Departments of Urology, University of Kentucky College of Medicine, Lexington, Kentucky, KY 40536, USA.
Int J Mol Sci. 2013 Sep 6;14(9):18421-36. doi: 10.3390/ijms140918421.
Urologic tumors continue to represent a huge fraction of cancer cases in the United States, with over 376,310 estimated new diagnoses in 2013. As with many types of tumors, urologic tumors vary greatly in their phenotype, ranging from minimally invasive to malignancies possessing great metastatic potential. The increasing need for more efficient and less invasive methods of cancer detection, as well as the ability to predict severity of the disease phenotype is readily evident--yet reliable methods remain elusive in a clinical setting today. Comprehensive panels of gene clusters are being developed toward the generation of molecular signatures in order to better diagnose urologic malignancies, and identify effective treatment strategies in the emerging era of personalized medicine. In this review, we discuss the current literature on the credibility and biomarker value of such molecular signatures in the context of clinical significance relating to the pathological aggressiveness of urologic tumors (prostate, bladder and renal cancer)--also exploiting their predictive potential in the response to treatment.
泌尿系统肿瘤在美国的癌症病例中仍占很大比例,2013 年估计有超过 376310 例新诊断病例。与许多类型的肿瘤一样,泌尿系统肿瘤在表型上差异很大,从微创到具有巨大转移潜力的恶性肿瘤不等。人们对更有效、侵入性更小的癌症检测方法的需求不断增加,以及预测疾病表型严重程度的能力也日益明显——但在临床环境中,可靠的方法仍然难以捉摸。目前正在开发综合基因簇面板,以生成分子特征,以便更好地诊断泌尿系统恶性肿瘤,并在个性化医学的新兴时代确定有效的治疗策略。在这篇综述中,我们讨论了当前关于这些分子特征在与泌尿系统肿瘤(前列腺癌、膀胱癌和肾癌)的病理侵袭性相关的临床意义方面的可信度和生物标志物价值的文献——还利用了它们在治疗反应中的预测潜力。