Loeb Stacy, Bruinsma Sophie M, Nicholson Joseph, Briganti Alberto, Pickles Tom, Kakehi Yoshiyuki, Carlsson Sigrid V, Roobol Monique J
Department of Urology, New York University and the Manhattan Veterans Affairs Hospital, New York, NY, USA.
Department of Urology, Erasmus Medical Centre, Rotterdam, The Netherlands.
Eur Urol. 2015 Apr;67(4):619-26. doi: 10.1016/j.eururo.2014.10.010. Epub 2014 Oct 31.
Active surveillance (AS) is an important strategy to reduce prostate cancer overtreatment. However, the optimal criteria for eligibility and predictors of progression while on AS are debated.
To review primary data on markers, genetic factors, and risk stratification for patient selection and predictors of progression during AS.
Electronic searches were conducted in PubMed, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) from inception to April 2014 for original articles on biomarkers and risk stratification for AS.
Patient factors associated with AS outcomes in some studies include age, race, and family history. Multiple studies provide consistent evidence that a lower percentage of free prostate-specific antigen (PSA), a higher Prostate Health Index (PHI), a higher PSA density (PSAD), and greater biopsy core involvement at baseline predict a greater risk of progression. During follow-up, serial measurements of PHI and PSAD, as well as repeat biopsy results, predict later biopsy progression. While some studies have suggested a univariate relationship between urinary prostate cancer antigen 3 (PCA3) and transmembrane protease, serine 2-v-ets avian erythroblastosis virus E26 oncogene homolog gene fusion (TMPRSS2:ERG) with adverse biopsy features, these markers have not been consistently shown to independently predict AS outcomes. No conclusive data support the use of genetic tests in AS. Limitations of these studies include heterogeneous definitions of progression and limited follow-up.
There is a growing body of literature on patient characteristics, biopsy features, and biomarkers with potential utility in AS. More data are needed on practical applications such as combining these tests into multivariable clinical algorithms and long-term outcomes to further improve AS in the future.
Several PSA-based tests (free PSA, PHI, PSAD) and the extent of cancer on biopsy can help to stratify the risk of progression during active surveillance. Investigation of several other markers is under way.
主动监测(AS)是减少前列腺癌过度治疗的一项重要策略。然而,关于AS的最佳入选标准及进展预测因素仍存在争议。
回顾关于标志物、遗传因素以及风险分层的原始数据,用于AS期间患者的选择及进展预测。
从创刊至2014年4月,在PubMed、Embase和Cochrane对照试验中心注册库(CENTRAL)中进行电子检索,以获取关于AS生物标志物和风险分层的原始文章。
一些研究中与AS结局相关的患者因素包括年龄、种族和家族史。多项研究提供了一致的证据,即基线时游离前列腺特异性抗原(PSA)百分比降低、前列腺健康指数(PHI)升高、PSA密度(PSAD)升高以及活检核心组织受累范围更大预示着进展风险更高。在随访期间,PHI和PSAD的系列测量以及重复活检结果可预测后期活检进展。虽然一些研究表明尿前列腺癌抗原3(PCA3)和跨膜丝氨酸蛋白酶2 - v - ets禽成红细胞增多症病毒E26癌基因同源基因融合(TMPRSS2:ERG)与不良活检特征之间存在单变量关系,但这些标志物尚未被一致证明能独立预测AS结局。尚无确凿数据支持在AS中使用基因检测。这些研究的局限性包括进展定义的异质性和随访有限。
关于患者特征、活检特征和生物标志物在AS中的潜在应用的文献越来越多。需要更多关于实际应用的数据,如将这些检测方法纳入多变量临床算法以及长期结局,以在未来进一步改善AS。
几种基于PSA的检测(游离PSA、PHI、PSAD)以及活检时癌症的范围有助于在主动监测期间对进展风险进行分层。其他几种标志物的研究正在进行中。