An Innovative Phase 2 Proof‐of‐Concept Trial Design to Evaluate SAR445088 , a Monoclonal Antibody Targeting Complement C1s in Chronic Inflammatory Demyelinating Polyneuropathy

医学 临床终点 临床试验 安慰剂 耐受性 慢性炎症性脱髓鞘性多发性神经病 内科学 肿瘤科 代理终结点 不利影响 免疫学 抗体 病理 替代医学
作者
Luis Querol,Richard A Lewis,Hans-Peter Hartung,Pieter A Van Doorn,Erik Wallstroem,Xiaodong Luo,Miguel Alonso-Alonso,Nazem Atassi,Richard A C Hughes
出处
期刊:Journal of The Peripheral Nervous System [Wiley]
标识
DOI:10.1111/jns.12551
摘要

Chronic inflammatory demyelinating polyneuropathy (CIDP) is a rare immune-mediated disease of the peripheral nerves, with significant unmet treatment needs. Clinical trials in CIDP are challenging; thus, new trial designs are needed. We present design of an open-label phase 2 study (NCT04658472) evaluating efficacy and safety of SAR445088, a monoclonal antibody targeting complement C1s, in CIDP.This phase 2, proof-of-concept, multicenter, open-label trial will evaluate the efficacy, and safety of SAR445088 in 90 patients with CIDP across three groups: 1) currently treated with standard-of-care (SOC) therapies, including immunoglobulin or corticosteroids (SOC-Treated); 2) refractory to SOC (SOC-Refractory); and 3) naïve to SOC (SOC-Naïve). Enrolled participants undergo a 24-week treatment period (part A), followed by an optional treatment extension for up to additional 52 weeks (part B). In part A, the primary endpoint for the SOC-Treated group is the percentage of participants with a relapse after switching from SOC to SAR445088. The primary endpoint for the SOC-Refractory and SOC-Naïve groups is the percentage of participants with a response, compared to baseline. Secondary endpoints include safety, tolerability, immunogenicity, and efficacy of SAR445088 during 12-week overlapping period (SOC-Treated). Part B evaluates long-term safety and durability of efficacy. Data analysis will be performed using Bayesian statistics (predefined efficacy thresholds) and historical data-based placebo assumptions to support program decision making.This innovative trial design based on patient groups and Bayesian statistics provides an efficient paradigm to evaluate new candidate treatments across the CIDP spectrum and can help accelerate development of new therapies. This article is protected by copyright. All rights reserved.
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