Cost Comparison of Genetic Testing Strategies in Women With Epithelial Ovarian Cancer
The advent of multigene panels has increased genetic testing options for women with epithelial ovarian cancer (EOC). We designed a decision model to compare costs and probabilities of identifying a deleterious mutation or variant of uncertain significance (VUS) using different genetic testing strate...
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Veröffentlicht in: | Journal of oncology practice 2017-02, Vol.13 (2), p.e120-e129 |
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container_title | Journal of oncology practice |
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creator | Foote, Jonathan R Lopez-Acevedo, Micael Buchanan, Adam H Secord, Angeles Alvarez Lee, Paula S Fountain, Cynthia Myers, Evan R Cohn, David E Reed, Shelby D Havrilesky, Laura J |
description | The advent of multigene panels has increased genetic testing options for women with epithelial ovarian cancer (EOC). We designed a decision model to compare costs and probabilities of identifying a deleterious mutation or variant of uncertain significance (VUS) using different genetic testing strategies.
A decision model was developed to compare costs and outcomes of two testing strategies for women with EOC: multigene testing (MGT) versus single-gene testing for BRCA1/2. Outcomes were mean cost and number of deleterious mutations and VUSs identified. Model inputs were obtained from published genetic testing data in EOC. One-way sensitivity analyses and Monte Carlo probabilistic sensitivity analyses were performed.
No family history model: MGT cost $1,160 more on average than BRCA1/2 testing and identified an additional 3.8 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $30,812 and identified 5.4 additional VUSs. Family history model: MGT cost $654 more on average and identified an additional 7.0 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $9,909 and identified 2.6 additional VUSs.
MGT was associated with a higher additional cost per deleterious mutation identified and a higher ratio of VUS burden to actionable information in women with no family history as compared with women with a family history. Family history should be considered when determining an initial genetic testing platform in women with EOC. |
doi_str_mv | 10.1200/JOP.2016.011866 |
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A decision model was developed to compare costs and outcomes of two testing strategies for women with EOC: multigene testing (MGT) versus single-gene testing for BRCA1/2. Outcomes were mean cost and number of deleterious mutations and VUSs identified. Model inputs were obtained from published genetic testing data in EOC. One-way sensitivity analyses and Monte Carlo probabilistic sensitivity analyses were performed.
No family history model: MGT cost $1,160 more on average than BRCA1/2 testing and identified an additional 3.8 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $30,812 and identified 5.4 additional VUSs. Family history model: MGT cost $654 more on average and identified an additional 7.0 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $9,909 and identified 2.6 additional VUSs.
MGT was associated with a higher additional cost per deleterious mutation identified and a higher ratio of VUS burden to actionable information in women with no family history as compared with women with a family history. Family history should be considered when determining an initial genetic testing platform in women with EOC.</description><identifier>ISSN: 1554-7477</identifier><identifier>EISSN: 1935-469X</identifier><identifier>DOI: 10.1200/JOP.2016.011866</identifier><identifier>PMID: 28045615</identifier><language>eng</language><publisher>United States</publisher><subject>BRCA1 Protein - genetics ; BRCA2 Protein - genetics ; Carcinoma, Ovarian Epithelial ; Female ; Genetic Testing - economics ; Health Care Costs ; Humans ; Medical History Taking ; Models, Economic ; Mutation ; Neoplasms, Glandular and Epithelial - economics ; Neoplasms, Glandular and Epithelial - genetics ; Ovarian Neoplasms - economics ; Ovarian Neoplasms - genetics</subject><ispartof>Journal of oncology practice, 2017-02, Vol.13 (2), p.e120-e129</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c338t-2b2fc7c3657836ff4b096b86b28f73d030ce73ef8075a6d2477813f1c02fbd9f3</citedby><cites>FETCH-LOGICAL-c338t-2b2fc7c3657836ff4b096b86b28f73d030ce73ef8075a6d2477813f1c02fbd9f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,3731,27931,27932</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28045615$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Foote, Jonathan R</creatorcontrib><creatorcontrib>Lopez-Acevedo, Micael</creatorcontrib><creatorcontrib>Buchanan, Adam H</creatorcontrib><creatorcontrib>Secord, Angeles Alvarez</creatorcontrib><creatorcontrib>Lee, Paula S</creatorcontrib><creatorcontrib>Fountain, Cynthia</creatorcontrib><creatorcontrib>Myers, Evan R</creatorcontrib><creatorcontrib>Cohn, David E</creatorcontrib><creatorcontrib>Reed, Shelby D</creatorcontrib><creatorcontrib>Havrilesky, Laura J</creatorcontrib><title>Cost Comparison of Genetic Testing Strategies in Women With Epithelial Ovarian Cancer</title><title>Journal of oncology practice</title><addtitle>J Oncol Pract</addtitle><description>The advent of multigene panels has increased genetic testing options for women with epithelial ovarian cancer (EOC). We designed a decision model to compare costs and probabilities of identifying a deleterious mutation or variant of uncertain significance (VUS) using different genetic testing strategies.
