Literature DB >> 30665053

Innovation in oncology clinical trial design.

J Verweij1, H R Hendriks2, H Zwierzina3.   

Abstract

Progress in and better understanding of cancer biology causes a shift in cancer drug development: away from the evaluation of drugs in large tumour histology defined patient populations towards targeted agents in increasingly heterogeneous molecularly defined subpopulations. This requires novel approaches in clinical trial design by academia and industry, and development of new assessment tools by regulatory authorities. Pharmaceutical industry is developing new targeted agents generating many clinical studies, including target combinations. This requires improved operational efficiency by development of innovative trial designs, strategies for early-stage decision making and early selection of candidate drugs with a high likelihood of success. In addition, patient awareness and ethical considerations necessitate that agents will be rapidly available to patients. Regulatory Authorities such as the European Medicine Agency and national agencies recognise that these changes require a different attitude towards benefit-risk analysis for drug approval. The gold standard of randomised confirmatory Phase III trials is not always ethical or feasible when developing drugs for treatment of small cancer populations. Alternative strategies comprise accelerated approval via conditional marketing approval, which can be granted in the EU based on small non-randomised Phase II trials. The paper describes innovative trial designs with their pros and cons and efforts of pharmaceutical industry and regulatory authorities to deal with the paradigm shift. Furthermore, all stakeholders should continue to share their experiences and discuss problems in order to understand the position and concerns of the other stakeholders to learn from each other and to progress the field of novel oncology clinical trial design.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drug development; Drug regulation; Estimand framework; Innovative clinical trial design; Oncology; Precision medicine

Mesh:

Substances:

Year:  2019        PMID: 30665053     DOI: 10.1016/j.ctrv.2019.01.001

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  12 in total

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8.  Impact of limited sample size and follow-up on single event survival extrapolation for health technology assessment: a simulation study.

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9.  Publication Bias in Gastrointestinal Oncology Trials Performed over the Past Decade.

Authors:  Gabrielle W Peters; Weiwei Tao; Wei Wei; Joseph A Miccio; Krishan R Jethwa; Michael Cecchini; Kimberly L Johung
Journal:  Oncologist       Date:  2021-03-31

10.  Analysis of the WHO ICTRP for novel coronavirus clinical trial registrations.

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Journal:  Medicine (Baltimore)       Date:  2020-10-23       Impact factor: 1.889

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