel Melino, Gerry Knight, Richard A. Oncotarget Research Perspective Cells mount a transcriptional anti-oxidative stress (AOS) response program to scavenge reactive oxygen species (ROS) that arise from chemical, physical, and metabolic challenges. This protective program has been shown to reduce carcinogenesis triggered by chemical and physical insults. However, it is also hijacked by established cancers to thrive and proliferate within the hostile tumor microenvironment and to gain resistance against chemo- and radiotherapies. Therefore, targeting the AOS response proteins that are exploited by cancer cells is an attractive therapeutic strategy. In order to identify the AOS genes that are suspected to support cancer progression and resistance, we analyzed the expression patterns of 285 genes annotated for being involved in oxidative stress in 994 tumors and 353 normal tissues. Thereby we identified a signature of 116 genes that are highly overexpressed in multiple cancers while being only minimally expressed in normal tissues. To establish which of these genes are more likely to functionally drive cancer resistance and progression, we further identified those whose overexpression correlates with negative patient outcome in breast and lung carcinoma. Gene-set enrichment, gene ontology, network, and pathway analyses revealed that members of the thioredoxin and glutathione pathways are prominent components of this oncogenic signature and that activation of these pathways is common feature of many cancer entities. Interestingly, a large fraction of these AOS genes are downstream targets of the transcription factors NRF2, NF-kappaB, and FOXM1, and rely on NADPH for their enzymatic activities highlighting promising drug targets. We discuss these findings and propose therapeutic strategies that may be applied to overcome cancer resistance. Impact Journals LLC 2013-12-15 /pmc/articles/PMC3926850/ /pubmed/24342878 Text en Copyright: © 2013 Rotblat et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Perspective Rotblat, Barak Grunewald, Thomas G. P. Leprivier, Gabriel Melino, Gerry Knight, Richard A. Anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers |
title | Anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers |
title_full | Anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers |
title_fullStr | Anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers |
title_full_unstemmed | Anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers |
title_short | Anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers |
title_sort | anti-oxidative stress response genes: bioinformatic analysis of their expression and relevance in multiple cancers |
topic | Research Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926850/ https://www.ncbi.nlm.nih.gov/pubmed/24342878 |
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