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A Murine Orthotopic Bladder Tumor Model and Tumor Detection System
Published on: January 12, 2017
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Rapid visualizing and pathological grading of bladder tumor tissues by simple nanodiagnostics
Hongxing Liu1, Chaoming Mei1, Xuanru Deng2
1Department of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China; Department of Chemistry, Jinan University, Guangzhou, 510632, China.
Biomaterials
|October 18, 2020
Summary
This study introduces RGD@SeNPs, a novel selenium nanoparticle system. These targeted nanoparticles enable rapid, antibody-free pathological grading of bladder tumors, improving diagnostic strategies.
Area of Science:
- Nanotechnology
- Oncology
- Biomedical Engineering
Background:
- Developing rapid and cost-effective tumor diagnostic technologies is crucial for effective clinical treatment strategies.
- Current pathological grading often involves complex procedures and expensive reagents.
- Integrin αvβ3 has been identified as a key target for cancer diagnosis.
Purpose of the Study:
- To design a stable, cancer-targeted selenium nanosystem (RGD@SeNPs) for rapid pathological grading.
- To evaluate the specificity and sensitivity of RGD@SeNPs in distinguishing tumor tissues from normal tissues.
- To assess the potential of RGD@SeNPs for antibody-free staining of clinical specimens.
Main Methods:
- Selection of integrin αvβ3 as the target molecule based on clinical data analysis.
- Design and synthesis of RGD@SeNPs using RGD polypeptide as a targeting modifier.
- In vitro experiments to assess RGD@SeNPs' recognition of tumor cells.
- Application of RGD@SeNPs for staining of 132 clinical tumor and 76 non-tumor specimens.
Main Results:
- RGD@SeNPs demonstrated specific recognition of tumor cells in vitro.
- The nanosystem enabled antibody-free staining of clinical samples.
- Fluorescence differences in stained tissues allowed distinction between normal and tumor tissues and estimation of pathological grades.
- Achieved 92% specificity and 96% sensitivity in distinguishing tumor from normal tissue in clinical specimens.
Conclusions:
- RGD@SeNPs show potential as a translational nanodiagnostic tool for visualizing and grading bladder tumors.
- The developed technology offers a simpler, faster, and potentially more cost-effective approach to pathological diagnosis.
- This nanodiagnostic system could significantly improve clinical treatment strategies for bladder cancer.
