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

ABSTRACT: 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.

SUBMITTER: McNamee LM

PROVIDER: S-EPMC5367812 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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

McNamee Laura M LM Ledley Fred D FD

PloS one 20170327 3

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 wit ...[more]

PMID: 28346525

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Project description:Increasing recognition of the complexity of environmental problems and the need to understand social processes and human values is leading environmental management agencies in many nations, including the USA, to integrate more research from the social sciences through the inclusion of social scientists on interdisciplinary teams. For this study we conducted focus groups at three research laboratories within the U.S. Environmental Protection Agency's Office of Research and Development to better understand how inclusion of social sciences influenced the research process and outcomes, and the barriers to and facilitators of integration. The focus groups identified effects on the research process including improved problem framing, the introduction of new methodologies, and greater stakeholder and public inclusion, while research outcomes included the inclusion or refinement of social and environmental perspectives and systems thinking, increased translatability of research, and new partnerships. Barriers identified included lack of familiarity with social sciences which affected perceptions of social sciences and organizational capacity to absorb and apply social science expertise. Facilitators included receptivity of team members, intentional communication strategies, and project structures and organizational commitment that support interdisciplinary work. Finding a key barrier to be lack of clarity about the different roles social sciences play in translational research, we present a conceptual model defining the roles and contributions of social scientists that clarifies the distinction between "integration" of social sciences in research and "application" of skills and knowledge from the social sciences which play distinct but equally important roles in translational research approaches and solutions-driven research. These insights on the ways social sciences contribute to translational research efforts advance integration of social and natural sciences in environmental science research, particularly in applied contexts.

Dataset Information

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

Publications

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

Similar Datasets

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