University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Opportunities for Quantitative Translational Modeling in Oncology

Yates, James W.T., Byrne, Helen, Chapman, Sonya C., Chen, Tao, Cucurull‐Sanchez, Lourdes, Delgado‐SanMartin, Juan, Di Veroli, Giovanni, Dovedi, Simon J., Dunlop, Carina, Jena, Rajesh , Jodrell, Duncan, Martin, Emma, Mercier, Francois, Ramos‐Montoya, Antonio, Struemper, Herbert and Vicini, Paolo (2020) Opportunities for Quantitative Translational Modeling in Oncology Clinical Pharmacology & Therapeutics, 108 (3). pp. 447-457.

Opportunities for Quantitative Translational Modeling in Oncology - VoR.pdf - Version of Record
Available under License Creative Commons Attribution.

Download (305kB) | Preview


A 2‐day meeting was held by members of the UK Quantitative Systems Pharmacology Network (http://www.qsp‐ in November 2018 on the topic of Translational Challenges in Oncology. Participants from a wide range of backgrounds were invited to discuss current and emerging modeling applications in nonclinical and clinical drug development, and to identify areas for improvement. This resulting perspective explores opportunities for impactful quantitative pharmacology approaches. Four key themes arose from the presentations and discussions that were held, leading to the following recommendations:

• Evaluate the predictivity and reproducibility of animal cancer models through precompetitive collaboration.

• Apply mechanism of action (MoA) based mechanistic models derived from nonclinical data to clinical trial data.

• Apply MoA reflective models across trial data sets to more robustly quantify the natural history of disease and response to differing interventions.

• Quantify more robustly the dose and concentration dependence of adverse events through mathematical modelling techniques and modified trial design.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
Yates, James W.T.
Byrne, Helen
Chapman, Sonya C.
Cucurull‐Sanchez, Lourdes
Delgado‐SanMartin, Juan
Di Veroli, Giovanni
Dovedi, Simon J.
Jena, Rajesh
Jodrell, Duncan
Martin, Emma
Mercier, Francois
Ramos‐Montoya, Antonio
Struemper, Herbert
Vicini, Paolo
Date : September 2020
DOI : 10.1002/cpt.1963
Copyright Disclaimer : © 2020 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Depositing User : Clive Harris
Date Deposited : 21 Aug 2020 14:44
Last Modified : 21 Aug 2020 14:44

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800