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 × 10. 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.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1166/jbn.2019.2780 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Pregnancy Complicated by Rapidly Progressing Vulvar Melanoma: A Case Study.
Am J Case Rep
January 2025
Department of Anatomical Pathology, Jenderal Soedirman University, Purwokerto, Central Java, Indonesia.
BACKGROUND Vulvar melanoma during pregnancy is exceptionally rare. Hormonal and immunological changes in pregnancy have raised concerns about the potential for accelerated melanoma progression and poorer maternal outcomes. This case report describes an unusual presentation of vulvar melanoma in a pregnant patient, which rapidly progressed despite previous treatments, but resulted in a favorable fetal outcome.
View Article and Find Full Text PDFDeep learning-based lymph node metastasis status predicts prognosis from muscle-invasive bladder cancer histopathology.
World J Urol
January 2025
Department of Urology, Renmin Hospital of Wuhan University, 99 Zhang Zhi-dong Road, Wuhan, Hubei, 430060, P.R. China.
Purpose: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph node metastasis (LNM) status of muscle invasive bladder cancer (MIBC), while validating the prognostic value of the predicted aiN score in MIBC patients.
Methods: A total of 323 patients from The Cancer Genome Atlas (TCGA) were used as the training and internal validation set, with image features extracted using a visual encoder called UNI. We investigated the ability to predict LNM status while assessing the prognostic value of aiN score.
Copper-Catalyzed Domino Annulation of Isoselenocyanates: A Pathway to Structurally Diverse , Se-Bis-Heterocyclic, and Fused Heterocyclic Compounds.
J Org Chem
January 2025
College of Chemistry and Chemical Engineering, Jishou University, Jishou 416000, People's Republic of China.
A copper-catalyzed domino addition/cyclization reaction was developed to synthesize novel benzoselenazole-linked 1,2,3-triazole and tetracyclic fused 12-benzo[4,5]selenazole[2,3-]quinazolin-12-one derivatives from isoselenocyanates. This domino reaction efficiently constructed multiple new chemical bonds in a single step, forming either four (one C-Se and three C-) or three (one C-Se and two C-) bonds. The reaction offers several key advantages, including mild conditions, broad substrate compatibility, and straightforward and safe operation.
View Article and Find Full Text PDFDetection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning.
Cells
December 2024
Department of Mechanical Engineering, Tufts University, Medford, MA 02155, USA.
The development of noninvasive methods for bladder cancer identification remains a critical clinical need. Recent studies have shown that atomic force microscopy (AFM), combined with pattern recognition machine learning, can detect bladder cancer by analyzing cells extracted from urine. However, these promising findings were limited by a relatively small patient cohort, resulting in modest statistical significance.
View Article and Find Full Text PDFThe Assessment of TikTok as a Source of Quality Health Information on Human Papillomavirus: A Content Analysis.
Cureus
December 2024
Biostatistics and Epidemiology, Rutgers University, Piscataway, USA.
Background Various studies have evaluated the quality of health-related information on TikTok (ByteDance Ltd., Beijing, China), including topics such as COVID-19, diabetes, varicoceles, bladder cancer, colorectal cancer, and others. However, there is a paucity of data on studies that examined TikTok as a source of quality health information on human papillomavirus (HPV).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!