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The emergence of the precision medicine paradigm in oncology has led to increasing interest in the integration of real-world data (RWD) into cancer clinical research. As sources of real-world evidence (RWE), such data could potentially help address the uncertainties that surround the adoption of novel anticancer therapies into the clinic following their investigation in clinical trials. At present, RWE-generating studies which investigate antitumour interventions seem to primarily focus on collecting and analysing observational RWD, typically forgoing the use of randomisation despite its methodological benefits. This is appropriate in situations where randomised controlled trials (RCTs) are not feasible and non-randomised RWD analyses can offer valuable insights. Nevertheless, depending on how they are designed, RCTs have the potential to produce strong and actionable RWE themselves. The choice of which methodology to employ for RWD studies should be guided by the nature of the research question they are intended to answer. Here, we attempt to define some of the questions that do not necessarily require the conduct of RCTs. Moreover, we outline the strategy of the European Organisation for Research and Treatment of Cancer (EORTC) to contribute to the generation of robust and high-quality RWE by prioritising the execution of pragmatic trials and studies set up according to the trials-within-cohorts approach. If treatment allocation cannot be left up to random chance due to practical or ethical concerns, the EORTC will consider undertaking observational RWD research based on the target trial principle. New EORTC-sponsored RCTs may also feature concurrent prospective cohorts composed of off-trial patients., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: R.S.: Nothing to declare. M.V.H.: Nothing to declare. J.B.: Nothing to declare. C.M.B.: Nothing to declare. J.J.C.: Nothing to declare. A.D.: I have received institutional research funding from Janssen and IQVIA, speaker honoraria from Janssen and Medtronic, and am founder, shareholder and employee of Medical Data Works B.V. E.A.E.: Nothing to declare. A.F.: Nothing to declare. A.G.: Nothing to declare. M.A.H.: My research is supported by funding from NIH, the US Veterans Administration, and PCORI. I am a consultant for Cytel, data science adviser for ProPublica, and member of the scientific advisory board of ADIA Lab. None of these interests or relationships have influenced my contribution to this paper. F.H.: I report that a party related to me is employed by Janssen-Cilag GmbH as principal data scientist. P.O.: I have performed consultancy work for AAA, Bayer, Curium, MSD, Janssen and have received research grants from Bayer. P.S.: I have had advisory relationships with Merck-Serono, Servier, and Merck Sharp & Dohme Corp in the last three years. H.M.V.: Nothing to declare. M.W.: I have received research grants from Quercis and Versameb, and honoraria for lectures or advisory board participation or consulting from Bayer, Curevac, Medac, Novartis, Novocure, Orbus, Philogen, Roche and Sandoz. R.W.: Nothing to declare. D.L.: I am member of the EMA Management Board, member of the EMA Health Care Professionals Working Party and of the EMA Healthcare Professionals Policy Officers’ Group, and co-chair of the EMA Cancer Medicines Forum. W.T.V.D.G.: I have performed advisory work for SpringWorks, PTC Therapeutics, Agenus and received research funding from Eli Lilly, all fees going to the institute., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: Treatment optimisation studies (TOSs) are clinical trials which aim to tackle research questions that are often left unaddressed within the current drug development paradigm due to a lack of financial and regulatory incentives to undertake them. Examples include comparative effectiveness, therapeutic sequencing and dose de-escalation studies. Trials of this nature have historically been primarily carried out by academic institutions and not-for-profit organisations such as the European Organisation for Research and Treatment of Cancer (EORTC)., Objectives: Our objective was to conduct an in-depth analysis of the breast, lung and colorectal cancer TOSs that have been performed by the EORTC in the past four decades., Methods: We searched the EORTC clinical trials database for relevant studies and subsequently analysed them based on a number of predefined criteria relating to their design, organisation and scientific impact., Results: The 113 EORTC TOSs examined in this analysis were mainly standard-sized, international, multicentre phase III trials using a relatively simple, randomised, open-label design and comparing pharmacological combination regimens against standard-of-care treatments in terms of their potential to improve overall survival of patients with cancer. Although they were typically financially and/or materially supported by the industry, their legal sponsor was nearly always an independent party that did not benefit monetarily from their outcomes. If meaningful findings were obtained, their results, regardless of whether positive or negative, were published in high-impact journals, and the corresponding articles usually received a considerable number of citations., Conclusions: Our analysis provides an empirical framework for setting up future TOSs based on the EORTC experience in oncology., Competing Interests: Conflict of interest statement The authors declare no competing interests., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)