Colorectal cancer prevention: choosing the most effective population strategy using bio-mathematical approaches.

2.50
Hdl Handle:
http://hdl.handle.net/10541/71019
Title:
Colorectal cancer prevention: choosing the most effective population strategy using bio-mathematical approaches.
Authors:
Renehan, Andrew G; Luebeck, G
Abstract:
Colorectal cancer is a leading cause of cancer-related death globally, though in theory at least, it is eminently preventable in many cases. Preventive strategies are either primary or secondary, but for population strategists, choosing the 'best' approach is not straightforward. Here, we summarize the potential role of bio-mathematical modelling, specifically focusing on a model that combines known details of crypt cell kinetics with stochastic models of cell birth and death processes. Examples are discussed of the potential population effects of an agent that modulates cell kinetics, such as aspirin, vs one that merely reduces mutational rates.
Affiliation:
Department of Surgery, Academic Division of Cancer Studies, Christie Hospital NHS Trust, Manchester M20 4BX, UK. arenehan@picr.man.ac.uk
Citation:
Colorectal cancer prevention: choosing the most effective population strategy using bio-mathematical approaches. 2007, 9 (5):393-6 Colorectal Dis
Journal:
Colorectal Disease
Issue Date:
Jun-2007
URI:
http://hdl.handle.net/10541/71019
DOI:
10.1111/j.1463-1318.2007.01214.x
PubMed ID:
17477853
Type:
Article
Language:
en
ISSN:
1462-8910
Appears in Collections:
All Christie Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorRenehan, Andrew G-
dc.contributor.authorLuebeck, G-
dc.date.accessioned2009-06-19T13:52:17Z-
dc.date.available2009-06-19T13:52:17Z-
dc.date.issued2007-06-
dc.identifier.citationColorectal cancer prevention: choosing the most effective population strategy using bio-mathematical approaches. 2007, 9 (5):393-6 Colorectal Disen
dc.identifier.issn1462-8910-
dc.identifier.pmid17477853-
dc.identifier.doi10.1111/j.1463-1318.2007.01214.x-
dc.identifier.urihttp://hdl.handle.net/10541/71019-
dc.description.abstractColorectal cancer is a leading cause of cancer-related death globally, though in theory at least, it is eminently preventable in many cases. Preventive strategies are either primary or secondary, but for population strategists, choosing the 'best' approach is not straightforward. Here, we summarize the potential role of bio-mathematical modelling, specifically focusing on a model that combines known details of crypt cell kinetics with stochastic models of cell birth and death processes. Examples are discussed of the potential population effects of an agent that modulates cell kinetics, such as aspirin, vs one that merely reduces mutational rates.en
dc.language.isoenen
dc.subjectColorectal Canceren
dc.subject.meshAdenoma-
dc.subject.meshAspirin-
dc.subject.meshColorectal Neoplasms-
dc.subject.meshFemale-
dc.subject.meshFood Habits-
dc.subject.meshHumans-
dc.subject.meshMale-
dc.subject.meshMass Screening-
dc.subject.meshModels, Biological-
dc.subject.meshRandomized Controlled Trials as Topic-
dc.subject.meshSEER Program-
dc.titleColorectal cancer prevention: choosing the most effective population strategy using bio-mathematical approaches.en
dc.typeArticleen
dc.contributor.departmentDepartment of Surgery, Academic Division of Cancer Studies, Christie Hospital NHS Trust, Manchester M20 4BX, UK. arenehan@picr.man.ac.uken
dc.identifier.journalColorectal Diseaseen

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