Analysis of retinoblastoma age incidence data using a fully stochastic cancer model
Retinoblastoma (RB) is an important ocular malignancy of childhood. It has been commonly accepted for some time that knockout of the two alleles of the RB1 gene is the principal molecular target associated with the occurrence of RB. In this article, we examine the validity of the two‐hit theory for...
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Veröffentlicht in: | International journal of cancer 2012-02, Vol.130 (3), p.631-640 |
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description | Retinoblastoma (RB) is an important ocular malignancy of childhood. It has been commonly accepted for some time that knockout of the two alleles of the RB1 gene is the principal molecular target associated with the occurrence of RB. In this article, we examine the validity of the two‐hit theory for RB by comparing the fit of a stochastic model with two or more mutational stages. Unlike many such models, our model assumes a fully stochastic stem cell compartment, which is crucial to its behavior. Models are fitted to a population‐based dataset comprising 1,553 cases of RB for the period 1962–2000 in Great Britain (England, Scotland and Wales). The population incidence of RB is best described by a fully stochastic model with two stages, although models with a deterministic stem cell compartment yield equivalent fit; models with three or more stages fit much less well. The results strongly suggest that knockout of the two alleles of the RB1 gene is necessary and may be largely sufficient for the development of RB, in support of Knudson's two‐hit hypothesis. |
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It has been commonly accepted for some time that knockout of the two alleles of the RB1 gene is the principal molecular target associated with the occurrence of RB. In this article, we examine the validity of the two‐hit theory for RB by comparing the fit of a stochastic model with two or more mutational stages. Unlike many such models, our model assumes a fully stochastic stem cell compartment, which is crucial to its behavior. Models are fitted to a population‐based dataset comprising 1,553 cases of RB for the period 1962–2000 in Great Britain (England, Scotland and Wales). The population incidence of RB is best described by a fully stochastic model with two stages, although models with a deterministic stem cell compartment yield equivalent fit; models with three or more stages fit much less well. The results strongly suggest that knockout of the two alleles of the RB1 gene is necessary and may be largely sufficient for the development of RB, in support of Knudson's two‐hit hypothesis.</description><identifier>ISSN: 0020-7136</identifier><identifier>EISSN: 1097-0215</identifier><identifier>DOI: 10.1002/ijc.26039</identifier><identifier>PMID: 21387305</identifier><identifier>CODEN: IJCNAW</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Adolescent ; Age Factors ; Alleles ; Biological and medical sciences ; Cancer ; carcinogenesis modeling ; Child ; Child, Preschool ; Genes, Retinoblastoma ; Genotype ; Humans ; Incidence ; Infant ; Infant, Newborn ; Medical research ; Medical sciences ; Models, Statistical ; Mutation Rate ; Ophthalmology ; RB1 gene ; retinoblastoma ; Retinoblastoma - epidemiology ; Retinoblastoma - genetics ; Stem cells ; Stochastic models ; stochastic MVK model ; Tumors ; Tumors and pseudotumors of the eye, orbit, eyelid, lacrimal apparatus ; two-hit theory</subject><ispartof>International journal of cancer, 2012-02, Vol.130 (3), p.631-640</ispartof><rights>Copyright © 2011 UICC</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 UICC.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5109-a0a0a48387f5b17bc5135c9b743d970c9abd454a8b1edd60479fe11c04b97a123</citedby><cites>FETCH-LOGICAL-c5109-a0a0a48387f5b17bc5135c9b743d970c9abd454a8b1edd60479fe11c04b97a123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fijc.26039$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fijc.26039$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25533438$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21387305$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Little, Mark P.</creatorcontrib><creatorcontrib>Kleinerman, Ruth A.</creatorcontrib><creatorcontrib>Stiller, Charles A.</creatorcontrib><creatorcontrib>Li, Guangquan</creatorcontrib><creatorcontrib>Kroll, Mary E.</creatorcontrib><creatorcontrib>Murphy, Michael F.G.</creatorcontrib><title>Analysis of retinoblastoma age incidence data using a fully stochastic cancer model</title><title>International journal of cancer</title><addtitle>Int. J. Cancer</addtitle><description>Retinoblastoma (RB) is an important ocular malignancy of childhood. It has been commonly accepted for some time that knockout of the two alleles of the RB1 gene is the principal molecular target associated with the occurrence of RB. In this article, we examine the validity of the two‐hit theory for RB by comparing the fit of a stochastic model with two or more mutational stages. Unlike many such models, our model assumes a fully stochastic stem cell compartment, which is crucial to its behavior. Models are fitted to a population‐based dataset comprising 1,553 cases of RB for the period 1962–2000 in Great Britain (England, Scotland and Wales). The population incidence of RB is best described by a fully stochastic model with two stages, although models with a deterministic stem cell compartment yield equivalent fit; models with three or more stages fit much less well. The results strongly suggest that knockout of the two alleles of the RB1 gene is necessary and may be largely sufficient for the development of RB, in support of Knudson's two‐hit hypothesis.