IMPROVEMENT OF THROMBOSIS-RELEVANT BIOMARKERS WITH DEUCRAVACITINIB TREATMENT IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS: RESULTS FROM THE PHASE 2 PAISLEY TRIAL
Bibliographic record
Abstract
O051 / #519 Topic: AS04 - Biomarkers ABSTRACT CONCURRENT SESSION 08: RECENT ADVANCES IN LUPUS BIOMARKERS 23-05-2025 1:40 PM - 2:40 PM Background/Purpose Patients with systemic lupus erythematosus (SLE) have a significantly higher risk of venous thromboembolism compared with the general population.[1] Elevated D-dimer levels have been used to predict risk for recurrent deep vein thrombosis and pulmonary embolism,[2] and D-dimer levels are associated with higher thrombosis risk irrespective of antiphospholipid antibodies in patients with SLE.[3] Deucravacitinib, an oral, selective, allosteric tyrosine kinase 2 (TYK2) inhibitor, has a unique mechanism of action and has shown efficacy in the phase 2 PAISLEY study in patients with SLE ( NCT03252587 ). We used baseline D-dimer levels as a surrogate marker of thrombotic risk to investigate the impact of deucravacitinib or placebo on thrombosis-relevant biomarkers in patients with SLE with abnormal D-dimer levels from the PAISLEY study. Methods Samples from 319 patients with SLE were tested for D-dimer and Olink® Explore HT, covering > 5000 proteins. D-dimer levels were quantified by MLM Medical Labs with IMUCLONE D-dimer ELISA kits (BioMedica Diagnostics). Patients were categorized by baseline D-dimer value: normal (< 500 ng/mL, n = 174) or abnormal (≥ 500 ng/mL, n = 145). Fifty-four background-matched samples from normal healthy volunteers (NHVs) were also analyzed. Protein expression was compared in normal vs abnormal D-dimer groups. Changes in D-dimer levels were evaluated using linear mixed-effects modeling; pre- and posttreatment thrombosis-relevant biomarkers were studied in patients with SLE with abnormal baseline D-dimer levels. Results Significantly higher D-dimer levels were observed in patients with SLE compared with NHVs (P < 0.0001; Figure 1A). All 3 doses of deucravacitinib significantly reduced D-dimer levels in patients with SLE with abnormal baseline D-dimer levels (Figure 1B). Meaningful reductions in D-dimer levels were not observed with deucravacitinib in patients with normal baseline D-dimer levels (Figure 1C). In patients with abnormal baseline D-dimer levels, 1590 serum proteins associated with 20 biological pathways were significantly upregulated compared with patients with normal baseline D-dimer levels (adj. P < 0.05; fold change > 1). The top 2 identified pathways enriched in upregulated proteins were cytokine/chemokine signaling and lipid/atherosclerosis pathways. Deucravacitinib led to the normalization of proteins mediating these pathways (eg, TNF, VCAM1, ICAM1; Figure 2A) in the overall population and patients with abnormal baseline D-dimer levels. Further investigation of specific thrombosis-relevant pathways suggested elevation of the corresponding biomarkers (eg, AXL, VWF, MERTK, PDGFRA, PLAUR, GAS6) in patients with SLE with abnormal baseline D-dimer levels, followed by an improvement induced by deucravacitinib in a dose-dependent manner (Figure 2B). Figure 1. D-dimer levels at baseline and change from baseline after treatment with deucravacitinib or placebo in patients with SLE with normal or abnormal D-dimer levels at baseline Figure 2. Baseline biomarker expression relevant to lipid/atherosclerosis and coagulation pathways in patients with SLE with abnormal baseline D-dimer levels and change from baseline after deucravacitinib treatment at week 48 Conclusions Patients with SLE with elevated baseline D-dimer levels had increased serum levels of proteins involved in the mediation of inflammation, atherosclerosis, and thrombosis. Deucravacitinib reduced D-dimer levels and normalized biomarkers relevant to development of thrombosis. Further investigations will be conducted in large populations of patients with SLE from the ongoing phase 3 studies ( NCT05617677 , NCT05620407 ). References: [1.] Menichelli D. Autoimmun Rev 2023;22:103447. [2.] Eichinger S. JAMA 2003;290:1071-4. [3.] Wu H. Clin J Am Soc Nephrol 2008;3:1628-36. Acknowledgments: We thank the patients and families who made this study possible, as well as the clinical teams that participated. We also thank Zhaoqing Wang for data analysis. The study was supported by Bristol Myers Squibb. All authors contributed to and approved the abstract; professional medical writing and editorial assistance was provided by Stephanie V. Koebele, PhD, of Nucleus Global, funded by Bristol Myers Squibb.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".