No podrás conectarte si excedes diez intentos fallidos.
La Agencia SINC ofrece servicios diferentes dependiendo de tu perfil.
Selecciona el tuyo:
Fuente: Cancer Epodemiology Biomarkers & Prevention 21 [3]: 437-444 Marzo 2012 DOI: 10.1158/1055-9965.EPI-11-1038
Primer autor: Sara Lindstroem
Centro: Universidad de Harvard, Escuela de salud Pública, Departamento de Epidemiología, Departamento de Bioestadística, Boston, EE UU
Título: Common Genetic Variants in Prostate Cancer Risk Prediction-Results from the NCI Breast and Prostate Cancer Cohort Consortium (BPC3)
Background: One of the goals of personalized medicine is to generate individual risk profiles that could identify individuals in the population that exhibit high risk. The discovery of more than two-dozen independent single-nucleotide polymorphism markers in prostate cancer has raised the possibility for such risk stratification. In this study, we evaluated the discriminative and predictive ability for prostate cancer risk models incorporating 25 common prostate cancer genetic markers, family history of prostate cancer, and age. Methods: We fit a series of risk models and estimated their performance in 7,509 prostate cancer cases and 7,652 controls within the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3). We also calculated absolute risks based on SEER incidence data. Results: The best risk model (C-statistic = 0.642) included individual genetic markers and family history of prostate cancer. We observed a decreasing trend in discriminative ability with advancing age (P = 0.009), with highest accuracy in men younger than 60 years (C-statistic = 0.679). The absolute ten-year risk for 50-year-old men with a family history ranged from 1.6% (10th percentile of genetic risk) to 6.7% (90th percentile of genetic risk). For men without family history, the risk ranged from 0.8% (10th percentile) to 3.4% (90th percentile). Conclusions: Our results indicate that incorporating genetic information and family history in prostate cancer risk models can be particularly useful for identifying younger men that might benefit from prostate-specific antigen screening.Impact: Although adding genetic risk markers improves model performance, the clinical utility of these genetic risk models is limited.
Autores : Lindstroem, S.; Schumacher, F.R.; Cox, D.; Travis, R.C.; Albanes, D.; Allen, N.E.; Andriole, G.; Berndt, S.I.; Boeing, H.; Bueno-de-Mesquita, H.B.; Crawford, E.D.; Diver, W.R.; Gaziano, J.M.; Giles, G.G.; Giovannucci, E.; Gonzalez, C.A.; Henderson, B.; Hunter, D.J.; Johansson, M.; Kolonel, L.N.; Ma, J.; Le Marchand, L.; Pala, V.; Stampfer, M.; Stram, D.O.; Thun, M.J.; Tjonneland, A.; Trichopoulos, D.; Virtamo, J.; Weinstein, S.J.; Willett, W.C.; Yeager, M.; Hayes, R.B.; Severi, G.; Haiman, C.A.; Chanock, S.J.; Peter, K.
Direcciones :
1. Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Dept Biostat, Boston, MA 02115 USA
2. Harvard Univ, Sch Publ Hlth, Program Mol & Genet Epidemiol, Boston, MA 02115 USA
3. Harvard Univ, Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA
4. Brigham & Womens Hosp, Div Aging, Dept Med, Boston, MA 02115 USA
5. Brigham & Womens Hosp, Channing Lab, Dept Med, Boston, MA 02115 USA
6. Harvard Univ, Sch Med, Boston, MA 02115 USA
7. Boston Vet Affairs Healthcare Syst, Massachusetts Vet Epidemiol & Res Informat Ctr MA, Boston, MA USA
8. Boston Vet Affairs Healthcare Syst, Geriatr Res Educ & Clin Ctr GRECC, Boston, MA USA
9. Univ So Calif, Keck Sch Med, Dept Prevent Med, Los Angeles, CA 90033 USA
10. INSERM, U1052, Ctr Leon Berard, Canc Res Ctr Lyon, F-75654 Paris 13, France
11. Int Agcy Res Canc, Lyon, France
12. Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, Dept Med, London SW7 2AZ, England
13. Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, Dept Epidemiol & Biostat, London SW7 2AZ, England
14. Univ Oxford, Nuffield Dept Clin Med, Canc Epidemiol Unit, Oxford, England
15. NCI, Div Canc Epidemiol & Genet, NIH, Bethesda, MD 20892 USA
16. Washington Univ, Sch Med, Div Urol Surg, St Louis, MO 63110 USA
17. Deutsch Inst Ernahrungsforsch, Dept Epidemiol, Potsdam, Germany
18. Natl Inst Publ Hlth & Environm RIVM, Bilthoven, Netherlands
19. Univ Med Ctr Utrecht UMCU, Dept Gastroenterol & Hepatol, Utrecht, Netherlands
20. Univ Colorado, Hlth Sci Ctr, Denver, CO USA
21. Amer Canc Soc, Epidemiol Res Program, Atlanta, GA 30329 USA
22. Univ Melbourne, Canc Epidemiol Ctr, Canc Council Victoria, Melbourne, Vic 3010, Australia
23. Univ Melbourne, Ctr Mol Genet Environm & Analyt Epidemiol, Melbourne, Vic 3010, Australia
24. Monash Univ, Dept Epidemiol & Prevent Med, Melbourne, Vic 3004, Australia
25. Catalan Inst Oncol IDIBELL RETICC RD06 0020, Unit Nutr Environm & Canc, Barcelona, Spain
26. Umea Univ, Dept Surg & Perioperat Sci, Umea, Sweden
27. Univ Hawaii, Program Epidemiol, Ctr Canc, Honolulu, HI 96822 USA
28. Ist Nazl Tumori, Fdn IRCCS, Nutr Epidemiol Unit, Dept Predict Med, I-20133 Milan, Italy
29. Danish Canc Soc, Inst Canc Epidemiol, Copenhagen, Denmark
30. Acad Athens, Bur Epidemiol Res, Athens, Greece
31. Natl Inst Hlth & Welf, Dept Chron Dis Prevent, Helsinki, Finland
32. NYU, Div Epidemiol, Langone Med Ctr, New York, NY USA
Si eres periodista y quieres el contacto con los investigadores, regístrate en SINC como periodista.