Prognostic clinical and biological markers for amyotrophic lateral sclerosis disease progression: validation and implications for clinical trial design and analysis.

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL EBioMedicine Pub Date : 2024-10-01 Epub Date: 2024-09-12 DOI:10.1016/j.ebiom.2024.105323
Michael Benatar, Eric A Macklin, Andrea Malaspina, Mary-Louise Rogers, Eran Hornstein, Vittoria Lombardi, Danielle Renfrey, Stephanie Shepheard, Iddo Magen, Yahel Cohen, Volkan Granit, Jeffrey M Statland, Jeannine M Heckmann, Rosa Rademakers, Caroline A McHutchison, Leonard Petrucelli, Corey T McMillan, Joanne Wuu
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Abstract

Background: With increasing recognition of the value of incorporating prognostic markers into amyotrophic lateral sclerosis (ALS) trial design and analysis plans, there is a pressing need to understand which among the prevailing clinical and biochemical markers have real value, and how they can be optimally used.

Methods: A subset of patients with ALS recruited through the multi-center Phenotype-Genotype-Biomarker study (clinicaltrials.gov: NCT02327845) was identified as "trial-like" based on meeting common trial eligibility criteria. Clinical phenotyping was performed by evaluators trained in relevant assessments. Serum neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH), urinary p75ECD, plasma microRNA-181, and an array of biochemical and clinical measures were evaluated for their prognostic value. Associations with functional progression were estimated by random-slopes mixed models of ALS functional rating scale-revised (ALSFRS-R) score. Associations with survival were estimated by log-rank test and Cox proportional hazards regression. Potential sample size savings from adjusting for given biomarkers in a hypothetical trial were estimated.

Findings: Baseline serum NfL is a powerful prognostic biomarker, predicting survival and ALSFRS-R rate of decline. Serum NfL <40 pg/mL and >100 pg/mL correspond to future ALSFRS-R slopes of ∼0.5 and ∼1.5 points/month, respectively. Serum NfL also adds value to the best available clinical predictors, encapsulated by the European Network to Cure ALS (ENCALS) predictor score. In models of functional decline, the addition of NfL yields ∼25% sample size saving above those achieved by inclusion of either clinical predictors or ENCALS score alone. The prognostic value of serum pNfH, urinary p75ECD, and plasma miR-181ab is more limited.

Interpretation: Among the multitude of biomarkers considered, only blood NfL adds value to the ENCALS prediction model and should be incorporated into analysis plans for all ongoing and future ALS trials. Defined thresholds of NfL might also be used in trial design, for enrichment or stratified randomisation, to improve trial efficiency.

Funding: NIH (U01-NS107027, U54-NS092091). ALSA (16-TACL-242).

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肌萎缩性脊髓侧索硬化症疾病进展的临床和生物预后标志物:验证及对临床试验设计和分析的影响。
背景:随着越来越多的人认识到将预后标志物纳入肌萎缩侧索硬化症(ALS)试验设计和分析计划的价值,人们迫切需要了解目前流行的临床和生化标志物中哪些具有真正的价值,以及如何优化使用这些标志物:通过多中心表型-基因型-生物标记物研究(clinicaltrials.gov: NCT02327845)招募的 ALS 患者子集被确定为 "类似试验",其依据是符合共同的试验资格标准。临床表型由接受过相关评估培训的评估人员进行。血清神经丝轻型(NfL)和磷酸化神经丝重型(pNfH)、尿p75ECD、血浆microRNA-181以及一系列生化和临床指标的预后价值得到了评估。通过ALS功能评分量表-修订版(ALSFRS-R)评分的随机斜率混合模型估计了与功能进展的关系。通过对数秩检验和 Cox 比例危险度回归估算了与存活率的关系。对假设试验中调整特定生物标志物可能节省的样本量进行了估算:基线血清 NfL 是一种强有力的预后生物标志物,可预测存活率和 ALSFRS-R 下降率。血清 NfL 100 pg/mL 与未来 ALSFRS-R 斜率分别为 0.5 和 1.5 分/月相对应。血清 NfL 还能增加现有最佳临床预测指标的价值,欧洲 ALS(肌萎缩性脊髓侧索硬化症)治愈网络(ENCALS)的预测指标评分囊括了这些指标。在功能衰退模型中,加入 NfL 比仅加入临床预测因子或 ENCALS 评分节省了 25% 的样本量。血清 pNfH、尿液 p75ECD 和血浆 miR-181ab 的预后价值较为有限:在考虑的多种生物标志物中,只有血液NfL能为ENCALS预测模型增加价值,应将其纳入所有正在进行的和未来的ALS试验的分析计划中。定义的NfL阈值也可用于试验设计,进行富集或分层随机化,以提高试验效率:国家卫生研究院(U01-NS107027、U54-NS092091)。ALSA(16-TACL-242)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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