Oncogenetics Team, Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, UK.
Clinical Academic Cancer Genetics Unit, The Royal Marsden NHS Foundation Trust, Sutton, Surrey SM2 5PT, UK.
Nat Rev Urol. 2014 Jan;11(1):18-31. doi: 10.1038/nrurol.2013.266. Epub 2013 Dec 3.
Worldwide, familial and epidemiological studies have generated considerable evidence of an inherited component to prostate cancer. Indeed, rare highly penetrant genetic mutations have been implicated. Genome-wide association studies (GWAS) have also identified 76 susceptibility loci associated with prostate cancer risk, which occur commonly but are of low penetrance. However, these mutations interact multiplicatively, which can result in substantially increased risk. Currently, approximately 30% of the familial risk is due to such variants. Evaluating the functional aspects of these variants would contribute to our understanding of prostate cancer aetiology and would enable population risk stratification for screening. Furthermore, understanding the genetic risks of prostate cancer might inform predictions of treatment responses and toxicities, with the goal of personalized therapy. However, risk modelling and clinical translational research are needed before we can translate risk profiles generated from these variants into use in the clinical setting for targeted screening and treatment.
全球范围内,家族和流行病学研究已经提供了大量证据表明前列腺癌具有遗传成分。事实上,已经发现了罕见的高外显率遗传突变与之相关。全基因组关联研究(GWAS)也确定了与前列腺癌风险相关的 76 个易感性位点,这些易感性位点虽然常见但外显率低。然而,这些突变呈倍增性相互作用,这可能导致风险显著增加。目前,约 30%的家族风险归因于这些变体。评估这些变体的功能方面将有助于我们了解前列腺癌的病因,并能够对人群进行筛查风险分层。此外,了解前列腺癌的遗传风险可能有助于预测治疗反应和毒性,从而实现个体化治疗。然而,在我们能够将这些变体产生的风险概况转化为用于临床环境中的靶向筛查和治疗之前,还需要进行风险建模和临床转化研究。