Detecting urine metabolites of bladder cancer by surface-enhanced Raman spectroscopy

被引：41

作者：

Hu, Dayu ^{[1
]}

Xu, Xiaosong ^{[1
]}

Zhao, Zeyin ^{[1
]}

Li, Changqi ^{[2
]}

Tian, Ye ^{[1
]}

Liu, Qiang ^{[2
]}

Shao, Bo ^{[2
]}

Chen, Shuo ^{[1
,3
]}

Zhao, Yue ^{[1
]}

Li, Ling ^{[2
]}

Bi, Huan ^{[2
]}

Chen, Ang ^{[2
]}

Fu, Cheng ^{[2
]}

Cui, Xiaoyu ^{[1
,3
]}

Zeng, Yu ^{[2
]}

机构：

[1] Northeastern Univ, Coll Med & Biol Informat Engn, 500 Wisdom St, Shenyang 110169, Peoples R China

[2] China Med Univ, Liaoning Canc Hosp & Inst, Dept Urol, Canc Hosp, 44 Xiaoheyan Rd, Shenyang 110042, Peoples R China

[3] Northeastern Univ, Key Lab Data Analyt & Optimizat Smart Ind, Wenhua Rd, Shenyang 110819, Peoples R China

来源：

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY | 2021年 / 247卷

基金：

中国国家自然科学基金;

关键词：

Bladder cancer; Metabolomics; Surface-enhanced Raman spectroscopy; Urine; Principal component analysis-linear discriminant analysis; CELL METABOLISM; RECENT PROGRESS; IDENTIFICATION;

D O I：

10.1016/j.saa.2020.119108

中图分类号：

O433 [光谱学];

学科分类号：

0703 ; 070302 ;

摘要：

Aim: 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. Conclusion: The present results suggest high potential for SERS to detect BCa from urine, especially when combining both urinary supernatant and sediment results. (C) 2020 Elsevier B.V. All rights reserved.

引用

页数：12

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