Aberrant promoter methylation of multiple genes during pathogenesis of bladder cancer

Cancer Epidemiol Biomarkers Prev. 2008 Oct;17(10):2786-94. doi: 10.1158/1055-9965.EPI-08-0192.

Abstract

Purpose: The aims of our study were to elucidate the role of methylation of a large panel of genes during multistage pathogenesis of bladder cancer and to correlate our findings with patient age and other clinicopathologic features.

Experimental design: We studied the methylation status of 21 genes by quantitative methylation-specific PCR in an evaluation set of 25 tumor and 5 normal samples. Based on methylation frequency in tumors and normals in gene evaluation set, we selected 7 candidate genes and tested an independent set of 93 tumors and 26 normals. The presence or absence of methylation was evaluated for an association with cancer using cross-tabulations and chi(2) or Fisher's exact tests as appropriate. All statistical tests were two-sided.

Results: Most primary tumors (89 of 93, 96%) had methylation of one or more genes of independent set; 53 (57%) CCNA1, 29 (31%) MINT1, 36 (39%) CRBP, 53 (57%) CCND2, 66 (71%) PGP9.5, 60 (65%) CALCA, and 78 (84%) AIM1. Normal uroepithelium samples from 26 controls revealed no methylation of the CCNA1 and MINT1 genes, whereas methylation of CRBP, CCND2, PGP9.5, and CALCA was detected at low levels. All the 7 genes in independent set were tightly correlated with each other and 3 of these genes showed increased methylation frequencies in bladder cancer with increasing age. PGP9.5 and AIM1 methylation correlated with primary tumor invasion.

Conclusion: Our results indicate that the methylation profile of novel genes in bladder cancers correlates with clinicopathologic features of poor prognosis and is an age-related phenomenon.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Analysis of Variance
  • Biomarkers, Tumor / genetics*
  • Chi-Square Distribution
  • DNA Methylation*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Polymerase Chain Reaction / methods
  • Proportional Hazards Models
  • Urinary Bladder Neoplasms / genetics*

Substances

  • Biomarkers, Tumor