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263 Secukinumab, a fully human anti-interleukin-17A monoclonal antibody, exhibits low immunogenicity in patients with psoriatic arthritis and ankylosing spondylitis during a 52week treatment period

2019· article· en· W2937112267 on OpenAlexaff
Iain B. McInnes, Atul Deodhar, Dafna D. Gladman, Mengyuan Ren, Sebastian Spindeldreher, Luminita Pricop, Brian Porter, Jorge Safi, Abhijit Shete, Gerard Bruin

Bibliographic record

VenueLara D. Veeken · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsSecukinumabMedicinePsoriatic arthritisImmunogenicityAnkylosing spondylitisMonoclonal antibodyImmunologySpondylitisMonoclonalDermatologyArthritisAntibody

Abstract

fetched live from OpenAlex

Background: Secukinumab (SEC), a fully human monoclonal antibody (mAb) that selectively targets interleukin-17A, is highly efficacious for the treatment of psoriatic arthritis (PsA) and ankylosing spondylitis (AS). mAb therapies may be associated with immunogenicity (IG) and production of anti-drug antibodies (ADAs) that may cause adverse events (AEs), and affect drug pharmacokinetics (PK) and clinical response. Objectives: To assess the IG of SEC in PsA and AS patients treated with SEC for up to 52 weeks. Methods: IG in patients with PsA (FUTURE 1-3 studies, n = 1414) and AS (MEASURE 1-4 studies, n = 1163) exposed to SEC was evaluated at baseline (BL) and at weeks 12, 16 (AS only), 24 and 52. Treatment emergent (TE)-ADA were defined as a positive ADA signal in ≥ 1 post-treatment sample in patients negative at BL. TE-ADA positive samples were analysed for drug-neutralising potential, SEC impact on PK, IG-related AEs and TE-ADA impact on efficacy through week 52. Results: Of 1414 treated PsA and 1163 treated AS patients with samples for IG evaluation, 5 (0.35%) and 8 (0.68%), respectively, developed TE-ADAs over 52 weeks (Table 1). All but 1 PsA pt were biologic-naive; 2/5 PsA and 1/8 AS patients received concomitant methotrexate, 2/8 AS patients received concomitant sulfasalazine. Associations between TE-ADAs and SEC dose, frequency or mode of administration were not observed. Other than 1 PsA pt, all TE-ADAs were non-neutralising and none were associated with any IG-related AE. All TE-ADAs were associated with normal PK and none were associated with loss of SEC efficacy over 52 weeks. Conclusion: SEC treatment was associated with a low incidence of IG in PsA and AS patients, as shown by TE-ADA detection in only 0.35% PsA patients and 0.68% AS patients over 52 weeks in a database of > 2500 patients, which is consistent with the low incidence of IG (0.4%) seen with SEC in patients with plaque psoriasis. Overview of pts with TE-ADAa Only positive ADA results at the respective study week are shown; Impact on efficacy is defined as: PsA, failure to achieve >20% reduction, compared to BL, in both tender and swollen joint counts; AS, failure to achieve ASAS20, after previously achieving such improvement for at least two consecutive visits prior to the first detection of ADA; Normal PK: concentrations in ADA-positive pts within observed range for all pts without ADA. ADA, anti-drug antibodies; AE, adverse event; AS, ankylosing spondylitis; ASAS, Assessment of Spondyloarthritis International Society; BL, baseline; IG, immunogenicity; Neut-Ab, neutralising antibodies; N, no; PBO, placebo; PK, pharmacokinetics; PsA, psoriatic arthritis; SEC, secukinumab; TE, treatment emergent; Wk, week; Y, yes. Disclosures: I.B. McInnes: Consultancies; I. M. consulted for: AbbVie, Amgen, BMS, Celgene, Janssen, Lilly, Novartis, Pfizer and UCB. Member of speakers’ bureau; I. M. participated in a speakers’ bureau with: AbbVie, Amgen, BMS, Celgene, Janssen, Lilly, Novartis, Pfizer and UCB. Grants/research support; I. M. received grant/research support from: AbbVie, Amgen, BMS, Celgene, Janssen, Lilly, Novartis, Pfizer and UCB. A. Deodhar: Consultancies; A. D. consulted for: Eli Lilly, Janssen, Novartis, Pfizer and UCB. Grants/research support; A. D. received grant/research support from: AbbVie, Amgen, Eli Lilly, GSK, Janssen, Novartis, Pfizer and UCB. D. Gladman: Grants/research support; D. G. received grant/research support from: Amgen, AbbVie, BMS, Celgene, Eli Lilly, Janssen, Novartis, Pfizer and UCB. M. Ren: Other; M. R. is an employee of Novartis. S. Spindeldreher: Shareholder/stock ownership; S. S. is a shareholder at Novartis. Other; S. S. is an employee of Novartis. L. Pricop: Shareholder/stock ownership; L. P. is a shareholder at Novartis. Other; L. P. is an employee of Novartis. B. Porter: Shareholder/stock ownership; B. P. is a shareholder at Novartis. Other; B. P. is an employee of Novartis. J. Safi: Shareholder/stock ownership; J. S. is a shareholder at Novartis. Other; J. S. is an employee of Novartis. A. Shete: Shareholder/stock ownership; A. S. is a shareholder at Novartis. Other; A. S. is an employee of Novartis. G. Bruin: Shareholder/stock ownership; G. B. is a shareholder at Novartis. Other; G. B. is an employee of Novartis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.211
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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