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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.)

Although collaborations between academic institutions and industry have led to important scientific breakthroughs in the discovery stage of the pharmaceutical research and development process, the role of multistakeholder partnerships in the clinical development of anticancer medicines necessitates further clarification. The benefits associated with such cooperation could be undercut by the conflicting goals and motivations of the actors included. The aim of this review was to identify and characterize past, present, and future stakeholder partnership models in cancer clinical research through the lens of the European Organisation for Research and Treatment of Cancer (EORTC). Based on the analysis of several landmark EORTC trials performed across the span of three decades, four existing models of stakeholder cooperation were delineated and characterized. Additionally, a hypothetical fifth model representing a potential future collaborative framework for cancer clinical research was formulated. These models mainly differ in terms of the nature and responsibilities of the partners included and show that clinical research partnerships in oncology have evolved over time from small-scale academia-industry collaborations to complex interdisciplinary cooperation involving many different stakeholders., (© 2020 EORTC. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society of Clinical Pharmacology and Therapeutics.)