</description><subject>Adolescent</subject><subject>Age Factors</subject><subject>Alleles</subject><subject>Biological and medical sciences</subject><subject>Cancer</subject><subject>carcinogenesis modeling</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Genes, Retinoblastoma</subject><subject>Genotype</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Medical research</subject><subject>Medical sciences</subject><subject>Models, Statistical</subject><subject>Mutation Rate</subject><subject>Ophthalmology</subject><subject>RB1 gene</subject><subject>retinoblastoma</subject><subject>Retinoblastoma - epidemiology</subject><subject>Retinoblastoma - genetics</subject><subject>Stem cells</subject><subject>Stochastic models</subject><subject>stochastic MVK model</subject><subject>Tumors</subject><subject>Tumors and pseudotumors of the eye, orbit, eyelid, lacrimal apparatus</subject><subject>two-hit theory</subject><issn>0020-7136</issn><issn>1097-0215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10Utv1DAQAGALgejScuAPIEsIIQ5p7diO40ulakUfqNBDW8HNmjjO1osTFzsB9t_jZbfLQ0I-WPJ8nhnNIPSCkkNKSHnkluawrAhTj9CMEiULUlLxGM1yjBSSsmoPPUtpSQilgvCnaK-krJaMiBm6PhnAr5JLOHQ42tENofGQxtADhoXFbjCutYOxuIUR8JTcsMCAu8n7Fc7M3GXsDDaQTcR9aK0_QE868Mk-39776Pb03c38vLi8OruYn1wWRuQuCyD58Dp30omGyia_MmFUIzlrlSRGQdNywaFuqG3binCpOkupIbxREmjJ9tHxJu_91PS2NXYYI3h9H10PcaUDOP13ZHB3ehG-aUYrqcQ6wZttghi-TjaNunfJWO9hsGFKWpGKZlZXWb76Ry7DFPPokqaCc7Uevszq7UaZGFKKttv1Qoleb0rnTelfm8r25Z_N7-TDajJ4vQWQDPgu5gm79NsJwRhndXZHG_fdebv6f0V98X7-ULrY_HBptD92PyB-0ZVkUuhPH8_06efzD3N2Q3XJfgLE3LlK</recordid><startdate>20120201</startdate><enddate>20120201</enddate><creator>Little, Mark P.</creator><creator>Kleinerman, Ruth A.</creator><creator>Stiller, Charles A.</creator><creator>Li, Guangquan</creator><creator>Kroll, Mary E.</creator><creator>Murphy, Michael F.G.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley-Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TO</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20120201</creationdate><title>Analysis of retinoblastoma age incidence data using a fully stochastic cancer model</title><author>Little, Mark P. ; Kleinerman, Ruth A. ; Stiller, Charles A. ; Li, Guangquan ; Kroll, Mary E. ; Murphy, Michael F.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5109-a0a0a48387f5b17bc5135c9b743d970c9abd454a8b1edd60479fe11c04b97a123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adolescent</topic><topic>Age Factors</topic><topic>Alleles</topic><topic>Biological and medical sciences</topic><topic>Cancer</topic><topic>carcinogenesis modeling</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Genes, Retinoblastoma</topic><topic>Genotype</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Medical research</topic><topic>Medical sciences</topic><topic>Models, Statistical</topic><topic>Mutation Rate</topic><topic>Ophthalmology</topic><topic>RB1 gene</topic><topic>retinoblastoma</topic><topic>Retinoblastoma - epidemiology</topic><topic>Retinoblastoma - genetics</topic><topic>Stem cells</topic><topic>Stochastic models</topic><topic>stochastic MVK model</topic><topic>Tumors</topic><topic>Tumors and pseudotumors of the eye, orbit, eyelid, lacrimal apparatus</topic><topic>two-hit theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Little, Mark P.</creatorcontrib><creatorcontrib>Kleinerman, Ruth A.</creatorcontrib><creatorcontrib>Stiller, Charles A.</creatorcontrib><creatorcontrib>Li, Guangquan</creatorcontrib><creatorcontrib>Kroll, Mary E.</creatorcontrib><creatorcontrib>Murphy, Michael F.G.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Little, Mark P.</au><au>Kleinerman, Ruth A.</au><au>Stiller, Charles A.</au><au>Li, Guangquan</au><au>Kroll, Mary E.</au><au>Murphy, Michael F.G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of retinoblastoma age incidence data using a fully stochastic cancer model</atitle><jtitle>International journal of cancer</jtitle><addtitle>Int. J. Cancer</addtitle><date>2012-02-01</date><risdate>2012</risdate><volume>130</volume><issue>3</issue><spage>631</spage><epage>640</epage><pages>631-640</pages><issn>0020-7136</issn><eissn>1097-0215</eissn><coden>IJCNAW</coden><abstract>Retinoblastoma (RB) is an important ocular malignancy of childhood. It has been commonly accepted for some time that knockout of the two alleles of the RB1 gene is the principal molecular target associated with the occurrence of RB. In this article, we examine the validity of the two‐hit theory for RB by comparing the fit of a stochastic model with two or more mutational stages. Unlike many such models, our model assumes a fully stochastic stem cell compartment, which is crucial to its behavior. Models are fitted to a population‐based dataset comprising 1,553 cases of RB for the period 1962–2000 in Great Britain (England, Scotland and Wales). The population incidence of RB is best described by a fully stochastic model with two stages, although models with a deterministic stem cell compartment yield equivalent fit; models with three or more stages fit much less well. The results strongly suggest that knockout of the two alleles of the RB1 gene is necessary and may be largely sufficient for the development of RB, in support of Knudson's two‐hit hypothesis.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>21387305</pmid><doi>10.1002/ijc.26039</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Age Factors Alleles Biological and medical sciences Cancer carcinogenesis modeling Child Child, Preschool Genes, Retinoblastoma Genotype Humans Incidence Infant Infant, Newborn Medical research Medical sciences Models, Statistical Mutation Rate Ophthalmology RB1 gene retinoblastoma Retinoblastoma - epidemiology Retinoblastoma - genetics Stem cells Stochastic models stochastic MVK model Tumors Tumors and pseudotumors of the eye, orbit, eyelid, lacrimal apparatus two-hit theory |
title | Analysis of retinoblastoma age incidence data using a fully stochastic cancer model |
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