Fundacion Valle del Lili -Universidad Icesi, Cali, Colombia.
Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Int Braz J Urol. 2018 Mar-Apr;44(3):440-451. doi: 10.1590/S1677-5538.IBJU.2017.0320.
The incidence of small, lower risk well-differentiated prostate cancer is increasing and almost half of the patients with this diagnosis are candidates for initial conservative management in an attempt to avoid overtreatment and morbidity associated with surgery or radiation. A proportion of patients labeled as low risk, candidates for Active Surveillance (AS), harbor aggressive disease and would benefit from definitive treatment. The focus of this review is to identify clinicopathologic features that may help identify these less optimal AS candidates. A systematic Medline/PubMed Review was performed in January 2017 according to PRISMA guidelines; 83 articles were selected for full text review according to their relevance and after applying limits described. For patients meeting AS criteria including Gleason Score 6, several factors can assist in predicting those patients that are at higher risk for reclassification including higher PSA density, bilateral cancer, African American race, small prostate volume and low testosterone. Nomograms combining these features improve risk stratification. Clinical and pathologic features provide a significant amount of information for risk stratification (>70%) for patients considering active surveillance. Higher risk patient subgroups can benefit from further evaluation or consideration of treatment. Recommendations will continue to evolve as data from longer term AS cohorts matures.
发病率较低、风险较小的分化良好的前列腺癌正在增加,几乎一半的此类诊断患者是初始保守治疗的候选者,以试图避免过度治疗和与手术或放疗相关的发病率。一部分被标记为低风险、适合主动监测 (AS) 的患者存在侵袭性疾病,从确定性治疗中获益。本综述的重点是确定可能有助于识别这些不太理想的 AS 候选者的临床病理特征。根据 PRISMA 指南,于 2017 年 1 月进行了系统的 Medline/PubMed 综述;根据相关性和应用描述的限制,选择了 83 篇全文进行审查。对于符合 AS 标准(包括 Gleason 评分 6)的患者,包括 PSA 密度较高、双侧癌症、非裔美国人种族、前列腺体积较小和睾酮水平较低在内的几种因素有助于预测那些具有更高再分类风险的患者。结合这些特征的列线图可改善风险分层。对于考虑主动监测的患者,临床和病理特征提供了大量用于风险分层的信息 (>70%)。高风险患者亚组可从进一步评估或治疗考虑中获益。随着长期 AS 队列的数据成熟,建议将继续演变。