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To improve patients' access to safe and effective biological medicines, abbreviated licensure pathways for biosimilar and interchangeable biological products have been established in the US, Europe, and other countries around the world. The US Food and Drug Administration and European Medicines Agency have published various guidance documents on the development and approval of biosimilars, which recommend a "totality-of-the-evidence" approach with a stepwise process to demonstrate biosimilarity. The approach relies on comprehensive comparability studies ranging from analytical and nonclinical studies to clinical pharmacokinetic/pharmacodynamic (PK/PD) and efficacy studies. A clinical efficacy study may be necessary to address residual uncertainty about the biosimilarity of the proposed product to the reference product and support a demonstration that there are no clinically meaningful differences. In this article, we propose a statistical strategy that takes into account the similarity evidence from analytical assessments and PK studies in the design and analysis of the clinical efficacy study in order to address residual uncertainty and enhance statistical power and precision. We assume that if the proposed biosimilar product and the reference product are shown to be highly similar with respect to the analytical and PK parameters, then they should also be similar with respect to the efficacy parameters. We show that the proposed methods provide correct control of the type I error and improve the power and precision of the efficacy study upon the standard analysis that disregards the prior evidence. We confirm and illustrate the theoretical results through simulation studies based on the biosimilars development experience of many different products.

Introduction: The widespread adoption of electronic health records (EHR) provides a new opportunity to improve the efficiency of clinical research. The European EHR4CR (Electronic Health Records for Clinical Research) 4-year project has developed an innovative technological platform to enable the re-use of EHR data for clinical research. The objective of this cost-benefit assessment (CBA) is to assess the value of EHR4CR solutions compared to current practices, from the perspective of sponsors of clinical trials., Materials and Methods: A CBA model was developed using an advanced modeling approach. The costs of performing three clinical research scenarios (S) applied to a hypothetical Phase II or III oncology clinical trial workflow (reference case) were estimated under current and EHR4CR conditions, namely protocol feasibility assessment (S1), patient identification for recruitment (S2), and clinical study execution (S3). The potential benefits were calculated considering that the estimated reduction in actual person-time and costs for performing EHR4CR S1, S2, and S3 would accelerate time to market (TTM). Probabilistic sensitivity analyses using Monte Carlo simulations were conducted to manage uncertainty., Results: Should the estimated efficiency gains achieved with the EHR4CR platform translate into faster TTM, the expected benefits for the global pharmaceutical oncology sector were estimated at €161.5m (S1), €45.7m (S2), €204.5m (S1+S2), €1906m (S3), and up to €2121.8m (S1+S2+S3) when the scenarios were used sequentially., Conclusions: The results suggest that optimizing clinical trial design and execution with the EHR4CR platform would generate substantial added value for pharmaceutical industry, as main sponsors of clinical trials in Europe, and beyond., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Background: Since the first methodological publications on adaptive study design approaches in the 1990s, the application of these approaches in drug development has raised increasing interest among academia, industry and regulators. The European Medicines Agency (EMA) as well as the Food and Drug Administration (FDA) have published guidance documents addressing the potentials and limitations of adaptive designs in the regulatory context. Since there is limited experience in the implementation and interpretation of adaptive clinical trials, early interaction with regulators is recommended. The EMA offers such interactions through scientific advice and protocol assistance procedures., Methods: We performed a text search of scientific advice letters issued between 1 January 2007 and 8 May 2012 that contained relevant key terms. Letters containing questions related to adaptive clinical trials in phases II or III were selected for further analysis. From the selected letters, important characteristics of the proposed design and its context in the drug development program, as well as the responses of the Committee for Human Medicinal Products (CHMP)/Scientific Advice Working Party (SAWP), were extracted and categorized. For 41 more recent procedures (1 January 2009 to 8 May 2012), additional details of the trial design and the CHMP/SAWP responses were assessed. In addition, case studies are presented as examples., Results: Over a range of 5½ years, 59 scientific advices were identified that address adaptive study designs in phase II and phase III clinical trials. Almost all were proposed as confirmatory phase III or phase II/III studies. The most frequently proposed adaptation was sample size reassessment, followed by dropping of treatment arms and population enrichment. While 12 (20%) of the 59 proposals for an adaptive clinical trial were not accepted, the great majority of proposals were accepted (15, 25%) or conditionally accepted (32, 54%). In the more recent 41 procedures, the most frequent concerns raised by CHMP/SAWP were insufficient justifications of the adaptation strategy, type I error rate control and bias., Conclusions: For the majority of proposed adaptive clinical trials, an overall positive opinion was given albeit with critical comments. Type I error rate control, bias and the justification of the design are common issues raised by the CHMP/SAWP.

