Literature DB >> 2118188

Selecting drug combinations based on total equivalent dose (dose intensity)

R Simon1, E L Korn.   

Abstract

We describe a mathematical model for selecting cytotoxic drugs and dosages for a combination regimen based on the antitumor activities of the drugs given as single agents and their organ-specific maximum tolerated doses. The regimen defined maximizes an approximate measure of antitumor effect subject to constraints on combined toxicity. This approach does not assume that the underlying dose-response curve is steep; nor does it assume that maximally dose-intense regimens are clinically appropriate in all situations. Whether the identified regimen is superior to standard treatments should be determined by prospective, randomized clinical trials. Determining which drugs to combine and in what proportions to combine them offers combinatorially huge numbers of possibilities. The method described here offers one approach to identifying combinations worthy of evaluation in prospective trials.

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Year:  1990        PMID: 2118188     DOI: 10.1093/jnci/82.18.1469

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  5 in total

1.  Selecting dose-intense drug combinations: metastatic breast cancer.

Authors:  E L Korn; R Simon
Journal:  Breast Cancer Res Treat       Date:  1992-03       Impact factor: 4.872

2.  Pharmacokinetic study of weekly administration dose of paclitaxel in patients with advanced or recurrent gastric cancer in Japan.

Authors:  Michiya Kobayashi; Koji Oba; Junichi Sakamoto; Ken Kondo; Naoki Nagata; Takehiro Okabayashi; Tsutomu Namikawa; Kazuhiro Hanazaki
Journal:  Gastric Cancer       Date:  2007-02-23       Impact factor: 7.370

3.  BAYESIAN PHASE I/II ADAPTIVELY RANDOMIZED ONCOLOGY TRIALS WITH COMBINED DRUGS.

Authors:  Ying Yuan; Guosheng Yin
Journal:  Ann Appl Stat       Date:  2011-01-01       Impact factor: 2.083

4.  Continual reassessment method for partial ordering.

Authors:  Nolan A Wages; Mark R Conaway; John O'Quigley
Journal:  Biometrics       Date:  2011-03-01       Impact factor: 2.571

5.  Optimal modeling for phase I design of a two drug combination-results of a phase I study of cisplatin with 9-nitrocamptothecin.

Authors:  S-J Lee; M Gounder; E H Rubin; Jong Ming Li; Zheming Gu; A Thalasila; E Loyer; A P Kudelka; C F Verschraegen
Journal:  Invest New Drugs       Date:  2008-07-04       Impact factor: 3.850

  5 in total

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