What the trial was testing
The trial enrolled 176 patients with als. The study was sponsored by Biogen and tracked outcomes across the full group of patients who matched the trial's eligibility profile.
It was an early-stage trial — researchers are still confirming safety and getting an early look at how well the treatment works. Trials at this stage are designed to produce evidence regulators and physicians can act on — not just observations to follow up later.
What the results showed
The highest dose of tofersen reduced SOD1 protein levels in spinal fluid by 33%.
The New England journal of medicine · 2020 · NCT02623699
These findings — that the highest dose lowered harmful SOD1 protein in spinal fluid — were published in the The New England journal of medicine and represent the headline result of the study.
Researchers tracked outcomes across 176 patients enrolled in the trial. The result was consistent enough across the group that the team felt confident reporting it.
What this means for patients
For patients with als, this result changes the calculus on what to ask their care team about. Whether it changes day-to-day care depends on factors like disease subtype, prior treatments, and where the patient is in their care journey.
What you can do now
This was a safety testing study (Phase 1-2) and tofersen was not yet FDA-approved at the time. The drug has since been approved by the FDA in 2023 for adults with ALS caused by SOD1 mutations. If you have SOD1-related ALS, ask your doctor whether tofersen might be right for you.
Eligibility for the treatments mentioned above depends on specific test results and clinical history. Bring this summary, the trial name, and your most recent labs or pathology report to your next visit.
Open als trials
Ultra-High Resolution PET in Aging, Neurodegeneration and Psychotic Disorders
The goal of this study is to use ultra-high-resolution (UHR) PET imaging to better understand how the brain and spinal cord change in healthy aging and in neurological and psychiatric disorders such as Alzheimer's disease (AD), Parkinson's disease and related movement disorders, amyotrophic lateral sclerosis (ALS), and psychotic disorders. Researchers will use the NeuroExplorer PET/CT system, a new scanner that can show very small structures in the brain and spinal cord in much more detail than regular PET. The main questions this study aims to answer are: * How do small but important brain regions (like the locus coeruleus, substantia nigra, and thalamic nuclei) change in healthy aging? * What early brain changes occur in neurodegenerative and psychotic disorders, and can they help improve early diagnosis? Participants will: * Undergo PET and MRI brain scans using different tracers that measure brain metabolism (18F-FDG), synaptic density (¹⁸F-SynVesT-1), dopamine transporters (¹⁸F-PE2I), and tau protein buildup (¹⁸F-MK6240). * Complete cognitive and clinical assessments related to memory, mood, and motor or psychiatric symptoms, depending on their group. This study will include healthy volunteers and patients with mild cognitive impairment due to Alzheimer´s disease, ALS, Parkinson's disease and related disorders, or psychotic disorders. The results will help create detailed brain imaging maps for healthy aging and identify early biomarkers for different diseases to support better diagnosis and treatment in the future.
Using the EHR to Advance Genomic Medicine Across a Diverse Health System
Given the expansion of indications for genetic testing and our understanding of conditions for which the results change medical management, it is imperative to consider novel ways to deliver care beyond the traditional genetic counseling visit, which are both amenable to large-scale implementation and sustainable. The investigators propose an entirely new approach for the implementation of genomic medicine, supported by the leadership of Penn Medicine, investigating the use of non-geneticist clinician and patient nudges in the delivery of genomic medicine through a pragmatic randomized clinical trial, addressing NHGRI priorities. Our application is highly conceptually and technically innovative, building upon expertise and infrastructure already in place. Innovative qualities of our proposal include: 1) Cutting edge EHR infrastructure already built to support genomic medicine (e.g., partnering with multiple commercial genetic testing laboratories for direct test ordering and results reporting in the EHR); 2) Automated EHR-based direct ordering or referring by specialist clinicians (i.e., use of replicable modules that enable specialist clinicians to order genetic testing through Epic Smartsets, including all needed components, such as populated gene lists, smartphrases, genetic testing, informational websites and acknowledgement e-forms for patient signature); 3) EHR algorithms for accurate patient identification (i.e., electronic phenotype algorithms to identify eligible patients, none of which currently have phenotype algorithms present in PheKB; 4) Behavioral economics-informed implementation science methods: This trial will be the first to evaluate implementation strategies informed by behavioral economics, directed at clinicians and/or patients, for increasing the use of genetic testing; further it will be the first study in this area to test two forms of defaults as a potential local adaptation to facilitate implementation (ordering vs. referring); and 5) Dissemination: In addition to standard dissemination modalities,PheKB95, GitHub and Epic Community Library, the investigators propose to disseminate via AnVIL (NHGRI's Genomic Data Science Analysis, Visualization, and Informatics Lab-Space). Our results will represent an entirely new paradigm for the provision of genomic medicine for patients in whom the results of genetic testing change medical management.