Literature DB >> 28835379

Sequential, Multiple Assignment, Randomized Trial Designs in Immuno-oncology Research.

Kelley M Kidwell1, Michael A Postow2,3, Katherine S Panageas4.   

Abstract

Clinical trials investigating immune checkpoint inhibitors have led to the approval of anti-CTLA-4 (cytotoxic T-lymphocyte antigen-4), anti-PD-1 (programmed death-1), and anti-PD-L1 (PD-ligand 1) drugs by the FDA for numerous tumor types. In the treatment of metastatic melanoma, combinations of checkpoint inhibitors are more effective than single-agent inhibitors, but combination immunotherapy is associated with increased frequency and severity of toxicity. There are questions about the use of combination immunotherapy or single-agent anti-PD-1 as initial therapy and the number of doses of either approach required to sustain a response. In this article, we describe a novel use of sequential, multiple assignment, randomized trial (SMART) design to evaluate immune checkpoint inhibitors to find treatment regimens that adapt within an individual based on intermediate response and lead to the longest overall survival. We provide a hypothetical example SMART design for BRAF wild-type metastatic melanoma as a framework for investigating immunotherapy treatment regimens. We compare implementing a SMART design to implementing multiple traditional randomized clinical trials. We illustrate the benefits of a SMART over traditional trial designs and acknowledge the complexity of a SMART. SMART designs may be an optimal way to find treatment strategies that yield durable response, longer survival, and lower toxicity. Clin Cancer Res; 24(4); 730-6. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28835379      PMCID: PMC5963278          DOI: 10.1158/1078-0432.CCR-17-1355

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


  30 in total

1.  Estimation of survival distributions of treatment policies in two-stage randomization designs in clinical trials.

Authors:  Jared K Lunceford; Marie Davidian; Anastasios A Tsiatis
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2.  An experimental design for the development of adaptive treatment strategies.

Authors:  S A Murphy
Journal:  Stat Med       Date:  2005-05-30       Impact factor: 2.373

3.  Bayesian and frequentist two-stage treatment strategies based on sequential failure times subject to interval censoring.

Authors:  Peter F Thall; Leiko H Wooten; Christopher J Logothetis; Randall E Millikan; Nizar M Tannir
Journal:  Stat Med       Date:  2007-11-20       Impact factor: 2.373

4.  Marginal Mean Models for Dynamic Regimes.

Authors:  S A Murphy; M J van der Laan; J M Robins
Journal:  J Am Stat Assoc       Date:  2001-12-01       Impact factor: 5.033

5.  Experimental design and primary data analysis methods for comparing adaptive interventions.

Authors:  Inbal Nahum-Shani; Min Qian; Daniel Almirall; William E Pelham; Beth Gnagy; Gregory A Fabiano; James G Waxmonsky; Jihnhee Yu; Susan A Murphy
Journal:  Psychol Methods       Date:  2012-10-01

Review 6.  A "SMART" design for building individualized treatment sequences.

Authors:  H Lei; I Nahum-Shani; K Lynch; D Oslin; S A Murphy
Journal:  Annu Rev Clin Psychol       Date:  2011-12-12       Impact factor: 18.561

7.  Q-LEARNING WITH CENSORED DATA.

Authors:  Yair Goldberg; Michael R Kosorok
Journal:  Ann Stat       Date:  2012-02-01       Impact factor: 4.028

8.  Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial.

Authors:  Jonathan E Rosenberg; Jean Hoffman-Censits; Tom Powles; Michiel S van der Heijden; Arjun V Balar; Andrea Necchi; Nancy Dawson; Peter H O'Donnell; Ani Balmanoukian; Yohann Loriot; Sandy Srinivas; Margitta M Retz; Petros Grivas; Richard W Joseph; Matthew D Galsky; Mark T Fleming; Daniel P Petrylak; Jose Luis Perez-Gracia; Howard A Burris; Daniel Castellano; Christina Canil; Joaquim Bellmunt; Dean Bajorin; Dorothee Nickles; Richard Bourgon; Garrett M Frampton; Na Cui; Sanjeev Mariathasan; Oyewale Abidoye; Gregg D Fine; Robert Dreicer
Journal:  Lancet       Date:  2016-03-04       Impact factor: 79.321

9.  SMART designs in cancer research: Past, present, and future.

Authors:  Kelley M Kidwell
Journal:  Clin Trials       Date:  2014-04-14       Impact factor: 2.486

10.  Cox regression methods for two-stage randomization designs.

Authors:  Yuliya Lokhnygina; Jeffrey D Helterbrand
Journal:  Biometrics       Date:  2007-04-09       Impact factor: 2.571

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  3 in total

1.  Study protocol for a sequential multiple assignment randomized trial (SMART) to improve physical activity in employed women.

Authors:  Susan W Buchholz; JoEllen Wilbur; Shannon Halloway; Michael Schoeny; Tricia Johnson; Sachin Vispute; Spyros Kitsiou
Journal:  Contemp Clin Trials       Date:  2019-12-30       Impact factor: 2.226

2.  Pilot Study of a Multilevel Mobile Health App for Substance Use, Sexual Risk Behaviors, and Testing for Sexually Transmitted Infections and HIV Among Youth: Randomized Controlled Trial.

Authors:  David Cordova; Jaime Munoz-Velazquez; Frania Mendoza Lua; Kathryn Fessler; Sydni Warner; Jorge Delva; Nicole Adelman; Angela Fernandez; Jose Bauermeister
Journal:  JMIR Mhealth Uhealth       Date:  2020-03-17       Impact factor: 4.773

Review 3.  Quantitative Evidence Synthesis Methods for the Assessment of the Effectiveness of Treatment Sequences for Clinical and Economic Decision Making: A Review and Taxonomy of Simplifying Assumptions.

Authors:  Ruth A Lewis; Dyfrig Hughes; Alex J Sutton; Clare Wilkinson
Journal:  Pharmacoeconomics       Date:  2020-11-26       Impact factor: 4.981

  3 in total

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