Lee Sujin, Ku Ja Yoon, Kang Byeong Jin, Kim Kyung Hwan, Ha Hong Koo, Kim Suhkmann
Department of Chemistry and Chemistry Institute for Functional Materials, Institute for Plastic Information and Energy Materials, Pusan National University, Busandaehak-ro 63, Geumjeong-gu, Busan 46241, Korea.
Department of Urology, Dongnam Institute of Radiological & Medical Sciences Cancer Center, Busan 46033, Korea.
Metabolites. 2021 Sep 2;11(9):591. doi: 10.3390/metabo11090591.
Prostate cancer (PCa), bladder cancer (BCa), and renal cell carcinoma (RCC) are the most prevalent cancer among urological cancers. However, there are no cancer-specific symptoms that can differentiate them as well as early clinical signs of urological malignancy. Furthermore, many metabolic studies have been conducted to discover their biomarkers, but the metabolic profiling study to discriminate between these cancers have not yet been described. Therefore, in this study, we aimed to investigate the urinary metabolic differences in male patients with PCa ( = 24), BCa ( = 29), and RCC ( = 12) to find the prominent combination of metabolites between cancers. Based on H NMR analysis, orthogonal partial least-squares discriminant analysis was applied to find distinct metabolites among cancers. Moreover, the ranked analysis of covariance by adjusting a potential confounding as age revealed that 4-hydroxybenzoate, -methylhydantoin, creatinine, glutamine, and acetate had significantly different metabolite levels among groups. The receiver operating characteristic analysis created by prominent five metabolites showed the great discriminatory accuracy with area under the curve (AUC) > 0.7 for BCa vs. RCC, PCa vs. BCa, and RCC vs. PCa. This preliminary study compares the metabolic profiles of BCa, PCa, and RCC, and reinforces the exploratory role of metabolomics in the investigation of human urine.
前列腺癌(PCa)、膀胱癌(BCa)和肾细胞癌(RCC)是泌尿系统癌症中最常见的癌症。然而,没有癌症特异性症状能够很好地区分它们,也没有泌尿系统恶性肿瘤的早期临床体征。此外,已经进行了许多代谢研究来发现它们的生物标志物,但尚未有关于区分这些癌症的代谢谱研究的报道。因此,在本研究中,我们旨在调查患有PCa(n = 24)、BCa(n = 29)和RCC(n = 12)的男性患者的尿液代谢差异,以找出癌症之间显著的代谢物组合。基于1H NMR分析,应用正交偏最小二乘判别分析来找出癌症之间不同的代谢物。此外,通过将年龄作为潜在混杂因素进行调整的协方差排序分析表明,4-羟基苯甲酸、N-甲基乙内酰脲、肌酐、谷氨酰胺和乙酸盐在各组之间的代谢物水平存在显著差异。由突出的五种代谢物进行的受试者工作特征分析显示,对于BCa与RCC、PCa与BCa以及RCC与PCa,曲线下面积(AUC)> 0.7,具有很高的判别准确性。这项初步研究比较了BCa、PCa和RCC的代谢谱,并强化了代谢组学在人体尿液研究中的探索作用。