Literature DB >> 28921641

Pharmacokinetic-Guided Dosing of New Oral Cancer Agents.

Catherine J Lucas1, Jennifer H Martin1.   

Abstract

Generally, licensed drug-dosing recommendations for chemotherapy are based on results from clinical trials in which subjects are usually of relatively normal body size, middle-aged, and are relatively racially homogeneous, with minimal comorbidity and specific tumor characteristics. Very few nontrial patients meet these characteristics, resulting in clinical practice having to extrapolate dosing recommendations to the specific patient. There is insufficient research on the impact of obesity-associated physiological changes prevalent in patients with common cancers on standard pharmacokinetic and pharmacodynamic parameters. Yet quantifying the influence of obesity on the pharmacology of chemotherapy is vital, as dosing inappropriate for body composition (ie, flat dosing or mg/kg based on total body weight) may increase the risk of adverse events and reduce clinical effectiveness. Unfortunately, there are few cancer guidelines to aid clinicians in selecting the optimal dose in the obese-even recent guidelines are based predominantly on clinical opinion/current practice in treating obese patients, rather than evidence. Data in many other vulnerable groups, for example, those with significant comorbidity and older patients, are also scarce. Because of the known limitations of body surface area-guided dosing, therapeutic drug monitoring or pharmacokinetic-guided dosing, which predicts an individual's exposure, has increasingly been shown to be a powerful tool in cancer therapy. Used appropriately, it can adjust for differences in pharmacokinetic parameters not considered when body size-based dosing or "one dose fits all" is used. This review will focus predominantly on the rationale for pharmacokinetic-guided dosing of the newer oral molecularly targeted antineoplastics in people whose drug exposure is not predicted by their physiology or body composition.
© 2017, The American College of Clinical Pharmacology.

Entities:  

Keywords:  cancer; drug monitoring; oral chemotherapy; personalized medicine

Mesh:

Substances:

Year:  2017        PMID: 28921641     DOI: 10.1002/jcph.937

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  8 in total

Review 1.  Immune checkpoint blockade in solid organ tumours: Choice, dose and predictors of response.

Authors:  Vishal Navani; Moira C Graves; Nikola A Bowden; Andre Van Der Westhuizen
Journal:  Br J Clin Pharmacol       Date:  2020-06-05       Impact factor: 4.335

Review 2.  The rationale of dose-response curves in selecting cancer drug dosing.

Authors:  Jennifer H Martin; Simon Dimmitt
Journal:  Br J Clin Pharmacol       Date:  2019-06-20       Impact factor: 4.335

3.  Melanoma: An immunotherapy journey from bench to bedside.

Authors:  Vishal Navani; Moira C Graves; Hiren Mandaliya; Martin Hong; Andre van der Westhuizen; Jennifer Martin; Nikola A Bowden
Journal:  Cancer Treat Res       Date:  2022

4.  Relevance of Therapeutic Drug Monitoring of Tyrosine Kinase Inhibitors in Routine Clinical Practice: A Pilot Study.

Authors:  Vanesa Escudero-Ortiz; Vanessa Domínguez-Leñero; Ana Catalán-Latorre; Joseba Rebollo-Liceaga; Manuel Sureda
Journal:  Pharmaceutics       Date:  2022-06-08       Impact factor: 6.525

5.  Relationship between vemurafenib plasma concentrations and survival outcomes in patients with advanced melanoma.

Authors:  Ashley M Hopkins; Michael J Sorich; Ganessan Kichenadasse; Jim Henry Hughes; John O Miners; Arduino A Mangoni; Andrew Rowland
Journal:  Cancer Chemother Pharmacol       Date:  2019-11-30       Impact factor: 3.333

6.  Intrinsic and Extrinsic Pharmacokinetic Variability of Small Molecule Targeted Cancer Therapy.

Authors:  Eric Reyner; Bert Lum; Jing Jing; Matts Kagedal; Joseph A Ware; Leslie J Dickmann
Journal:  Clin Transl Sci       Date:  2019-12-12       Impact factor: 4.689

7.  Simultaneous and Rapid Determination of Six Tyrosine Kinase Inhibitors in Patients with Non-Small Cell Lung Cancer Using HPLC-MS/MS.

Authors:  Yanping Liu; Hua Liu; Zhewei Xia; Zhipeng Wang; Yunlei Yun; Guanying Zhang; Lifeng Huang; Shouhong Gao; Wansheng Chen
Journal:  Int J Anal Chem       Date:  2021-09-16       Impact factor: 1.885

8.  Cost effectiveness of therapeutic drug monitoring for imatinib administration in chronic myeloid leukemia.

Authors:  Kibum Kim; Gwendolyn A McMillin; Philip S Bernard; Srinivas Tantravahi; Brandon S Walker; Robert L Schmidt
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

  8 in total

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