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Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer

Abstract

The identification of tumor-suppressor genes in solid tumors by classical cancer genetics methods is difficult and slow. We combined nonsense-mediated RNA decay microarrays1 and array-based comparative genomic hybridization2,3 for the genome-wide identification of genes with biallelic inactivation involving nonsense mutations and loss of the wild-type allele. This approach enabled us to identify previously unknown mutations in the receptor tyrosine kinase gene EPHB2. The DU 145 prostate cancer cell line, originating from a brain metastasis, carries a truncating mutation of EPHB2 and a deletion of the remaining allele. Additional frameshift, splice site, missense and nonsense mutations are present in clinical prostate cancer samples. Transfection of DU 145 cells, which lack functional EphB2, with wild-type EPHB2 suppresses clonogenic growth. Taken together with studies indicating that EphB2 may have an essential role in cell migration and maintenance of normal tissue architecture, our findings suggest that mutational inactivation of EPHB2 may be important in the progression and metastasis of prostate cancer.

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Figure 1: Relative changes in transcript levels resulting from emetine-mediated NMD blockade.
Figure 2: Integration of microarray data from CGH and NMD blockade analysis for genome-wide prioritization of the candidate TSGs.
Figure 3: Localization of mutations in the EphB2 protein.
Figure 4: EphB2 expression suppresses the growth of DU 145 prostate cancer cells.

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References

  1. Noensie, E.N. & Dietz, H.C. A strategy for disease gene identification through nonsense-mediated mRNA decay inhibition. Nat. Biotechnol. 19, 434–439 (2001).

    Article  CAS  Google Scholar 

  2. Pollack, J.R. et al. Genome-wide analysis of DNA copy-number changes using cDNA microarrays. Nat. Genet. 23, 41–46 (1999).

    Article  CAS  Google Scholar 

  3. Hyman, E. et al. Impact of DNA amplification on gene expression patterns in breast cancer. Cancer Res. 62, 6240–6245 (2002).

    CAS  PubMed  Google Scholar 

  4. Knudson, A.G. Jr. Hereditary cancer, oncogenes, and antioncogenes. Cancer Res. 45, 1437–1443 (1985).

    CAS  PubMed  Google Scholar 

  5. Losson, R. & Lacroute, F. Interference of nonsense mutations with eukaryotic messenger RNA stability. Proc. Natl. Acad. Sci. USA 76, 5134–5137 (1979).

    Article  CAS  Google Scholar 

  6. Culbertson, M.R. RNA surveillance. Unforeseen consequences for gene expression, inherited genetic disorders and cancer. Trends Genet. 15, 74–80 (1999).

    Article  CAS  Google Scholar 

  7. Gibbs, M. et al. Evidence for a rare prostate cancer-susceptibility locus at chromosome 1p36. Am. J. Hum. Genet. 64, 776–787 (1999).

    Article  CAS  Google Scholar 

  8. Kullander, K. & Klein, R. Mechanisms and functions of Eph and ephrin signalling. Nat. Rev. Mol. Cell. Biol. 3, 475–486 (2002).

    Article  CAS  Google Scholar 

  9. Mellitzer, G., Xu, Q. & Wilkinson, D.G. Control of cell behaviour by signalling through Eph receptors and ephrins. Curr. Opin. Neurobiol. 10, 400–408 (2000).

    Article  CAS  Google Scholar 

  10. Wang, H.U., Chen, Z.F. & Anderson, D.J. Molecular distinction and angiogenic interaction between embryonic arteries and veins revealed by ephrin-B2 and its receptor Eph-B4. Cell 93, 741–753 (1998).

    Article  CAS  Google Scholar 

  11. Gale, N.W. et al. Ephrin-B2 selectively marks arterial vessels and neovascularization sites in the adult, with expression in both endothelial and smooth-muscle cells. Dev. Biol. 230, 151–160 (2001).

    Article  CAS  Google Scholar 

  12. Wilkinson, D.G. Multiple roles of EPH receptors and ephrins in neural development. Nat. Rev. Neurosci. 2, 155–164 (2001).

    Article  CAS  Google Scholar 

  13. Knoll, B. & Drescher, U. Ephrin-As as receptors in topographic projections. Trends Neurosci. 25, 145–149 (2002).

    Article  CAS  Google Scholar 

  14. Barrios, A. et al. Eph/Ephrin signaling regulates the mesenchymal-to-epithelial transition of the paraxial mesoderm during somite morphogenesis. Curr. Biol. 13, 1571–1582 (2003).

    Article  CAS  Google Scholar 

  15. Batlle, E. et al. β-Catenin and TCF mediate cell positioning in the intestinal epithelium by controlling the expression of EphB/ephrinB. Cell 111, 251–263 (2002).

    Article  CAS  Google Scholar 

  16. Elowe, S., Holland, S.J., Kulkarni, S. & Pawson, T. Downregulation of the Ras–mitogen-activated protein kinase pathway by the EphB2 receptor tyrosine kinase is required for ephrin-induced neurite retraction. Mol. Cell. Biol. 21, 7429–7441 (2001).

    Article  CAS  Google Scholar 

  17. DeRisi, J. et al. Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nat. Genet. 14, 457–460 (1996).

    Article  CAS  Google Scholar 

  18. Mousses, S. et al. Gene expression analysis by cDNA microarrays. in Functional Genomics (eds. Livesey, F. & Hunt, S.P.) 113–137 (Oxford University Press, Oxford, 2000).

    Google Scholar 

  19. Chen, Y., Dougherty, E. & Bittner, M. Ratio-based decisions and the quantitative analysis of cDNA microarray images. J. Biomed. Optics 2, 364–374 (1997).

    Article  CAS  Google Scholar 

  20. Chen, Y. et al. Ratio statistics of gene expression levels and applications to microarray data analysis. Bioinformatics 18, 1207–1215 (2002).

    Article  CAS  Google Scholar 

  21. Monni, O. et al. Comprehensive copy number and gene expression profiling of the 17q23 amplicon in human breast cancer. Proc. Natl. Acad. Sci. USA 98, 5711–5716 (2001).

    Article  CAS  Google Scholar 

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Acknowledgements

We thank P. Meltzer, G. Batist, M. Kandouz, J. Khan, I. Andrulis, N. Gokgoz and E. Bruckheimer for discussions; J. Lueders, M. White and R. Autio for technical assistance; and the Sequencing Core in TGen for their services.

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Correspondence to Olli-P Kallioniemi or Spyro Mousses.

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The authors declare no competing financial interests.

Supplementary information

Supplementary Fig. 1

Chromosome specific CGH microarray plots for DU 145 cell line and PC3 cell line. (PDF 175 kb)

Supplementary Fig. 2

Sequence traces of the eight EPHB2 mutations. (PDF 5 kb)

Supplementary Table 1

Silent mutations in the EphB2 coding region. (PDF 2 kb)

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Huusko, P., Ponciano-Jackson, D., Wolf, M. et al. Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer. Nat Genet 36, 979–983 (2004). https://doi.org/10.1038/ng1408

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