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Updated: Jun 17, 2026

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Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
Published on: November 26, 2015
DD3(PCA3) gene expression in cancer and prostatic hyperplasia.
E Floriano-Sánchez1, N Cárdenas-Rodríguez, M Castro-Marín
1Departamento de Bioquímica y Biología Molecular, Escuela Médico Militar, México, DF.
Clinical and Investigative Medicine. Medecine Clinique Et Experimentale
|December 17, 2009
Summary
The DD3(PCA3) gene is significantly upregulated in prostate cancer (PCa) tissue compared to benign prostatic hyperplasia (BPH). Measuring DD3(PCA3) gene expression via RT-PCR may aid in early PCa detection.
Area of Science:
- Molecular Biology
- Oncology
- Genetics
Background:
- The DD3(PCA3) gene is recognized for its potential in early cancer detection.
- It is notably upregulated in cancerous cells, particularly in prostate cancer (PCa).
- Its role in distinguishing malignant from benign prostatic conditions warrants investigation.
Purpose of the Study:
- To validate and analyze DD3(PCA3) gene expression in a Mexican population.
- To compare expression levels between intratumoral PCa tissue and benign prostatic hyperplasia (BPH) tissue.
- To assess the utility of real-time Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for this analysis.
Main Methods:
- Analysis of mRNA expression of DD3(PCA3) using RT-PCR.
- Samples from 40 PCa cases and 40 BPH cases were utilized.
- The GAPDH gene was validated as a stable housekeeping gene for normalization.
Main Results:
- DD3(PCA3) gene expression was significantly higher in PCa tissue (1731+/-280 fold) compared to BPH tissue (58.23+/-9.9 fold).
- Expression levels in PCa were approximately 29.74 times greater than in BPH (P < 0.0001).
- GAPDH demonstrated high stability as a reference gene (Pearson correlation of 0.953, P < 0.007).
Conclusions:
- DD3(PCA3) gene expression analysis by RT-PCR shows promise as a diagnostic tool.
- This method could facilitate the early detection of prostate cancer in clinical settings.
- The findings support DD3(PCA3) as a potential biomarker for PCa.
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