Cartlidge Caroline R, U M R Abellona, Alkhatib Alzhraa M A, Taylor-Robinson Simon D
Department of Surgery and Cancer, Liver Unit, Division of Digestive Health.
Department of Surgery and Cancer, Division of Computational and Systems Medicine, Faculty of Medicine, Imperial College London, London, UK.
Int J Gen Med. 2017 Nov 27;10:431-442. doi: 10.2147/IJGM.S150312. eCollection 2017.
Hepatocellular carcinoma (HCC) is the fifth most common malignancy, the third most common cause of cancer death, and the most common primary liver cancer. Overall, there is a need for more reliable biomarkers for HCC, as those currently available lack sensitivity and specificity. For example, the current gold-standard biomarker, serum alpha-fetoprotein, has a sensitivity of roughly only 70%. Cancer cells have different characteristic metabolic signatures in biofluids, compared to healthy cells; therefore, metabolite analysis in blood or urine should lead to the detection of suitable candidates for the detection of HCC. With the advent of metabonomics, this has increased the potential for new biomarker discovery. In this article, we look at approaches used to identify biomarkers of HCC using proton nuclear magnetic resonance (H-NMR) spectroscopy of urine samples. The various multivariate statistical analysis techniques used are explained, and the process of biomarker identification is discussed, with a view to simplifying the knowledge base for the average clinician.
肝细胞癌(HCC)是第五大常见恶性肿瘤,是癌症死亡的第三大常见原因,也是最常见的原发性肝癌。总体而言,需要更多用于HCC的可靠生物标志物,因为目前可用的生物标志物缺乏敏感性和特异性。例如,当前的金标准生物标志物血清甲胎蛋白的敏感性大约仅为70%。与健康细胞相比,癌细胞在生物流体中具有不同的特征性代谢特征;因此,血液或尿液中的代谢物分析应能检测出适合用于检测HCC的候选物。随着代谢组学的出现,这增加了发现新生物标志物的潜力。在本文中,我们探讨了使用尿液样本的质子核磁共振(H-NMR)光谱法来识别HCC生物标志物的方法。解释了所使用的各种多元统计分析技术,并讨论了生物标志物的识别过程,以期简化普通临床医生的知识库。