Bruner D W, Baffoe-Bonnie A, Miller S, Diefenbach M, Tricoli J V, Daly M, Pinover W, Grumet S C, Stofey J, Ross E, Raysor S, Balshem A, Malick J, Engstrom P, Hanks G E, Mirchandani I
Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.
Oncology (Williston Park). 1999 Mar;13(3):325-34; discussion 337-9, 343-4 pas.
Prostate cancer is the most common form of cancer (except skin cancer) in men. Several factors have been associated with an increased risk for prostate cancer, including age, ethnicity, family history, lifestyle, and environmental exposures. Recognition of the importance of the interaction of these factors in prostate cancer has led to an interest in their evaluation as a model both for studying genetic susceptibility patterns and for studying and providing educational tools and preventive interventions. One such model has been developed at Fox Chase Cancer Center. Critical to the implementation of the model has been the establishment of the Prostate Cancer Risk Registry (PCRR) and Prostate Cancer Risk Assessment Program (PRAP). Together, they serve as a unique resource for investigating the interaction between environmental factors and genetic susceptibility patterns; exploring the early, premalignant biological markers of prostate cancer; and prospectively assessing the quality of life (QOL) of men at risk. In addition, PRAP facilitates the evaluation of models for prostate cancer risk counseling and screening in the community. This paper describes this model for early detection and risk reduction, along with preliminary data from its first two study aims. The program is particularly relevant in view of the wealth of genetic information emerging from the Human Genome Project.
前列腺癌是男性中最常见的癌症形式(皮肤癌除外)。有几个因素与前列腺癌风险增加相关,包括年龄、种族、家族史、生活方式和环境暴露。认识到这些因素在前列腺癌中相互作用的重要性,引发了人们对将其作为研究遗传易感性模式以及研究和提供教育工具与预防干预措施的模型进行评估的兴趣。福克斯蔡斯癌症中心开发了这样一个模型。该模型实施的关键在于建立前列腺癌风险登记处(PCRR)和前列腺癌风险评估项目(PRAP)。它们共同构成了一个独特的资源,用于研究环境因素与遗传易感性模式之间的相互作用;探索前列腺癌的早期癌前生物学标志物;并前瞻性地评估有风险男性的生活质量(QOL)。此外,PRAP有助于评估社区中前列腺癌风险咨询和筛查的模型。本文描述了这个早期检测和降低风险的模型,以及前两个研究目标的初步数据。鉴于人类基因组计划中涌现的大量遗传信息,该项目尤为重要。