Stopping an ongoing clinical trial based on an interim analysis that shows poor outcomes, often referred to as a judgment of "futility", is a familiar feature in current clinical trials practice. Interim data can be misleading, and the implications of prematurely terminating a trial that should not stop are severe. It is thus critical that designs allowing futility stopping be planned and implemented carefully and cautiously. A recent Phase III development program for aducanumab in Alzheimer's disease was halted based on a pre-defined futility guideline, yet based upon updated data and closer examination, the terminated studies became the basis for a regulatory submission. Not surprisingly, this situation generated much controversy and discussion. It provides a good basis for illustrating important principles governing the planning and implementation of futility schemes.
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http://dx.doi.org/10.1007/s43441-023-00499-0 | DOI Listing |
Int J Mol Sci
November 2024
Laboratory of Cell Signaling, Institute of Medical Biology, Polish Academy of Sciences, 106 Lodowa St., 93-232 Lodz, Poland.
Application of the FOLFOX scheme to colorectal cancer (CRC) patients often results in the development of chemo-resistance, leading to therapy failure. This study aimed to develop a functional and easy-to-use algorithm to predict patients' response to FOLFOX treatment. Transcriptomic data of CRC patient's samples treated with FOLFOX were downloaded from the Gene Expression Omnibus database (GSE83129, GSE28702, GSE69657, GSE19860 and GSE41568).
View Article and Find Full Text PDFBMJ Open
November 2024
Clinical Pharmacology Department, Hospital Universitario La Paz, Madrid, Spain
Introduction: Genetic variations impact drug response, driving the need for personalised medicine through pre-emptive pharmacogenetic testing. However, the adoption of pre-emptive pharmacogenetic testing for commonly prescribed drugs, such as statins, outside of tertiary hospitals is limited due to a lack of pharmacoeconomic evidence to support widespread implementation by healthcare policy-makers. The Spanish Consortium for the Implementation of Pharmacogenetics (iPHARMGx Consortium) addresses this by developing a clinical trial master protocol that will govern multiple nested adaptive clinical trials that compare genotype-guided treatments to standard care in specific drug-gene-population triads, asses their cost-efficacy and identify novel biomarkers through advanced sequencing techniques.
View Article and Find Full Text PDFCell Metab
June 2024
Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland. Electronic address:
Futile cycles are biological phenomena where two opposing biochemical reactions run simultaneously, resulting in a net energy loss without appreciable productivity. Such a state was presumed to be a biological aberration and thus deemed an energy-wasting "futile" cycle. However, multiple pieces of evidence suggest that biological utilities emerge from futile cycles.
View Article and Find Full Text PDFJ R Soc Interface
June 2023
Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India.
With a view towards artificial cells, molecular communication systems, molecular multiagent systems and federated learning, we propose a novel reaction network scheme (termed the Baum-Welch (BW) reaction network) that learns parameters for hidden Markov models (HMMs). All variables including inputs and outputs are encoded by separate species. Each reaction in the scheme changes only one molecule of one species to one molecule of another.
View Article and Find Full Text PDFNeurology
June 2023
From the Department of Neurology (J.W.J.v.U., L.H.v.d.B., R.P.A.v.E.), UMC Utrecht Brain Center, and Biostatistics & Research Support (S.N., M.J.C.E., R.P.A.v.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands; Sorbonne Université (J.G.-B., C.M.-P., T.S.), INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, Site Pitié-Salpêtrière, Département R3S; APHP (G.B.), Groupe Hospitalier Paris 6, Hôpital Pitié-Salpêtrière, Département de Neurologie, Centre Référent SLA, France; Department of Neurology (M.E.C.), Massachusetts General Hospital, Boston; and Sheffield Institute for Translational Neuroscience (C.J.M.), University of Sheffield, United Kingdom.
Background And Objectives: Late-phase clinical trials for neurodegenerative diseases have a low probability of success. In this study, we introduce an algorithm that optimizes the planning of interim analyses for clinical trials in amyotrophic lateral sclerosis (ALS) to better use the time and resources available and minimize the exposure of patients to ineffective or harmful drugs.
Methods: A simulation-based algorithm was developed to determine the optimal interim analysis scheme by integrating prior knowledge about the success rate of ALS clinical trials with drug-specific information obtained in early-phase studies.
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