Open Access Research article

REGγ is associated with multiple oncogenic pathways in human cancers

Jing He14, Long Cui2*, Yu Zeng1, Guangqiang Wang1, Ping Zhou1, Yuanyuan Yang1, Lei Ji1, Yanyan Zhao1, Jiwu Chen1, Zhuo Wang1, Tieliu Shi1, Pei Zhang3, Rui Chen4 and Xiaotao Li14*

Author Affiliations

1 Institute of Biomedical Sciences, East China Normal University, 500 Dongchuan Rd., Shanghai 200241, China

2 Department of Colorectal Surgery, Xin-hua Hospital, Shanghai Jiao-tong Univerisy, Shanghai, People's Republic of China

3 Department of Pathology, the Second Chengdu Municipal Hospital, Chengdu, China

4 Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA

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BMC Cancer 2012, 12:75  doi:10.1186/1471-2407-12-75

Published: 23 February 2012



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.


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


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.


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.