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Updated: Aug 9, 2026

Assessment of Mitochondrial Functions and Cell Viability in Renal Cells Overexpressing Protein Kinase C Isozymes
Published on: January 7, 2013
Urinary matrix metalloproteinase activity is not significantly altered in patients with renal cell carcinoma
Glenn M Cannon1, Robert H Getzenberg
1Department of Urology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213-3232, USA. cannongm@upmc.edu
Objectives:
Matrix metalloproteinases (MMPs) are proteins that degrade the extracellular matrix and have been shown to be elevated in the urine of patients with cancer. One action of MMPs is the degradation of collagen IV that plays a role in tumor invasion and metastasis. This degradation can be measured by a fluorescent microplate activity assay that has been suggested to identify patients with renal cell carcinoma (RCC). Our aim was to confirm the utility of urinary MMP activity as a diagnostic test for RCC.
Methods:
Urine samples from 21 patients undergoing nephrectomy for renal masses, as well as from 2 patients undergoing retroperitoneal mass excision for presumed local recurrence, were collected. Urine samples from 47 healthy volunteers were also collected. After concentration, the urine samples were incubated with fluorescein-labeled collagen IV. The fluorescence activity in each sample was measured using a conventional fluorescent microplate reader to determine the degree of collagen IV degradation in each specimen.
Results:
Of the 21 patients undergoing nephrectomy, 15 had RCC, and both patients undergoing retroperitoneal mass excision had pathologically confirmed RCC recurrence. The mean number of fluorescence units emitted from the urine of patients with RCC was 48,924 units (range 0 to 275,879). The mean number of fluorescence units emitted from the urine of healthy patients was 29,834 units (range 0 to 400,086). This difference was not statistically significant (P = 0.34).
Conclusions:
Despite previous evidence, urinary MMP activity was not an adequate test to identify RCC. Most normal urine samples had significant MMP activity.
Insights
Urinary matrix metalloproteinase (MMP) activity, measured by collagen IV degradation, did not prove effective in diagnosing renal cell carcinoma (RCC). Most healthy individuals exhibited significant MMP activity, limiting its diagnostic utility for this cancer.
Area of Science:
- Biochemistry
- Oncology
- Urology
Background:
- Matrix metalloproteinases (MMPs) are enzymes involved in extracellular matrix degradation.
- Elevated MMPs in urine have been suggested as a potential biomarker for various cancers, including renal cell carcinoma (RCC).
- Collagen IV degradation by MMPs is a key process in tumor invasion and metastasis.
Purpose of the Study:
- To evaluate the diagnostic utility of urinary matrix metalloproteinase (MMP) activity for identifying renal cell carcinoma (RCC).
- To confirm if a fluorescent microplate activity assay measuring collagen IV degradation can serve as a diagnostic test for RCC.
Main Methods:
- Urine samples were collected from 21 patients with renal masses, 2 patients with suspected RCC recurrence, and 47 healthy volunteers.
- Urine samples were incubated with fluorescein-labeled collagen IV.
- Fluorescence activity was measured to quantify collagen IV degradation, indicating MMP activity.
Main Results:
- Fifteen of 21 patients undergoing nephrectomy had RCC; both patients with retroperitoneal mass excision had confirmed RCC recurrence.
- Mean fluorescence units in RCC patients were 48,924 (range 0–275,879) versus 29,834 (range 0–400,086) in healthy individuals.
- The difference in MMP activity between RCC patients and healthy volunteers was not statistically significant (P = 0.34).
Conclusions:
- Urinary MMP activity, as measured by collagen IV degradation, is not a reliable diagnostic test for identifying RCC.
- Significant MMP activity was observed in the urine of most healthy individuals, confounding its use as a specific cancer biomarker.
- Further research may be needed to explore other biomarkers or refine existing assays for RCC detection.
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