Literature DB >> 24056785

Evaluation of utility of pharmacokinetic studies in phase I trials of two oncology drugs.

Kehua Wu1, Larry House, Jacqueline Ramírez, Michael J Seminerio, Mark J Ratain.   

Abstract

PURPOSE: There are many phase I trials of oncology drug combinations, very few of which report clinically significant pharmacokinetic interactions. We hypothesized that the utility of such pharmacokinetic drug-drug interaction (DDI) studies is low in the absence of a mechanistic hypothesis. EXPERIMENTAL
DESIGN: We retrospectively reviewed 152 phase I (two drug) combination studies published between 2007 and 2011.
RESULTS: Only 28 (18%) studies had an implicit or explicit rationale, either inhibition/induction of a drug-metabolizing enzyme or transporter, cosubstrates for the same enzyme or transporter, potential for end-organ toxicity, or protein binding. Only 12 (8%) studies demonstrated a statistically significant DDI, on the basis of change in clearance (or area under the curve) of parent drug and/or active metabolite. There was a strong association between a rationale and a demonstrable drug interaction, as only 2% of studies without a rationale demonstrated a DDI, compared with 32% of studies with a rationale (Fisher exact test; P < 10(-6)).
CONCLUSION: DDI studies should not be routinely performed as part of phase I trials of oncology combinations.

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Year:  2013        PMID: 24056785      PMCID: PMC3832109          DOI: 10.1158/1078-0432.CCR-13-0597

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  9 in total

Review 1.  Drug interactions in oncology.

Authors:  Jos H Beijnen; Jan H M Schellens
Journal:  Lancet Oncol       Date:  2004-08       Impact factor: 41.316

2.  Drug-drug interaction potential of marketed oncology drugs: in vitro assessment of time-dependent cytochrome P450 inhibition, reactive metabolite formation and drug-drug interaction prediction.

Authors:  Jane R Kenny; Sophie Mukadam; Chenghong Zhang; Suzanne Tay; Carol Collins; Aleksandra Galetin; S Cyrus Khojasteh
Journal:  Pharm Res       Date:  2012-03-14       Impact factor: 4.200

3.  Drug-drug interaction prediction: a Bayesian meta-analysis approach.

Authors:  Lang Li; Menggang Yu; Raymond Chin; Aroonrut Lucksiri; David A Flockhart; Stephen D Hall
Journal:  Stat Med       Date:  2007-09-10       Impact factor: 2.373

4.  Potent mechanism-based inhibition of CYP3A4 by imatinib explains its liability to interact with CYP3A4 substrates.

Authors:  A M Filppula; J Laitila; P J Neuvonen; J T Backman
Journal:  Br J Pharmacol       Date:  2012-04       Impact factor: 8.739

Review 5.  Drug interactions in oncology: how common are they?

Authors:  R P Riechelmann; A Del Giglio
Journal:  Ann Oncol       Date:  2009-08-27       Impact factor: 32.976

Review 6.  Drug interactions in childhood cancer.

Authors:  Cyrine Haidar; Sima Jeha
Journal:  Lancet Oncol       Date:  2010-09-22       Impact factor: 41.316

7.  A new probabilistic rule for drug-dug interaction prediction.

Authors:  Jihao Zhou; Zhaohui Qin; Sara K Quinney; Seongho Kim; Zhiping Wang; Menggang Yu; Jenny Y Chien; Aroonrut Lucksiri; Stephen D Hall; Lang Li
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-01-21       Impact factor: 2.745

Review 8.  Drug interactions with the tyrosine kinase inhibitors imatinib, dasatinib, and nilotinib.

Authors:  Amina Haouala; Nicolas Widmer; Michel A Duchosal; Michael Montemurro; Thierry Buclin; Laurent A Decosterd
Journal:  Blood       Date:  2010-09-01       Impact factor: 22.113

9.  A phase I study of single-agent nilotinib or in combination with imatinib in patients with imatinib-resistant gastrointestinal stromal tumors.

Authors:  George D Demetri; Paolo G Casali; Jean-Yves Blay; Margaret von Mehren; Jeffrey A Morgan; Rossella Bertulli; Isabelle Ray-Coquard; Philippe Cassier; Monica Davey; Hossein Borghaei; Daniel Pink; Maria Debiec-Rychter; Wing Cheung; Stuart M Bailey; Maria Luisa Veronese; Annette Reichardt; Elena Fumagalli; Peter Reichardt
Journal:  Clin Cancer Res       Date:  2009-09-01       Impact factor: 12.531

  9 in total
  3 in total

Review 1.  Design of phase I combination trials: recommendations of the Clinical Trial Design Task Force of the NCI Investigational Drug Steering Committee.

Authors:  Channing J Paller; Penelope A Bradbury; S Percy Ivy; Lesley Seymour; Patricia M LoRusso; Laurence Baker; Larry Rubinstein; Erich Huang; Deborah Collyar; Susan Groshen; Steven Reeves; Lee M Ellis; Daniel J Sargent; Gary L Rosner; Michael L LeBlanc; Mark J Ratain
Journal:  Clin Cancer Res       Date:  2014-08-15       Impact factor: 12.531

Review 2.  Anti-cancer drug combinations approved by US FDA from 2011 to 2021: main design features of clinical trials and role of pharmacokinetics.

Authors:  Salvador Fudio; Alvaro Sellers; Laura Pérez Ramos; Beatriz Gil-Alberdi; Ali Zeaiter; Mikel Urroz; Antonio Carcas; Rubin Lubomirov
Journal:  Cancer Chemother Pharmacol       Date:  2022-08-27       Impact factor: 3.288

Review 3.  Metabolism-related pharmacokinetic drug-drug interactions with tyrosine kinase inhibitors: current understanding, challenges and recommendations.

Authors:  Yi Ling Teo; Han Kiat Ho; Alexandre Chan
Journal:  Br J Clin Pharmacol       Date:  2015-02       Impact factor: 4.335

  3 in total

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