López-Hernández Yamilé, Andres-Lacueva Cristina, Wishart David S, Torres-Calzada Claudia, Martínez-Huélamo Miriam, Almanza-Aguilera Enrique, Zamora-Ros Raul
Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada, T6G 2E9.
Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Research Institute of Nutrition and Food Safety (INSA-UB), Faculty of Pharmacy and Food Science, University of Barcelona (UB), 08028, Barcelona, Spain; CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029, Madrid, Spain.
Transl Oncol. 2025 Jan;51:102196. doi: 10.1016/j.tranon.2024.102196. Epub 2024 Nov 23.
Prostate cancer (PCa) is one of the leading causes of cancer-related deaths among men. The heterogeneous nature of this disease presents challenges in its diagnosis, prognosis, and treatment. Numerous potential predictive, diagnostic, prognostic, and risk assessment biomarkers have been proposed through various population studies. However, to date, no metabolite biomarker has been approved or validated for the diagnosis, prognosis, or risk assessment of PCa. Recognizing that systematic reviews of case reports or heterogenous studies cannot reliably establish causality, this review analyzed 29 large prospective metabolomics studies that utilized harmonized criteria for patient selection, consistent methodologies for blood sample collection and storage, data analysis, and that are available in public repositories. By focusing on these large prospective studies, we identified 42 metabolites that were consistently replicated by different authors and across cohort studies. These metabolites have the potential to serve as PCa risk-assessment or predictive biomarkers. A discussion on their associations with dietary sources or dietary patterns is also provided. Further detailed exploration of the relationship with diet, supplement intake, nutrition patterns, contaminants, lifestyle factors, and pre-existing comorbidities that may predispose individuals to PCa is warranted for future research and validation.
前列腺癌(PCa)是男性癌症相关死亡的主要原因之一。这种疾病的异质性给其诊断、预后和治疗带来了挑战。通过各种人群研究,已经提出了许多潜在的预测、诊断、预后和风险评估生物标志物。然而,迄今为止,尚未有代谢物生物标志物被批准或验证用于PCa的诊断、预后或风险评估。认识到对病例报告或异质性研究的系统评价无法可靠地确定因果关系,本综述分析了29项大型前瞻性代谢组学研究,这些研究采用了统一的患者选择标准、一致的血样采集和储存方法、数据分析方法,并且可在公共数据库中获取。通过关注这些大型前瞻性研究,我们确定了42种代谢物,这些代谢物在不同作者和跨队列研究中得到了一致的重复。这些代谢物有可能作为PCa风险评估或预测生物标志物。本文还讨论了它们与饮食来源或饮食模式的关联。未来的研究和验证有必要进一步详细探讨与饮食、补充剂摄入、营养模式、污染物、生活方式因素以及可能使个体易患PCa的既往合并症之间的关系。