Analysis of retinoblastoma age incidence data using a fully stochastic cancer model

International Journal of Cancer

Volumn 130, Issue 3, 2012, Pages 631-640

  Little, Mark P ^a   Kleinerman, Ruth A ^a   Stiller, Charles A ^b   Li, Guangquan ^c   Kroll, Mary E ^b,d   Murphy, Michael F G ^b  

^a NATIONAL CANCER INSTITUTE   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

carcinogenesis modeling; RB1 gene; retinoblastoma; stochastic MVK model; two hit theory

Indexed keywords

ADOLESCENT; AGE; ALLELE; ARTICLE; CANCER INCIDENCE; CHILD; CONTROLLED STUDY; FEMALE; GENE MUTATION; GENE SILENCING; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; POPULATION RESEARCH; PRESCHOOL CHILD; PRIORITY JOURNAL; RB1 GENE; RETINOBLASTOMA; SCHOOL CHILD; STEM CELL; STOCHASTIC MODEL; TUMOR SUPPRESSOR GENE; UNITED KINGDOM; VALIDATION STUDY;

ADOLESCENT; AGE FACTORS; ALLELES; CHILD; CHILD, PRESCHOOL; GENES, RETINOBLASTOMA; GENOTYPE; HUMANS; INCIDENCE; INFANT; INFANT, NEWBORN; MODELS, STATISTICAL; MUTATION RATE; RETINOBLASTOMA;

EID: 82255186436     PISSN: 00207136     EISSN: 10970215     Source Type: Journal    
DOI: 10.1002/ijc.26039     Document Type: Article

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