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. 2010 Feb;57(2):283-92.
doi: 10.1016/j.eururo.2009.08.001. Epub 2009 Aug 12.

Genetic susceptibility to distinct bladder cancer subphenotypes

Affiliations

Genetic susceptibility to distinct bladder cancer subphenotypes

Lin T Guey et al. Eur Urol. 2010 Feb.

Abstract

Background: Clinical, pathologic, and molecular evidence indicate that bladder cancer is heterogeneous with pathologic/molecular features that define distinct subphenotypes with different prognoses. It is conceivable that specific patterns of genetic susceptibility are associated with particular subphenotypes.

Objective: To examine evidence for the contribution of germline genetic variation to bladder cancer heterogeneity.

Design, setting, and participants: The Spanish Bladder Cancer/EPICURO Study is a case-control study based in 18 hospitals located in five areas in Spain. Cases were patients with a newly diagnosed, histologically confirmed, urothelial cell carcinoma of the bladder from 1998 to 2001. Case diagnoses were reviewed and uniformly classified by pathologists following the World Health Organisation/International Society of Urological Pathology 1999 criteria. Controls were hospital-matched patients (n=1149).

Measurements: A total of 1526 candidate variants in 423 candidate genes were analysed. Three distinct subphenotypes were defined according to stage and grade: low-grade nonmuscle invasive (n=586), high-grade nonmuscle invasive (n=219), and muscle invasive (n=246). The association between each variant and subphenotype was assessed by polytomous risk models adjusting for potential confounders. Heterogeneity in genetic susceptibility among subphenotypes was also tested.

Results and limitations: Two established bladder cancer susceptibility genotypes, NAT2 slow-acetylation and GSTM1-null, exhibited similar associations among the subphenotypes, as did VEGF-rs25648, which was previously identified in our study. Other variants conferred risks for specific tumour subphenotypes such as PMS2-rs6463524 and CD4-rs3213427 (respective heterogeneity p values of 0.006 and 0.004), which were associated with muscle-invasive tumours (per-allele odds ratios [95% confidence interval] of 0.56 [0.41-0.77] and 0.71 [0.57-0.88], respectively) but not with non-muscle-invasive tumours. Heterogeneity p values were not robust in multiple testing according to their false-discovery rate.

Conclusions: These exploratory analyses suggest that genetic susceptibility loci might be related to the molecular/pathologic diversity of bladder cancer. Validation through large-scale replication studies and the study of additional genes and single nucleotide polymorphisms are required.

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Conflict of interest statement

Financial disclosures: I certify that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (eg, employment/ affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents filed, received, or pending), are the following: None.

Figures

Fig. 1
Fig. 1
A model for bladder cancer development and progression. Two pathways are defined according to distinctive bladder cancer subphenotypes: The first pathway is composed of low-grade non–muscle-invasive (Ta G1/Ta G2)—genomic stable—tumours; the second is composed of both high-grade non–muscle-invasive (Ta G3/T1 G2/G3) and muscle-invasive (tumour stage [T] ≥2)—genomic unstable—tumours. Mutations in FGFR3 and PIK3CA have been shown to be associated with the first pathway, whereas alterations in the p53 and RB functional networks have been shown to be important for the second pathway. α, β1, and β2 refer to the genetic variants associated with low-grade non–muscle-invasive, high-grade non–muscle-invasive, and muscle-invasive tumours, respectively. G = histologic grade.
Fig. 2
Fig. 2
Per-allele risk estimates and 95% confidence intervals for bladder cancer subphenotypes and pooled cases. Per-allele risk estimates for bladder cancer subphenotypes are represented by boxes that are proportional to sample size. LRT = likelihood ratio test; OR = odds ratio.
Fig. 3
Fig. 3
(a) Risk estimates and 95% confidence intervals (CIs) for bladder cancer subphenotypes for GSTM1-null genotype and NAT2 slow acetylation. (b) Risk estimates and 95% CIs for bladder cancer subphenotypes for the VEGF-rs25648 single nucleotide polymorphism (SNP), given a codominant mode of inheritance. Risk estimates for bladder cancer subphenotypes are represented by boxes that are proportional to sample size. The “Global” p value tests for a genetic association with any subphenotype. The “Hetero” p value tests for heterogeneity in genotype risk estimates among all subphenotypes.
Fig. 3
Fig. 3
(a) Risk estimates and 95% confidence intervals (CIs) for bladder cancer subphenotypes for GSTM1-null genotype and NAT2 slow acetylation. (b) Risk estimates and 95% CIs for bladder cancer subphenotypes for the VEGF-rs25648 single nucleotide polymorphism (SNP), given a codominant mode of inheritance. Risk estimates for bladder cancer subphenotypes are represented by boxes that are proportional to sample size. The “Global” p value tests for a genetic association with any subphenotype. The “Hetero” p value tests for heterogeneity in genotype risk estimates among all subphenotypes.

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