Skip to main content

The Functionality of Prostate Cancer Predisposition Risk Regions Is Revealed by AR Enhancers

  • Chapter
  • First Online:
Androgen-Responsive Genes in Prostate Cancer

Abstract

Prostate Cancer (PCa) genetic risk has recently been defined in numerous genome-wide association studies (GWAS), which revealed more than 50 disease-associated single nucleotide polymorphisms (SNPs), known as tagSNPs, each at a different locus. More than 80% of these tagSNPs are located in noncoding regions of the genome for which functionality remains unknown. We and others hypothesize that at least some of these SNPs affect noncoding genomic regulatory signatures such as enhancers. Many research laboratories including ours have profiled the genomic distribution of androgen receptor (AR) and the dynamic state of the PCa genome for active chromatin regions (H3K9,14ac), open chromatin regions (DNaseI), enhancers (H3K4me1/2), and active/engaged enhancers (H3K27ac). In order to identify candidate functional SNPs, which may confer risk associated with PCa, we recently developed an open-source (R/Bioconductor) package, called FunciSNP (Functional Integration of SNPs), which systematically integrates SNPs from the 1000 genomes project with these biologically active chromatin features. Here we report several potential AR enhancers, defined by genome-wide data and from chromatin biofeatures, which may be functionally involved in PCa risk.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

AR:

Androgen receptor

DHT:

Dihydrotestosterone

ARE:

Anrogen responsive element

ARORs:

Androgen receptor occupied regions

GWAS:

Genome-wide association studies

1000gp:

1000 genomes project

SNP:

Single nucleotide polymorphisms

FunciSNP:

Functional Identification of SNPs

LD:

Linkage disequilibrium

References

  1. Visscher PM et al (2012) Five years of GWAS discovery. Am J Hum Genet 90(1):7–24

    Article  PubMed  CAS  Google Scholar 

  2. Hindorff LA et al (2009) Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci USA 106(23):9362–9367

    Article  PubMed  CAS  Google Scholar 

  3. Coetzee SG et al (2012) FunciSNP: an R/bioconductor tool integrating functional non-coding data sets with genetic association studies to identify candidate regulatory SNPs. Nucl Acids Res 40:e139

    Article  PubMed  CAS  Google Scholar 

  4. Coetzee GA (2012) The usefulness of prostate cancer genome-wide association studies. J Urol 187(1):9–10

    Article  PubMed  Google Scholar 

  5. Coetzee GA et al (2010) A systematic approach to understand the functional consequences of non-protein coding risk regions. Cell Cycle 9(2):47–51

    Article  Google Scholar 

  6. Heinlein CA, Chang C (2004) Androgen receptor in prostate cancer. Endocr Rev 25(2):276–308

    Article  PubMed  CAS  Google Scholar 

  7. Bluemn EG, Nelson PS (2012) The androgen/androgen receptor axis in prostate cancer. Curr Opin Oncol 24(3):251–257

    Article  PubMed  CAS  Google Scholar 

  8. Denmeade SR, Isaacs JT (2002) A history of prostate cancer treatment. Nat Rev Cancer 2(5):389–396

    Article  PubMed  CAS  Google Scholar 

  9. Cai C, Balk SP (2011) Intratumoral androgen biosynthesis in prostate cancer pathogenesis and response to therapy. Endocr Relat Cancer 18(5):R175–R182

    Article  PubMed  CAS  Google Scholar 

  10. Lonergan PE, Tindall DJ (2011) Androgen receptor signaling in prostate cancer development and progression. J Carcinog 10:20

    Article  PubMed  CAS  Google Scholar 

  11. Montgomery RB et al (2008) Maintenance of intratumoral androgens in metastatic prostate cancer: a mechanism for castration-resistant tumor growth. Cancer Res 68(11):4447–4454

    Article  PubMed  CAS  Google Scholar 

  12. Mostaghel EA et al (2010) Variability in the androgen response of prostate epithelium to 5alpha-reductase inhibition: implications for prostate cancer chemoprevention. Cancer Res 70(4):1286–1295

    Article  PubMed  CAS  Google Scholar 

  13. (2011) Triple-acting drug boosts prostate cancer survival. Cancer Discov 1(7): OF1

    Google Scholar 

  14. Tran C et al (2009) Development of a second-generation antiandrogen for treatment of advanced prostate cancer. Science 324(5928):787–790

    Article  PubMed  CAS  Google Scholar 

  15. Mukherji D, Pezaro CJ, De-Bono JS (2012) MDV3100 for the treatment of prostate cancer. Expert Opin Investig Drugs 21(2):227–233

    Article  PubMed  CAS  Google Scholar 

  16. Grasso CS et al (2012) The mutational landscape of lethal castration-resistant prostate cancer. Nature 487:239–243

    Article  PubMed  CAS  Google Scholar 

  17. Chen Y et al (2012) Systematic evaluation of factors influencing ChIP-seq fidelity. Nat Methods 9:609–614

    Article  PubMed  CAS  Google Scholar 

  18. Qin B et al (2012) CistromeMap: a knowledgebase and web server for ChIP-Seq and DNase-Seq studies in mouse and human. Bioinformatics 28(10):1411–1412

    Article  PubMed  CAS  Google Scholar 

  19. Lupien M et al (2008) FoxA1 translates epigenetic signatures into enhancer-driven ­lineage-specific transcription. Cell 132(6):958–970

    Article  PubMed  CAS  Google Scholar 

  20. Andreu-Vieyra C et al (2011) Dynamic nucleosome-depleted regions at androgen receptor enhancers in the absence of ligand in prostate cancer cells. Mol Cell Biol 31(23):4648–4662

    Article  PubMed  CAS  Google Scholar 

  21. Wang Q et al (2009) Androgen receptor regulates a distinct transcription program in androgen-independent prostate cancer. Cell 138(2):245–256

    Article  PubMed  CAS  Google Scholar 

  22. Wang D et al (2011) Reprogramming transcription by distinct classes of enhancers functionally defined by eRNA. Nature 474(7351):390–394

    Article  PubMed  CAS  Google Scholar 

  23. Zhang C et al (2011) Definition of a FoxA1 Cistrome that is crucial for G1 to S-phase cell-cycle transit in castration-resistant prostate cancer. Cancer Res 71(21):6738–6748

    Article  PubMed  CAS  Google Scholar 

  24. Dryhurst D et al (2012) Histone H2A.Z prepares the prostate specific antigen (PSA) gene for androgen receptor-mediated transcription and is upregulated in a model of prostate cancer progression. Cancer Lett 315(1):38–47

    Article  PubMed  CAS  Google Scholar 

  25. Cai C et al (2011) Androgen receptor gene expression in prostate cancer is directly suppressed by the androgen receptor through recruitment of lysine-specific demethylase 1. Cancer Cell 20(4):457–471

    Article  PubMed  CAS  Google Scholar 

  26. Sahu B et al (2011) Dual role of FoxA1 in androgen receptor binding to chromatin, androgen signalling and prostate cancer. EMBO J 30(19):3962–3976

    Article  PubMed  CAS  Google Scholar 

  27. Taslim C et al (2012) Integrated analysis identifies a class of androgen-responsive genes regulated by short combinatorial long-range mechanism facilitated by CTCF. Nucleic Acids Res 40(11):4754–4764

    Article  PubMed  CAS  Google Scholar 

  28. Song L et al (2011) Open chromatin defined by DNaseI and FAIRE identifies regulatory elements that shape cell-type identity. Genome Res 21(10):1757–1767

    Article  PubMed  CAS  Google Scholar 

  29. He HH et al (2012) Differential DNase I hypersensitivity reveals factor-dependent chromatin dynamics. Genome Res 22(6):1015–1025

    Article  PubMed  CAS  Google Scholar 

  30. Myers RM et al (2011) A user’s guide to the encyclopedia of DNA elements (ENCODE). PLoS Biol 9(4):e1001046

    Article  CAS  Google Scholar 

  31. Rivera A et al (2005) Hypothetical LOC387715 is a second major susceptibility gene for age-related macular degeneration, contributing independently of complement factor H to disease risk. Hum Mol Genet 14(21):3227–3236

    Article  PubMed  CAS  Google Scholar 

  32. Hosking FJ, Dobbins SE, Houlston RS (2011) Genome-wide association studies for detecting cancer susceptibility. Br Med Bull 97:27–46

    Article  PubMed  Google Scholar 

  33. Park JH et al (2010) Estimation of effect size distribution from genome-wide association studies and implications for future discoveries. Nat Genet 42(7):570–575

    Article  PubMed  CAS  Google Scholar 

  34. Kruglyak L (2008) The road to genome-wide association studies. Nat Rev Genet 9(4):314–318

    Article  PubMed  CAS  Google Scholar 

  35. Hirschhorn JN, Daly MJ (2005) Genome-wide association studies for common diseases and complex traits. Nat Rev Genet 6(2):95–108

    Article  PubMed  CAS  Google Scholar 

  36. Hardy J, Singleton A (2009) Genomewide association studies and human disease. N Engl J Med 360(17):1759–1768

    Article  PubMed  CAS  Google Scholar 

  37. International HapMap Consortium (2003) The International HapMap Project. Nature 426(6968):789–796

    Article  Google Scholar 

  38. Pennisi E (2010) Genomics. 1000 Genomes Project gives new map of genetic diversity. Science 330(6004):574–575

    Article  PubMed  CAS  Google Scholar 

  39. Consortium TGP (2010) A map of human genome variation from population-scale sequencing. Nature 467(7319):1061–1073

    Article  Google Scholar 

  40. Freedman ML et al (2011) Principles for the post-GWAS functional characterization of cancer risk loci. Nat Genet 43(6):513–518

    Article  PubMed  CAS  Google Scholar 

  41. Rosenbloom KR et al (2011) ENCODE whole-genome data in the UCSC Genome Browser: update 2012. Nucl Acids Res 40:D912–D917

    Article  PubMed  Google Scholar 

  42. Jia L et al (2009) Functional enhancers at the gene-poor 8q24 cancer-linked locus. PLoS Genet 5(8):e1000597

    Article  PubMed  Google Scholar 

  43. Heinz S et al (2010) Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol Cell 38(4):576–589

    Article  PubMed  CAS  Google Scholar 

  44. Takata R et al (2010) Genome-wide association study identifies five new susceptibility loci for prostate cancer in the Japanese population. Nat Genet 42(9):751–754

    Article  PubMed  CAS  Google Scholar 

  45. Eeles RA et al (2009) Identification of seven new prostate cancer susceptibility loci through a genome-wide association study. Nat Genet 41(10):1116–1121

    Article  PubMed  CAS  Google Scholar 

  46. Kote-Jarai Z et al (2011) Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study. Nat Genet 43(8):785–791

    Article  PubMed  CAS  Google Scholar 

  47. Schumacher FR et al (2011) Genome-wide association study identifies new prostate cancer susceptibility loci. Hum Mol Genet 20(19):3867–3875

    Article  PubMed  CAS  Google Scholar 

  48. Murabito JM et al (2007) A genome-wide association study of breast and prostate cancer in the NHLBI’s Framingham Heart Study. BMC Med Genet 8(Suppl 1):S6

    Article  PubMed  Google Scholar 

  49. Gudmundsson J et al (2009) Genome-wide association and replication studies identify four variants associated with prostate cancer susceptibility. Nat Genet 41(10):1122–1126

    Article  PubMed  CAS  Google Scholar 

  50. Eeles RA et al (2008) Multiple newly identified loci associated with prostate cancer susceptibility. Nat Genet 40(3):316–321

    Article  PubMed  CAS  Google Scholar 

  51. Thomas G et al (2008) Multiple loci identified in a genome-wide association study of prostate cancer. Nat Genet 40(3):310–315

    Article  PubMed  CAS  Google Scholar 

  52. Zheng SL et al (2007) Association between two unlinked loci at 8q24 and prostate cancer risk among European Americans. J Natl Cancer Inst 99(20):1525–1533

    Article  PubMed  CAS  Google Scholar 

  53. Yeager M et al (2007) Genome-wide association study of prostate cancer identifies a second risk locus at 8q24. Nat Genet 39(5):645–649

    Article  PubMed  CAS  Google Scholar 

  54. Gudmundsson J et al (2007) Genome-wide association study identifies a second prostate cancer susceptibility variant at 8q24. Nat Genet 39(5):631–637

    Article  PubMed  CAS  Google Scholar 

  55. Duggan D et al (2007) Two genome-wide association studies of aggressive prostate cancer implicate putative prostate tumor suppressor gene DAB2IP. J Natl Cancer Inst 99(24):1836–1844

    Article  PubMed  CAS  Google Scholar 

  56. Liu H, Wang B, Han C (2011) Meta-analysis of genome-wide and replication association studies on prostate cancer. Prostate 71(2):209–224

    Article  PubMed  Google Scholar 

  57. Chung CC et al (2011) Fine mapping of a region of chromosome 11q13 reveals multiple independent loci associated with risk of prostate cancer. Hum Mol Genet 20(14):2869–2878

    Article  PubMed  CAS  Google Scholar 

  58. Zheng SL et al (2009) Two independent prostate cancer risk-associated Loci at 11q13. Cancer Epidemiol Biomarkers Prev 18(6):1815–1820

    Article  PubMed  CAS  Google Scholar 

  59. Bonilla C et al (2011) Prostate cancer susceptibility Loci identified on chromosome 12 in African Americans. PLoS One 6(2):e16044

    Article  PubMed  CAS  Google Scholar 

  60. Sun J et al (2008) Evidence for two independent prostate cancer risk-associated loci in the HNF1B gene at 17q12. Nat Genet 40(10):1153–1155

    Article  PubMed  CAS  Google Scholar 

  61. Haiman CA et al (2011) Genome-wide association study of prostate cancer in men of African ancestry identifies a susceptibility locus at 17q21. Nat Genet 43(6):570–573

    Article  PubMed  CAS  Google Scholar 

  62. Hsu FC et al (2009) A novel prostate cancer susceptibility locus at 19q13. Cancer Res 69(7):2720–2723

    Article  PubMed  CAS  Google Scholar 

  63. Sun J et al (2009) Sequence variants at 22q13 are associated with prostate cancer risk. Cancer Res 69(1):10–15

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The authors thank Charles Nicolet at the USC Epigenome Center for library construction and high throughput sequencing.

Funding

Original work reported here was funded by the National Institutes of Health (NIH) [CA109147, U19CA148537 and U19CA148107 to G.A.C.; 5T32CA009320-27 to H.N.] and David Mazzone Awards Program (G.A.C). Additionally, some of the scientific development and funding of this project were supported by the Genetic Associations and Mechanisms in Oncology (GAME-ON): a NCI Cancer Post-GWAS Initiative.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gerhard A. Coetzee .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Noushmehr, H., Coetzee, S.G., Rhie, S.K., Yan, C., Coetzee, G.A. (2013). The Functionality of Prostate Cancer Predisposition Risk Regions Is Revealed by AR Enhancers. In: Wang, Z. (eds) Androgen-Responsive Genes in Prostate Cancer. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6182-1_5

Download citation

Publish with us

Policies and ethics