A decision model was developed to compare costs and outcomes of two testing strategies for women with EOC: multigene testing (MGT) versus single-gene testing for BRCA1/2. Outcomes were mean cost and number of deleterious mutations and VUSs identified. Model inputs were obtained from published genetic testing data in EOC. One-way sensitivity analyses and Monte Carlo probabilistic sensitivity analyses were performed.
No family history model: MGT cost $1,160 more on average than BRCA1/2 testing and identified an additional 3.8 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $30,812 and identified 5.4 additional VUSs. Family history model: MGT cost $654 more on average and identified an additional 7.0 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $9,909 and identified 2.6 additional VUSs.
MGT was associated with a higher additional cost per deleterious mutation identified and a higher ratio of VUS burden to actionable information in women with no family history as compared with women with a family history. Family history should be considered when determining an initial genetic testing platform in women with EOC.</description><subject>BRCA1 Protein - genetics</subject><subject>BRCA2 Protein - genetics</subject><subject>Carcinoma, Ovarian Epithelial</subject><subject>Female</subject><subject>Genetic Testing - economics</subject><subject>Health Care Costs</subject><subject>Humans</subject><subject>Medical History Taking</subject><subject>Models, Economic</subject><subject>Mutation</subject><subject>Neoplasms, Glandular and Epithelial - economics</subject><subject>Neoplasms, Glandular and Epithelial - genetics</subject><subject>Ovarian Neoplasms - economics</subject><subject>Ovarian Neoplasms - genetics</subject><issn>1554-7477</issn><issn>1935-469X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kL1PwzAQxS0EoqUwsyGPLGn9EX9kRBEUUKUi0Qo2y3HsYpTEJU6R-O9x1cINdze893T3A-AaoykmCM2ely9TgjCfIowl5ydgjAvKspwX76dpZyzPRC7ECFzE-IlQzoqCn4MRkWnlmI3BugxxgGVot7r3MXQwODi3nR28gSsbB99t4OvQ68FuvI3Qd_AttDZ1P3zA-23qtvG6gcvv5NcdLHVnbH8Jzpxuor06zglYP9yvysdssZw_lXeLzFAqh4xUxBlhKGdCUu5cXqGCV5JXRDpBa0SRsYJaJ5FgmtckfSIxddgg4qq6cHQCbg-52z587dK5qvXR2KbRnQ27qLBkjKZCPElnB6npQ4y9dWrb-1b3PwojtWepEku1Z6kOLJPj5hi-q1pb_-v_4NFf-XFuqg</recordid><startdate>201702</startdate><enddate>201702</enddate><creator>Foote, Jonathan R</creator><creator>Lopez-Acevedo, Micael</creator><creator>Buchanan, Adam H</creator><creator>Secord, Angeles Alvarez</creator><creator>Lee, Paula S</creator><creator>Fountain, Cynthia</creator><creator>Myers, Evan R</creator><creator>Cohn, David E</creator><creator>Reed, Shelby D</creator><creator>Havrilesky, Laura J</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></search><sort><creationdate>201702</creationdate><title>Cost Comparison of Genetic Testing Strategies in Women With Epithelial Ovarian Cancer</title><author>Foote, Jonathan R ; Lopez-Acevedo, Micael ; Buchanan, Adam H ; Secord, Angeles Alvarez ; Lee, Paula S ; Fountain, Cynthia ; Myers, Evan R ; Cohn, David E ; Reed, Shelby D ; Havrilesky, Laura J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-2b2fc7c3657836ff4b096b86b28f73d030ce73ef8075a6d2477813f1c02fbd9f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>BRCA1 Protein - genetics</topic><topic>BRCA2 Protein - genetics</topic><topic>Carcinoma, Ovarian Epithelial</topic><topic>Female</topic><topic>Genetic Testing - economics</topic><topic>Health Care Costs</topic><topic>Humans</topic><topic>Medical History Taking</topic><topic>Models, Economic</topic><topic>Mutation</topic><topic>Neoplasms, Glandular and Epithelial - economics</topic><topic>Neoplasms, Glandular and Epithelial - genetics</topic><topic>Ovarian Neoplasms - economics</topic><topic>Ovarian Neoplasms - genetics</topic><toplevel>online_resources</toplevel><creatorcontrib>Foote, Jonathan R</creatorcontrib><creatorcontrib>Lopez-Acevedo, Micael</creatorcontrib><creatorcontrib>Buchanan, Adam H</creatorcontrib><creatorcontrib>Secord, Angeles Alvarez</creatorcontrib><creatorcontrib>Lee, Paula S</creatorcontrib><creatorcontrib>Fountain, Cynthia</creatorcontrib><creatorcontrib>Myers, Evan R</creatorcontrib><creatorcontrib>Cohn, David E</creatorcontrib><creatorcontrib>Reed, Shelby D</creatorcontrib><creatorcontrib>Havrilesky, Laura J</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><jtitle>Journal of oncology practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Foote, Jonathan R</au><au>Lopez-Acevedo, Micael</au><au>Buchanan, Adam H</au><au>Secord, Angeles Alvarez</au><au>Lee, Paula S</au><au>Fountain, Cynthia</au><au>Myers, Evan R</au><au>Cohn, David E</au><au>Reed, Shelby D</au><au>Havrilesky, Laura J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cost Comparison of Genetic Testing Strategies in Women With Epithelial Ovarian Cancer</atitle><jtitle>Journal of oncology practice</jtitle><addtitle>J Oncol Pract</addtitle><date>2017-02</date><risdate>2017</risdate><volume>13</volume><issue>2</issue><spage>e120</spage><epage>e129</epage><pages>e120-e129</pages><issn>1554-7477</issn><eissn>1935-469X</eissn><abstract>The advent of multigene panels has increased genetic testing options for women with epithelial ovarian cancer (EOC). We designed a decision model to compare costs and probabilities of identifying a deleterious mutation or variant of uncertain significance (VUS) using different genetic testing strategies.
A decision model was developed to compare costs and outcomes of two testing strategies for women with EOC: multigene testing (MGT) versus single-gene testing for BRCA1/2. Outcomes were mean cost and number of deleterious mutations and VUSs identified. Model inputs were obtained from published genetic testing data in EOC. One-way sensitivity analyses and Monte Carlo probabilistic sensitivity analyses were performed.
No family history model: MGT cost $1,160 more on average than BRCA1/2 testing and identified an additional 3.8 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $30,812 and identified 5.4 additional VUSs. Family history model: MGT cost $654 more on average and identified an additional 7.0 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $9,909 and identified 2.6 additional VUSs.
MGT was associated with a higher additional cost per deleterious mutation identified and a higher ratio of VUS burden to actionable information in women with no family history as compared with women with a family history. Family history should be considered when determining an initial genetic testing platform in women with EOC.</abstract><cop>United States</cop><pmid>28045615</pmid><doi>10.1200/JOP.2016.011866</doi><oa>free_for_read</oa></addata></record> |
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subjects | BRCA1 Protein - genetics BRCA2 Protein - genetics Carcinoma, Ovarian Epithelial Female Genetic Testing - economics Health Care Costs Humans Medical History Taking Models, Economic Mutation Neoplasms, Glandular and Epithelial - economics Neoplasms, Glandular and Epithelial - genetics Ovarian Neoplasms - economics Ovarian Neoplasms - genetics |
title | Cost Comparison of Genetic Testing Strategies in Women With Epithelial Ovarian Cancer |
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