1. Addressing heterogeneity in amyotrophic lateral sclerosis CLINICAL TRIALS
- Author
-
Goyal, Namita A, Berry, James D, Windebank, Anthony, Staff, Nathan P, Maragakis, Nicholas J, Berg, Leonard H, Genge, Angela, Miller, Robert, Baloh, Robert H, Kern, Ralph, Gothelf, Yael, Lebovits, Chaim, and Cudkowicz, Merit
- Subjects
Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Neurosciences ,Orphan Drug ,Clinical Research ,Rare Diseases ,ALS ,Brain Disorders ,Neurodegenerative ,Clinical Trials and Supportive Activities ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Neurological ,Good Health and Well Being ,Amyotrophic Lateral Sclerosis ,Biological Variation ,Population ,Biomarkers ,Clinical Trials as Topic ,Disease Progression ,Drug Development ,Humans ,Muscle Strength ,Outcome Assessment ,Health Care ,Physical Functional Performance ,Precision Medicine ,Prognosis ,Reproducibility of Results ,Respiratory Function Tests ,Risk Assessment ,Speech ,Transcranial Magnetic Stimulation ,amyotrophic lateral sclerosis ,biomarkers ,clinical trials ,disease heterogeneity ,enrichment strategies ,outcome measures ,Medical and Health Sciences ,Neurology & Neurosurgery ,Biological sciences ,Biomedical and clinical sciences - Abstract
Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disorder with complex biology and significant clinical heterogeneity. Many preclinical and early phase ALS clinical trials have yielded promising results that could not be replicated in larger phase 3 confirmatory trials. One reason for the lack of reproducibility may be ALS biological and clinical heterogeneity. Therefore, in this review, we explore sources of ALS heterogeneity that may reduce statistical power to evaluate efficacy in ALS trials. We also review efforts to manage clinical heterogeneity, including use of validated disease outcome measures, predictive biomarkers of disease progression, and individual clinical risk stratification. We propose that personalized prognostic models with use of predictive biomarkers may identify patients with ALS for whom a specific therapeutic strategy may be expected to be more successful. Finally, the rapid application of emerging clinical and biomarker strategies may reduce heterogeneity, increase trial efficiency, and, in turn, accelerate ALS drug development.
- Published
- 2020