Liu Wennuan
Program for Personalized Cancer Care, Research Institute, NorthShore University HealthSystem, Evanston, IL, USA.
Asian J Androl. 2016 Jul-Aug;18(4):533-42. doi: 10.4103/1008-682X.177120.
Although most prostate cancer (PCa) cases are not life-threatening, approximately 293 000 men worldwide die annually due to PCa. These lethal cases are thought to be caused by coordinated genomic alterations that accumulate over time. Recent genome-wide analyses of DNA from subjects with PCa have revealed most, if not all, genetic changes in both germline and PCa tumor genomes. In this article, I first review the major, somatically acquired genomic characteristics of various subtypes of PCa. I then recap key findings on the relationships between genomic alterations and clinical parameters, such as biochemical recurrence or clinical relapse, metastasis and cancer-specific mortality. Finally, I outline the need for, and challenges with, validation of recent findings in prospective studies for clinical utility. It is clearer now than ever before that the landscape of somatically acquired aberrations in PCa is highlighted by DNA copy number alterations (CNAs) and TMPRSS2-ERG fusion derived from complex rearrangements, numerous single nucleotide variations or mutations, tremendous heterogeneity, and continuously punctuated evolution. Genome-wide CNAs, PTEN loss, MYC gain in primary tumors, and TP53 loss/mutation and AR amplification/mutation in advanced metastatic PCa have consistently been associated with worse cancer prognosis. With this recently gained knowledge, it is now an opportune time to develop DNA-based tests that provide more accurate patient stratification for prediction of clinical outcome, which will ultimately lead to more personalized cancer care than is possible at present.
尽管大多数前列腺癌(PCa)病例并不危及生命,但全球每年约有29.3万名男性死于PCa。这些致命病例被认为是由随着时间积累的协同基因组改变引起的。最近对PCa患者的DNA进行的全基因组分析揭示了种系和PCa肿瘤基因组中大多数(如果不是全部)的基因变化。在本文中,我首先回顾PCa各种亚型主要的体细胞获得性基因组特征。然后概述基因组改变与临床参数(如生化复发或临床复发、转移和癌症特异性死亡率)之间关系的关键发现。最后,我概述了在前瞻性研究中验证近期发现以用于临床应用的必要性和挑战。现在比以往任何时候都更清楚的是,PCa体细胞获得性畸变的情况以DNA拷贝数改变(CNAs)和源自复杂重排的TMPRSS2-ERG融合、众多单核苷酸变异或突变、巨大的异质性以及持续的间断性进化为特征。原发性肿瘤中的全基因组CNAs、PTEN缺失、MYC扩增,以及晚期转移性PCa中的TP53缺失/突变和AR扩增/突变一直与较差的癌症预后相关。有了这些最新获得的知识,现在是开发基于DNA的检测方法的时机,这些方法可为预测临床结果提供更准确的患者分层,这最终将带来比目前更个性化的癌症治疗。