Gómez-Cebrián Nuria, Rojas-Benedicto Ayelén, Albors-Vaquer Arturo, López-Guerrero José Antonio, Pineda-Lucena Antonio, Puchades-Carrasco Leonor
Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, Valencia 46026, Spain.
Joint Research Unit in Clinical Metabolomics, Centro de Investigación Príncipe Felipe/Instituto de Investigación Sanitaria La Fe, Valencia 46012, Spain.
Metabolites. 2019 Mar 8;9(3):48. doi: 10.3390/metabo9030048.
Prostate cancer (PCa) is one of the most frequently diagnosed cancers and a leading cause of death among men worldwide. Despite extensive efforts in biomarker discovery during the last years, currently used clinical biomarkers are still lacking enough specificity and sensitivity for PCa early detection, patient prognosis, and monitoring. Therefore, more precise biomarkers are required to improve the clinical management of PCa patients. In this context, metabolomics has shown to be a promising and powerful tool to identify novel PCa biomarkers in biofluids. Thus, changes in polyamines, tricarboxylic acid (TCA) cycle, amino acids, and fatty acids metabolism have been reported in different studies analyzing PCa patients' biofluids. The review provides an up-to-date summary of the main metabolic alterations that have been described in biofluid-based studies of PCa patients, as well as a discussion regarding their potential to improve clinical PCa diagnosis and prognosis. Furthermore, a summary of the most significant findings reported in these studies and the connections and interactions between the different metabolic changes described has also been included, aiming to better describe the specific metabolic signature associated to PCa.
前列腺癌(PCa)是最常被诊断出的癌症之一,也是全球男性主要的死亡原因。尽管在过去几年中人们在生物标志物发现方面付出了巨大努力,但目前使用的临床生物标志物在前列腺癌早期检测、患者预后和监测方面仍缺乏足够的特异性和敏感性。因此,需要更精确的生物标志物来改善前列腺癌患者的临床管理。在这种背景下,代谢组学已被证明是一种在生物流体中识别新型前列腺癌生物标志物的有前途且强大的工具。因此,在分析前列腺癌患者生物流体的不同研究中,已报道了多胺、三羧酸(TCA)循环、氨基酸和脂肪酸代谢的变化。本综述提供了基于生物流体的前列腺癌患者研究中所描述的主要代谢改变的最新总结,以及关于它们改善临床前列腺癌诊断和预后潜力的讨论。此外,还总结了这些研究中报告的最重要发现以及所描述的不同代谢变化之间的联系和相互作用,旨在更好地描述与前列腺癌相关的特定代谢特征。