Cuzick J, Fisher G, Kattan M W, Berney D, Oliver T, Foster C S, Møller H, Reuter V, Fearn P, Eastham J, Scardino P
Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, St Bartholomew's Medical School, Queen Mary, University of London, Charterhouse Square, London EC1M 6BQ, UK.
Br J Cancer. 2006 Nov 6;95(9):1186-94. doi: 10.1038/sj.bjc.6603411.
Optimal management of clinically localised prostate cancer presents unique challenges, because of its highly variable and often indolent natural history. There is an urgent need to predict more accurately its natural history, in order to avoid unnecessary treatment. Medical records of men diagnosed with clinically localised prostate cancer, in the UK, between 1990 and 1996 were reviewed to identify those who were conservatively treated, under age 76 years at the time of pathological diagnosis and had a baseline prostate-specific antigen (PSA) measurement. Diagnostic biopsy specimens were centrally reviewed to assign primary and secondary Gleason grades. The primary end point was death from prostate cancer and multivariate models were constructed to determine its best predictors. A total of 2333 eligible patients were identified. The most important prognostic factors were Gleason score and baseline PSA level. These factors were largely independent and together, contributed substantially more predictive power than either one alone. Clinical stage and extent of disease determined, either from needle biopsy or transurethral resection of the prostate (TURP) chips, provided some additional prognostic information. In conclusion, a model using Gleason score and PSA level identified three subgroups comprising 17, 50, and 33% of the cohort with a 10-year prostate cancer specific mortality of <10, 10-30, and >30%, respectively. This classification is a substantial improvement on previous ones using only Gleason score, but better markers are needed to predict survival more accurately in the intermediate group of patients.
由于临床局限性前列腺癌具有高度可变且通常发展缓慢的自然病程,其最佳管理面临着独特的挑战。迫切需要更准确地预测其自然病程,以避免不必要的治疗。对1990年至1996年间在英国被诊断为临床局限性前列腺癌的男性患者的医疗记录进行了回顾,以确定那些接受保守治疗、病理诊断时年龄在76岁以下且进行了基线前列腺特异性抗原(PSA)测量的患者。对诊断性活检标本进行集中审查以确定主要和次要 Gleason 分级。主要终点是前列腺癌死亡,并构建多变量模型以确定其最佳预测因素。共确定了2333例符合条件的患者。最重要的预后因素是 Gleason 评分和基线 PSA 水平。这些因素在很大程度上是独立的,并且两者共同提供的预测能力比单独任何一个因素都要大得多。通过穿刺活检或经尿道前列腺切除术(TURP)碎片确定的临床分期和疾病范围提供了一些额外的预后信息。总之,一个使用 Gleason 评分和 PSA 水平的模型确定了三个亚组,分别占队列的17%、50%和33%,其10年前列腺癌特异性死亡率分别<10%、10 - 30%和>30%。这种分类比以前仅使用 Gleason 评分的分类有了实质性改进,但需要更好的标志物来更准确地预测中间组患者的生存情况。