People-Powered Medicine (PPM): Rheumatoid Arthritis Non-responders to Biologic Therapies (RANT) (PPM:RANT)

February 2, 2024 updated by: Katherine P Liao, Brigham and Women's Hospital
The investigators are interested in enrolling patients with rheumatoid arthritis (RA) who had a difficult time getting their disease under control even after trying multiple RA therapies. The investigators believe that there may be common patterns in the genes of this group of RA patients compared to those with more "textbook RA." Understanding genetic factors can help doctors to know in advance who may not respond to conventional therapies and start with treatments that work. Learning about underlying genes that influence treatment may help the investigators to identify new targets for therapy, to ultimately improve the lives of patients with RA and inflammatory arthritis.

Study Overview

Status

Completed

Detailed Description

The investigators are looking for patients with rheumatoid arthritis (RA) with an inadequate response to tumor necrosis factor inhibitor (TNFi) and another biologic disease modifying anti-rheumatic drug (bDMARD) or small molecule approved for treating RA. The investigators are conducting this research to learn more about RA and the genetic patterns associated with patients whose RA cannot be well controlled with most RA treatments. Investigators anticipate that these patients will differ from "classic" RA patients in their biomarker and genetic composition and that they represent a mixed group of individuals who may be similar in ways that are not currently being measured.

Study Type

Observational

Enrollment (Actual)

300

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Massachusetts
      • Boston, Massachusetts, United States, 02115
        • Brigham and Women's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 95 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients diagnosed with rheumatoid arthritis (RA) that have failed TNFi therapy and another bDMARD or small molecule approved for RA.

TNFi= adalimumab (Humira), certolizumab (Cimzia), etanercept (Enbrel), infliximab (Remicade), golimumab (Simponi)

bDMARDs or small molecules for RA in addition to TNFi above: abatacept (Orencia), baricitinib (Olumiant), sarilumab (Kevzara), tocilizumab (Actemra), rituximab (Rituxan), tofacitinib (Xeljanz), upadacitinib (Rinvoq)

Description

Inclusion Criteria:

  • Age > 18 years
  • RA diagnosed by a rheumatologist
  • Poor control of RA disease activity with tumor necrosis factor inhibitor (TNFi) and another biologic therapy or small molecule approved for RA

Exclusion Criteria:

  • If the reason for failed TNFi therapy was due to a contraindication or adverse reaction
  • Unable to provide blood sample

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Whole genome sequencing
Time Frame: Through study completion, averaging 1 year
Genomic data will be applied in an established bioinformatics pipeline to screen for uncommon variants and test association with exceptional treatment non-responders compared with TNFi responders.
Through study completion, averaging 1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Subgroup analyses of treatment non-responders
Time Frame: 1 year
Patients who eventually find a therapy that controls their RA. The investigators will use prospective questionnaire data to subgroup patients into those who eventually find a treatment that works vs those who do not.
1 year

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Other potential predictors of poor response to biologic therapies
Time Frame: Retrospective data up to 10 years prior to enrollment
Electronic health data will be used to assess for common features of patients who have poor response to therapy compared to TNFi responders.
Retrospective data up to 10 years prior to enrollment

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 6, 2021

Primary Completion (Actual)

June 30, 2023

Study Completion (Actual)

October 31, 2023

Study Registration Dates

First Submitted

August 5, 2021

First Submitted That Met QC Criteria

July 1, 2022

First Posted (Actual)

July 7, 2022

Study Record Updates

Last Update Posted (Estimated)

February 5, 2024

Last Update Submitted That Met QC Criteria

February 2, 2024

Last Verified

February 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Rheumatoid Arthritis

Subscribe