Hu Dayu, Xu Xiaosong, Zhao Zeyin, Li Changqi, Tian Ye, Liu Qiang, Shao Bo, Chen Shuo, Zhao Yue, Li Ling, Bi Huan, Chen Ang, Fu Cheng, Cui Xiaoyu, Zeng Yu
College of Medicine and Biological Information Engineering, Northeastern University, No. 500 Wisdom Street, Shenyang 110169, China.
Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Feb 15;247:119108. doi: 10.1016/j.saa.2020.119108. Epub 2020 Oct 24.
Metabolites present in urine reflect the current phenotype of the cancer state. Surface-enhanced Raman spectroscopy (SERS) can be used in urine supernatant or sediment to largely reflect the metabolic status of the body.
MATERIALS & METHODS: SERS was performed to detect bladder cancer (BCa) and predict tumour grade from urine supernatant, which contains various system metabolites, as well as from urine sediment, which contains exfoliated tumour cells.
RESULTS & DISCUSSION: Upon combining the urinary supernatant and sediment results, the total diagnostic sensitivity and specificity of SERS were 100% and 98.85%, respectively, for high-grade tumours and 97.53% and 90.80%, respectively, for low-grade tumours.
The present results suggest high potential for SERS to detect BCa from urine, especially when combining both urinary supernatant and sediment results.
尿液中的代谢物反映了癌症状态的当前表型。表面增强拉曼光谱（SERS）可用于尿液上清液或沉淀物中，以很大程度上反映身体的代谢状态。
采用SERS检测膀胱癌（BCa），并从含有各种系统代谢物的尿液上清液以及含有脱落肿瘤细胞的尿液沉淀物中预测肿瘤分级。
结合尿液上清液和沉淀物的结果，对于高级别肿瘤，SERS的总诊断敏感性和特异性分别为100%和98.85%，对于低级别肿瘤分别为97.53%和90.80%。
目前的结果表明SERS从尿液中检测BCa具有很高的潜力，尤其是结合尿液上清液和沉淀物的结果时。