Objectives: In this pilot study we evaluated the feasibility of and methods for assessing the quality of life of long term survivors of European Organisation for Research and Treatment of Cancer (EORTC) phase III clinical trials. Here we report the results pertaining to the feasibility of conducting such research., Methods: In this cross-sectional study, we recruited long-term, disease-free survivors from two mature EORTC clinical trials in testicular and prostate cancer from centres in Northern and Southern Europe, and the United Kingdom (UK)., Results: A number of challenges were encountered in recruiting participating centres, obtaining medical ethical approval and in recruiting survivors and collecting the health-related quality of life (HRQoL) data in a timely manner. The efficiency with which the study could be conducted varied widely across centres and countries. Time to obtain medical ethical approval for the study ranged from 1.5 to 25 months. We encountered most problems with ethical approval in the UK, Italy and Belgium. In most cases, data collection was completed within 3 months (range 10 weeks-1 year). Completed questionnaires were obtained from 68% and 56%, respectively, of the testicular and prostate cancer survivors who were approached., Conclusions: HRQoL research among long-term survivors of EORTC phase III clinical trials is possible, but the process of ethical approval and data collection is a lengthy one. To minimise many of the logistical problems, long-term follow-up of patients should be an integral part of future clinical trials. Moreover, regulations governing medical ethical approval for clinical research within the EU should be carefully evaluated to facilitate long-term follow-up of cancer survivors in Europe., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Brain metastases (BM) occur in a significant proportion of cancer patients and are associated with considerable morbidity and poor prognosis. The trial design in BM patients is particularly challenging, as many disease and patient variables, statistical issues, and the selection of appropriate end-points have to be taken into account. During a meeting organised on behalf of the European Organisation for Research and Treatment of Cancer (EORTC), methodological aspects of trial design in BM were discussed. This paper summarises the issues and potential trial strategies discussed during this meeting and may provide some guidance for the design of trials in BM patients., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

The treatment policy of chronic myeloid leukemia (CML), particularly with tyrosine kinase inhibitors, has been influenced by several recent studies that were well designed and rapidly performed, but their interpretation is of some concern because different end points and methodologies were used. To understand and compare the results of the previous and future studies and to translate their conclusion into clinical practice, there is a need for common definitions and methods for analyses of CML studies. A panel of experts was appointed by the European LeukemiaNet with the aim of developing a set of definitions and recommendations to be used in design, analyses, and reporting of phase 3 clinical trials in this disease. This paper summarizes the consensus of the panel on events and major end points of interest in CML. It also focuses on specific issues concerning the intention-to-treat principle and longitudinal data analyses in the context of long-term follow-up. The panel proposes that future clinical trials follow these recommendations.

Background: The conduct of current cardiovascular outcome trials requires investigation of thousands of patients at hundreds of investigator sites. Such large trials are clinically and logistically highly demanding and often tend to finish with significant delays, consequently delaying patient access to new medicines., Purpose: To address this issue, we designed and implemented a novel approach - a Clinical Trial Educator (CTE) program - to accelerate enrollment in the Thrombin-Receptor Antagonist for Clinical Event Reduction (TRA•CER) trial. This article analyzes the effect of this approach on the study milestones: patient recruitment, site start-up time, and recruitment rate., Methods: Scientifically qualified and specifically trained CTEs regularly visited TRA•CER investigator sites in 18 European countries where they trained and educated investigators and site personnel to support them address recruitment challenges. Patient recruitment was assessed in absolute numbers and as recruitment rates, both in relation to CTE site visits., Results: CTEs performed 2184 visits at 373 European TRA•CER sites (out of 921 global sites). Of sites visited by a CTE, significantly less remained without enrolling any patient than of sites not visited by a CTE (5.9% vs. 15.3%; p < 0.001). Sites visited within 30 days after initiation showed a significantly shortened median time to recruitment of the first patient (28 vs. 59 days with visits ≤30 or >30 days after initiation; p < 0.001). Mean patient recruitment rates were significantly higher at visited than at not-visited sites (1.13 vs. 0.89 patients per site per month, p < 0.001) and significantly increased after the first CTE site visit (from 0.70 to 1.17 patients per site per month; p < 0.001). Finally, there were fewer low-recruiting sites and more high-recruiting sites among the CTE-visited sites compared to the not-visited sites, and the mean recruitment rate at high-recruiting sites visited by CTEs was significantly higher than at high-recruiting sites without CTE visits (2.07 vs. 1.64 patients per site per month; p < 0.01)., Limitations: The possibility for selection bias is inherent to this post hoc analysis of a nonrandomized data set. The European focus of the CTE program described here might add some geographical bias. Also, other activities such as investigator meetings conducted in parallel with CTE activities might have partly masked the results of our analysis. Finally, the analysis is limited to recruitment-related parameters, and the aspect of cost-effectiveness has not been quantitatively assessed., Conclusion: We found a significant positive association between CTE site visits and the assessed recruitment-related study milestones in the TRA•CER trial, and enrollment finished ahead of plan. We propose that a CTE program could efficiently accelerate enrollment in other clinical trials and therapeutic areas and could contribute to shortening patient access time to novel and potential lifesaving treatments in cardiovascular medicine and beyond.

