Prostate cancer risk biomarkers from large cohort and prospective metabolomics studies: A systematic review

IF 5 2区 医学 Q2 Medicine
Yamilé López-Hernández , Cristina Andres-Lacueva , David S. Wishart , Claudia Torres-Calzada , Miriam Martínez-Huélamo , Enrique Almanza-Aguilera , Raul Zamora-Ros
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引用次数: 0

Abstract

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.
来自大型队列和前瞻性代谢组学研究的前列腺癌风险生物标志物:系统综述
前列腺癌(PCa)是导致男性癌症相关死亡的主要原因之一。这种疾病的异质性给诊断、预后和治疗带来了挑战。各种人群研究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,还没有一种代谢物生物标记物被批准或验证用于 PCa 的诊断、预后或风险评估。本综述认识到对病例报告或异质性研究的系统综述不能可靠地确定因果关系,因此分析了 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,并且可从公共资料库中获取。通过重点研究这些大型前瞻性研究,我们发现了 42 种代谢物,这些代谢物在不同作者和不同队列研究中得到了一致的重复。这些代谢物有可能成为 PCa 风险评估或预测性生物标记物。我们还讨论了这些代谢物与膳食来源或膳食模式的关系。在未来的研究和验证中,有必要进一步详细探讨这些代谢物与膳食、补充剂摄入、营养模式、污染物、生活方式因素以及可能易患 PCa 的原有合并症之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.40
自引率
2.00%
发文量
314
审稿时长
54 days
期刊介绍: Translational Oncology publishes the results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of oncology patients. Translational Oncology will publish laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer. Peer reviewed manuscript types include Original Reports, Reviews and Editorials.
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