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Abstract Number: 2280

Development of a Blood-based Cell-free DNA Classifier Assay to Predict Biologic and Targeted Synthetic DMARDs Response in Rheumatoid Arthritis Patients (PRIMA-102)

Peter C. Taylor1, Kevin Lai2, Hsin-Ta Wu2, Jason Carlson2, Diana Abdueva3, Signe Fransen4, Alan Kivitz5, Gordon Lam6 and David Chernoff7, 1University of Oxford, Oxford, United Kingdom, 2Aqtual Inc, Hayward, CA, 3Aqtual Inc., Hayward, CA, 4Aqtual Inc., sf, CA, 5Altoona Center for Clinical Research, Duncansville, PA, 6Arthritis and Osteoporosis Consultants of the Carolinas, Cornelius, NC, 7SetPoint Medical, Sausalito, CA

Meeting: ACR Convergence 2024

Keywords: Bioinformatics, Biomarkers, rheumatoid arthritis

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Session Information

Date: Monday, November 18, 2024

Title: RA – Treatment Poster III

Session Type: Poster Session C

Session Time: 10:30AM-12:30PM

Background/Purpose: Matching most beneficial targeted therapy to rheumatoid arthritis (RA) patients with inadequate response or intolerance to current treatment is an important unmet clinical need. The aim of this study was to identify synovium-specific transcriptomic signals in blood that differentiate responders from non-responders and develop a test that predicts response to targeted therapies.   

Methods: PRIMA-102 is a prospective, multi-center, observational study with blood collection and clinical outcome assessments at baseline (BL) and week 12 post-therapy initiation (NCT05936970). Target enrollment for PRIMA-102 is up to 830 subjects, with 237 currently enrolled (Table 1). An initial analysis was performed on 35 subjects initiating a TNFα inhibitor (TNFi) or Janus Kinase inhibitor (JAKi) who met study completion (Table 2).  BL plasma samples were processed using a novel active chromatin cell-free DNA (cfDNAac) capture assay that yields a catalog of features linking circulating chromatin signals in blood to specific regulatory elements across the genome, including ~64K enhancers, ~37K promoters, and ~50K transcribed genes. This process allows for non-invasive access to tissue- and disease-specific molecular signatures. Key regulatory elements were identified using principal component analysis, based on the loadings from the principal component that significantly differentiated TNFi or JAKi responders and non-responders. Pathway and gene expression signature analyses were performed on active chromatin profiles to identify mechanisms that could discriminate responders and non-responders.

Results: Functional enrichment of the top ranked Differentially Regulated Active Chromatin Elements (DRACEs) associated with treatment response to TNFi and JAKi showed a striking diversity of synovial inflammatory signals with marked enrichment of myeloid, lymphoid, fibroblast, and endothelial cell subpopulations. Individual marker analysis showed the presence of transcriptional activity of pro-inflammatory mediators IL-32 and IL-33, chemokine involvement via promoter activation of CXCL9 and CXCL1 genes, vascular endothelial cell signals including promoter activation of ERG, and naive and central memory T cells as evidenced by promoter activation of SELL. These findings suggest that screening for DRACEs provides a non-invasive method for reconstructing lymphoid and myeloid sub-groups in RA. These sub-groups, previously identified only through synovial biopsy transcriptomics studies, were detected via cfDNAac, highlighting the platform’s ability to access tissue-specific signals linked to TNFi and JAKi response. 

Conclusion: Synovium specific and cell-mediated inflammatory pathways were identified in RA subjects treated with either TNFi or JAKi therapy using a novel blood-based cfDNAac assay. These synovial related signatures overlap with pathways previously identified using synovial tissue biopsies. PRIMA-102 is an ongoing, prospective study that will support the development and validation of a non-invasive test with potential to predict therapeutic response to targeted therapy that could guide personalized treatment decisions in RA.

Supporting image 1

Table 1: Demographic data

Supporting image 2

Table 2: Summary of TNFi and JAKi response


Disclosures: P. Taylor: AbbVie, 2, Acelyrin Inc., 2, Biogen, 2, Eli Lilly, 2, Fresenius, 2, Galapagos, 2, 12, Participation on a Data Safety Monitoring Board/Advisory Board, Gilead, 2, GSK, 2, Immunovant, 12, Participation on a Data Safety Monitoring Board/Advisory Board, Janssen, 2, Kymab, 12, Participation on a Data Safety Monitoring Board/Advisory Board, Nordic Pharma, 2, Pfizer, 2, Sanofi, 12, Participation on a Data Safety Monitoring Board/Advisory Board, UCB Pharma, 2; K. Lai: Aqtual Inc., 3, 10, 11; H. Wu: Aqtual Inc., 3, 11; J. Carlson: Aqtual Inc., 3, 11; D. Abdueva: Aqtual Inc., 3, 4, 8, 10, 11; S. Fransen: Aqtual Inc, 3, 11; A. Kivitz: AbbVie, 2, 6, Amgen, 6, 11, Coval, 2, Ecor1, 2, Fresenius Kabi, 2, Genzyme, 12, Scientific ExpertGenzyme, Gilead, 2, 11, GlaxoSmithKlein (GSK), 2, 6, 11, Grunenthal, 2, Horizon, 2, Innovaderm, 2, Janssen, 2, Lilly, 6, Novartis, 11, Pfizer, 6, 11, Prime, 12, Educational, Prometheus, 2, Sanofi - Regeneron, 6, SynAct, 2, Takeda, 2, UCB, 2, 6, XBiotech, 2; G. Lam: Aqtual Inc., 2; D. Chernoff: Aqtual Inc., 2, Reflexion Pharma, 2, 11, SetPoint Medical, 3, 11.

To cite this abstract in AMA style:

Taylor P, Lai K, Wu H, Carlson J, Abdueva D, Fransen S, Kivitz A, Lam G, Chernoff D. Development of a Blood-based Cell-free DNA Classifier Assay to Predict Biologic and Targeted Synthetic DMARDs Response in Rheumatoid Arthritis Patients (PRIMA-102) [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/development-of-a-blood-based-cell-free-dna-classifier-assay-to-predict-biologic-and-targeted-synthetic-dmards-response-in-rheumatoid-arthritis-patients-prima-102/. Accessed .
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