NCT02686268

Brief Summary

This research study is being performed to better understand a specific form of Amyotrophic Lateral Sclerosis (ALS) caused by a mutation (or abnormality) of the C9ORF72 gene. This mutation is the most common genetic cause of ALS, and is present in 40% of ALS patients with a family history of ALS and 5-10% of ALS patients without a family history of ALS.

Trial Health

90
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
128

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Feb 2015

Typical duration for all trials

Geographic Reach
2 countries

8 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 1, 2015

Completed
1 year until next milestone

First Submitted

Initial submission to the registry

February 11, 2016

Completed
8 days until next milestone

First Posted

Study publicly available on registry

February 19, 2016

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2017

Completed
9 months until next milestone

Study Completion

Last participant's last visit for all outcomes

October 2, 2018

Completed
Last Updated

July 8, 2021

Status Verified

July 1, 2021

Enrollment Period

2.9 years

First QC Date

February 11, 2016

Last Update Submit

July 2, 2021

Conditions

Keywords

Amyotrophic Lateral SclerosisALSC9ORF72 gene mutationChromosome 9 open reading frame 72 proteinNatural historyBiomarkersAmyotrophic Lateral Sclerosis, FamilialAmyotrophic Lateral Sclerosis, SporadicFrontotemporal Dementia-Amyotrophic Lateral Sclerosis

Outcome Measures

Primary Outcomes (1)

  • Collection of clinical data and biomarker samples

    The primary outcome measures will be the collection of clinical data (ALSFRS, ALS-CBS and SVC) to determine rates of disease progression and collection of biomarkers samples (blood, CSF) to be correlated with the clinical measures.

    December 2017

Secondary Outcomes (1)

  • Correlation of repeat expansion size with clinical outcome measures and determination of C9ORF72 patients eligibility for clinical trials

    December 2017

Study Arms (1)

Individuals diagnosed with known positive C9ORF72 ALS

Individuals diagnosed with known positive C9ORF72 ALS

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Known positive C9ORF72 ALS status upon enrollment

You may qualify if:

  • Males or females of any race aged 18 or older
  • Known positive C9ORF72 ALS status via CLIA-certified lab results.
  • Capable of providing informed consent and following study procedures. In the event that an individual lacks the ability to provide informed consent, informed consent may be sought from the individual's legal, surrogate representative.
  • Geographically accessible to the site.

You may not qualify if:

  • Geographically inaccessible to the site
  • C9ORF72 ALS negative via CLIA-certified lab results

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (8)

Cedars Sinai Medical Center

Los Angeles, California, 90048, United States

Location

Johns Hopkins

Baltimore, Maryland, 21287, United States

Location

University of Massachusetts

Amherst, Massachusetts, 01003, United States

Location

Massachusetts General Hospital

Boston, Massachusetts, 02114, United States

Location

Washington University in St. Louis

St Louis, Missouri, 63110, United States

Location

Columbia University Medical Center

New York, New York, 10027, United States

Location

Sentara Health Care / Sentara Neurology Specialists

Virginia Beach, Virginia, 23454, United States

Location

UMC Utrecht

Utrecht, Netherlands

Location

Related Publications (1)

  • Cammack AJ, Atassi N, Hyman T, van den Berg LH, Harms M, Baloh RH, Brown RH, van Es MA, Veldink JH, de Vries BS, Rothstein JD, Drain C, Jockel-Balsarotti J, Malcolm A, Boodram S, Salter A, Wightman N, Yu H, Sherman AV, Esparza TJ, McKenna-Yasek D, Owegi MA, Douthwright C; Alzheimer's Disease Neuroimaging Initiative; McCampbell A, Ferguson T, Cruchaga C, Cudkowicz M, Miller TM. Prospective natural history study of C9orf72 ALS clinical characteristics and biomarkers. Neurology. 2019 Oct 22;93(17):e1605-e1617. doi: 10.1212/WNL.0000000000008359. Epub 2019 Oct 2.

    PMID: 31578300BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Whole blood (DNA, Southern Blots), Serum, PBMCs (for reprogramming into iPSCs), and Cerebral Spinal Fluid (CSF)

MeSH Terms

Conditions

Amyotrophic Lateral SclerosisAmyotrophic lateral sclerosis 1Frontotemporal Dementia With Motor Neuron Disease

Condition Hierarchy (Ancestors)

Spinal Cord DiseasesCentral Nervous System DiseasesNervous System DiseasesMotor Neuron DiseaseNeurodegenerative DiseasesTDP-43 ProteinopathiesNeuromuscular DiseasesProteostasis DeficienciesMetabolic DiseasesNutritional and Metabolic Diseases

Study Officials

  • Timothy M Miller, MD, PhD

    Washington University School of Medicine

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
David Clayson Professor of Neurology

Study Record Dates

First Submitted

February 11, 2016

First Posted

February 19, 2016

Study Start

February 1, 2015

Primary Completion

December 31, 2017

Study Completion

October 2, 2018

Last Updated

July 8, 2021

Record last verified: 2021-07

Data Sharing

IPD Sharing
Will not share

The study design has a robust plan to share de-identified data (but personally identifiable data will not be shared). When study information is shared, it will be "de-identified", meaning that the study will remove all personal identifiers so that all collected data and samples are stored under a unique subject ID study code ("coded"). In other words, the study has been designed to keep personal details separate from all samples and study information. The results of this trial will be published in peer-reviewed journals. No personal identifiers will be included.

Locations