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PMID: 17404085 Published · ppublish English Journal Article

Promoter hypermethylation identifies progression risk in bladder cancer.

Yates DR, Rehman I, Abbod MF, Meuth M, Cross SS, Linkens DA, Hamdy FC, Catto JW

Abstract

New methods to accurately predict an individual tumor behavior are urgently required to improve the treatment of cancer. We previously found that promoter hypermethylation can be an accurate predictor of bladder cancer progression, but it is not cancer specific. Here, we investigate a panel of methylated loci in a prospectively collected cohort of bladder tumors to determine whether hypermethylation has a useful role in the management of patients with bladder cancer. Quantitative methylation-specific PCR was done at 17 gene promoters, suspected to be associated with tumor progression, in 96 malignant and 30 normal urothelial samples. Statistical analysis and artificial intelligence techniques were used to interrogate the results. Using log-rank analysis, five loci were associated with progression to more advanced disease (RASSF1a, E-cadherin, TNFSR25, EDNRB, and APC; P < 0.05). Multivariate analysis revealed that the overall degree of methylation was more significantly associated with subsequent progression and death (Cox, P = 0.002) than tumor stage (Cox, P = 0.008). Neuro-fuzzy modeling confirmed that these five loci were those most associated with tumor progression. Epigenetic predictive models developed using artificial intelligence techniques identified the presence and timing of tumor progression with 97% specificity and 75% sensitivity. Promoter hypermethylation seems a reliable predictor of tumor progression in bladder cancer. It is associated with aggressive tumors and could be used to identify patients with either superficial disease requiring radical treatment or a low progression risk suitable for less intensive surveillance. Multicenter studies are warranted to validate this marker.

MeSH Terms
Aged Aged, 80 and over Biomarkers, Tumor/genetics DNA Methylation Disease Progression Epigenesis, Genetic Female Fuzzy Logic Humans Male Middle Aged Models, Genetic Neoplasm Staging Polymerase Chain Reaction Prognosis Promoter Regions, Genetic/genetics Sensitivity and Specificity Urinary Bladder Neoplasms/genetics,pathology
Chemicals
Biomarkers, Tumor
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Yates David R
Institute of Cancer Studies, Academic Urology Unit, Academic Pathology Unit, and Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, United Kingdom.
Rehman Ishtiaq
Abbod Maysam F
Meuth Mark
Cross Simon S
Linkens Derek A
Hamdy Freddie C
Catto James W F
Article Info
Journal
Clinical cancer research : an official journal of the American Association for Cancer Research
Abbr.
Clin Cancer Res
ISSN
1078-0432
Published
2007-04-01
Pages
2046-53
Language
English
Region
United States
NLM ID
9502500
Subset
IM
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