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Methodologies for Quantitative Systems Pharmacology (QSP) Models: Design and Estimation

Autor: B, Ribba, H P, Grimm, B, Agoram, M R, Davies, K, Gadkar, S, Niederer, N, van Riel, J, Timmis, P H, van der Graaf

Publikováno v: CPT: Pharmacometrics & Systems Pharmacology

With the increased interest in the application of quantitative systems pharmacology (QSP) models within medicine research and development, there is an increasing need to formalize model development and verification aspects. In February 2016, a worksh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::305c2e71ad988451728d68c8a6c8ff8c
https://pubmed.ncbi.nlm.nih.gov/28585415

Prediction of Response to Temozolomide in Low-Grade Glioma Patients Based on Tumor Size Dynamics and Genetic Characteristics

Autor: P, Mazzocco, C, Barthélémy, G, Kaloshi, M, Lavielle, D, Ricard, A, Idbaih, D, Psimaras, M-A, Renard, A, Alentorn, J, Honnorat, J-Y, Delattre, F, Ducray, B, Ribba

Publikováno v: CPT: Pharmacometrics & Systems Pharmacology

Both molecular profiling of tumors and longitudinal tumor size data modeling are relevant strategies to predict cancer patients' response to treatment. Herein we propose a model of tumor growth inhibition integrating a tumor's genetic characteristics

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::ef82588000ce2db8a231c91280f5c4ac
https://pubmed.ncbi.nlm.nih.gov/26904387

The Use of Model-Based Tumor-Size Metrics to Predict Survival: Analysis of survival using model-based tumor-size metrics

Autor: Nicholas H. G. Holford, F Mentré, B Ribba

Publikováno v: Clinical Pharmacology and Therapeutics
Clinical Pharmacology and Therapeutics, American Society for Clinical Pharmacology and Therapeutics, 2014, 96 (2), pp.133-135. ⟨10.1038/clpt.2014.111⟩
Clinical Pharmacology and Therapeutics, 2014, 96 (2), pp.133-135. ⟨10.1038/clpt.2014.111⟩

International audience; Mixed-effect models are increasingly being used to analyze the time-course of tumor size and to identify tumor size metrics as predictors of overall survival in cancer patients. However, caution is needed interpreting the resu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d34e1b55415fcd61c33e7a86ad17c18
https://www.hal.inserm.fr/inserm-01084276/document