Literature DB >> 23511786

Model-based drug development in oncology: what's next?

R Bruno1, F Mercier, L Claret.   

Abstract

Model-based estimates of tumor growth inhibition (TGI) metrics have the potential to enhance learning in early (phase II) clinical studies. They can be used as end points and biomarkers to predict treatment effect on clinical outcome measures-e.g., overall survival (OS)-and support phase II study design, end-of-phase II decisions, and phase III planning and execution. Efforts should be made to assess models in simulating independent studies with treatments of varying mechanisms of action.

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Year:  2013        PMID: 23511786     DOI: 10.1038/clpt.2013.8

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  7 in total

1.  The Ontology of Clinical Research (OCRe): an informatics foundation for the science of clinical research.

Authors:  Ida Sim; Samson W Tu; Simona Carini; Harold P Lehmann; Brad H Pollock; Mor Peleg; Knut M Wittkowski
Journal:  J Biomed Inform       Date:  2013-11-13       Impact factor: 6.317

Review 2.  Mathematical models of the steps involved in the systemic delivery of a chemotherapeutic to a solid tumor: From circulation to survival.

Authors:  Martin B Ulmschneider; Peter C Searson
Journal:  J Control Release       Date:  2015-06-20       Impact factor: 9.776

3.  Models for change in tumour size, appearance of new lesions and survival probability in patients with advanced epithelial ovarian cancer.

Authors:  Chiara Zecchin; Ivelina Gueorguieva; Nathan H Enas; Lena E Friberg
Journal:  Br J Clin Pharmacol       Date:  2016-06-08       Impact factor: 4.335

Review 4.  Computational oncology--mathematical modelling of drug regimens for precision medicine.

Authors:  Dominique Barbolosi; Joseph Ciccolini; Bruno Lacarelle; Fabrice Barlési; Nicolas André
Journal:  Nat Rev Clin Oncol       Date:  2015-11-24       Impact factor: 66.675

5.  Integrated Simulation Framework for Toxicity, Dose Intensity, Disease Progression, and Cost Effectiveness for Castration-Resistant Prostate Cancer Treatment With Eribulin.

Authors:  J G C van Hasselt; A Gupta; Z Hussein; J H Beijnen; J H M Schellens; A D R Huitema
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-06-30

6.  Disease Progression/Clinical Outcome Model for Castration-Resistant Prostate Cancer in Patients Treated With Eribulin.

Authors:  J G C van Hasselt; A Gupta; Z Hussein; J H Beijnen; J H M Schellens; A D R Huitema
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-06-30

Review 7.  Population pharmacokinetic-pharmacodynamic modelling in oncology: a tool for predicting clinical response.

Authors:  Brendan C Bender; Emilie Schindler; Lena E Friberg
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

  7 in total

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