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The cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers

BACKGROUND: Limited data exist on the real‐world costs of applying whole‐genome analysis (WGA) in a clinical setting. We estimated the costs of applying WGA to guide treatments for patients with advanced cancers and characterized how costs evolve over time. METHODS: The setting is the British Columb...

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Autores principales: Weymann, Deirdre, Laskin, Janessa, Roscoe, Robyn, Schrader, Kasmintan A., Chia, Stephen, Yip, Stephen, Cheung, Winson Y., Gelmon, Karen A., Karsan, Aly, Renouf, Daniel J., Marra, Marco, Regier, Dean A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441418/
https://www.ncbi.nlm.nih.gov/pubmed/28546995
http://dx.doi.org/10.1002/mgg3.281
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author Weymann, Deirdre
Laskin, Janessa
Roscoe, Robyn
Schrader, Kasmintan A.
Chia, Stephen
Yip, Stephen
Cheung, Winson Y.
Gelmon, Karen A.
Karsan, Aly
Renouf, Daniel J.
Marra, Marco
Regier, Dean A.
author_facet Weymann, Deirdre
Laskin, Janessa
Roscoe, Robyn
Schrader, Kasmintan A.
Chia, Stephen
Yip, Stephen
Cheung, Winson Y.
Gelmon, Karen A.
Karsan, Aly
Renouf, Daniel J.
Marra, Marco
Regier, Dean A.
author_sort Weymann, Deirdre
collection PubMed
description BACKGROUND: Limited data exist on the real‐world costs of applying whole‐genome analysis (WGA) in a clinical setting. We estimated the costs of applying WGA to guide treatments for patients with advanced cancers and characterized how costs evolve over time. METHODS: The setting is the British Columbia Cancer Agency Personalized OncoGenomics (POG) program in British Columbia, Canada. Cost data were obtained for patients who enrolled in the program from 2012 to 2015. We estimated mean WGA costs using bootstrapping. We applied time series analysis and produced 10‐year forecasts to determine when costs are expected to reach critical thresholds. RESULTS: The mean cost of WGA over the study period was CDN$34,886 per patient (95% CI: $34,051, $35,721). Over time, WGA costs decreased, driven by a reduction in costs of sequencing. Yet, costs of other components of WGA increased. Forecasting showed WGA costs may not reach critical thresholds within the next 10 years. CONCLUSION: WGA costs decreased over the studied time horizon, but expenditures needed to realize WGA remain significant. Future research exploring costs and benefits of WGA‐guided cancer care are crucial to guide health policy.
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spelling pubmed-54414182017-05-25 The cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers Weymann, Deirdre Laskin, Janessa Roscoe, Robyn Schrader, Kasmintan A. Chia, Stephen Yip, Stephen Cheung, Winson Y. Gelmon, Karen A. Karsan, Aly Renouf, Daniel J. Marra, Marco Regier, Dean A. Mol Genet Genomic Med Original Articles BACKGROUND: Limited data exist on the real‐world costs of applying whole‐genome analysis (WGA) in a clinical setting. We estimated the costs of applying WGA to guide treatments for patients with advanced cancers and characterized how costs evolve over time. METHODS: The setting is the British Columbia Cancer Agency Personalized OncoGenomics (POG) program in British Columbia, Canada. Cost data were obtained for patients who enrolled in the program from 2012 to 2015. We estimated mean WGA costs using bootstrapping. We applied time series analysis and produced 10‐year forecasts to determine when costs are expected to reach critical thresholds. RESULTS: The mean cost of WGA over the study period was CDN$34,886 per patient (95% CI: $34,051, $35,721). Over time, WGA costs decreased, driven by a reduction in costs of sequencing. Yet, costs of other components of WGA increased. Forecasting showed WGA costs may not reach critical thresholds within the next 10 years. CONCLUSION: WGA costs decreased over the studied time horizon, but expenditures needed to realize WGA remain significant. Future research exploring costs and benefits of WGA‐guided cancer care are crucial to guide health policy. John Wiley and Sons Inc. 2017-03-12 /pmc/articles/PMC5441418/ /pubmed/28546995 http://dx.doi.org/10.1002/mgg3.281 Text en © 2017 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Weymann, Deirdre
Laskin, Janessa
Roscoe, Robyn
Schrader, Kasmintan A.
Chia, Stephen
Yip, Stephen
Cheung, Winson Y.
Gelmon, Karen A.
Karsan, Aly
Renouf, Daniel J.
Marra, Marco
Regier, Dean A.
The cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers
title The cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers
title_full The cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers
title_fullStr The cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers
title_full_unstemmed The cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers
title_short The cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers
title_sort cost and cost trajectory of whole‐genome analysis guiding treatment of patients with advanced cancers
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441418/
https://www.ncbi.nlm.nih.gov/pubmed/28546995
http://dx.doi.org/10.1002/mgg3.281
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