Given the high failure rates and the increased costs of Phase III trials in oncology and the recent explosion of targeted agents, researchers are looking for better design strategies to try and optimise the use of available patients and financial resources. In this context, adaptive designs are seen as promising tools. We reviewed the different possible adaptations in the design of a clinical trial on the basis of the FDA guidance and summarized these. The pro and cons of adaptive designs are highlighted with a focus on one of the more 'controversial' adaptive designs, the sample size reassessment based on interim-effect size as proposed by Mehta and Pocock. While group sequential designs are preferable to such adaptive designs, both are difficult to implement in the case of rapid accrual and long time to event. Adaptive designs may have some potential in less favourable situations. However, the increase in overall power should be carefully weighted as well as the risk of a large negative trial. Adaptive designs need good, sometimes extensive, logistics. Some adaptive designs (e.g. group sequential designs) proved to be very useful and are already a part of the standard repertoire of trial designs used at European Organisation for Research and Treatment of Cancer (EORTC). Adaptive designs need strong measures to prevent bias that could otherwise become uncontrollable, particularly if interim results are leaked. This includes a prospective planning of adaptations. Finally, these studies currently have the potential to induce a heavy workload and cost linked to their regulatory management., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

Background: Haematopoietic stem cell transplantation (HSCT) has been tried in the last 15 years as a therapeutic option in patients with poor-prognosis autoimmune disease who do not respond to conventional treatments. Worldwide, more than 600 patients with multiple sclerosis (MS) have been treated with HSCT, most of them having been recruited in small, single-centre, phase 1-2 uncontrolled trials. Clinical and magnetic resonance imaging outcomes from case series reports or Registry-based analyses suggest that a major response is achieved in most patients; quality and duration of response are better in patients transplanted during the relapsing-remitting phase than in those in the secondary progressive stage., Objectives: An interdisciplinary group of neurologists and haematologists has been formed, following two international meetings supported by the European and American Blood and Marrow Transplantation Societies, for the purpose of discussing a controlled clinical trial, to be designed within the new scenarios of evolving MS treatments., Conclusions: Objectives of the trial, patient selection, transplant technology and outcome assessment were extensively discussed. The outcome of this process is summarized in the present paper, with the goal of establishing the background and advancing the development of a prospective, randomized, controlled multicentre trial to assess the clinical efficacy of HSCT for the treatment of highly active MS.

Background and Purpose: Since the failure of a number of phase III trials of neuroprotection in ischemic stroke, the need for smaller phase II studies with MRI surrogates has emerged. There is, however, little information available about sample size requirements for such phase II trials and rarely enough patients in single studies to make robust estimates. We have formed an international collaborative group to assemble larger datasets and from these have generated sample size tables for MRI-based infarct expansion as the outcome measure., Methods: Twelve centers from Australia, Europe, and North America contributed data from patients with hemispheric ischemic stroke. Infarct expansion was defined from initial diffusion-weighted images and later fluid-attenuated inversion recover or T2 images. Sample size estimates were calculated from data on infarct expansion ratios treated as dichotomous or continuous variables. A nonparametric approach was used because the distribution of infarct expansion was resistant to all forms of transformation., Results: As an example, a 20% absolute reduction in infarct expansion ratio (< or = 1), 80% power, and alpha = 0.05 requires 99 patients in each arm. To achieve an equivalent effect size with a continuous approach requires 61 patients., Conclusions: These tables will be useful in planning phase II trials of therapy with the use of MRI outcome measures. For positive studies, biologically plausible surrogates such as these may provide a rationale for proceeding to phase III trials.

For more than 30 years the European Organization for Research and Treatment for Cancer (EORTC) has conducted, co-ordinated, and stimulated research on the experimental and clinical bases of treatment of cancer and related problems. For more than a decade the EORTC has included quality of life as an outcome measure in some of its trials. The number of clinical studies that include QOL as an evaluation endpoint has increased rapidly in the last few years, and is still increasing steadily. This necessitated a careful and critical evaluation of procedures and results so far in order to generate appropriate guidelines and procedures for incorporating QOL issues in all stages of the clinical trial process, including protocol writing, data collection, data analysis, and reporting of results. This paper provides an overview of the types and the design of studies, data management of quality of life assessment, compliance, missing data and lessons learned during the past years with respect to QOL assessments in the EORTC studies.