title: Assessing the significance of chromosome-loss data: where are suppressor genes for bladder cancer?
abstract: Cytogenetic analysis reveals alterations of chromosome structure (losses, gains, and rearrangements of genetic material) in bladder cancer cells generated using an in vitro/in vivo transformation system. To predict possible locations of bladder cancer suppressor genes, we performed a robust Bayesian analysis of the chromosome-loss data. We postulated a simple stochastic model to describe chromosome loss during tumour progression. Posterior computations are enabled by a dynamic simulation algorithm. Ordered by decreasing posterior probability of putatively harbouring a suppressor gene, we observe significant losses on chromosomes 3, 18, 13, 10, 11, and y.
authors.affiliation: Department of Biostatistics, University of Wisconsin-Madison 53792.
authors.forename: M A
authors.initials: MA
authors.lastname: Newton
authors.forename: S Q
authors.initials: SQ
authors.lastname: Wu
authors.forename: C A
authors.initials: CA
authors.lastname: Reznikoff
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D002295:Carcinoma, Transitional Cell / Q000235:genetics*; D002461:Cell Line, Transformed; D002471:Cell Transformation, Neoplastic / Q000235:genetics*; D002872:Chromosome Deletion; D002874:Chromosome Mapping / Q000706:statistics & numerical data; D016147:Genes, Tumor Suppressor / Q000235:genetics*; D006801:Humans; D007621:Karyotyping; D008432:Mathematical Computing; D008957:Models, Genetic; D011336:Probability; D001749:Urinary Bladder Neoplasms / Q000235:genetics*