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Recent Advances in Metabolic Profiling And Imaging of Prostate Cancer

机译:前列腺癌代谢谱分析的最新进展

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摘要

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.
机译:癌症是一种代谢性疾病。高度增殖的癌细胞在代谢途径如糖酵解,呼吸作用,三羧酸(TCA)循环,氧化磷酸化,脂质代谢和氨基酸代谢中显示出重大变化。当在生物样品(如组织和体液(如尿液,血清等))中进行表征时,诸如肽,核苷酸,糖酵解产物,TCA循环,脂肪酸和类固醇等代谢物可能是疾病的重要信息。自1960年代以来通过分析技术(例如质谱(MS)和核磁共振(NMR)光谱)进行了研究。当前的研究集中于癌症代谢组中生物标志物的鉴定和验证,这些生物标志物可以对高危患者进行分层,并区分疾病的良性和晚期转移形式。在这篇综述中,我们讨论了前列腺癌代谢组学的现状,在区分惰性疾病和侵袭性疾病方面表现出希望的生物标志物,所采用的分析技术的优势和局限性以及代谢组学在诊断成像和个性化研究中的未来应用前列腺癌的药物。

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