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Lookup NU author(s): Professor Alastair GreystokeORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2022 by American Society of Clinical Oncology. PURPOSE CONCORDE is the first phase I drug-radiotherapy (RT) combination platform in non-small-cell lung cancer, designed to assess multiple different DNA damage response inhibitors in combination with radical thoracic RT. Time-to-event continuous reassessment method (TiTE-CRM) methodology will inform dose escalation individually for each different DNA damage response inhibitor-RT combination and a randomized calibration arm will aid attribution of toxicities. We report in detail the novel statistical design and implementation of the TiTE-CRM in the CONCORDE trial. METHODS Statistical parameters were calibrated following recommendations by Lee and Cheung. Simulations were performed to assess the operating characteristics of the chosen models and were written using modified code from the R package dfcrm. RESULTS The results of the simulation work showed that the proposed statistical model setup can answer the research questions under a wide range of potential scenarios. The proposed models work well under varying levels of recruitment and with multiple adaptations to the original methodology. CONCLUSION The results demonstrate how TiTE-CRM methodology may be used in practice in a complex dose-finding platform study. We propose that this novel phase I design has potential to overcome some of the logistical barriers that for many years have prevented timely development of novel drug-RT combinations.
Author(s): Walker K, Hinsley S, Phillip R, Oughton JB, Murden G, Chalmers AJ, Faivre-Finn C, Greystoke A, Brown SR, Forster M, Franks K, Gilbert A, Hanna GG, Hannaway N, Harrow S, Haswell T, Hiley C, Krebs M, Salem A, Sebag-Montefiore D, Shaw P, Twelves C, Walls G, Young R
Publication type: Article
Publication status: Published
Journal: JCO Precision Oncology
Year: 2022
Volume: 6
Online publication date: 29/11/2022
Acceptance date: 04/10/2022
Date deposited: 05/04/2024
ISSN (electronic): 2473-4284
Publisher: American Society of Clinical Oncology
URL: https://doi.org/10.1200/PO.22.00133
DOI: 10.1200/PO.22.00133
Data Access Statement: The simulation data are available at https://github.com/rachelphillipctru/ concordesims.
PubMed id: 36446040
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