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Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials

BACKGROUND: Our objective was to determine the correlation between preclinical toxicity found in animal models (mouse, rat, dog and monkey) and clinical toxicity reported in patients participating in Phase 1 oncology clinical trials. METHODS: We obtained from two major early-Phase clinical trial cen...

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Autores principales: Atkins, Johnique T., George, Goldy C., Hess, Kenneth, Marcelo-Lewis, Kathrina L., Yuan, Ying, Borthakur, Gautam, Khozin, Sean, LoRusso, Patricia, Hong, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652903/
https://www.ncbi.nlm.nih.gov/pubmed/32868897
http://dx.doi.org/10.1038/s41416-020-01033-x
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author Atkins, Johnique T.
George, Goldy C.
Hess, Kenneth
Marcelo-Lewis, Kathrina L.
Yuan, Ying
Borthakur, Gautam
Khozin, Sean
LoRusso, Patricia
Hong, David S.
author_facet Atkins, Johnique T.
George, Goldy C.
Hess, Kenneth
Marcelo-Lewis, Kathrina L.
Yuan, Ying
Borthakur, Gautam
Khozin, Sean
LoRusso, Patricia
Hong, David S.
author_sort Atkins, Johnique T.
collection PubMed
description BACKGROUND: Our objective was to determine the correlation between preclinical toxicity found in animal models (mouse, rat, dog and monkey) and clinical toxicity reported in patients participating in Phase 1 oncology clinical trials. METHODS: We obtained from two major early-Phase clinical trial centres, preclinical toxicities from investigational brochures and clinical toxicities from published Phase 1 trials for 108 drugs, including small molecules, biologics and conjugates. Toxicities were categorised according to Common Terminology Criteria for Adverse Events version 4.0. Human toxicities were also categorised based on their reported clinical grade (severity). Positive predictive values (PPV) and negative predictive values (NPV) were calculated to determine the probability that clinical studies would/would not show a particular toxicity category given that it was seen in preclinical toxicology analysis. Statistical analyses also included kappa statistics, and Matthews (MCC) and Spearman correlation coefficients. RESULTS: Overall, animal toxicity did not show strong correlation with human toxicity, with a median PPV of 0.65 and NPV of 0.50. Similar results were obtained based on kappa statistics and MCC. CONCLUSIONS: There is an urgent need to assess more novel approaches to the type and conduct of preclinical toxicity studies in an effort to provide better predictive value for human investigation.
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spelling pubmed-76529032021-09-01 Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials Atkins, Johnique T. George, Goldy C. Hess, Kenneth Marcelo-Lewis, Kathrina L. Yuan, Ying Borthakur, Gautam Khozin, Sean LoRusso, Patricia Hong, David S. Br J Cancer Article BACKGROUND: Our objective was to determine the correlation between preclinical toxicity found in animal models (mouse, rat, dog and monkey) and clinical toxicity reported in patients participating in Phase 1 oncology clinical trials. METHODS: We obtained from two major early-Phase clinical trial centres, preclinical toxicities from investigational brochures and clinical toxicities from published Phase 1 trials for 108 drugs, including small molecules, biologics and conjugates. Toxicities were categorised according to Common Terminology Criteria for Adverse Events version 4.0. Human toxicities were also categorised based on their reported clinical grade (severity). Positive predictive values (PPV) and negative predictive values (NPV) were calculated to determine the probability that clinical studies would/would not show a particular toxicity category given that it was seen in preclinical toxicology analysis. Statistical analyses also included kappa statistics, and Matthews (MCC) and Spearman correlation coefficients. RESULTS: Overall, animal toxicity did not show strong correlation with human toxicity, with a median PPV of 0.65 and NPV of 0.50. Similar results were obtained based on kappa statistics and MCC. CONCLUSIONS: There is an urgent need to assess more novel approaches to the type and conduct of preclinical toxicity studies in an effort to provide better predictive value for human investigation. Nature Publishing Group UK 2020-09-01 2020-11-10 /pmc/articles/PMC7652903/ /pubmed/32868897 http://dx.doi.org/10.1038/s41416-020-01033-x Text en © The Author(s), under exclusive licence to Cancer Research UK 2020 https://creativecommons.org/licenses/by/4.0/Note This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution 4.0 International (CC BY 4.0).
spellingShingle Article
Atkins, Johnique T.
George, Goldy C.
Hess, Kenneth
Marcelo-Lewis, Kathrina L.
Yuan, Ying
Borthakur, Gautam
Khozin, Sean
LoRusso, Patricia
Hong, David S.
Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials
title Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials
title_full Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials
title_fullStr Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials
title_full_unstemmed Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials
title_short Pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials
title_sort pre-clinical animal models are poor predictors of human toxicities in phase 1 oncology clinical trials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652903/
https://www.ncbi.nlm.nih.gov/pubmed/32868897
http://dx.doi.org/10.1038/s41416-020-01033-x
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