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REGγ is associated with multiple oncogenic pathways in human cancers
BACKGROUND: Recent studies suggest a role of the proteasome activator, REGγ, in cancer progression. Since there are limited numbers of known REGγ targets, it is not known which cancers and pathways are associated with REGγ. METHODS: REGγ protein expressions in four different cancers were investigate...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3350384/ https://www.ncbi.nlm.nih.gov/pubmed/22361172 http://dx.doi.org/10.1186/1471-2407-12-75 |
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author | He, Jing Cui, Long Zeng, Yu Wang, Guangqiang Zhou, Ping Yang, Yuanyuan Ji, Lei Zhao, Yanyan Chen, Jiwu Wang, Zhuo Shi, Tieliu Zhang, Pei Chen, Rui Li, Xiaotao |
author_facet | He, Jing Cui, Long Zeng, Yu Wang, Guangqiang Zhou, Ping Yang, Yuanyuan Ji, Lei Zhao, Yanyan Chen, Jiwu Wang, Zhuo Shi, Tieliu Zhang, Pei Chen, Rui Li, Xiaotao |
author_sort | He, Jing |
collection | PubMed |
description | BACKGROUND: Recent studies suggest a role of the proteasome activator, REGγ, in cancer progression. Since there are limited numbers of known REGγ targets, it is not known which cancers and pathways are associated with REGγ. METHODS: REGγ protein expressions in four different cancers were investigated by immunohistochemistry (IHC) analysis. Following NCBI Gene Expression Omnibus (GEO) database search, microarray platform validation, differential expressions of REGγ in corresponding cancers were statistically analyzed. Genes highly correlated with REGγ were defined based on Pearson's correlation coefficient. Functional links were estimated by Ingenuity Core analysis. Finally, validation was performed by RT-PCR analysis in established cancer cell lines and IHC in human colon cancer tissues RESULTS: Here, we demonstrate overexpression of REGγ in four different cancer types by micro-tissue array analysis. Using meta-analysis of publicly available microarray databases and biological studies, we verified elevated REGγ gene expression in the four types of cancers and identified genes significantly correlated with REGγ expression, including genes in p53, Myc pathways, and multiple other cancer-related pathways. The predicted correlations were largely consistent with quantitative RT-PCR analysis. CONCLUSIONS: This study provides us novel insights in REGγ gene expression profiles and its link to multiple cancer-related pathways in cancers. Our results indicate potentially important pathogenic roles of REGγ in multiple cancer types and implicate REGγ as a putative cancer marker. |
format | Online Article Text |
id | pubmed-3350384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33503842012-05-12 REGγ is associated with multiple oncogenic pathways in human cancers He, Jing Cui, Long Zeng, Yu Wang, Guangqiang Zhou, Ping Yang, Yuanyuan Ji, Lei Zhao, Yanyan Chen, Jiwu Wang, Zhuo Shi, Tieliu Zhang, Pei Chen, Rui Li, Xiaotao BMC Cancer Research Article BACKGROUND: Recent studies suggest a role of the proteasome activator, REGγ, in cancer progression. Since there are limited numbers of known REGγ targets, it is not known which cancers and pathways are associated with REGγ. METHODS: REGγ protein expressions in four different cancers were investigated by immunohistochemistry (IHC) analysis. Following NCBI Gene Expression Omnibus (GEO) database search, microarray platform validation, differential expressions of REGγ in corresponding cancers were statistically analyzed. Genes highly correlated with REGγ were defined based on Pearson's correlation coefficient. Functional links were estimated by Ingenuity Core analysis. Finally, validation was performed by RT-PCR analysis in established cancer cell lines and IHC in human colon cancer tissues RESULTS: Here, we demonstrate overexpression of REGγ in four different cancer types by micro-tissue array analysis. Using meta-analysis of publicly available microarray databases and biological studies, we verified elevated REGγ gene expression in the four types of cancers and identified genes significantly correlated with REGγ expression, including genes in p53, Myc pathways, and multiple other cancer-related pathways. The predicted correlations were largely consistent with quantitative RT-PCR analysis. CONCLUSIONS: This study provides us novel insights in REGγ gene expression profiles and its link to multiple cancer-related pathways in cancers. Our results indicate potentially important pathogenic roles of REGγ in multiple cancer types and implicate REGγ as a putative cancer marker. BioMed Central 2012-02-23 /pmc/articles/PMC3350384/ /pubmed/22361172 http://dx.doi.org/10.1186/1471-2407-12-75 Text en Copyright ©2012 He et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article He, Jing Cui, Long Zeng, Yu Wang, Guangqiang Zhou, Ping Yang, Yuanyuan Ji, Lei Zhao, Yanyan Chen, Jiwu Wang, Zhuo Shi, Tieliu Zhang, Pei Chen, Rui Li, Xiaotao REGγ is associated with multiple oncogenic pathways in human cancers |
title | REGγ is associated with multiple oncogenic pathways in human cancers |
title_full | REGγ is associated with multiple oncogenic pathways in human cancers |
title_fullStr | REGγ is associated with multiple oncogenic pathways in human cancers |
title_full_unstemmed | REGγ is associated with multiple oncogenic pathways in human cancers |
title_short | REGγ is associated with multiple oncogenic pathways in human cancers |
title_sort | regγ is associated with multiple oncogenic pathways in human cancers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3350384/ https://www.ncbi.nlm.nih.gov/pubmed/22361172 http://dx.doi.org/10.1186/1471-2407-12-75 |
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