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An appraisal of drug development timelines in the Era of precision oncology
The effects of incorporating a biomarker-based (personalized or precision) selection strategy on drug development timelines for new oncology drugs merit investigation. Here we accessed documents from the Food and Drug Administration (FDA) database for anticancer agents approved between 09/1998 and 0...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288167/ https://www.ncbi.nlm.nih.gov/pubmed/27419632 http://dx.doi.org/10.18632/oncotarget.10588 |
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author | Jardim, Denis Leonardo Schwaederle, Maria Hong, David S. Kurzrock, Razelle |
author_facet | Jardim, Denis Leonardo Schwaederle, Maria Hong, David S. Kurzrock, Razelle |
author_sort | Jardim, Denis Leonardo |
collection | PubMed |
description | The effects of incorporating a biomarker-based (personalized or precision) selection strategy on drug development timelines for new oncology drugs merit investigation. Here we accessed documents from the Food and Drug Administration (FDA) database for anticancer agents approved between 09/1998 and 07/2014 to compare drugs developed with and without a personalized strategy. Sixty-three drugs were included (28 [44%] personalized and 35 [56%] non-personalized). No differences in access to FDA-expedited programs were observed between personalized and non-personalized drugs. A personalized approach for drug development was associated with faster clinical development (Investigational New Drug [IND] to New Drug Application [NDA] submission; median = 58.8 months [95% CI 53.8–81.8] vs. 93.5 months [95% CI 73.9–112.9], P =.001), but a similar approval time (NDA submission to approval; median=6.0 months [95% CI 5.5–8.4] vs. 6.1 months [95% CI 5.9–8.3], P = .756) compared to a non-personalized strategy. In the multivariate model, class of drug stratified by personalized status (targeted personalized vs. targeted non-personalized vs. cytotoxic) was the only independent factor associated with faster total time of clinical drug development (clinical plus approval phase, median = 64.6 vs 87.1 vs. 112.7 months [cytotoxic], P = .038). Response rates (RR) in early trials were positively correlated with RR in registration trials (r = 0.63, P = <.001), and inversely associated with total time of drug development (r = −0.29, P = .049). In conclusion, targeted agents were developed faster than cytotoxic agents. Shorter times to approval were associated, in multivariate analysis, with a biomarker-based clinical development strategy. |
format | Online Article Text |
id | pubmed-5288167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-52881672017-02-07 An appraisal of drug development timelines in the Era of precision oncology Jardim, Denis Leonardo Schwaederle, Maria Hong, David S. Kurzrock, Razelle Oncotarget Research Paper The effects of incorporating a biomarker-based (personalized or precision) selection strategy on drug development timelines for new oncology drugs merit investigation. Here we accessed documents from the Food and Drug Administration (FDA) database for anticancer agents approved between 09/1998 and 07/2014 to compare drugs developed with and without a personalized strategy. Sixty-three drugs were included (28 [44%] personalized and 35 [56%] non-personalized). No differences in access to FDA-expedited programs were observed between personalized and non-personalized drugs. A personalized approach for drug development was associated with faster clinical development (Investigational New Drug [IND] to New Drug Application [NDA] submission; median = 58.8 months [95% CI 53.8–81.8] vs. 93.5 months [95% CI 73.9–112.9], P =.001), but a similar approval time (NDA submission to approval; median=6.0 months [95% CI 5.5–8.4] vs. 6.1 months [95% CI 5.9–8.3], P = .756) compared to a non-personalized strategy. In the multivariate model, class of drug stratified by personalized status (targeted personalized vs. targeted non-personalized vs. cytotoxic) was the only independent factor associated with faster total time of clinical drug development (clinical plus approval phase, median = 64.6 vs 87.1 vs. 112.7 months [cytotoxic], P = .038). Response rates (RR) in early trials were positively correlated with RR in registration trials (r = 0.63, P = <.001), and inversely associated with total time of drug development (r = −0.29, P = .049). In conclusion, targeted agents were developed faster than cytotoxic agents. Shorter times to approval were associated, in multivariate analysis, with a biomarker-based clinical development strategy. Impact Journals LLC 2016-07-13 /pmc/articles/PMC5288167/ /pubmed/27419632 http://dx.doi.org/10.18632/oncotarget.10588 Text en Copyright: © 2016 Jardim et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Jardim, Denis Leonardo Schwaederle, Maria Hong, David S. Kurzrock, Razelle An appraisal of drug development timelines in the Era of precision oncology |
title | An appraisal of drug development timelines in the Era of precision oncology |
title_full | An appraisal of drug development timelines in the Era of precision oncology |
title_fullStr | An appraisal of drug development timelines in the Era of precision oncology |
title_full_unstemmed | An appraisal of drug development timelines in the Era of precision oncology |
title_short | An appraisal of drug development timelines in the Era of precision oncology |
title_sort | appraisal of drug development timelines in the era of precision oncology |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288167/ https://www.ncbi.nlm.nih.gov/pubmed/27419632 http://dx.doi.org/10.18632/oncotarget.10588 |
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