The use of real-time quantitative polymerase chain reaction to detect hypermethylation of the CpG islands in the promoter region flanking the GSTP1 gene to diagnose prostate carcinoma

Da Chang Chu*, Cheng Keng Chuang, Jin Bao Fu, Hsien Siang Huang, Ching Ping Tseng, Chien Feng Sun

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

45 Scopus citations

Abstract

Purpose: We developed a real-time, quantitative, methylation sensitive polymerase chain reaction (PCR) protocol to analyze hypermethylation of the CpG islands in the promoter region of the π class glutathione-S-transferase gene GSTP1 in prostate cancer tissue. Materials and Methods: A total of 21 prostate cancer and 72 benign prostate hyperplasia (BPH) tissue samples were analyzed. Genomic DNA was digested with restriction enzyme, followed by real-time quantitative PCR amplification. Cycle threshold values were used to determine whether cancer genome was present in these tissues. A cutoff cycle threshold value of 35 was arbitrarily assigned. Samples with a cycle threshold of 35 or less were considered positive for prostate cancer. Conventional nested PCR was also performed for comparison. Results: The mean cycle threshold values plus or minus standard deviation in prostate cancer and BPH cases were 30.12 ± 2.88 and 37.77 ± 2.72, respectively. All prostate cancer samples analyzed showed positive results, while 5 of the 72 BPH samples tested positive. Conventional nested PCR data indicated that 19 of 21 prostate cancer cases were positive for the methylation change, while 71 of 72 BPH cases tested negative. The test limitations of real-time PCR and the nested PCR protocols were determined to be 0.048 and 0.64 ng. DNA, respectively. Conclusions: We established a novel protocol for detecting the methylation change in the 5′ regulatory sequence flanking the GSTP1 gene. The sensitivity of this protocol was superior to that of conventional nested PCR. The data also suggest that this novel protocol may accurately discriminate prostate carcinoma from BPH.

Original languageEnglish
Pages (from-to)1854-1858
Number of pages5
JournalJournal of Urology
Volume167
Issue number4 I
DOIs
StatePublished - 2002

Keywords

  • CpG islands
  • Gene expression
  • Prostate
  • Prostatic neoplasms
  • Tumor markers, biological

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