4.8 Article

Rapid visualizing and pathological grading of bladder tumor tissues by simple nanodiagnostics

期刊

BIOMATERIALS
卷 264, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2020.120434

关键词

Rapid visualizing; Pathological grading; Bladder tumor tissues; Nanodiagnostics

资金

  1. National Natural Science Foundation of China [21877049]
  2. Major Program for Tackling Key Problems of Industrial Technology in Guangzhou [201902020013]
  3. Dedicated Fund for Promoting High-Quality Marine Economic Development in Guangdong Province [GDOE-2019-A31, 2020-035]
  4. Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation [201905010003]
  5. Innovation Team Project in Guangdong Colleges and Universities [2019KCXTD008]
  6. China Postdoctoral Science Foundation [2018M633273]
  7. Opening Project of Hubei key Laboratory of Bioinorganic Chemistry and Pharmaceuticals [BCMM202001]
  8. Guangdong Provincial Key Laboratory Fund of Functional Supramolecular Coordination Materials and Applications
  9. K. C. Wong Education Foundation

向作者/读者索取更多资源

The study developed a stable cancer-targeted selenium nanosystem for specifically recognizing and staining tumor cells without the need for antibodies, enabling differentiation of different pathological grades.
Developing a tissue diagnosis technology to avoid the complicated processes and the usage of expensive reagents while achieving rapid pathological grading diagnosis to provide a better strategy for clinical treatment is an important strategy of tumor diagnose. Herein, we selected the integrin alpha v beta 3 as target based on the analysis of clinical data, and then designed a stable and cancer-targeted selenium nanosystem (RGD@SeNPs) by using RGD polypeptide as the targeting modifier. In vitro experiments showed that RGD@SeNPs could specifically recognized tumor cells, especially in co-culture cells model. The RGD@SeNPs can be used for clinical samples staining without the use of primary and secondary antibody. Fluorescence difference of the tissue specimens staining with RGD@SeNPs could be used to distinguish normal tissues and tumor tissues or estimate different pathological grades of cancer at tissue level. 132 clinical tumor specimens with three types of tumor and 76 non-tumor specimens were examined which verified that the nanoparticles could specific and sensitive distinguish tumor tissue from normal tissue with a specificity of 92% and sensitivity of 96%. These results demonstrate the potential of cancer-targeted RGD@SeNPs as translational nanodiagnostics for rapid visualizing and pathological grading of bladder tumor tissues in clinical specimens.

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