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Modeling timelines for translational science in cancer; the impact of technological maturation

This work examines translational science in cancer based on theories of innovation that posit a relationship between the maturation of technologies and their capacity to generate successful products. We examined the growth of technologies associated with 138 anticancer drugs using an analytical mode...

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Detalles Bibliográficos
Autores principales: McNamee, Laura M., Ledley, Fred D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367812/
https://www.ncbi.nlm.nih.gov/pubmed/28346525
http://dx.doi.org/10.1371/journal.pone.0174538
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author McNamee, Laura M.
Ledley, Fred D.
author_facet McNamee, Laura M.
Ledley, Fred D.
author_sort McNamee, Laura M.
collection PubMed
description This work examines translational science in cancer based on theories of innovation that posit a relationship between the maturation of technologies and their capacity to generate successful products. We examined the growth of technologies associated with 138 anticancer drugs using an analytical model that identifies the point of initiation of exponential growth and the point at which growth slows as the technology becomes established. Approval of targeted and biological products corresponded with technological maturation, with first approval averaging 14 years after the established point and 44 years after initiation of associated technologies. The lag in cancer drug approvals after the increases in cancer funding and dramatic scientific advances of the 1970s thus reflects predictable timelines of technology maturation. Analytical models of technological maturation may be used for technological forecasting to guide more efficient translation of scientific discoveries into cures.
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spelling pubmed-53678122017-04-06 Modeling timelines for translational science in cancer; the impact of technological maturation McNamee, Laura M. Ledley, Fred D. PLoS One Research Article This work examines translational science in cancer based on theories of innovation that posit a relationship between the maturation of technologies and their capacity to generate successful products. We examined the growth of technologies associated with 138 anticancer drugs using an analytical model that identifies the point of initiation of exponential growth and the point at which growth slows as the technology becomes established. Approval of targeted and biological products corresponded with technological maturation, with first approval averaging 14 years after the established point and 44 years after initiation of associated technologies. The lag in cancer drug approvals after the increases in cancer funding and dramatic scientific advances of the 1970s thus reflects predictable timelines of technology maturation. Analytical models of technological maturation may be used for technological forecasting to guide more efficient translation of scientific discoveries into cures. Public Library of Science 2017-03-27 /pmc/articles/PMC5367812/ /pubmed/28346525 http://dx.doi.org/10.1371/journal.pone.0174538 Text en © 2017 McNamee, Ledley http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
McNamee, Laura M.
Ledley, Fred D.
Modeling timelines for translational science in cancer; the impact of technological maturation
title Modeling timelines for translational science in cancer; the impact of technological maturation
title_full Modeling timelines for translational science in cancer; the impact of technological maturation
title_fullStr Modeling timelines for translational science in cancer; the impact of technological maturation
title_full_unstemmed Modeling timelines for translational science in cancer; the impact of technological maturation
title_short Modeling timelines for translational science in cancer; the impact of technological maturation
title_sort modeling timelines for translational science in cancer; the impact of technological maturation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367812/
https://www.ncbi.nlm.nih.gov/pubmed/28346525
http://dx.doi.org/10.1371/journal.pone.0174538
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