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

Andrew G. Renehan; G. Luebeck

doi:10.1111/j.1463-1318.2007.01214.x

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

Research output: Contribution to journal › Article › peer-review

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. © 2007 Blackwell Publishing Ltd.

Original language	English
Pages (from-to)	393-396
Number of pages	3
Journal	Colorectal Disease
Volume	9
Issue number	5
DOIs	https://doi.org/10.1111/j.1463-1318.2007.01214.x
Publication status	Published - Jun 2007

Keywords

genetics: Adenoma
therapeutic use: Aspirin
genetics: Colorectal Neoplasms
Female
Food Habits
Humans
Male
methods: Mass Screening
Models, Biological
Randomized Controlled Trials as Topic
SEER Program

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1111/j.1463-1318.2007.01214.x

Cite this

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title = "Colorectal cancer prevention: Choosing the most effective population strategy using bio-mathematical approaches",

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. {\textcopyright} 2007 Blackwell Publishing Ltd.",

keywords = "genetics: Adenoma, therapeutic use: Aspirin, genetics: Colorectal Neoplasms, Female, Food Habits, Humans, Male, methods: Mass Screening, Models, Biological, Randomized Controlled Trials as Topic, SEER Program",

author = "Renehan, {Andrew G.} and G. Luebeck",

year = "2007",

month = jun,

doi = "10.1111/j.1463-1318.2007.01214.x",

language = "English",

volume = "9",

pages = "393--396",

journal = "Colorectal Disease",

issn = "1462-8910",

publisher = "John Wiley & Sons Ltd",

number = "5",

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TY - JOUR

T1 - Colorectal cancer prevention: Choosing the most effective population strategy using bio-mathematical approaches

AU - Renehan, Andrew G.

AU - Luebeck, G.

PY - 2007/6

Y1 - 2007/6

N2 - 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. © 2007 Blackwell Publishing Ltd.

AB - 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. © 2007 Blackwell Publishing Ltd.

KW - genetics: Adenoma

KW - therapeutic use: Aspirin

KW - genetics: Colorectal Neoplasms

KW - Female

KW - Food Habits

KW - Humans

KW - Male

KW - methods: Mass Screening

KW - Models, Biological

KW - Randomized Controlled Trials as Topic

KW - SEER Program

U2 - 10.1111/j.1463-1318.2007.01214.x

DO - 10.1111/j.1463-1318.2007.01214.x

M3 - Article

SN - 1462-8910

VL - 9

SP - 393

EP - 396

JO - Colorectal Disease

JF - Colorectal Disease

IS - 5

ER -

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

Abstract

Keywords

UN SDGs

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