Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

Systematic sequencing of renal carcinoma reveals inactivation of histone modifying genes

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common form of adult kidney cancer, characterized by the presence of inactivating mutations in the VHL gene in most cases1,2, and by infrequent somatic mutations in known cancer genes. To determine further the genetics of ccRCC, we have sequenced 101 cases through 3,544 protein-coding genes. Here we report the identification of inactivating mutations in two genes encoding enzymes involved in histone modification—SETD2, a histone H3 lysine 36 methyltransferase, and JARID1C (also known as KDM5C), a histone H3 lysine 4 demethylase—as well as mutations in the histone H3 lysine 27 demethylase, UTX (KMD6A), that we recently reported3. The results highlight the role of mutations in components of the chromatin modification machinery in human cancer. Furthermore, NF2 mutations were found in non-VHL mutated ccRCC, and several other probable cancer genes were identified. These results indicate that substantial genetic heterogeneity exists in a cancer type dominated by mutations in a single gene, and that systematic screens will be key to fully determining the somatic genetic architecture of cancer.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Gene expression analysis reveals two main classes of tumours: hypoxic and non-hypoxic.
Figure 2: Gene deregulation in SETD2 and JARID1C mutant samples.

Similar content being viewed by others

Accession codes

Primary accessions

ArrayExpress

Gene Expression Omnibus

Data deposits

The patient and cell line expression data were deposited with the Gene Expression Omnibus and Array Express under accession numbers GSE17895 and E-TABM-770, respectively.

References

  1. Eble, J., Epstein, J. & Sesterhann, I. Pathology and Genetics of Tumours of the Urinary System and Male Genital Organs (IARC Press, 2004)

    Google Scholar 

  2. Rini, B. I., Campbell, S. C. & Escudier, B. Renal cell carcinoma. Lancet 373, 1119–1132 (2009)

    Article  CAS  Google Scholar 

  3. van Haaften, G. et al. Somatic mutations of the histone H3K27 demethylase gene UTX in human cancer. Nature Genet. 41, 521–523 (2009)

    Article  CAS  Google Scholar 

  4. Banks, R. E. et al. Genetic and epigenetic analysis of von Hippel-Lindau (VHL) gene alterations and relationship with clinical variables in sporadic renal cancer. Cancer Res. 66, 2000–2011 (2006)

    Article  CAS  Google Scholar 

  5. Bommi-Reddy, A. et al. Kinase requirements in human cells: III. Altered kinase requirements in VHL-/- cancer cells detected in a pilot synthetic lethal screen. Proc. Natl Acad. Sci. USA 105, 16484–16489 (2008)

    Article  ADS  CAS  Google Scholar 

  6. Chi, J. T. et al. Gene expression programs in response to hypoxia: cell type specificity and prognostic significance in human cancers. PLoS Med. 3, e47 (2006)

    Article  Google Scholar 

  7. Jones, S. et al. Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science 321, 1801–1806 (2008)

    Article  ADS  CAS  Google Scholar 

  8. Parsons, D. W. et al. An integrated genomic analysis of human glioblastoma multiforme. Science 321, 1807–1812 (2008)

    Article  ADS  CAS  Google Scholar 

  9. Greenman, C. et al. Patterns of somatic mutation in human cancer genomes. Nature 446, 153–158 (2007)

    Article  ADS  CAS  Google Scholar 

  10. Sun, X.-J. et al. Identification and characterization of a novel human histone H3 lysine 36-specific methyltransferase. J. Biol. Chem. 280, 35261–35271 (2005)

    Article  CAS  Google Scholar 

  11. Iwase, S. et al. The X-linked mental retardation gene SMCX/JARID1C defines a family of histone H3 lysine 4 demethylases. Cell 128, 1077–1088 (2007)

    Article  CAS  Google Scholar 

  12. Issaeva, I. et al. Knockdown of ALR (MLL2) reveals ALR target genes and leads to alterations in cell adhesion and growth. Mol. Cell. Biol. 27, 1889–1903 (2007)

    Article  CAS  Google Scholar 

  13. Lee, M. G. et al. Demethylation of H3K27 regulates polycomb recruitment and H2A ubiquitination. Science 318, 447–450 (2007)

    Article  ADS  CAS  Google Scholar 

  14. Ferner, R. E. Neurofibromatosis 1 and neurofibromatosis 2: a twenty first century perspective. Lancet Neurol. 6, 340–351 (2007)

    Article  Google Scholar 

  15. Gordan, J. D., Bertout, J. A., Hu, C.-J., Diehl, J. A. & Simon, M. C. HIF-2α promotes hypoxic cell proliferation by enhancing c-Myc transcriptional activity. Cancer Cell 11, 335–347 (2007)

    Article  CAS  Google Scholar 

  16. Zhang, H. et al. HIF-1 inhibits mitochondrial biogenesis and cellular respiration in VHL-deficient renal cell carcinoma by repression of C-MYC activity. Cancer Cell 11, 407–420 (2007)

    Article  CAS  Google Scholar 

  17. Mandriota, S. J. et al. HIF activation identifies early lesions in VHL kidneys: Evidence for site-specific tumor suppressor function in the nephron. Cancer Cell 1, 459–468 (2002)

