Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Jun 18;9(1):7.
doi: 10.1186/1559-0275-9-7.

Overexpression of ribosome binding protein 1 (RRBP1) in breast cancer

Deepthi Telikicherla  1 , Arivusudar Marimuthu, Manoj Kumar Kashyap, Y L Ramachandra, Sujatha Mohan, Juan Carlos Roa, Jagadeesha Maharudraiah, Akhilesh Pandey
Affiliations

Overexpression of ribosome binding protein 1 (RRBP1) in breast cancer

Deepthi Telikicherla et al. Clin Proteomics. .

Abstract

The molecular events that lead to malignant transformation and subsequent metastasis of breast carcinoma include alterations in the cells at genome, transcriptome and proteome levels. In this study, we used publicly available gene expression databases to identify those candidate genes which are upregulated at the mRNA level in breast cancers but have not been systematically validated at the protein level. Based on an extensive literature search, we identified ribosome binding protein 1 (RRBP1) as a candidate that is upregulated at the mRNA level in five different studies but its protein expression had not been investigated. Immunohistochemical labeling of breast cancer tissue microarrays was carried out to determine the expression of RRBP1 in a large panel of breast cancers. We found that RRBP1 was overexpressed in 84% (177/219) of breast carcinoma cases tested. The subcellular localization of RRBP1 was mainly observed to be in the cytoplasm with intense staining in the perinuclear region. Our findings suggest that RRBP1 is an interesting molecule that can be further studied for its potential to serve as a breast cancer biomarker. This study also demonstrates how the integration of biological data from available resources in conjunction with systematic evaluation approaches can be successfully applied to clinical proteomics.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Expression pattern of RRBP1 protein in normal and breast cancer tissues. The images shown here are of the tissue sections from TMAs stained with anti-RRBP1. The panel of four sections on the top represents normal breast tissue sections showing weak expression of RRBP1 protein. The lower panel represents four tumor sections that show significant overexpression of the protein. All the images were taken at 200X magnification.
Figure 2
Figure 2
A snapshot of RRBP1 annotation in human Proteinpedia. Shown here is a screenshot of the HPRD molecule page for RRBP1 protein depicting the gene information, architecture, post-translational modifications, cellular localization and tissue expression of the molecule. The figure also shows the immunohistochemical data from this study as displayed in HUPA in the inset.
See this image and copyright information in PMC

References

    1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Canc J Clin. 2011;61(2):69–90. doi: 10.3322/caac.20107. - DOI - PubMed
    1. van de Vijver MJ, He YD, van't Veer LJ, Dai H, Hart AA, Voskuil DW, Schreiber GJ, Peterse JL, Roberts C, Marton MJ. et al.A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med. 2002;347(25):1999–2009. doi: 10.1056/NEJMoa021967. - DOI - PubMed
    1. van 't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van der Kooy K, Marton MJ, Witteveen AT. et al.Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415(6871):530–536. doi: 10.1038/415530a. - DOI - PubMed
    1. Hedenfalk I, Duggan D, Chen Y, Radmacher M, Bittner M, Simon R, Meltzer P, Gusterson B, Esteller M, Kallioniemi OP. et al.Gene-expression profiles in hereditary breast cancer. N Engl J Med. 2001;344(8):539–548. doi: 10.1056/NEJM200102223440801. - DOI - PubMed
    1. Murphy N, Millar E, Lee CS. Gene expression profiling in breast cancer: towards individualising patient management. Pathology. 2005;37(4):271–277. doi: 10.1080/00313020500169586. - DOI - PubMed