BIOTIPRA: BIOmarker-guided Treatment Decisions in Psoriatic and Rheumatoid Arthritis

NCT ID: NCT03853395

Last Updated: 2025-01-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Clinical Phase

NA

Total Enrollment

50 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-05-31

Study Completion Date

2027-07-31

Brief Summary

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TNFi drugs remain the most prescribed first-line biologics for patients with rheumatoid arthritis (RA). However, up to 40% of RA patients fail to respond to TNFi treatment. One explanation of non-response is the development of anti-drug antibodies and low drug levels.

Studies have consistently shown that:

1. Serum drug levels of monoclonal antibodies (such as adalimumab, certolizumab, infliximab) and the presence of anti-drug antibodies in samples taken at 3 and 6 months correlate with subsequent response at 12 months.
2. Non-responders and those who develop anti-drug antibodies are less likely to receive concomitant methotrexate or, if they do receive it, are on lower doses than responder groups.

However, it has not been proven that knowing that a patient had low drug levels or anti-drug antibodies would have improved the outcome; neither has it been shown that introducing or increasing the dose of methotrexate would reduce the formation of anti-drug antibodies, thereby improving outcome.

Observational data has revealed that RA non-responders, who exhibit adequate serum drug levels and no detectable anti-drug antibodies, have lower probability of response to another agent with the same mechanism of action (MOA), and may benefit in switching to a drug with a different MOA (12). RA non-responders, who have low detectable serum trough levels and detectable anti-drug antibodies, may benefit in switching to a less immunogenic drug (13, 14). These patients may have a predisposition of developing immunogenicity against the introduced foreign protein (12). Neutralising anti-drug antibodies against the TNFi etanercept or the T-cell co-stimulation inhibitor abatacept have not been detected (10, 12, 15). Furthermore whilst the use and dose of methotrexate at initiation of TNFi, has been associated with lower levels of anti-drug antibodies in our work and others (10, 16), it is not known if increasing the MTX dose once immunogenicity has developed reduces anti-drug antibodies and leads to improved treatment response.

Whilst algorithms have been proposed based on these tests (4, 17, 18), they have not been confirmed in a randomised controlled trial setting to show that the intervention (testing) is effective. Based on our preliminary work in an observational dataset, this feasibility study will allow us to design a definitive study to answer the important issue of whether pharmacological testing can be utilised as robust biomarkers to optimise future patient outcomes.

The next essential step, therefore, is to prove that introducing these tests improves clinical outcome. It is very important to do so because some clinicians are already requesting that their immunology laboratories introduce such tests; yet the tests themselves are expensive and have not yet shown efficacy (19). Conducting a clinical feasibility trial is one of the essential first steps in development of a full clinical trial to undertake process evaluation and assess the proposed study design, required number of participants and ensure optimum project completion.

The proposed trial is a clinical feasibility trial with the aim to ensure a realistic assessment and capability to conduct the full clinical trial. Participants with RA, commencing adalimumab or certolizumab will be randomised to determine whether providing test results on adalimumab/certolizumab drug levels and anti-drug antibodies at 4 weeks, 3 and 6 months to clinicians caring for patients with RA (n=15 patients) starting on treatment with adalimumab/certolizumab, improves the course of disease activity, compared to standard care (n=15 patients). Clinicians will be provided with feedback and a treatment algorithm. The feasibility of the study will be assessed by a number of factors including evaluation of recruitment, attrition, data completeness and process evaluation. The results will be used to inform the number of participants required to fully evaluate the intervention.

Detailed Description

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Conditions

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Arthritis, Rheumatoid

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Control Arm

Participants on this arm of the study will provide trough blood samples and complete participant questionnaires. Their research teams will return clinical information about them to the University of Manchester. Clinicians for this group of participants will not receive blood results (about drug levels or anti-drug antibodies) or treatment advice from the University of Manchester about their participant.

Group Type ACTIVE_COMPARATOR

Tests for drug levels and anti-drug antibodies

Intervention Type DIAGNOSTIC_TEST

Measurement of drug levels and anti-drug antibodies will be undertaken using commercially available enzyme-linked immunosorbent assays (ELISAs) and/or radioimmunoassays

Experimental Arm

Participants on this arm of the study will provide trough blood samples and complete participant questionnaires. Their research teams will return clinical information about them to the University of Manchester. Clinicians for this group of participants will receive blood results (about drug levels or anti-drug antibodies) or treatment advice from the University of Manchester about their participant. They will be able to act accordingly.

Group Type EXPERIMENTAL

Tests for drug levels and anti-drug antibodies

Intervention Type DIAGNOSTIC_TEST

Measurement of drug levels and anti-drug antibodies will be undertaken using commercially available enzyme-linked immunosorbent assays (ELISAs) and/or radioimmunoassays

Interventions

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Tests for drug levels and anti-drug antibodies

Measurement of drug levels and anti-drug antibodies will be undertaken using commercially available enzyme-linked immunosorbent assays (ELISAs) and/or radioimmunoassays

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Patients with RA about to start therapy with adalimumab or certolizumab
2. Age 18 and over, male or female
3. Willing to take part in the study
4. Patients who consent to take part in the BRAGGSS study

Exclusion Criteria

1. Patients unwilling or unable to take part in the study
2. Pregnant women or nursing (breast feeding) mothers.
3. Planned pregnancy within next 12 months.
4. Scheduled surgery in the next 12 months or other pre-planned reasons for treatment discontinuation in the next 12 months.
5. Contraindication to adalimumab or certolizumab according to the summary of product characteristics
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Manchester

OTHER

Sponsor Role lead

Responsible Party

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Dr. James Bluett

Chief Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Centre for Musculoskeletal Research

Manchester, England, United Kingdom

Site Status

Hampshire Hospitals NHS Foundation Trust

Basingstoke, Hampshire, United Kingdom

Site Status

Midlands Partnership NHS Foundation Trust

Stafford, Staffordshire, United Kingdom

Site Status

Leicester Royal Infirmary

Leicester, , United Kingdom

Site Status

Homerton University Hospital NHS Foundation Trust

London, , United Kingdom

Site Status

Manchester University Hospitals NHS Foundation Trust

Manchester, , United Kingdom

Site Status

Northern Care Alliance NHS Group

Manchester, , United Kingdom

Site Status

Torbay and South Devon NHS Foundation Trust

Torquay, , United Kingdom

Site Status

Royal Wolverhampton NHS Trust

Wolverhampton, , United Kingdom

Site Status

Countries

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United Kingdom

Other Identifiers

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NHS001481

Identifier Type: -

Identifier Source: org_study_id

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