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Integrating precision cancer medicine into healthcare—policy, practice, and research challenges
Precision medicine (PM) can be defined as a predictive, preventive, personalized, and participatory healthcare service delivery model. Recent developments in molecular biology and information technology make PM a reality today through the use of massive amounts of genetic, ‘omics’, clinical, environ...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075982/ https://www.ncbi.nlm.nih.gov/pubmed/27776531 http://dx.doi.org/10.1186/s13073-016-0362-4 |
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author | Bertier, Gabrielle Carrot-Zhang, Jian Ragoussis, Vassilis Joly, Yann |
author_facet | Bertier, Gabrielle Carrot-Zhang, Jian Ragoussis, Vassilis Joly, Yann |
author_sort | Bertier, Gabrielle |
collection | PubMed |
description | Precision medicine (PM) can be defined as a predictive, preventive, personalized, and participatory healthcare service delivery model. Recent developments in molecular biology and information technology make PM a reality today through the use of massive amounts of genetic, ‘omics’, clinical, environmental, and lifestyle data. With cancer being one of the most prominent public health threats in developed countries, both the research community and governments have been investing significant time, money, and efforts in precision cancer medicine (PCM). Although PCM research is extremely promising, a number of hurdles still remain on the road to an optimal integration of standardized and evidence-based use of PCM in healthcare systems. Indeed, PCM raises a number of technical, organizational, ethical, legal, social, and economic challenges that have to be taken into account in the development of an appropriate health policy framework. Here, we highlight some of the more salient issues regarding the standards needed for integration of PCM into healthcare systems, and we identify fields where more research is needed before policy can be implemented. Key challenges include, but are not limited to, the creation of new standards for the collection, analysis, and sharing of samples and data from cancer patients, and the creation of new clinical trial designs with renewed endpoints. We believe that these issues need to be addressed as a matter of priority by public health policymakers in the coming years for a better integration of PCM into healthcare. |
format | Online Article Text |
id | pubmed-5075982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50759822016-10-28 Integrating precision cancer medicine into healthcare—policy, practice, and research challenges Bertier, Gabrielle Carrot-Zhang, Jian Ragoussis, Vassilis Joly, Yann Genome Med Opinion Precision medicine (PM) can be defined as a predictive, preventive, personalized, and participatory healthcare service delivery model. Recent developments in molecular biology and information technology make PM a reality today through the use of massive amounts of genetic, ‘omics’, clinical, environmental, and lifestyle data. With cancer being one of the most prominent public health threats in developed countries, both the research community and governments have been investing significant time, money, and efforts in precision cancer medicine (PCM). Although PCM research is extremely promising, a number of hurdles still remain on the road to an optimal integration of standardized and evidence-based use of PCM in healthcare systems. Indeed, PCM raises a number of technical, organizational, ethical, legal, social, and economic challenges that have to be taken into account in the development of an appropriate health policy framework. Here, we highlight some of the more salient issues regarding the standards needed for integration of PCM into healthcare systems, and we identify fields where more research is needed before policy can be implemented. Key challenges include, but are not limited to, the creation of new standards for the collection, analysis, and sharing of samples and data from cancer patients, and the creation of new clinical trial designs with renewed endpoints. We believe that these issues need to be addressed as a matter of priority by public health policymakers in the coming years for a better integration of PCM into healthcare. BioMed Central 2016-10-24 /pmc/articles/PMC5075982/ /pubmed/27776531 http://dx.doi.org/10.1186/s13073-016-0362-4 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Opinion Bertier, Gabrielle Carrot-Zhang, Jian Ragoussis, Vassilis Joly, Yann Integrating precision cancer medicine into healthcare—policy, practice, and research challenges |
title | Integrating precision cancer medicine into healthcare—policy, practice, and research challenges |
title_full | Integrating precision cancer medicine into healthcare—policy, practice, and research challenges |
title_fullStr | Integrating precision cancer medicine into healthcare—policy, practice, and research challenges |
title_full_unstemmed | Integrating precision cancer medicine into healthcare—policy, practice, and research challenges |
title_short | Integrating precision cancer medicine into healthcare—policy, practice, and research challenges |
title_sort | integrating precision cancer medicine into healthcare—policy, practice, and research challenges |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075982/ https://www.ncbi.nlm.nih.gov/pubmed/27776531 http://dx.doi.org/10.1186/s13073-016-0362-4 |
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