Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History

There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening. Using the MISCAN-Colon model, we simulated a cohort of 100 mi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2020-01, Vol.29 (1), p.10-21
Hauptverfasser: Cenin, Dayna R, Naber, Steffie K, de Weerdt, Anne C, Jenkins, Mark A, Preen, David B, Ee, Hooi C, O'Leary, Peter C, Lansdorp-Vogelaar, Iris
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 21
container_issue 1
container_start_page 10
container_title Cancer epidemiology, biomarkers & prevention
container_volume 29
creator Cenin, Dayna R
Naber, Steffie K
de Weerdt, Anne C
Jenkins, Mark A
Preen, David B
Ee, Hooi C
O'Leary, Peter C
Lansdorp-Vogelaar, Iris
description There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening. Using the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both. At a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48. Uniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk. Personalized screening could become increasingly viable as costs for determining risk decrease.
doi_str_mv 10.1158/1055-9965.EPI-18-1123
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7159991</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2316783279</sourcerecordid><originalsourceid>FETCH-LOGICAL-c411t-78fddc1325f128f26eff2c5e612429dd3619f3250ae0ed5185161dc5577fe6b63</originalsourceid><addsrcrecordid>eNpVkV1vFSEQhjdGY2v1J2i49GYrA4dluTHRzalt0qQnflwTCsMRZaHCnibHXy8n_Yi9YsI8884kT9e9BXoKIMYPQIXolRrE6Xpz0cPYAzD-rDsGwcdeSiGet_qBOepe1fqLUiqVEC-7Iw5yNbKBHnfzlOvSr71Hu4RbTFgryZ5ssNScTAx_0ZFvtiCmkLbE50KmHHNptIlkMsliIZ9NbVROZJPjfttIS76G-puY5MiZmUPck_NQl1z2r7sX3sSKb-7fk-7H2fr7dN5fXn25mD5d9nYFsPRy9M5Z4Ex4YKNnA3rPrMAB2Iop5_gAyrcuNUjRCRgFDOCsEFJ6HK4HftJ9vMu92V3P6CympZiob0qYTdnrbIJ-2knhp97mWy1BKKWgBby_Dyj5zw7roudQLcZoEuZd1YzDIEfOpGqouENtybUW9I9rgOqDKn3QoA8adFOloX00VW3u3f83Pk49uOH_AHyDkcE</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2316783279</pqid></control><display><type>article</type><title>Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History</title><source>MEDLINE</source><source>American Association for Cancer Research</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Cenin, Dayna R ; Naber, Steffie K ; de Weerdt, Anne C ; Jenkins, Mark A ; Preen, David B ; Ee, Hooi C ; O'Leary, Peter C ; Lansdorp-Vogelaar, Iris</creator><creatorcontrib>Cenin, Dayna R ; Naber, Steffie K ; de Weerdt, Anne C ; Jenkins, Mark A ; Preen, David B ; Ee, Hooi C ; O'Leary, Peter C ; Lansdorp-Vogelaar, Iris</creatorcontrib><description>There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening. Using the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both. At a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48. Uniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk. Personalized screening could become increasingly viable as costs for determining risk decrease.</description><identifier>ISSN: 1055-9965</identifier><identifier>EISSN: 1538-7755</identifier><identifier>DOI: 10.1158/1055-9965.EPI-18-1123</identifier><identifier>PMID: 31748260</identifier><language>eng</language><publisher>United States</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Australia - epidemiology ; Colonoscopy - economics ; Colorectal Neoplasms - diagnosis ; Colorectal Neoplasms - epidemiology ; Colorectal Neoplasms - genetics ; Colorectal Neoplasms - prevention &amp; control ; Computer Simulation ; Cost-Benefit Analysis ; Early Detection of Cancer - economics ; Early Detection of Cancer - methods ; Female ; Genetic Predisposition to Disease ; Genetic Testing - economics ; Health Care Costs ; Humans ; Male ; Mass Screening - economics ; Mass Screening - methods ; Medical History Taking ; Middle Aged ; Models, Economic ; Multifactorial Inheritance ; Occult Blood ; Polymorphism, Single Nucleotide ; Precision Medicine - economics ; Precision Medicine - methods ; Quality-Adjusted Life Years ; Risk Assessment - economics ; Risk Assessment - methods ; Risk Factors</subject><ispartof>Cancer epidemiology, biomarkers &amp; prevention, 2020-01, Vol.29 (1), p.10-21</ispartof><rights>2019 American Association for Cancer Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-78fddc1325f128f26eff2c5e612429dd3619f3250ae0ed5185161dc5577fe6b63</citedby><cites>FETCH-LOGICAL-c411t-78fddc1325f128f26eff2c5e612429dd3619f3250ae0ed5185161dc5577fe6b63</cites><orcidid>0000-0003-2598-7035 ; 0000-0001-9375-0801 ; 0000-0001-8357-1738</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,3343,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31748260$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cenin, Dayna R</creatorcontrib><creatorcontrib>Naber, Steffie K</creatorcontrib><creatorcontrib>de Weerdt, Anne C</creatorcontrib><creatorcontrib>Jenkins, Mark A</creatorcontrib><creatorcontrib>Preen, David B</creatorcontrib><creatorcontrib>Ee, Hooi C</creatorcontrib><creatorcontrib>O'Leary, Peter C</creatorcontrib><creatorcontrib>Lansdorp-Vogelaar, Iris</creatorcontrib><title>Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History</title><title>Cancer epidemiology, biomarkers &amp; prevention</title><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><description>There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening. Using the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both. At a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48. Uniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk. Personalized screening could become increasingly viable as costs for determining risk decrease.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Australia - epidemiology</subject><subject>Colonoscopy - economics</subject><subject>Colorectal Neoplasms - diagnosis</subject><subject>Colorectal Neoplasms - epidemiology</subject><subject>Colorectal Neoplasms - genetics</subject><subject>Colorectal Neoplasms - prevention &amp; control</subject><subject>Computer Simulation</subject><subject>Cost-Benefit Analysis</subject><subject>Early Detection of Cancer - economics</subject><subject>Early Detection of Cancer - methods</subject><subject>Female</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetic Testing - economics</subject><subject>Health Care Costs</subject><subject>Humans</subject><subject>Male</subject><subject>Mass Screening - economics</subject><subject>Mass Screening - methods</subject><subject>Medical History Taking</subject><subject>Middle Aged</subject><subject>Models, Economic</subject><subject>Multifactorial Inheritance</subject><subject>Occult Blood</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Precision Medicine - economics</subject><subject>Precision Medicine - methods</subject><subject>Quality-Adjusted Life Years</subject><subject>Risk Assessment - economics</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><issn>1055-9965</issn><issn>1538-7755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkV1vFSEQhjdGY2v1J2i49GYrA4dluTHRzalt0qQnflwTCsMRZaHCnibHXy8n_Yi9YsI8884kT9e9BXoKIMYPQIXolRrE6Xpz0cPYAzD-rDsGwcdeSiGet_qBOepe1fqLUiqVEC-7Iw5yNbKBHnfzlOvSr71Hu4RbTFgryZ5ssNScTAx_0ZFvtiCmkLbE50KmHHNptIlkMsliIZ9NbVROZJPjfttIS76G-puY5MiZmUPck_NQl1z2r7sX3sSKb-7fk-7H2fr7dN5fXn25mD5d9nYFsPRy9M5Z4Ex4YKNnA3rPrMAB2Iop5_gAyrcuNUjRCRgFDOCsEFJ6HK4HftJ9vMu92V3P6CympZiob0qYTdnrbIJ-2knhp97mWy1BKKWgBby_Dyj5zw7roudQLcZoEuZd1YzDIEfOpGqouENtybUW9I9rgOqDKn3QoA8adFOloX00VW3u3f83Pk49uOH_AHyDkcE</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Cenin, Dayna R</creator><creator>Naber, Steffie K</creator><creator>de Weerdt, Anne C</creator><creator>Jenkins, Mark A</creator><creator>Preen, David B</creator><creator>Ee, Hooi C</creator><creator>O'Leary, Peter C</creator><creator>Lansdorp-Vogelaar, Iris</creator><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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2598-7035</orcidid><orcidid>https://orcid.org/0000-0001-9375-0801</orcidid><orcidid>https://orcid.org/0000-0001-8357-1738</orcidid></search><sort><creationdate>20200101</creationdate><title>Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History</title><author>Cenin, Dayna R ; Naber, Steffie K ; de Weerdt, Anne C ; Jenkins, Mark A ; Preen, David B ; Ee, Hooi C ; O'Leary, Peter C ; Lansdorp-Vogelaar, Iris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-78fddc1325f128f26eff2c5e612429dd3619f3250ae0ed5185161dc5577fe6b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Australia - epidemiology</topic><topic>Colonoscopy - economics</topic><topic>Colorectal Neoplasms - diagnosis</topic><topic>Colorectal Neoplasms - epidemiology</topic><topic>Colorectal Neoplasms - genetics</topic><topic>Colorectal