Identification of genetic susceptibility to childhood cancer through analysis of genes in parallel.

TitleIdentification of genetic susceptibility to childhood cancer through analysis of genes in parallel.
Publication TypeJournal Article
Year of Publication2011
AuthorsPlon, SE, Wheeler, DA, Strong, LC, Tomlinson, GE, Pirics, M, Meng, Q, Cheung, HC, Begin, PR, Muzny, DM, Lewis, L, Biegel, JA, Gibbs, RA
JournalCancer Genet
Volume204
Issue1
Pagination19-25
Date Published2011 Jan
ISSN2210-7762
KeywordsAdolescent, Adult, Algorithms, Child, DNA Mutational Analysis, DNA Repair, Gene Dosage, Genes, Dominant, Genes, Recessive, Genes, Tumor Suppressor, Genetic Predisposition to Disease, Humans, Immunoprecipitation, Models, Genetic, Mutation, Neoplasms, Oncogenes, Reverse Transcriptase Polymerase Chain Reaction, Rhabdoid Tumor
Abstract

Clinical cancer genetic susceptibility analysis typically proceeds sequentially, beginning with the most likely causative gene. The process is time consuming and the yield is low, particularly for families with unusual patterns of cancer. We determined the results of in parallel mutation analysis of a large cancer-associated gene panel. We performed deletion analysis and sequenced the coding regions of 45 genes (8 oncogenes and 37 tumor suppressor or DNA repair genes) in 48 childhood cancer patients who also (i) were diagnosed with a second malignancy under age 30, (ii) have a sibling diagnosed with cancer under age 30, and/or (iii) have a major congenital anomaly or developmental delay. Deleterious mutations were identified in 6 of 48 (13%) families, 4 of which met the sibling criteria. Mutations were identified in genes previously implicated in both dominant and recessive childhood syndromes, including SMARCB1, PMS2, and TP53. No pathogenic deletions were identified. This approach has provided efficient identification of childhood cancer susceptibility mutations and will have greater utility as additional cancer susceptibility genes are identified. Integrating parallel analysis of large gene panels into clinical testing will speed results and increase diagnostic yield. The failure to detect mutations in 87% of families highlights that a number of childhood cancer susceptibility genes remain to be discovered.

DOI10.1016/j.cancergencyto.2010.11.001
Alternate JournalCancer Genet
PubMed ID21356188
PubMed Central IDPMC3075924
Grant ListU54HG003273 / HG / NHGRI NIH HHS / United States
R01 CA046274 / CA / NCI NIH HHS / United States
R01CA138836 / CA / NCI NIH HHS / United States
U54 HG003273 / HG / NHGRI NIH HHS / United States
CA46274 / CA / NCI NIH HHS / United States
R01 CA138836 / CA / NCI NIH HHS / United States
R01 CA138836-01A2 / CA / NCI NIH HHS / United States
P01CA34936 / CA / NCI NIH HHS / United States
P01 CA034936 / CA / NCI NIH HHS / United States