Frantzi Maria, Latosinska Agnieszka, Merseburger Axel S, Mischak Harald
a Mosaiques diagnostics GmbH , Hannover , Germany.
b Biotechnology Division , Biomedical Research Foundation Academy of Athens , Athens , Greece.
Expert Rev Mol Diagn. 2015;15(12):1539-54. doi: 10.1586/14737159.2015.1104248. Epub 2015 Oct 22.
Prostate cancer (PCa) is fifth leading cause of cancer-associated deaths in men worldwide. Although the application of the serum prostate-specific antigen (PSA) screening test resulted in an increase in the PCa diagnosed cases, it demonstrated a negligible benefit regarding the associated mortality. Treatment options vary, with active surveillance to be preferable for patients with low-risk PCa and therapy of advanced castration-resistant PCa to rely on α-emitters and cytotoxic chemotherapy. Although recent developments have led to the approval of novel drugs for the treatment of castration-resistant PCa, the optimal sequence and timing of medication have not been yet determined. New screening modalities could improve the discriminatory accuracy between tumors with favorable clinical prognosis. Implementation of proteomic-based biomarkers appears to be a promising improvement, which could enable a more accurate diagnosis, guide treatment and improve patient outcome. Reviewed here are urinary proteome-based approaches for detection of PCa and patient management.
前列腺癌(PCa)是全球男性癌症相关死亡的第五大主要原因。尽管血清前列腺特异性抗原(PSA)筛查试验的应用使PCa诊断病例有所增加,但在相关死亡率方面其益处微乎其微。治疗方案各不相同,对于低风险PCa患者,主动监测更为可取,而晚期去势抵抗性PCa的治疗则依赖于α发射体和细胞毒性化疗。尽管最近的进展已导致用于治疗去势抵抗性PCa的新药获批,但药物的最佳顺序和时机尚未确定。新的筛查方式可以提高具有良好临床预后的肿瘤之间的鉴别准确性。基于蛋白质组学的生物标志物的应用似乎是一项有前景的改进,它可以实现更准确的诊断、指导治疗并改善患者预后。本文综述了基于尿液蛋白质组学的PCa检测方法及患者管理。