Accelerating Rare Disease Drug Development: Lessons Learned from Muscular Dystrophy Patient Advocacy Groups.

With scientific and molecular advancements related to disease pathogenesis, advances in gene and stem cell therapies, and the promise of lucrative markets for biopharmaceutical companies, there has been a rapid expansion in the number of potential new muscular dystrophy (MD) treatments. The first champion for a newly diagnosed MD patient and their caregivers is typically an MD-specific patient advocacy group (PAG). Muscular dystrophy PAGs have been among the most active in the rare disease drug development space. Notable achievements in the last decade include promulgating the first U.S. clinical research guidance, setting up registries and natural history studies, and investing in companies-some of which have brought potentially disease-modifying products to the market. This paper will discuss five key strategies that have been successfully employed by MD PAGs to advance treatments: (1) creating a national registry, (2) understanding the barriers to identifying patients with certain subtypes of muscular dystrophy to participate in clinical trials, (3) partnering with the biopharmaceutical industry, (4) collaborating with the regulators, and (5) incorporating market access and use insights early in clinical development. While clearly helpful within the MD community, these tactics could also be employed by PAGs representing other types of rare diseases.

Use of Big Data to Aid Patient Recruitment for Clinical Trials Involving Biosimilars and Rare Diseases.

Patient recruitment and retention are arguably the greatest challenges to the timely execution of clinical trials. This is particularly true in the case of trials involving biosimilars and those focused on rare diseases. For biosimilars, recruitment success typically hinges on difficulty of access to reimbursement for the originator product and may be hindered by competition from studies with other biosimilars and those with new chemical entities. For rare diseases, recruitment success depends not only on finding enough patients but also on retaining them for the duration of the trial. Historical success with patient recruitment-in addition to site qualifications-needs to be considered in parallel with current market competition and results in an ever-changing patient recruitment environment. Multiple companies supporting the biopharmaceutical industry, such as Contract Research Organizations, have begun to leverage sophisticated data modeling tools and techniques to find additional patients for biosimilar and rare disease trials and/or to find patients more quickly. In addition, these companies seek to better understand the population of interest and refine their statistical assumptions when conducting clinical trials or real-world analyses. The largest and most well-established companies that support the biopharmaceutical industry now have unparalleled access to big data from clinical trials, electronic health records, medical claims, laboratory tests, and prescriptions. This paper will discuss how big data can be harnessed to aid patient recruitment with a focus on clinical trials for biosimilars and orphan rare diseases.