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Updated: Jun 21, 2026

An Orthotopic Bladder Cancer Model for Gene Delivery Studies
Published on: December 1, 2013
Comprehensive genome-wide association study into multiple recurrence and progression risk in non-muscle invasive
Jasper P Hof1, Tessel E Galesloot2, Katja K H Aben3
1Radboud university medical center, IQ Health science department, Nijmegen, the Netherlands; Aarhus University, Center for Quantitative Genetics and Genomics, Aarhus, Denmark.
Background:
Patients with non-muscle invasive bladder cancer (NMIBC) frequently experience recurrence and may progress to muscle-invasive disease. Although several common germline variants associated with bladder cancer risk have been identified, their prognostic value in NMIBC remains unclear. We performed an updated genome-wide association study (GWAS), incorporating additional cohorts and analysing multiple NMIBC recurrences, to identify germline genetic variants associated with recurrence and progression.
Methods:
We analysed eight cohorts (N = 5009) from the Netherlands, UK, Canada, and Spain. Cohort-specific GWAS were conducted using Cox regression for recurrence-free survival (RFS) and progression-free survival (PFS), including recurrent-event analysis and gene-based analyses. Analyses included chromosome X and were stratified by sex and Bacillus Calmette-Guérin (BCG) treatment. Previously reported variants for bladder cancer risk and prognosis were also evaluated.
Results:
We observed 4237 recurrences, of which 2145 were first recurrences, and 742 cases of progression in stage and/or grade. No genome-wide significant associations were identified in the overall population, chromosome X, or sex-stratified analyses. In BCG-treated patients, two loci reached genome-wide significance for RFS, with the strongest signal for rs72744118, an intron variant in DISP-1 (HR = 0.43; 95% CI (0.32, 0.56), p = 5.8 × 10-10). Gene prioritization identified 101 candidate genes from SNP associations (p < 1 × 10-6) and colocalization analyses, of which 16 genes showed nominally significant association between gene expression and NMIBC outcome in UROMOL.
Conclusions:
In the largest GWAS of NMIBC prognosis to date, we prioritized a set of 16 genes. Future research should independently validate the prognostic and functional roles of identified genes.