Neoplasms - prevention &amp; control</topic><topic>Computer Simulation</topic><topic>Cost-Benefit Analysis</topic><topic>Early Detection of Cancer - economics</topic><topic>Early Detection of Cancer - methods</topic><topic>Female</topic><topic>Genetic Predisposition to Disease</topic><topic>Genetic Testing - economics</topic><topic>Health Care Costs</topic><topic>Humans</topic><topic>Male</topic><topic>Mass Screening - economics</topic><topic>Mass Screening - methods</topic><topic>Medical History Taking</topic><topic>Middle Aged</topic><topic>Models, Economic</topic><topic>Multifactorial Inheritance</topic><topic>Occult Blood</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Precision Medicine - economics</topic><topic>Precision Medicine - methods</topic><topic>Quality-Adjusted Life Years</topic><topic>Risk Assessment - economics</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cenin, Dayna R</creatorcontrib><creatorcontrib>Naber, Steffie K</creatorcontrib><creatorcontrib>de Weerdt, Anne C</creatorcontrib><creatorcontrib>Jenkins, Mark A</creatorcontrib><creatorcontrib>Preen, David B</creatorcontrib><creatorcontrib>Ee, Hooi C</creatorcontrib><creatorcontrib>O'Leary, Peter C</creatorcontrib><creatorcontrib>Lansdorp-Vogelaar, Iris</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancer epidemiology, biomarkers &amp; prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cenin, Dayna R</au><au>Naber, Steffie K</au><au>de Weerdt, Anne C</au><au>Jenkins, Mark A</au><au>Preen, David B</au><au>Ee, Hooi C</au><au>O'Leary, Peter C</au><au>Lansdorp-Vogelaar, Iris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History</atitle><jtitle>Cancer epidemiology, biomarkers &amp; prevention</jtitle><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>29</volume><issue>1</issue><spage>10</spage><epage>21</epage><pages>10-21</pages><issn>1055-9965</issn><eissn>1538-7755</eissn><abstract>There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening. Using the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both. At a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48. Uniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk. Personalized screening could become increasingly viable as costs for determining risk decrease.</abstract><cop>United States</cop><pmid>31748260</pmid><doi>10.1158/1055-9965.EPI-18-1123</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-2598-7035</orcidid><orcidid>https://orcid.org/0000-0001-9375-0801</orcidid><orcidid>https://orcid.org/0000-0001-8357-1738</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1055-9965
ispartof Cancer epidemiology, biomarkers & prevention, 2020-01, Vol.29 (1), p.10-21
issn 1055-9965
1538-7755
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7159991
source MEDLINE; American Association for Cancer Research; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Adult
Aged
Aged, 80 and over
Australia - epidemiology
Colonoscopy - economics
Colorectal Neoplasms - diagnosis
Colorectal Neoplasms - epidemiology
Colorectal Neoplasms - genetics
Colorectal Neoplasms - prevention & control
Computer Simulation
Cost-Benefit Analysis
Early Detection of Cancer - economics
Early Detection of Cancer - methods
Female
Genetic Predisposition to Disease
Genetic Testing - economics
Health Care Costs
Humans
Male
Mass Screening - economics
Mass Screening - methods
Medical History Taking
Middle Aged
Models, Economic
Multifactorial Inheritance
Occult Blood
Polymorphism, Single Nucleotide
Precision Medicine - economics
Precision Medicine - methods
Quality-Adjusted Life Years
Risk Assessment - economics
Risk Assessment - methods
Risk Factors
title Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T21%3A47%3A55IST&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=Cost-Effectiveness%20of%20Personalized%20Screening%20for%20Colorectal%20Cancer%20Based%20on%20Polygenic%20Risk%20and%20Family%20History&rft.jtitle=Cancer%20epidemiology,%20biomarkers%20&%20prevention&rft.au=Cenin,%20Dayna%20R&rft.date=2020-01-01&rft.volume=29&rft.issue=1&rft.spage=10&rft.epage=21&rft.pages=10-21&rft.issn=1055-9965&rft.eissn=1538-7755&rft_id=info:doi/10.1158/1055-9965.EPI-18-1123&rft_dat=%3Cproquest_pubme%3E2316783279%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=2316783279&rft_id=info:pmid/31748260&rfr_iscdi=true