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Publication Detail
RAMPART: A model for a regulatory-ready academic-led phase III trial in the adjuvant renal cell carcinoma setting
  • Publication Type:
    Journal article
  • Authors:
    Meade A, Oza B, Frangou E, Smith B, Bryant H, Kaplan R, Choodari-Oskooei B, Powles T, Stewart GD, Albiges L, Bex A, Choueiri TK, Davis ID, Eisen T, Fielding A, Harrison DJ, McWhirter A, Mulhere S, Nathan P, Rini B, Ritchie A, Scovell S, Shakeshaft C, Stockler MR, Thorogood N, Larkin J, Parmar MKB
  • Publisher:
    Elsevier BV
  • Publication date:
    01/09/2021
  • Journal:
    Contemporary Clinical Trials
  • Volume:
    108
  • Article number:
    106481
  • Status:
    Published
  • Print ISSN:
    1551-7144
  • Language:
    English
  • Notes:
    © 2021 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Abstract
The development of therapeutics in oncology is a highly active research area for the pharmaceutical and biotechnology industries, but also has a strong academic base. Many new agents have been developed in recent years, most with specific biological targets. This has mandated the need to look at different ways to streamline the evaluation of new agents. One solution has been the development of adaptive trial designs that allow the evaluation of multiple agents, concentrating on the most promising agents while screening out those which are unlikely to benefit patients. Another way forward has been the growth of partnerships between academia and industry with the shared goal of designing and conducting high quality clinical trials which answer important clinical questions as efficiently as possible. The RAMPART trial (NCT03288532) brings together both of these processes in an attempt to improve outcomes for patients with locally advanced renal cell carcinoma (RCC), where no globally acceptable adjuvant strategy after nephrectomy currently exist. RAMPART is led by the MRC CTU at University College London (UCL), in collaboration with other international academic groups and industry. We aim to facilitate the use of data from RAMPART, (dependent on outcomes), for a future regulatory submission that will extend the license of the agents being investigated. We share our experience in order to lay the foundations for an effective trial design and conduct framework and to guide others who may be considering similar collaborations.
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