Literature DB >> 26286677

A Modeling and Simulation Framework for Adverse Events in Erlotinib-Treated Non-Small-Cell Lung Cancer Patients.

Ahmed Abbas Suleiman1, Sebastian Frechen2, Matthias Scheffler3, Thomas Zander3, Lucia Nogova3, Martin Kocher4, Ulrich Jaehde5, Jürgen Wolf3, Uwe Fuhr2.   

Abstract

Treatment with erlotinib, an epidermal growth factor receptor tyrosine kinase inhibitor used for treating non-small-cell lung cancer (NSCLC) and other cancers, is frequently associated with adverse events (AE). We present a modeling and simulation framework for the most common erlotinib-induced AE, rash, and diarrhea, providing insights into erlotinib toxicity. We used the framework to investigate the safety of high-dose erlotinib pulses proposed to limit acquired resistance while treating NSCLC. Continuous-time Markov models were developed using rash and diarrhea AE data from 39 NSCLC patients treated with erlotinib (150 mg/day). Exposure and different covariates were investigated as predictors of variability. Rash was also tested as a survival predictor. Models developed were used in a simulation analysis to compare the toxicities of different regimens, including the previously mentioned pulsed strategy. Probabilities of experiencing rash or diarrhea were found to be highest early during treatment. Rash, but not diarrhea, was positively correlated with erlotinib exposure. In contrast with some common understandings, radiotherapy decreased transitioning to higher rash grades by 81% (p < 0.01), and experiencing rash was not correlated with positive survival outcomes. Model simulations predicted that the proposed pulsed regimen (1600 mg/week + 50 mg/day remaining week days) results in a maximum of 20% of the patients suffering from severe rash throughout the treatment course in comparison to 12% when treated with standard dosing (150 mg/day). In conclusion, the framework demonstrated that radiotherapy attenuates erlotinib-induced rash, providing an opportunity to use radiotherapy and erlotinib together, and demonstrated the tolerability of high-dose pulses intended to address acquired resistance to erlotinib.

Entities:  

Keywords:  NSCLC; adverse events; erlotinib; modeling

Mesh:

Substances:

Year:  2015        PMID: 26286677      PMCID: PMC4627460          DOI: 10.1208/s12248-015-9815-8

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  27 in total

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3.  Clinical pharmacokinetics of erlotinib in patients with solid tumors and exposure-safety relationship in patients with non-small cell lung cancer.

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Journal:  Clin Pharmacol Ther       Date:  2006-08       Impact factor: 6.875

4.  Erlotinib-induced rash spares previously irradiated skin.

Authors:  Irene M Lips; Mariska E Y Koster; Ronald H Houwing; Ernest J A Vonk
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6.  Effects of pharmacokinetic processes and varied dosing schedules on the dynamics of acquired resistance to erlotinib in EGFR-mutant lung cancer.

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7.  Modeling NSCLC progression: recent advances and opportunities available.

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8.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

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9.  Pharmacokinetic-pharmacodynamic modeling of severity levels of extrapyramidal side effects with markov elements.

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10.  PKPD Modeling of Predictors for Adverse Effects and Overall Survival in Sunitinib-Treated Patients With GIST.

Authors:  E K Hansson; G Ma; M A Amantea; J French; P A Milligan; L E Friberg; M O Karlsson
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-12-04
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Authors:  A H M de Vries Schultink; A A Suleiman; J H M Schellens; J H Beijnen; A D R Huitema
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2.  Mathematical modeling identifies optimum lapatinib dosing schedules for the treatment of glioblastoma patients.

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Journal:  PLoS Comput Biol       Date:  2018-01-02       Impact factor: 4.475

3.  Optimization of Cancer Treatment in the Frequency Domain.

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4.  Evaluation of patient-reported severity of hand-foot syndrome under capecitabine using a Markov modeling approach.

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