Literature DB >> 24955703

Phase 1 trial design: is 3 + 3 the best?

Aaron R Hansen1, Donna M Graham, Gregory R Pond, Lillian L Siu.   

Abstract

BACKGROUND: Concerns have been recognized about the operating characteristics of the standard 3 + 3 dose-escalation design. Various innovative phase 1 trial designs have been proposed to address the issues and new challenges posed by molecularly targeted agents. However, in spite of these proposals, the conventional design is still the most widely utilized.
METHODS: A review of the literature of phase 1 trials and relevant statistical studies was performed.
RESULTS: Beyond statistical simulations, sparse clinical data exist to support or refute many of the shortcomings ascribed to the 3 + 3 rule method. Data from phase 1 trials demonstrate that traditional designs identified the correct dose and relevant toxicities with an acceptable level of precision in some instances; however, no single escalation method was proven superior in all circumstances.
CONCLUSIONS: Design selection should be guided by the principle of slow escalation in the face of toxicity and rapid dose increases in the setting of minimal or no adverse events. When the toxicity of a drug is uncertain or a narrow therapeutic window is suggested from preclinical testing, then a conservative 3 + 3 method is generally appropriate. However, if the therapeutic window is wide and the expected toxicity is low, then rapid escalation with a novel rule- or model-based design should be employed.

Entities:  

Mesh:

Year:  2014        PMID: 24955703     DOI: 10.1177/107327481402100304

Source DB:  PubMed          Journal:  Cancer Control        ISSN: 1073-2748            Impact factor:   3.302


  20 in total

1.  A Pilot Study of a Grape Seed Procyanidin Extract for Lung Cancer Chemoprevention.

Authors:  Jenny T Mao; Qing-Yi Lu; Bingye Xue; Patricia Neis; Felix D Zamora; Laurie Lundmark; Clifford Qualls; Larry Massie
Journal:  Cancer Prev Res (Phila)       Date:  2019-05-28

2.  Model-Based Adaptive Optimal Design (MBAOD) Improves Combination Dose Finding Designs: an Example in Oncology.

Authors:  Philippe B Pierrillas; Sylvain Fouliard; Marylore Chenel; Andrew C Hooker; Lena E Friberg; Mats O Karlsson
Journal:  AAPS J       Date:  2018-03-07       Impact factor: 4.009

3.  Safety and tolerability of transcranial direct current stimulation to stroke patients - A phase I current escalation study.

Authors:  Pratik Y Chhatbar; Rong Chen; Rachael Deardorff; Blair Dellenbach; Steven A Kautz; Mark S George; Wuwei Feng
Journal:  Brain Stimul       Date:  2017-02-27       Impact factor: 8.955

4.  From the Broad Phase II Trial to Precision Oncology: A Perspective on the Origins of Basket and Umbrella Clinical Trial Designs in Cancer Drug Development.

Authors:  Deborah B Doroshow; James H Doroshow
Journal:  Cancer J       Date:  2019 Jul/Aug       Impact factor: 3.360

5.  Designing phase I oncology dose escalation using dose-exposure-toxicity models as a complementary approach to model-based dose-toxicity models.

Authors:  Kristyn Pantoja; Shankar Lanke; Alain Munafo; Anja Victor; Christina Habermehl; Armin Schueler; Karthik Venkatakrishnan; Pascal Girard; Kosalaram Goteti
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-08-05

6.  A Bayesian adaptive design for cancer phase I trials using a flexible range of doses.

Authors:  Mourad Tighiouart; Galen Cook-Wiens; André Rogatko
Journal:  J Biopharm Stat       Date:  2017-10-06       Impact factor: 1.051

7.  Metabolism and pharmacokinetics characterization of metarrestin in multiple species.

Authors:  Elias C Padilha; Pranav Shah; Amy Q Wang; Marc D Singleton; Emma A Hughes; Dandan Li; Kelly A Rice; Kylie M Konrath; Samarjit Patnaik; Juan Marugan; Udo Rudloff; Xin Xu
Journal:  Cancer Chemother Pharmacol       Date:  2020-03-17       Impact factor: 3.333

Review 8.  The role of fMRI in drug development.

Authors:  Owen Carmichael; Adam J Schwarz; Christopher H Chatham; David Scott; Jessica A Turner; Jaymin Upadhyay; Alexandre Coimbra; James A Goodman; Richard Baumgartner; Brett A English; John W Apolzan; Preetham Shankapal; Keely R Hawkins
Journal:  Drug Discov Today       Date:  2017-11-15       Impact factor: 7.851

9.  Modeling adverse event counts in phase I clinical trials of a cytotoxic agent.

Authors:  Daniel G Muenz; Thomas M Braun; Jeremy Mg Taylor
Journal:  Clin Trials       Date:  2018-05-19       Impact factor: 2.486

10.  Operating characteristics are needed to properly evaluate the scientific validity of phase I protocols.

Authors:  Nolan A Wages; Bethany Jablonski Horton; Mark R Conaway; Gina R Petroni
Journal:  Contemp Clin Trials       Date:  2021-07-25       Impact factor: 2.261

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.