Increasing evidence suggests that some immunotherapy dosing regimens for patients with advanced cancer could result in overtreatment. Given the high costs of these agents, and important implications for quality of life and toxicity, new approaches are needed to identify and reduce unnecessary treatment. Conventional two-arm non-inferiority designs are inefficient in this context because they require large numbers of patients to explore a single alternative to the standard of care. Here, we discuss the potential problem of overtreatment with anti-PD-1 directed agents in general and introduce REFINE-Lung (NCT05085028), a UK multicentre phase 3 study of reduced frequency pembrolizumab in advanced non-small-cell lung cancer. REFINE-Lung uses a novel multi-arm multi-stage response over continuous interventions (MAMS-ROCI) design to determine the optimal dose frequency of pembrolizumab. Along with a similarly designed basket study of patients with renal cancer and melanoma, REFINE-Lung and the MAMS-ROCI design could contribute to practice-changing advances in patient care and form a template for future immunotherapy optimisation studies across cancer types and indications. This new trial design is applicable to many new or existing agents for which optimisation of dose, frequency, or duration of therapy is desirable.
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http://dx.doi.org/10.1016/S1470-2045(23)00095-5 | DOI Listing |
Lymph node (LN)-resident dendritic cells (DCs) are a promising target for vaccination given their professional antigen-presenting capabilities and proximity to a high concentration of immune cells. Direct intra-LN injection has been shown to greatly enhance the immune response to vaccine antigens compared to traditional intramuscular injection, but it is infeasible to implement clinically in a vaccination campaign context. Employing the passive lymphatic flow of antigens to target LNs has been shown to increase total antigen uptake by DCs more than inflammatory adjuvants, which recruit peripheral DCs.
View Article and Find Full Text PDFStat Med
December 2024
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada.
This work develops a generalized fused lasso (GFL) approach to fitting contrast-based network meta-analysis (NMA) models. The GFL method penalizes all pairwise differences between treatment effects, resulting in the pooling of treatments that are not sufficiently different. This approach offers an intriguing avenue for potentially mitigating biases in treatment rankings and reducing sparsity in networks.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan Province 646000, China. Electronic address:
Syst Rev
October 2024
Midwifery Research and Education Unit, Hannover Medical School, Hannover, 30625, Germany.
Background: The standard approach to local inconsistency assessment typically relies on testing the conflict between the direct and indirect evidence in selected treatment comparisons. However, statistical tests for inconsistency have low power and are subject to misinterpreting a p-value above the significance threshold as evidence of consistency.
Methods: We propose a simple framework to interpret local inconsistency based on the average Kullback-Leibler divergence (KLD) from approximating the direct with the corresponding indirect estimate and vice versa.
Int J Mol Sci
September 2024
College of Pharmacy, University of Illinois, Chicago, IL 60612, USA.
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