Literature DB >> 11173054

Optimizing drug regimens in cancer chemotherapy: a simulation study using a PK-PD model.

D Barbolosi1, A Iliadis.   

Abstract

In cancer chemotherapy, it is important to design treatment strategies for drug protocols that ensure a desired rate of tumor cell kill without overdosing the host. Mathematical modeling was used for optimization in which we minimize the end value of the tumor cells while limiting toxicity by always maintaining the white blood cell count beyond a limit. The optimal solution for this is a mixture of an initial bolus application of drug followed by no drug and then continuous infusion that keeps the normal cell population at its lower limit while decreasing the tumor cell population.

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Year:  2001        PMID: 11173054     DOI: 10.1016/s0010-4825(00)00032-9

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  13 in total

Review 1.  Mechanistic models for myelosuppression.

Authors:  Lena E Friberg; Mats O Karlsson
Journal:  Invest New Drugs       Date:  2003-05       Impact factor: 3.850

2.  Tackling the problems of tumour chemotherapy by optimal drug scheduling.

Authors:  Ambili Remesh
Journal:  J Clin Diagn Res       Date:  2013-05-31

3.  A spatial model of tumor-host interaction: application of chemotherapy.

Authors:  Peter Hinow; Philip Gerlee; Lisa J McCawley; Vito Quaranta; Madalina Ciobanu; Shizhen Wang; Jason M Graham; Bruce P Ayati; Jonathan Claridge; Kristin R Swanson; Mary Loveless; Alexander R A Anderson
Journal:  Math Biosci Eng       Date:  2009-07       Impact factor: 2.080

4.  Model-based approach to early predict prolonged high grade neutropenia in carboplatin-treated patients and guide G-CSF prophylactic treatment.

Authors:  Mélanie L Pastor; Céline M Laffont; Laurence Gladieff; Etienne Chatelut; Didier Concordet
Journal:  Pharm Res       Date:  2014-09-04       Impact factor: 4.200

Review 5.  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

6.  Computational modeling of tumor response to vascular-targeting therapies--part I: validation.

Authors:  Jana L Gevertz
Journal:  Comput Math Methods Med       Date:  2011-03-23       Impact factor: 2.238

7.  A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens-a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems.

Authors:  Xiangfang Li; Lijun Qian; Michale L Bittner; Edward R Dougherty
Journal:  Cancer Inform       Date:  2012-02-27

8.  Model-Based Tumor Growth Dynamics and Therapy Response in a Mouse Model of De Novo Carcinogenesis.

Authors:  Charalambos Loizides; Demetris Iacovides; Marios M Hadjiandreou; Gizem Rizki; Achilleas Achilleos; Katerina Strati; Georgios D Mitsis
Journal:  PLoS One       Date:  2015-12-09       Impact factor: 3.240

9.  Multiphysics and Multiscale Analysis for Chemotherapeutic Drug.

Authors:  Linan Zhang; Sung Youb Kim; Dongchoul Kim
Journal:  Biomed Res Int       Date:  2015-09-28       Impact factor: 3.411

10.  Frequency-Domain Response Analysis for Quantitative Systems Pharmacology Models.

Authors:  Pascal Schulthess; Teun M Post; James Yates; Piet H van der Graaf
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-11-28
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