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基因组、病理和临床异质性作为前列腺癌个性化医疗的驱动因素。

Genomic, pathological, and clinical heterogeneity as drivers of personalized medicine in prostate cancer.

作者信息

Fraser Michael, Berlin Alejandro, Bristow Robert G, van der Kwast Theodorus

机构信息

Ontario Cancer Institute and Princess Margaret Cancer Center (University Health Network), Toronto, Ontario, Canada.

Ontario Cancer Institute and Princess Margaret Cancer Center (University Health Network), Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.

出版信息

Urol Oncol. 2015 Feb;33(2):85-94. doi: 10.1016/j.urolonc.2013.10.020. Epub 2014 Apr 24.

Abstract

Prostate cancer (CaP) is the most commonly diagnosed malignancy in men in the Western world. In North America, more than 275,000 men are diagnosed annually, whereby approximately 1 in 6 men will be diagnosed with CaP in their lifetime, and 1 in 34 men will die from castration-resistant metastatic disease. Unfortunately, current clinical prognostic factors explain only a proportion of the observed variation in clinical outcome from patient to patient. Furthermore, overtreatment of indolent and low-risk cancers leads to inappropriate morbidity following radiotherapy or surgery. As such, better predictors of individualized prognosis and treatment response are urgently needed to triage patients to customized and intensified CaP treatment. Recent developments in next-generation sequencing have made it possible to identify prognostic and predictive signatures based on genomic profiles. We discuss the genetic basis of CaP progression from localized to systemic disease (e.g., point mutations, copy-number alterations, and structural variants) in relation with unique features of CaP biology, including intraprostatic and interprostatic heterogeneity, multifocality and multiclonality, TMPRSS2:ERG, and other ETS-family gene fusions. Finally, we focus on the use of genomic markers as prognostic factors for local failure and for systemic disease, as novel risk-stratification tools, in triaging patients to existing treatment options, and ultimately the potential of genomics for the identification of molecular targets for therapy of CaP.

摘要

前列腺癌(CaP)是西方世界男性中最常被诊断出的恶性肿瘤。在北美,每年有超过27.5万名男性被诊断出患有前列腺癌,约每6名男性中就有1人在其一生中会被诊断出患有前列腺癌,每34名男性中就有1人会死于去势抵抗性转移性疾病。不幸的是,目前的临床预后因素仅能解释部分观察到的患者临床结局差异。此外,对惰性和低风险癌症的过度治疗会导致放疗或手术后出现不适当的发病率。因此,迫切需要更好的个体化预后和治疗反应预测指标,以便将患者分类至定制化和强化的前列腺癌治疗方案中。下一代测序技术的最新进展使得基于基因组图谱识别预后和预测特征成为可能。我们将探讨前列腺癌从局限性疾病发展为全身性疾病的遗传基础(例如点突变、拷贝数改变和结构变异),以及前列腺癌生物学的独特特征,包括前列腺内和前列腺间的异质性、多灶性和多克隆性、TMPRSS2:ERG以及其他ETS家族基因融合。最后,我们将重点关注基因组标记物作为局部失败和全身性疾病的预后因素、作为新型风险分层工具在将患者分类至现有治疗方案中的应用,以及基因组学在识别前列腺癌治疗分子靶点方面的潜力。

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