Glaser Zachary A, Gordetsky Jennifer B, Porter Kristin K, Varambally Sooryanarayana, Rais-Bahrami Soroush
Department of Urology, University of Alabama at Birmingham, Birmingham, AL, United States.
Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States.
Front Oncol. 2017 Oct 30;7:256. doi: 10.3389/fonc.2017.00256. eCollection 2017.
Active surveillance (AS) is a widely adopted strategy to monitor men with low-risk, localized prostate cancer (PCa). Current AS inclusion criteria may misclassify as many as one in four patients. The advent of multiparametric magnetic resonance imaging (mpMRI) and novel PCa biomarkers may offer improved risk stratification. We performed a review of recently published literature to characterize emerging evidence in support of these novel modalities.
An English literature search was conducted on PubMed for available original investigations on localized PCa, AS, imaging, and biomarkers published within the past 3 years. Our Boolean criteria included the following terms: PCa, AS, imaging, biomarker, genetic, genomic, prospective, retrospective, and comparative. The bibliographies and diagnostic modalities of the identified studies were used to expand our search.
Our review identified 222 original studies. Our expanded search yielded 244 studies. Among these, 70 met our inclusion criteria. Evidence suggests mpMRI offers improved detection of clinically significant PCa, and MRI-fusion technology enhances the sensitivity of surveillance biopsies. Multiple studies demonstrate the promise of commercially available screening assays for prediction of AS failure, and several novel biomarkers show promise in this setting.
In the era of AS for men with low-risk PCa, improved strategies for proper stratification are needed. mpMRI has dramatically enhanced the detection of clinically significant PCa. The advent of novel biomarkers for prediction of aggressive disease and AS failure has shown some initial promise, but further validation is warranted.
主动监测(AS)是一种广泛采用的策略,用于监测低风险局限性前列腺癌(PCa)患者。目前的AS纳入标准可能会将多达四分之一的患者误分类。多参数磁共振成像(mpMRI)和新型PCa生物标志物的出现可能会改善风险分层。我们对最近发表的文献进行了综述,以描述支持这些新方法的新证据。
在PubMed上进行英文文献检索,查找过去3年内发表的关于局限性PCa、AS、成像和生物标志物的可用原始研究。我们的布尔检索标准包括以下术语:PCa、AS、成像、生物标志物、基因、基因组、前瞻性、回顾性和比较性。已识别研究的参考文献和诊断方法用于扩大我们的检索范围。
我们的综述识别出222项原始研究。我们扩大检索后得到244项研究。其中,70项符合我们的纳入标准。有证据表明,mpMRI能更好地检测出具有临床意义的PCa,而MRI融合技术提高了监测活检的敏感性。多项研究证明了商业可用筛查检测在预测AS失败方面的前景,并且几种新型生物标志物在这种情况下也显示出前景。
在低风险PCa男性的AS时代,需要改进适当分层的策略。mpMRI显著提高了具有临床意义的PCa的检测率。用于预测侵袭性疾病和AS失败的新型生物标志物的出现已显示出一些初步前景,但仍需进一步验证。