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REGγ is associated with multiple oncogenic pathways in human cancers
1Institute of Biomedical Sciences, East China Normal University, Shanghai, China.
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.
Insights
Proteasome activator REGγ is overexpressed in four cancer types, linking it to cancer pathways like p53 and Myc. This suggests REGγ
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Recent research implicates the proteasome activator REGγ in cancer progression.
- Limited knowledge exists regarding REGγ targets and its association with specific cancers and molecular pathways.
Purpose of the Study:
- To investigate the expression profile of REGγ across various cancer types.
- To identify cancer-related pathways associated with REGγ.
- To explore REGγ as a potential biomarker for cancer.
Main Methods:
- Immunohistochemistry (IHC) was used to analyze REGγ protein expression in four cancer types.
- Meta-analysis of public microarray data (GEO database) and statistical analysis identified differential REGγ expression.
- Pearson's correlation coefficient and Ingenuity Core analysis identified genes correlated with REGγ and their functional pathways.
- RT-PCR and IHC validated findings in cell lines and human colon cancer tissues.
Main Results:
- Overexpression of REGγ was confirmed in four distinct cancer types via micro-tissue array analysis.
- Meta-analysis of public data corroborated elevated REGγ gene expression in these cancers.
- Genes significantly correlated with REGγ included those in the p53 and Myc pathways, among others.
- Quantitative RT-PCR results largely supported the predicted correlations.
Conclusions:
- This study reveals novel insights into REGγ gene expression patterns and its association with multiple cancer-related pathways.
- The findings suggest significant pathogenic roles for REGγ in various cancers.
- REGγ is implicated as a potential diagnostic or prognostic marker for cancer.
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