Related Experiment Video
Updated: Jun 1, 2026

06:23
A Murine Orthotopic Bladder Tumor Model and Tumor Detection System
Published on: January 12, 2017
Ag-nor protein area in transitional cell bladder-cancer as measured by image-analysis
International Journal of Oncology
|May 18, 2011
Summary
The size of individual silver-stained nucleolar organizer regions (Ag-NORs) does not predict bladder cancer outcomes. However, counting Ag-NORs can offer prognostic value, especially when they are clustered.
Area of Science:
- Uropathology
- Cancer Biology
- Biomarker Research
Background:
- Nucleolar organizer regions (NORs) are associated with cell proliferation.
- Silver staining (Ag-NOR) is a technique used to visualize NORs.
- The prognostic significance of Ag-NOR characteristics in transitional cell carcinoma (TCC) requires further investigation.
Purpose of the Study:
- To investigate the relationship between Ag-NOR area and structural features with clinical parameters and prognosis in transitional cell carcinoma.
- To determine if Ag-NOR area has prognostic value in bladder cancer progression and survival.
Main Methods:
- Silver staining technique was used to visualize Ag-NORs in 50 transitional cell carcinoma samples.
- Image analysis (IBAS 2) was employed to measure Ag-NOR dot area and structural features at x9500 magnification.
- Correlation analysis was performed between Ag-NOR features and clinical stage, WHO grade, DNA ploidy, and other relevant parameters.
Main Results:
- The mean Ag-NOR area ranged from 0.37-0.53 µm², with an overall mean of 0.47 µm².
- Ag-NOR area and structural features did not correlate with clinical stage, WHO grade, papillary status, DNA ploidy, S-phase fraction, or mitotic index.
- Ag-NOR area showed no prognostic value for tumor progression or patient survival.
Conclusions:
- The area of individual Ag-NOR dots is consistent in transitional cell bladder cancer.
- Ag-NOR enumeration, rather than Ag-NOR area, holds prognostic value.
- When Ag-NORs are densely packed, the Ag-NOR area may indirectly reflect the number of dots, thus potentially offering prognostic information.

