前列腺癌代谢谱及影像学研究进展。

Roopa Thapar, Mark A Titus
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引用次数: 29

摘要

癌症是一种代谢疾病。癌细胞具有高度的增殖能力,在糖酵解、呼吸、三羧酸(TCA)循环、氧化磷酸化、脂质代谢和氨基酸代谢等代谢途径中表现出显著的改变。代谢产物如多肽、核苷酸、糖酵解产物、三羧酸循环、脂肪酸和类固醇,在生物样品(如组织和体液,如尿液、血清等)中表征时,可以作为疾病的重要解读。自20世纪60年代以来,人们通过质谱(MS)和核磁共振(NMR)光谱等分析技术研究了癌症代谢组。目前的研究主要集中在鉴定和验证癌症代谢组中的生物标志物,这些标志物可以对高危患者进行分层,并区分良性和晚期转移形式的疾病。在这篇综述中,我们讨论了前列腺癌代谢组学的现状,在区分惰性和侵袭性疾病形式方面表现出希望的生物标志物,正在使用的分析技术的优势和局限性,以及代谢组学在前列腺癌诊断成像和个性化医学中的未来应用。
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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Recent Advances in Metabolic Profiling And Imaging of Prostate Cancer.

Cancer is a metabolic disease. Cancer cells, being highly proliferative, show significant alterations in metabolic pathways such as glycolysis, respiration, the tricarboxylic acid (TCA) cycle, oxidative phosphorylation, lipid metabolism, and amino acid metabolism. Metabolites like peptides, nucleotides, products of glycolysis, the TCA cycle, fatty acids, and steroids can be an important read out of disease when characterized in biological samples such as tissues and body fluids like urine, serum, etc. The cancer metabolome has been studied since the 1960s by analytical techniques such as mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. Current research is focused on the identification and validation of biomarkers in the cancer metabolome that can stratify high-risk patients and distinguish between benign and advanced metastatic forms of the disease. In this review, we discuss the current state of prostate cancer metabolomics, the biomarkers that show promise in distinguishing indolent from aggressive forms of the disease, the strengths and limitations of the analytical techniques being employed, and future applications of metabolomics in diagnostic imaging and personalized medicine of prostate cancer.

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