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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of cancer 2012-02, Vol.130 (3), p.631-640
Hauptverfasser: Little, Mark P., Kleinerman, Ruth A., Stiller, Charles A., Li, Guangquan, Kroll, Mary E., Murphy, Michael F.G.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 640
container_issue 3
container_start_page 631
container_title International journal of cancer
container_volume 130
creator Little, Mark P.
Kleinerman, Ruth A.
Stiller, Charles A.
Li, Guangquan
Kroll, Mary E.
Murphy, Michael F.G.
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.
doi_str_mv 10.1002/ijc.26039
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3167952</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>906152386</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5109-a0a0a48387f5b17bc5135c9b743d970c9abd454a8b1edd60479fe11c04b97a123</originalsourceid><addsrcrecordid>eNp10Utv1DAQAGALgejScuAPIEsIIQ5p7diO40ulakUfqNBDW8HNmjjO1osTFzsB9t_jZbfLQ0I-WPJ8nhnNIPSCkkNKSHnkluawrAhTj9CMEiULUlLxGM1yjBSSsmoPPUtpSQilgvCnaK-krJaMiBm6PhnAr5JLOHQ42tENofGQxtADhoXFbjCutYOxuIUR8JTcsMCAu8n7Fc7M3GXsDDaQTcR9aK0_QE868Mk-39776Pb03c38vLi8OruYn1wWRuQuCyD58Dp30omGyia_MmFUIzlrlSRGQdNywaFuqG3binCpOkupIbxREmjJ9tHxJu_91PS2NXYYI3h9H10PcaUDOP13ZHB3ehG-aUYrqcQ6wZttghi-TjaNunfJWO9hsGFKWpGKZlZXWb76Ry7DFPPokqaCc7Uevszq7UaZGFKKttv1Qoleb0rnTelfm8r25Z_N7-TDajJ4vQWQDPgu5gm79NsJwRhndXZHG_fdebv6f0V98X7-ULrY_HBptD92PyB-0ZVkUuhPH8_06efzD3N2Q3XJfgLE3LlK</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1544960397</pqid></control><display><type>article</type><title>Analysis of retinoblastoma age incidence data using a fully stochastic cancer model</title><source>Wiley Online Library - AutoHoldings Journals</source><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Little, Mark P. ; Kleinerman, Ruth A. ; Stiller, Charles A. ; Li, Guangquan ; Kroll, Mary E. ; Murphy, Michael F.G.</creator><creatorcontrib>Little, Mark P. ; Kleinerman, Ruth A. ; Stiller, Charles A. ; Li, Guangquan ; Kroll, Mary E. ; Murphy, Michael F.G.</creatorcontrib><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><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&amp;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 &amp; 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>
fulltext fulltext
identifier ISSN: 0020-7136
ispartof International journal of cancer, 2012-02, Vol.130 (3), p.631-640
issn 0020-7136
1097-0215
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3167952
source Wiley Online Library - AutoHoldings Journals; MEDLINE; EZB-FREE-00999 freely available EZB journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T06%3A09%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20retinoblastoma%20age%20incidence%20data%20using%20a%20fully%20stochastic%20cancer%20model&rft.jtitle=International%20journal%20of%20cancer&rft.au=Little,%20Mark%20P.&rft.date=2012-02-01&rft.volume=130&rft.issue=3&rft.spage=631&rft.epage=640&rft.pages=631-640&rft.issn=0020-7136&rft.eissn=1097-0215&rft.coden=IJCNAW&rft_id=info:doi/10.1002/ijc.26039&rft_dat=%3Cproquest_pubme%3E906152386%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1544960397&rft_id=info:pmid/21387305&rfr_iscdi=true