• DOI:10.1158/1078-0432.CCR-06-2467
• Corpus ID: 15477614

Molecular Detection of Localized Prostate Cancer Using Quantitative Methylation-Specific PCR on Urinary Cells Obtained Following Prostate Massage

@article{Rouprt2007MolecularDO,
  title={Molecular Detection of Localized Prostate Cancer Using Quantitative Methylation-Specific PCR on Urinary Cells Obtained Following Prostate Massage},
  author={Morgan Roupr{\^e}t and Vincent Hupertan and David R. Yates and James W.F. Catto and Ishtiaq ur Rehman and Mark Meuth and Sylvie Ricci and Roger Lacave and G{\'e}raldine Cancel-Tassin and Alexandre De la taille and François Rozet and Xavier Cathelineau and Guy Vallancien and Freddie C. Hamdy and Olivier Cussenot},
  journal={Clinical Cancer Research},
  year={2007},
  volume={13},
  pages={1720 - 1725}
}

• M. Rouprêt, V. Hupertan, +12 authors O. Cussenot
• Published 15 March 2007
• Medicine, Biology
• Clinical Cancer Research

Purpose: The diagnosis of localized prostate cancer is difficult due to a lack of cancer-specific biomarkers. Many patients require repeat prostate biopsies to diagnose the disease. We investigated whether aberrant promoter hypermethylation in prostatic fluid could reliably detect prostate cancer. Experimental Design: Urine samples were collected after prostate massage from 95 patients with localized prostate cancer undergoing radical prostatectomy (63 pT1, 31 pT2, and 1 pT3) and from 38 control patients. Ten genes (GSTP1, RASSF1a, ECDH1, APC, DAPK, MGMT, p14, p16, RARβ2, and TIMP3) were investigated using quantitative real-time methylation-specific PCR. Receiver operator curves were generated. Results: The frequency of gene methylation ranged from 6.3% (p14) to 83.2% (GSTP1) in prostate cancer patients. At least one gene was hypermethylated in 93% of cancer patients. The specificity of methylation was 0.74. Methylation was significantly more frequent (P < 0.05) in cancer than control patients for all genes except p14 and p16. According to receiver operator curve analysis, the four-gene combination of GSTP1 (0.86), RASSF1a (0.85), RARβ2 (0.80), and APC (0.74) best discriminated malignant from nonmalignant cases. The sensitivity and accuracy of this four-gene set were 86% and 89%, respectively. Conclusions: The presence of aberrant methylation in urinary cells obtained after prostate massage is significantly associated with prostate cancer. A panel of four genes could stratify patients into low and high risk of having prostate cancer and optimize the need for repeat prostatic biopsies.