Literature DB >> 27214515

Genomic Alteration-Driven Clinical Trial Designs in Oncology.

Richard Simon.   

Abstract

The established molecular heterogeneity of human cancers necessitates the development of new paradigms to serve as a reliable basis for precision medicine. The assumptions underlying some of the conventional approaches to clinical trial design and analysis are no longer appropriate because of the molecular heterogeneity of tumors of a given primary site. This article reviews some clinical trial designs that have been actively applied in the codevelopment of therapeutics and predictive biomarkers to inform their use in oncology. These include the enrichment design, the basket design, and the umbrella design. Oncology leads most other therapeutic areas in development of personalized or precision medicine. Personalized or precision medicine is practiced daily in oncology on the basis of tumor genomics and may evolve in other therapeutic areas as it has in oncology, rather than according to inherited polymorphisms as so often imagined. Consequently, some of the clinical trial designs described here may serve as a possible blueprint for therapeutic development in fields other than oncology.

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Year:  2016        PMID: 27214515     DOI: 10.7326/M15-2413

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  16 in total

1.  Adaptive Clinical Trials: Advantages and Disadvantages of Various Adaptive Design Elements.

Authors:  Edward L Korn; Boris Freidlin
Journal:  J Natl Cancer Inst       Date:  2017-06-01       Impact factor: 13.506

Review 2.  Future cancer research priorities in the USA: a Lancet Oncology Commission.

Authors:  Elizabeth M Jaffee; Chi Van Dang; David B Agus; Brian M Alexander; Kenneth C Anderson; Alan Ashworth; Anna D Barker; Roshan Bastani; Sangeeta Bhatia; Jeffrey A Bluestone; Otis Brawley; Atul J Butte; Daniel G Coit; Nancy E Davidson; Mark Davis; Ronald A DePinho; Robert B Diasio; Giulio Draetta; A Lindsay Frazier; Andrew Futreal; Sam S Gambhir; Patricia A Ganz; Levi Garraway; Stanton Gerson; Sumit Gupta; James Heath; Ruth I Hoffman; Cliff Hudis; Chanita Hughes-Halbert; Ramy Ibrahim; Hossein Jadvar; Brian Kavanagh; Rick Kittles; Quynh-Thu Le; Scott M Lippman; David Mankoff; Elaine R Mardis; Deborah K Mayer; Kelly McMasters; Neal J Meropol; Beverly Mitchell; Peter Naredi; Dean Ornish; Timothy M Pawlik; Jeffrey Peppercorn; Martin G Pomper; Derek Raghavan; Christine Ritchie; Sally W Schwarz; Richard Sullivan; Richard Wahl; Jedd D Wolchok; Sandra L Wong; Alfred Yung
Journal:  Lancet Oncol       Date:  2017-10-31       Impact factor: 41.316

Review 3.  Biomarker-Driven Oncology Clinical Trials: Key Design Elements, Types, Features, and Practical Considerations.

Authors:  Chen Hu; James J Dignam
Journal:  JCO Precis Oncol       Date:  2019-10-24

Review 4.  Clinical Trials in the Genomic Era.

Authors:  Erel Joffe; Alexia Iasonos; Anas Younes
Journal:  J Clin Oncol       Date:  2017-02-13       Impact factor: 44.544

5.  Discussion of Trial Designs for Biomarker Identification and Validation Through the Use of Case Studies.

Authors:  Fang-Shu Ou; Ming-Wen An; Amy S Ruppert; Sumithra J Mandrekar
Journal:  JCO Precis Oncol       Date:  2019-10-24

6.  Estimation of the Percentage of US Patients With Cancer Who Benefit From Genome-Driven Oncology.

Authors:  John Marquart; Emerson Y Chen; Vinay Prasad
Journal:  JAMA Oncol       Date:  2018-08-01       Impact factor: 31.777

7.  Phase II trial design with growth modulation index as the primary endpoint.

Authors:  Jianrong Wu; Li Chen; Jing Wei; Heidi Weiss; Rachel W Miller; John L Villano
Journal:  Pharm Stat       Date:  2018-11-20       Impact factor: 1.234

Review 8.  Next generation sequencing: clinical applications in solid tumours.

Authors:  Leonhard Müllauer
Journal:  Memo       Date:  2017-11-03

9.  The Role of Next-Generation Sequencing in Enabling Personalized Oncology Therapy.

Authors:  C A Cummings; E Peters; L Lacroix; F Andre; M R Lackner
Journal:  Clin Transl Sci       Date:  2016-11-15       Impact factor: 4.689

10.  Supporting precision medicine by data mining across multi-disciplines: an integrative approach for generating comprehensive linkages between single nucleotide variants (SNVs) and drug-binding sites.

Authors:  Amrita Roy Choudhury; Tiejun Cheng; Lon Phan; Stephen H Bryant; Yanli Wang
Journal:  Bioinformatics       Date:  2017-06-01       Impact factor: 6.937

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