Thapar Roopa, Titus Mark A
Department of Biochemistry and Cell Biology, Rice University, Houston, TX 77251-1892, USA.
Department of Genitourinary Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston TX 77030, USA.
Curr Metabolomics. 2014 Apr;2(1):53-69. doi: 10.2174/2213235X02666140301002510.
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.
癌症是一种代谢性疾病。癌细胞具有高度增殖性,在糖酵解、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等代谢途径中表现出显著变化。当在组织和尿液、血清等体液等生物样本中进行特征分析时,肽、核苷酸、糖酵解产物、TCA循环产物、脂肪酸和类固醇等代谢物可能是疾病的重要指标。自20世纪60年代以来,人们一直通过质谱(MS)和核磁共振(NMR)光谱等分析技术研究癌症代谢组。当前的研究重点是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。在本综述中,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显示出前景的生物标志物、所采用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疗中的未来应用。