Being PRO-ACTive: What can a Clinical Trial Database Reveal About ALS?

Area of Science:

• Neuroscience
• Clinical Research
• Data Science

Background:

• Characterizing patient populations is crucial for advancing research and clinical care in rare diseases like amyotrophic lateral sclerosis (ALS).
• The development of large, accessible patient datasets is essential for effective clinical trial design and execution.
• The Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) platform was created to address the need for a substantial ALS patient cohort.

Purpose of the Study:

• To provide an overview of research enabled by the PRO-ACT database.
• To highlight the value of large datasets in understanding ALS natural history and prognostic factors.
• To showcase the development of tools for improved clinical trial recruitment and monitoring.

Main Methods:

• The PRO-ACT database aggregates over 8600 patient records from 17 completed ALS clinical trials.
• Data access is provided in an open-access mode to researchers globally.
• The platform facilitates various research analyses, including prediction modeling and patient stratification.

Main Results:

• Research using PRO-ACT data has led to predictions of ALS progression and survival.
• Novel predictors of disease progression and survival have been discovered.
• New patient stratification based on disease progression profiles has been identified.
• Tools for enhanced clinical trial recruitment and monitoring have been developed.

Conclusions:

• Large, open-access datasets like PRO-ACT are invaluable for advancing the understanding of ALS.
• The PRO-ACT platform has facilitated significant research into ALS natural history, prognosis, and patient stratification.
• Continued analysis of the PRO-ACT database promises further insights into ALS, a disease that has long challenged scientific understanding.