title: Sensitive and efficient detection of RB1 gene mutations enhances care for families with retinoblastoma.
abstract: Timely molecular diagnosis of RB1 mutations enables earlier treatment, lower risk, and better health outcomes for patients with retinoblastoma; empowers families to make informed family-planning decisions; and costs less than conventional surveillance. However, complexity has hindered clinical implementation of molecular diagnosis. The majority of RB1 mutations are unique and distributed throughout the RB1 gene, with no real hot spots. We devised a sensitive and efficient strategy to identify RB1 mutations that combines quantitative multiplex polymerase chain reaction (QM-PCR), double-exon sequencing, and promoter-targeted methylation-sensitive PCR. Optimization of test order by stochastic dynamic programming and the development of allele-specific PCR for four recurrent point mutations decreased the estimated turnaround time to <3 wk and decreased direct costs by one-third. The multistep method reported here detected 89% (199/224) of mutations in bilaterally affected probands and both mutant alleles in 84% (112/134) of tumors from unilaterally affected probands. For 23 of 27 exons and the promoter region, QM-PCR was a highly accurate measure of deletions and insertions (accuracy 95%). By revealing those family members who did not carry the mutation found in the related proband, molecular analysis enabled 97 at-risk children from 20 representative families to avoid 313 surveillance examinations under anesthetic and 852 clinic visits. The average savings in direct costs from clinical examinations avoided by children in these families substantially exceeded the cost of molecular testing. Moreover, health care savings continue to accrue, as children in succeeding generations avoid unnecessary repeated anaesthetics and examinations.
authors.affiliation: Faculty of Medicine, University of Western Ontario, Toronto, Ontario, Canada.
authors.forename: Suzanne
authors.initials: S
authors.lastname: Richter
authors.forename: Kirk
authors.initials: K
authors.lastname: Vandezande
authors.forename: Ning
authors.initials: N
authors.lastname: Chen
authors.forename: Katherine
authors.initials: K
authors.lastname: Zhang
authors.forename: Joanne
authors.initials: J
authors.lastname: Sutherland
authors.forename: Julie
authors.initials: J
authors.lastname: Anderson
authors.forename: Liping
authors.initials: L
authors.lastname: Han
authors.forename: Rachel
authors.initials: R
authors.lastname: Panton
authors.forename: Patricia
authors.initials: P
authors.lastname: Branco
authors.forename: Brenda
authors.initials: B
authors.lastname: Gallie
mesh_terms: D000465:Algorithms; D004247:DNA / Q000032:analysis / Q000191:economics / Q000235:genetics; D019175:DNA Methylation; D004252:DNA Mutational Analysis; D004273:DNA, Neoplasm / Q000032:analysis / Q000235:genetics; D016161:Genes, Retinoblastoma; D005838:Genotype; D006801:Humans; D007963:Leukocytes, Mononuclear / Q000737:chemistry; D009154:Mutation; D010375:Pedigree; D010641:Phenotype; D011159:Population Surveillance; D012175:Retinoblastoma / Q000235:genetics*; D012680:Sensitivity and Specificity
chemical_list: D004273:DNA, Neoplasm; D004247:DNA