Evidence map›Paper›PMID 27390168›Full record

Trial reportArthritis & rheumatology (Hoboken, N.J.)2017

Post Hoc Analysis of the Phase II/III APRIL-SLE Study: Association Between Response to Atacicept and Serum Biomarkers Including BLyS and APRIL.

Caroline Gordon, David Wofsy, Stephen Wax, Yong Li, Claudia Pena Rossi, David Isenberg

Registry-linked trialAbstract readClinical Trial, Phase IIClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in Arthritis & rheumatology (Hoboken, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05666336 (Proteomics Combined With Metabolomics Studies on the Efficacy of Telitacicept in Chinese Patients of Systemic Lupus Erythematosus), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05666336 phase4unknown statusnot on this mapstarted 2022, after this paper: background citation

Proteomics Combined With Metabolomics Studies on the Efficacy of Telitacicept in Chinese Patients of Systemic Lupus Erythematosus

TypeinterventionalSponsorFen LiRan2022 to 2024Enrolled30ConditionsSystemic Lupus ErythematosusArmsTelitacicept, Hydroxychloroquine, Prednisone, Methylprednisolone, Cyclophosphamide
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. [Innovative treatments in rheumatology].Zeitschrift fur Rheumatologie · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. The molecular subtypes of autoimmune diseases.Computational and structural biotechnology journal · 2024
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Precision medicine in systemic lupus erythematosus.Nature reviews. Rheumatology · 2023
    Review
  15. Review
  16. Article
  17. Review
  18. Emerging B-Cell Therapies in Systemic Lupus Erythematosus.Therapeutics and clinical risk management · 2021
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Caroline GordonUniversity of Birmingham, Birmingham, UK.
David WofsyUniversity of California, San Francisco.
Stephen WaxEMD Serono, Rockland, Massachusetts.
Yong LiEMD Serono, Rockland, Massachusetts.
Claudia Pena RossiMerck Serono S.A, Geneva, Switzerland.
David IsenbergUniversity College London, London, UK.

Funding

Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8M
NIDDK NIH HHS P30 DK063720
6 · The paper itself

Abstract

objectiveTo assess the relationship between treatment response, baseline biomarker levels, and atacicept exposure in patients with systemic lupus erythematosus (SLE) in the phase II/III APRIL-SLE study.

methodsWe performed a post hoc analysis of patients who received placebo, atacicept 75 mg, or atacicept 150 mg in a randomized, controlled, 52-week trial. Serum levels of BlyS and APRIL were measured at baseline, and serum levels of Ig and the numbers of naive B cells and plasma cells were measured at baseline and during treatment. Atacicept exposure was determined by assessment of the serum trough concentrations throughout the 52-week trial period. Associations between these parameters, treatment response (reduction in British Isles Lupus Assessment Group A or B flare), and infection rates were explored.

resultsRecurrent high baseline levels of both BLyS (≥1.6 ng/ml) and APRIL (≥2.2 ng/ml) correlated with a greater treatment response (flare rate 75.7% with placebo, and 50.0% and 32.0% with atacicept 75 mg and atacicept 150 mg, respectively) compared with lower baseline levels of both. Increased atacicept exposure correlated with reduced flare rates (60.5% with placebo; 63.4%, 61.0%, 48.8%, and 29.3% in the 4 quartiles, from lowest to highest atacicept exposure). Greater pharmacodynamic responses (reduced Ig levels and naive B cell and plasma cell numbers) were associated with greater reductions in the flare rate. Infection rates were similar regardless of biomarker levels at baseline or at the time of atacicept exposure.

conclusionThese post hoc analyses demonstrate a dose-response relationship between atacicept concentrations, reduced Ig levels, and reduced flare rates and suggest that baseline biomarkers such as elevated serum levels of BLyS and APRIL may help to identify the patients who are most likely to benefit from atacicept treatment.

Indexed as

B-Cell Activating FactorBiomarkersDouble-Blind MethodHumansLupus Erythematosus, SystemicRecombinant Fusion ProteinsTreatment OutcomeTumor Necrosis Factor Ligand Superfamily Member 13B-Cell Activating FactorBiomarkersRecombinant Fusion ProteinsTACI receptor-IgG Fc fragment fusion proteinTNFSF13B protein, humanTumor Necrosis Factor Ligand Superfamily Member 13

Identifiers

PMID27390168
PMCPMC6681010

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.