Literature DB >> 31196361

A Molecular Beacon Based Surface-Enhanced Raman Scattering Nanotag for Noninvasive Diagnosis of Bladder Cancer.

Pu Zhang, Yanning Zhang, Wenhao Liu, Daxiang Cui, Xiangwei Zhao, Jie Song, Ting Guo, Haibin Ni, Mengzhao Zhang, Haibao Zhang, Tao Yang, Guanqiu Chen, Lei Wang, Jinhai Fan.   

Abstract

Current techniques responsible for bladder cancer diagnosis and monitoring are insensitive and invasive. Here, we report a surface-enhanced Raman scattering nanotag for the sensitive diagnosis of bladder cancer using urine samples as a noninvasive approach. The sea-urchin-like Au nanoclusters used in this work exhibit excellent surface-enhanced Raman scattering ability with an enhancement factor of 3.44 × 107. Molecular beacons labeled with Cy3 are covalently anchored to the surface of Au nanoclusters, which serve as a specific recognition site for survivin mRNA. Further a polyethylene glycol coating provides stability and completes the final functionalization. This surface-enhanced Raman scattering nanotag has good efficiency (equilibrium time: 10 min) with high sensitivity (detection threshold: 19.4 nM), high specificity (capable of single-base mismatch recognition) and good stability against nucleases. All these features are also verified in the fluorescence modality. Furthermore, its function was highly maintained in clinical samples from 13 patients with bladder cancer, as evidenced by a sensitivity up to 91.7% and a specificity up to 100%. The nanotag demonstrates its superiority over cytology and has its great clinical value even for early bladder cancer diagnosis. Thus, the nanotag is promising for noninvasive and sensitive diagnosis of bladder cancer.

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Year:  2019        PMID: 31196361     DOI: 10.1166/jbn.2019.2780

Source DB:  PubMed          Journal:  J Biomed Nanotechnol        ISSN: 1550-7033            Impact factor:   4.099


  2 in total

1.  [Application of Raman-based technologies in the detection of urological tumors].

Authors:  Z Hao; S H Yue; L Q Zhou
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2022-08-18

2.  Detection of miR-155-5p and imaging lung cancer for early diagnosis: in vitro and in vivo study.

Authors:  Hai-Zhen Zhu; Chun-Ju Fang; Yi Guo; Qi Zhang; Li-Min Huang; Dong Qiu; Guang-Peng Chen; Xiu-Feng Pang; Jian-Jun Hu; Jian-Guo Sun; Zheng-Tang Chen
Journal:  J Cancer Res Clin Oncol       Date:  2020-05-23       Impact factor: 4.553

  2 in total

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