    Article  CAS  Google Scholar 

  18. McKinnon, P. J. & Caldecott, K. W. DNA strand break repair and human genetic disease. Annu. Rev. Genomics Hum. Genet. 8, 37–55 (2007)

    Article  CAS  Google Scholar 

  19. Kudlow, B. A., Kennedy, B. K. & Monnat, R. J. Werner and Hutchinson-Gilford progeria syndromes: mechanistic basis of human progeroid diseases. Nature Rev. Mol. Cell Biol. 8, 394–404 (2007)

    Article  CAS  Google Scholar 

  20. Demuth, I. & Digweed, M. The clinical manifestation of a defective response to DNA double-strand breaks as exemplified by Nijmegen breakage syndrome. Oncogene 26, 7792–7798 (2007)

    Article  CAS  Google Scholar 

  21. DeMasi, J., Huh, K.-W., Nakatani, Y., Münger, K. & Howley, P. M. Bovine papillomavirus E7 transformation function correlates with cellular p600 protein binding. Proc. Natl Acad. Sci. USA 102, 11486–11491 (2005)

    Article  ADS  CAS  Google Scholar 

  22. Huh, K.-W. et al. Association of the human papillomavirus type 16 E7 oncoprotein with the 600-kDa retinoblastoma protein-associated factor, p600. Proc. Natl Acad. Sci. USA 102, 11492–11497 (2005)

    Article  ADS  CAS  Google Scholar 

  23. Young, A. P. et al. VHL loss actuates a HIF-independent senescence programme mediated by Rb and p400. Nature Cell Biol. 10, 361–369 (2008)

    Article  ADS  CAS  Google Scholar 

  24. Dicks, E. et al. AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes. Bioinformatics 23, 1689–1691 (2007)

    Article  CAS  Google Scholar 

  25. Greenman, C., Wooster, R., Futreal, P. A., Stratton, M. R. & Easton, D. F. Statistical analysis of pathogenicity of somatic mutations in cancer. Genetics 173, 2187–2198 (2006)

    Article  CAS  Google Scholar 

  26. Fuhrman, S. A., Lasky, L. C. & Limas, C. Prognostic significance of morphologic parameters in renal cell carcinoma. Am. J. Surg. Pathol. 6, 655–663 (1982)

    Article  CAS  Google Scholar 

  27. AJCC Cancer Staging Manual 7th edn. (eds Edge, S. B. et al.) (Springer, 2009)

Download references

Acknowledgements

We would like to acknowledge the Wellcome Trust for support under grant reference 077012/Z/05/Z and the Hauenstein and Gerber Foundations for support for the microarray expression work. We also thank S. Martin, W. McLaughlin and S. Noyes for administrative support and F. Brasseur for providing the matched-pair ccRCC cell lines.

Author Contributions G.L.D. directed the analytical aspects of the study. K.F., K.J.D. and L.C. performed the expression analyses. C.G. contributed statistical analyses. G.B., H.D., S.E., C.H., J.T., A.B., Je.A., S.B., D.B., G.B., P.J.C., S.F., M.J., D.J., H.K., C.Y.K., C.L., M.-L.L., D.J.M., M.M., S.M., K.M., A.M., T.M., Le.M., La.M., S.O., E.P., A.R., Re.S., Ra.S., L.S., P.S., G.T., P.S.T. and K.T. performed the sequencing, copy number, data analyses and provided comments on the manuscript. Jo.A., R.J.K., S.K.K., D.P., B.W. and B.T.T. contributed samples, data and comments on the manuscript. M.R.S. and P.A.F. conceived and directed the study and wrote the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Bin Tean Teh, Michael R. Stratton or P. Andrew Futreal.

Supplementary information

Supplementary Information

This file contains Supplementary Methods, Supplementary Data, Supplementary References and Supplementary Figures 1-3 with Legends. (PDF 1823 kb)

Supplementary Dataset 1

Germline variants. (PDF 386 kb)

Supplementary Dataset 2

Gene expression. (PDF 1109 kb)

Supplementary Table 1

This table contains the initial and follow up samples that were screened. (XLS 58 kb)

Supplementary Table 2

This table shows the ID of the genes sequenced. (XLS 333 kb)

Supplementary Table 3

In this table the initial screen somatic mutations are identified. (XLS 227 kb)

Supplementary Table 4

This table shows the mutation prevalence. (PDF 43 kb)

Supplementary Table 5

This table shows the genes sequenced in follow-up samples. (XLS 33 kb)

Supplementary Table 6

In this table the follow-up screen somatic mutations are identified. (XLS 128 kb)

Supplementary Table 7

This table contains the statistical analyses data. (XLS 567 kb)

Supplementary Table 8

This table shows the details of mutations in highlighted genes. (XLS 134 kb)

Supplementary Table 9

In this table the JARID1C, SETD2 cancer cell line screen variants are identified. (XLS 34 kb)

Supplementary Table 10

This table contains SETD2 and JARID1C expression analyses. (XLS 128 kb)

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dalgliesh, G., Furge, K., Greenman, C. et al. Systematic sequencing of renal carcinoma reveals inactivation of histone modifying genes. Nature 463, 360–363 (2010). https://doi.org/10.1038/nature08672

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature08672

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer