Skip to main content
Log in

“It’s all very well reading the letters in the genome, but it’s a long way to being able to write”: Men’s interpretations of undergoing genetic profiling to determine future risk of prostate cancer

  • Original Article
  • Published:
Familial Cancer Aims and scope Submit manuscript

Abstract

A family history of prostate cancer (PC) is one of the main risk factors for the disease. A number of common single nucleotide polymorphisms (SNPs) that confer small but cumulatively substantial risks of PC have been identified, opening the possibility for the use of SNPs in PC risk stratification for targeted screening and prevention in the future. The objective of this study was to explore the psychosocial impact of receiving information about genetic risk of PC. The participants were men who had a family history of PC and were enrolled in a screening study providing research genetic profiling alongside screening for PC. A combination of questionnaires and in-depth interviews were used. Questionnaires were completed by men at two time points: both before and after joining the study and going through the genetic profiling process. The interviews were completed after all study process were complete and were analysed using a framework analysis. In total 95 men completed both questionnaires and 26 men were interviewed. A number of issues facing men at risk of PC were identified. The results fell into two main categories: personal relevance and societal relevance. The strength of men’s innate beliefs about their risk, shaped by genetic and environmental assumptions, outweigh the information provided by genetic testing. Men felt genetic profile results would have future use for accessing prostate screening, being aware of symptoms and in communicating with others. The findings reinforce the importance of providing contextual information alongside genetic profiling test results, and emphasises the importance of the counselling process in providing genetic risk information. This research raises some key issues to facilitate clinical practice and future research related to the use of genetic profiling to determine risk of PC and other diseases.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, Pukkala E, Skytthe A, Hemminki K (2000) Environmental and heritable factors in the causation of cancer: analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med 343(2):78–85

    Article  CAS  PubMed  Google Scholar 

  2. Human Genomics Strategy Group (2012) Building on our inheritance: genomic technology in healthcare. The Department of Health. www.dh.gov.uk. Accessed 4 Oct 2012

  3. Department of Health (2003) Our inheritance, our future: realising the potential of genetics in the NHS. Department of Health, London

    Google Scholar 

  4. Goh CL, Schumacher FR, Easton D, Muir K, Henderson B, Kote-Jarai Z, Eeles RA (2012) Genetic variants associated with predisposition to prostate cancer and potential clinical implications. J Int Med 271(4):353–365

    Article  CAS  Google Scholar 

  5. Witte JS (2008) Prostate cancer genomics: towards a new understanding. Nat Rev Genet 10(2):77–82

    Article  PubMed Central  PubMed  Google Scholar 

  6. Zheng SL, Sun J, Wiklund F, Smith S, Stattin P, Li G, Adami HO, Hsu FC, Zhu Y, Bälter K, Kader AK, Turner AR, Liu W, Bleecker ER, Meyers DA, Duggan D, Carpten JD, Chang BL, Isaacs WB, Xu J, Grönberg H (2007) Cumulative association of five genetic variants with prostate cancer. N Engl J Med 358:910–919

    Article  Google Scholar 

  7. Eeles R, Goh C, Castro E, Bancroft E, Guy M, Olama AA, Easton D, Kote-Jarai Z (2014) The genetic epidemiology of prostate cancer and its clinical implications. Nat Rev Urol 11(1):18–31

    Article  CAS  PubMed  Google Scholar 

  8. Antoniou AC, Easton DF (2006) Models of genetic susceptibility to breast cancer. Oncogene 25(43):5898–5905

    Article  CAS  PubMed  Google Scholar 

  9. Pharoah PD, Antoniou AC, Easton DF, Ponder BA (2008) Polygenes, risk prediction, and targeted prevention of breast cancer. N Eng J Med 358(26):2796–2803

    Article  CAS  Google Scholar 

  10. Lango H, Weedon MN (2008) What will whole genome searches for susceptibility genes for common complex disease offer to clinical practice? J Intern Med 263(1):16–27

    Article  CAS  PubMed  Google Scholar 

  11. Lerman C, Shields AE (2004) Genetic testing for cancer susceptibility: the promise and the pitfalls. Nat Rev Cancer 4(3):235–241

    Article  CAS  PubMed  Google Scholar 

  12. Eeles RA (2004) Future possibilities in the prevention of breast cancer: intervention strategies in BRCA1 and BRCA2 mutation carriers. Breast Cancer Res 2(4):283–290

    Article  Google Scholar 

  13. Hallowell N, Foster C, Eeles R, Ardern-Jones A, Murday V, Watson M (2003) Balancing autonomy and responsibility: the ethics of generating and disclosing genetic information. J Med Ethics 29(2):74–79

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  14. Lerman C, Croyle RT, Tercyak KP, Hamann H (2002) Genetic testing: psychological aspects and implications. J Consul Clin Psychol 70(3):784–797

    Article  Google Scholar 

  15. Meiser B, Butow P, Friedlander M, Barratt A, Schnieden V, Watson M, Brown J, Tucker K (2002) Psychological impact of genetic testing in women from high-risk breast cancer families. Eur J Cancer 38(15):2025–2031

    Article  CAS  PubMed  Google Scholar 

  16. Davison C, Macintyre S, Smith GD (1994) The potential social impact of predictive genetic testing for susceptibility to common chronic diseases: a review and proposed research agenda. Sociol Health Illn 16(3):340–371

    Article  PubMed  Google Scholar 

  17. Hunter DJ, Khoury MJ, Drazen JM (2008) Letting the genome out of the bottle—‘will we get our wish? N Engl J Med 358(2):105–107

    Article  CAS  PubMed  Google Scholar 

  18. Pearson H (2008) Genetic testing for everyone. Nature 453(7195):570–571

    Article  CAS  PubMed  Google Scholar 

  19. Javitt GH, Hudson K (2007) The right prescription for personalized genetic medicine. Personal Med 4(2):115–118

    Article  Google Scholar 

  20. Leighton JW, Valverde K, Bernhardt BA (2012) The general public’s understanding and perception of direct-to-consumer genetic test results. Public Health Genomic 15(1):11–21

    Article  CAS  Google Scholar 

  21. Burke Johnson R, Onwuegbuzie AJ, Turner LA (2007) Toward a definition of mixed methods research. J Mix Methods Res 1:112–133

    Article  Google Scholar 

  22. UKGPCS (2013) The UK Genetic Prostate Cancer Study: www.icr.ac.uk/ukgpcs. Accessed 14 Jan 2013

  23. Glaser BG, Strauss AL (1967) The discovery of grounded theory. Aldine, Chicago

    Google Scholar 

  24. Ritchie J, Lewis J (2003) Qualitative research practice. Sage, London

    Google Scholar 

  25. Ritchie J, Spencer L (1994) Qualitative data analysis for applied policy research. In: Bryman A, Burgess G (eds) Analyzing qualitative data. Routledge, London, pp 173–194

    Chapter  Google Scholar 

  26. Bryman A, Burgess RG (eds) (1996) Analysing qualitative data. Routledge, London

    Google Scholar 

  27. Henneman L, Timmermans DR, Bouwman CM, Cornel MC, Meijers-Heijboer H (2011) A low risk is still a risk: exploring women’s attitudes towards genetic testing for breast cancer susceptibility in order to target disease prevention. Public Health Genomic 14(4–5):238–247

    Article  CAS  Google Scholar 

  28. Graves KD, Peshkin BN, Luta G, Tuong W, Schwartz MD (2011) Interest in genetic testing for modest changes in breast cancer risk: implications for SNP testing. Public Health Genomics 14(3):178–189

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  29. Kelly K, Leventhal H, Andrykowski M, Toppmeyer D, Much J, Dermody J, Marvin M, Baran J, Schwalb M (2005) Using the common sense model to understand perceived cancer risk in individuals testing for BRCA1/2 mutations. Psycho-oncology 14:34–48

    Article  PubMed  Google Scholar 

  30. Slovic P, Finucane ML, Peters E, MacGregor DG (2004) Risk as analysis and risk as feelings: some thoughts about affect, reason, risk, and rationality. Risk Anal 24(2):311–322

    Article  PubMed  Google Scholar 

  31. Eeles R, Goh C, Castro E, Bancroft E, Guy M, Al Olama AA, Easton D, Kote-Jarai Z (2014) The genetic epidemiology of prostate cancer and its clinical implications. Nat Rev Urol 11(1):18–31

    Article  CAS  PubMed  Google Scholar 

  32. Andriole GL, Crawford ED, Grubb RL 3rd, Buys SS, Chia D, Church TR, Fouad MN, Isaacs C, Kvale PA, Reding DJ, Weissfeld JL, Yokochi LA, O’Brien B, Ragard LR, Clapp JD, Rathmell JM, Riley TL, Hsing AW, Izmirlian G, Pinsky PF, Kramer BS, Miller AB, Gohagan JK, Prorok PC (2012) Prostate cancer screening in the randomized Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial: mortality results after 13 years of follow-up. J Natl Cancer Inst 104:125–132

    Article  PubMed Central  PubMed  Google Scholar 

  33. Schroder FH, Hugosson J, Roobol MJ, Tammela TL, Ciatto S, Nelen V, Kwiatkowski M, Lujan M, Lilja H, Zappa M, Denis LJ, Recker F, Páez A, Määttänen L, Bangma CH, Aus G, Carlsson S, Villers A, Rebillard X, van der Kwast T, Kujala PM, Blijenberg BG, Stenman UH, Huber A, Taari K, Hakama M, Moss SM, de Koning HJ, Auvinen A, ERSPC Investigators (2012) Prostate-cancer mortality at 11 years of follow-up. N Engl J Med 366:981–990

    Article  PubMed  Google Scholar 

  34. Catalona WJ, Antenor JA, Roehl KA, Moul JW (2002) Screening for prostate cancer in high risk populations. J Urol 168:1980–1983

    Article  PubMed  Google Scholar 

  35. Mäkinen T, Tammela TL, Stenman UH, Määttänen L, Rannikko S, Aro J, Juusela H, Hakama M, Auvinen A (2002) Family history and prostate cancer screening with prostate-specific antigen. J Clin Oncol 20:2658–2663

    Article  PubMed  Google Scholar 

  36. Valeri A, Cormier L, Moineau MP, Cancel-Tassin G, Azzouzi R, Doucet L, Baschet F, Cussenot I, L’Her J, Berthon P, Mangin P, Cussenot O, Morin JF, Fournier G (2002) Targeted screening for prostate cancer in high risk families: early onset is a significant risk factor for disease in first degree relatives. J Urol 168:483–487

    Article  PubMed  Google Scholar 

  37. Stewart A, Brice P, Burton H, Pharoah P, Sanderson S, Zimmern R (2007) Genetics, health care and public policy. Cambridge University Press, Cambridge

    Google Scholar 

  38. Pashayan N, Pharoah P (2011) Translating genomics into improved population screening: hype or hope? Hum Genet 130(1):19–21

    Article  PubMed  Google Scholar 

  39. Pashayan N, Duffy SW, Chowdhury S, Dent T, Burton H, Neal DE, Easton DF, Eeles R, Pharoah P (2011) Polygenic susceptibility to prostate and breast cancer: implications for personalised screening. Br J Cancer 104(10):1656–1663

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  40. Shiloh S (2006) Illness representations, self-regulation, and genetic counseling: a theoretical review. J Genet Couns 15(5):325–337

    Article  PubMed  Google Scholar 

  41. Leventhal H, Benyamini Y, Brownlee S, Deifenbach M, Leventhal EA, Patrick-Miller L, Robitaille C (1997) Illness representation: theoretical foundations. In: Weinman J, Petrie K (eds) Perceptions of health and illness. Harwood, London, pp 155–188

    Google Scholar 

  42. Courtenay WH (2000) Constructions of masculinity and their influence on men’s well-being: a theory of gender and health. Soc Sci Med 50(10):1385–1401

    Article  CAS  PubMed  Google Scholar 

  43. UK House of Lords Science and Technology Committee (2009) Genomic Medicine. London, UK. http://www.publications.parliament.uk Accessed 01 May 2013

  44. US Secretary’s Advisory Committee on Genetics, Health and Society (2010) Draft Report on genetics education and training, Bethesda, MD. http://oba.od.nih.gov Accessed 02 May 2013

  45. Rogowski WH, Grosse SD, Khoury MJ (2009) Challenges of translating genetic tests into clinical and public health practice. Nat Rev Genet 10:489–495

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

We thank all of the participants and families who took part in this research and to Dr Theresa Wiseman for her comments on this manuscript. This work was completed as part of a PhD project (EKB) at the University of Nottingham. KC and ER supervised this research. EKB is funded by The Royal Marsden NHS Foundation Trust and Cancer Research UK, grant number C5047/A3354 (awarded to RE: PI of Profile study). We acknowledge support from the National Institute for Health Research (NIHR) to the Biomedical Research Centre at The Institute of Cancer Research and Royal Marsden Foundation NHS Trust. EC was supported by a European Society of Medical Oncology Clinical Research Fellowship. ER is funded by the NIHR as part of the Collaboration for Leadership in Applied Health Research and Care—East Midlands (NIHR CLAHRC EM) and NIHR MindTech Health Technology Cooperative. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elizabeth K. Bancroft.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bancroft, E.K., Castro, E., Ardern-Jones, A. et al. “It’s all very well reading the letters in the genome, but it’s a long way to being able to write”: Men’s interpretations of undergoing genetic profiling to determine future risk of prostate cancer. Familial Cancer 13, 625–635 (2014). https://doi.org/10.1007/s10689-014-9734-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10689-014-9734-3

Keywords

Navigation