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Founded in 2015, D-RSC supports collaborative research through shared data access and advances development of drug development tools.
Duchenne Muscular Dystrophy (DMD) is a life-threatening disease caused by a genetic mutation in the DMD gene, leading to loss of ambulation, loss of upper limb function, and respiratory and cardiac failure.
A major hurdle in improving treatments for DMD is the disease’s complexity, including its wide variety of genetic mutations. Researchers must consider factors such as the specific mutation type, disease stage, and patient age. Additionally, variable disease progression and the lack of standardized indicators complicate treatment assessment.
The rarity of DMD, with approximately 20,000 new diagnoses per year, mostly in boys, further challenges clinical trials. The small patient population and the growing number of drugs in development make it difficult to recruit enough participants, leading to long trial durations and limited statistical power, which hinders the detection of treatment effects.
In collaboration with C-Path’s Predictive Safety Testing Consortium, we are developing glutamate dehydrogenase (GLDH) as a safety biomarker for liver toxicity in patients with underlying muscle damage and have received a formal “letter of support” from EMA and positive response to the Qualification Plan for GLDH from the FDA. Future projects may include supporting the regulatory acceptance of other DMD-relevant biomarkers and patient reported outcomes or development of additional models to be leveraged for drug development.
The D-RSC team works every day to mitigate the effects of DMD and to bring new treatments to market faster. To do so, D-RSC provides:
The development of disease progression models of five endpoints to integrate into a quantitative solution – a Clinical Trial Simulation (CTS) tool
Qualification of glutamate dehydrogenase as a liver safety biomarker in trials involving patients affected by muscle disorders.
Regulatory acceptance of Clinical Outcome Assessments (COAs) for DMD
Regulatory acceptance of quantitative tools based on MRI biomarkers for DMD and their relationship to disease progression
Models of additional endpoints as data become available
The Duchenne Regulatory Science Consortium Database is open to non-consortium members if approved by a data use committee consisting of neutral members of the consortium. By sharing this resource, D-RSC aims to extend and amplify the availability of data to accelerate drug development for Duchenne muscular dystrophy. The database includes data from DMD clinical trials, natural history studies, and clinical data collections.
What is the DMD Clinical Trial Simulation Tool?
Share Data Here: https://portal.rdca.c-path.org/contribute-data
D-RSC promotes the sharing of patient-level data and encourages the standardization of new data collection. All shared rare disease data, including DMD and BMD, are collected in the Rare Disease Cures Accelerator-Data and Analytics Platform (RDCA-DAP®). By integrating data in a format suitable for analytics, RDCA-DAP accelerates the understanding of disease progression (including sources of variability to optimize the characterization of subpopulations), clinical outcome measures and biomarkers, and facilitates the development of mathematical models of disease and innovative clinical trial designs.
C-Path RDCA-DAP Portal: https://portal.rdca.c-path.org
D-RSC efforts and solutions are all data driven and the precious data shared become part of sophisticated regulatory ready solutions that are provided back to the community in form of freely available drug development tools to advance drug development in DMD and other dystrophinopathies.
Ramona Belfiore-Oshan, PhD
Executive Director, Duchenne Regulatory Science Consortium
Pat Furlong,
Founding President, Parent Project Muscular Dystrophy
Klaus Romero, MD, MS
Chief Executive Officer, Chief Science Officer
Collin Hovinga, PharmD, MS, FCCP
Vice President, Rare/Orphan and Pediatric Disease Programs
Rick Liwski
Chief Technology Officer; Director, Data Collaboration Center
Cécile Ollivier
Vice President of Global Affairs
Shu Chin Ma, PhD, Ma, MS, MPhil, EMBA
Vice President, Model-Informed Drug Development and Quantitative Medicine
Paige Martin, PhD
Associate Scientific Director, D-RSC
Stacy Owen
Project Manager II, D-RSC
Lysandra Gomez
Project Coordinator II, D-RSC
Zihan Cui
Quantitative Medicine Developer II
Grace V. Lee
Post-Doctoral Fellowship, Quantitative Medicine
Sakshi Sardar
Senior Director, Digital and Precision Medicine
Lauren Quinlan
Quantitative Medicine Developer I
Rachel Xu
Quantitative Medicine Developer
Yi Zhang
Senior Director of Pharmacometrics, Quantitative Medicine
Diane Corey
Data Team Manager, Data Collaboration Center
Nathan Cuncelli
Data Manager III, Data Collaboration Center
Patrick O’Meara
Associate Director, Data Management, C-Path Europe
Ahmad Faizan
Data Manager II, Data Management, C-Path Europe