Department of Urology, School of Medicine, University of California, Davis, Sacramento, CA, USA.
Departments of Urology and Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Eur Urol. 2018 Apr;73(4):572-582. doi: 10.1016/j.eururo.2017.10.036. Epub 2017 Nov 10.
Although the widespread use of prostate-specific antigen (PSA) has led to an early detection of prostate cancer (PCa) and a reduction of metastatic disease at diagnosis, PSA remains one of the most controversial biomarkers due to its limited specificity. As part of emerging efforts to improve both detection and management decision making, a number of new genomic tools have recently been developed.
This review summarizes the ability of genomic biomarkers to recognize men at high risk of developing PCa, discriminate clinically insignificant and aggressive tumors, and facilitate the selection of therapies in patients with advanced disease.
A PubMed-based literature search was conducted up to May 2017. We selected the most recent and relevant original articles and clinical trials that have provided indispensable information to guide treatment decisions.
Genome-wide association studies have identified several genetic polymorphisms and inherited variants associated with PCa susceptibility. Moreover, the urine-based assays SelectMDx, Mi-Prostate Score, and ExoDx have provided new insights into the identification of patients who may benefit from prostate biopsy. In men with previous negative pathological findings, Prostate Cancer Antigen 3 and ConfirmMDx predicted the outcome of subsequent biopsy. Commercially available tools (Decipher, Oncotype DX, and Prolaris) improved PCa risk stratification, identifying men at the highest risk of adverse outcome. Furthermore, other biomarkers could assist in treatment selection in castration-resistant PCa. AR-V7 expression predicts resistance to abiraterone/enzalutamide, while poly(ADP-ribose) polymerase-1 inhibitor and platinum-based chemotherapy could be indicated in metastatic patients who are carriers of mutations in DNA mismatch repair genes.
Introduction of genomic biomarkers has dramatically improved the detection, prognosis, and risk evaluation of PCa. Despite the progress made in discovering suitable biomarker candidates, few have been used in a clinical setting. Large-scale and multi-institutional studies are required to validate the efficacy and cost utility of these new technologies.
Prostate cancer is a heterogeneous disease with a wide variability. Genomic biomarkers in combination with clinical and pathological variables are useful tools to reduce the number of unnecessary biopsies, stratify low-risk from high-risk tumors, and guide personalized treatment decisions.
尽管前列腺特异性抗原(PSA)的广泛应用导致了前列腺癌(PCa)的早期发现,并降低了诊断时的转移性疾病,但由于其特异性有限,PSA 仍然是最具争议的生物标志物之一。作为提高检测和管理决策制定的新兴努力的一部分,最近开发了许多新的基因组工具。
本综述总结了基因组生物标志物识别发生 PCa 风险较高的男性、区分临床意义不大和侵袭性肿瘤、并为晚期疾病患者选择治疗方法的能力。
基于 PubMed 的文献检索截止到 2017 年 5 月。我们选择了提供必不可少信息以指导治疗决策的最新和最相关的原始文章和临床试验。
全基因组关联研究已经确定了几种与 PCa 易感性相关的遗传多态性和遗传变异。此外,基于尿液的检测方法 SelectMDx、Mi-Prostate Score 和 ExoDx 为识别可能受益于前列腺活检的患者提供了新的见解。在以前病理检查结果阴性的男性中,前列腺癌抗原 3 和 ConfirmMDx 预测了随后活检的结果。商业上可用的工具(Decipher、Oncotype DX 和 Prolaris)改善了 PCa 风险分层,确定了具有不良结果最高风险的男性。此外,其他生物标志物可以辅助治疗选择在去势抵抗性 PCa 中。AR-V7 表达预测对 abiraterone/enzalutamide 的耐药性,而聚(ADP-核糖)聚合酶-1 抑制剂和铂类化疗可能适用于携带 DNA 错配修复基因突变的转移性患者。
基因组生物标志物的引入极大地提高了 PCa 的检测、预后和风险评估。尽管在发现合适的生物标志物候选物方面取得了进展,但很少有在临床环境中使用。需要进行大规模和多机构研究来验证这些新技术的疗效和成本效益。
前列腺癌是一种异质性疾病,具有很大的可变性。基因组生物标志物与临床和病理变量相结合是减少不必要活检的有用工具,可以对低风险和高风险肿瘤进行分层,并指导个体化治疗决策。