Literature DB >> 36267789

Challenges, opportunities, and innovative statistical designs for precision oncology trials.

Jun Yin1, Shihao Shen2, Qian Shi1.   

Abstract

In the era of precision oncology, improved understanding of tumor heterogeneity, particularly at the molecular level, has caused a shift from traditionally histology based cancer drug development to molecularly targeted drug development. The shift to the molecular view of cancer leads to increasingly small cancer populations for clinical trials which may be underpowered using traditional statistical designs. This paradigm shift lead to the recent developments of innovative clinical trial designs to address the challenges from precision oncology clinical trials. Hence, this paper reviewed and described innovative trial designs for precision oncology. Different strategies were discussed to account patient and treatment effect heterogeneity, including precision dose-finding designs that tailor the optimal dose to different patients at different time points, master protocol designs that match patients' molecular alterations with specific targeted agents, and adaptive enrichment designs that dynamically modify eligibility criteria and enroll patients that are most likely to benefit from the novel agents. Despite their superior performance, better understanding of practical barriers is needed to widen their implementation for precision oncology trials. Therefore, this paper also reviewed the practical challenges regarding the implementation of precision oncology clinical trials, along with the strength and weakness of various approaches of precision oncology clinical trial designs. 2022 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Clinical trial design; adaptive design; basket trial; platform trial; umbrella trial

Year:  2022        PMID: 36267789      PMCID: PMC9577796          DOI: 10.21037/atm-22-356

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  63 in total

1.  An adaptive seamless phase II/III design for oncology trials with subpopulation selection using correlated survival endpoints.

Authors:  Martin Jenkins; Andrew Stone; Christopher Jennison
Journal:  Pharm Stat       Date:  2010-12-08       Impact factor: 1.894

2.  Two-group time-to-event continual reassessment method using likelihood estimation.

Authors:  Amber Salter; John O'Quigley; Gary R Cutter; Inmaculada B Aban
Journal:  Contemp Clin Trials       Date:  2015-09-25       Impact factor: 2.226

3.  Robust exchangeability designs for early phase clinical trials with multiple strata.

Authors:  Beat Neuenschwander; Simon Wandel; Satrajit Roychoudhury; Stuart Bailey
Journal:  Pharm Stat       Date:  2015-12-18       Impact factor: 1.894

4.  The Evolution of Master Protocol Clinical Trial Designs: A Systematic Literature Review.

Authors:  Elias Laurin Meyer; Peter Mesenbrink; Cornelia Dunger-Baldauf; Hans-Jürgen Fülle; Ekkehard Glimm; Yuhan Li; Martin Posch; Franz König
Journal:  Clin Ther       Date:  2020-07-01       Impact factor: 3.393

5.  Phase I trials of molecularly targeted agents: should we pay more attention to late toxicities?

Authors:  Sophie Postel-Vinay; Carlos Gomez-Roca; L Rhoda Molife; Bhavesh Anghan; Antonin Levy; Ian Judson; Johann De Bono; Jean-Charles Soria; Stan Kaye; Xavier Paoletti
Journal:  J Clin Oncol       Date:  2011-03-28       Impact factor: 44.544

6.  A new basket trial design based on clustering of homogeneous subpopulations.

Authors:  Maja Krajewska; Geraldine Rauch
Journal:  J Biopharm Stat       Date:  2021-07-08       Impact factor: 1.051

7.  Larotrectinib in patients with TRK fusion-positive solid tumours: a pooled analysis of three phase 1/2 clinical trials.

Authors:  David S Hong; Steven G DuBois; Shivaani Kummar; Anna F Farago; Catherine M Albert; Kristoffer S Rohrberg; Cornelis M van Tilburg; Ramamoorthy Nagasubramanian; Jordan D Berlin; Noah Federman; Leo Mascarenhas; Birgit Geoerger; Afshin Dowlati; Alberto S Pappo; Stefan Bielack; François Doz; Ray McDermott; Jyoti D Patel; Russell J Schilder; Makoto Tahara; Stefan M Pfister; Olaf Witt; Marc Ladanyi; Erin R Rudzinski; Shivani Nanda; Barrett H Childs; Theodore W Laetsch; David M Hyman; Alexander Drilon
Journal:  Lancet Oncol       Date:  2020-02-24       Impact factor: 41.316

8.  Survival in BRAF V600-mutant advanced melanoma treated with vemurafenib.

Authors:  Jeffrey A Sosman; Kevin B Kim; Lynn Schuchter; Rene Gonzalez; Anna C Pavlick; Jeffrey S Weber; Grant A McArthur; Thomas E Hutson; Stergios J Moschos; Keith T Flaherty; Peter Hersey; Richard Kefford; Donald Lawrence; Igor Puzanov; Karl D Lewis; Ravi K Amaravadi; Bartosz Chmielowski; H Jeffrey Lawrence; Yu Shyr; Fei Ye; Jiang Li; Keith B Nolop; Richard J Lee; Andrew K Joe; Antoni Ribas
Journal:  N Engl J Med       Date:  2012-02-23       Impact factor: 91.245

9.  gBOIN-ET: The generalized Bayesian optimal interval design for optimal dose-finding accounting for ordinal graded efficacy and toxicity in early clinical trials.

Authors:  Kentaro Takeda; Satoshi Morita; Masataka Taguri
Journal:  Biom J       Date:  2022-05-13       Impact factor: 1.715

10.  Confirmatory adaptive designs with Bayesian decision tools for a targeted therapy in oncology.

Authors:  Werner Brannath; Emmanuel Zuber; Michael Branson; Frank Bretz; Paul Gallo; Martin Posch; Amy Racine-Poon
Journal:  Stat Med       Date:  2009-05-01       Impact factor: 2.373

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