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Abstract Number: 1691

Treatment Response Biomarkers for Systemic Sclerosis-Associated Interstitial Lung Disease

Elizabeth Volkmann1, Holly Wilhalme2, Donald Tashkin2, Grace Kim2, Jonathan Goldin2, Alana Haussmann2, Masataka Kuwana3, Michael Roth2 and Shervin Assassi4, 1University of California, Department of Medicine, Los Angeles, CA, USA, Los Angeles, 2UCLA, Los Angeles, 3Department of Allergy and Rheumatology, Nippon Medical School, Tokyo, Japan, Tokyo, Japan, 4UTHealth Houston Division of Rheumatology, Houston, TX

Meeting: ACR Convergence 2024

Keywords: Biomarkers, interstitial lung disease, Scleroderma, Systemic

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Session Information

Date: Sunday, November 17, 2024

Title: Abstracts: Systemic Sclerosis & Related Disorders – Clinical I

Session Type: Abstract Session

Session Time: 1:00PM-2:30PM

Background/Purpose: Despite the expanding treatment landscape for systemic sclerosis-associated interstitial lung disease (SSc-ILD), the lack of early and valid treatment response biomarkers (measurable in the circulation), may lead to delays in the initiation of effective therapies for SSc-ILD. The present study aimed to identify treatment response biomarkers for SSc-ILD by measuring changes in a select group of circulating biomarkers of inflammation, fibrosis, and epithelial injury after 12 months of therapy with either mycophenolate (MMF) or cyclophosphamide (CYC) and determining whether changes in these biomarkers predicted the likelihood of progressive pulmonary fibrosis (PPF) during the following year.

Methods: Participants of Scleroderma Lung Study (SLS) II, which compared MMF versus CYC for SSc-ILD, who had blood samples at baseline and 12-months were included. Levels for C-reactive protein (CRP), interleukin (IL)-6, chemokine ligand 4 (CXCL4), chemokine ligand 18 (CCL18) and Krebs von den Lungen 6 (KL-6) were measured, and a logistic regression analysis was created to determine relationships between changes in these biomarkers and the development of PPF (based on physiologic, radiologic and symptomatic changes) by 24 months.

Results: Ninety-two of the 142 randomized participants had longitudinal biomarker measurements and the required clinical outcome data, with 19 (21%) meeting criteria for PPF. In the whole cohort, changes in KL-6 levels were significantly correlated with PPF. KL-6 increased in patients who developed PPF and decreased in patients who did not (Mean change 365.68 [SD 434.41]) vs -207.45 [SD 670.26]; P< 0.001; Figure 1). In the MMF alone arm, changes in CRP (Figure 2) and CXCL4 were also significantly correlated with PPF. When added to an existing prediction model based on baseline factors associated with PPF in this cohort (sex, baseline reflux severity and CXCL4 levels [1]), the change in KL-6 remained significantly associated with PFF (OR 1.4; P=0.0002), and sensitivity of the model improved from 68% to 95% (Table 1).

Conclusion: Changes in the circulating levels of KL-6 after treatment with MMF or CYC predicted PPF, even after adjusting for baseline factors associated with PPF. Measuring longitudinal KL-6 in patients with SSc-ILD may improve how we personalize therapy in patients with SSc-ILD.
References: 1. Volkmann ER, et al. ACR Open Rheumatol 2023.

Supporting image 1

Figure 1. Change in KL-6 at 12 months in patients who developed PPF (red) and those who did not develop PPF (blue) in the following 12 months in the both treatment arms.

Supporting image 2

Figure 2. Change in CRP at 12 months in patients who developed PPF (red) and those who did not develop PPF (blue) during the following 12 months in the MMF alone arm.

Supporting image 3


Disclosures: E. Volkmann: AbbVie, 2, Boehringer-Ingelheim, 2, 5, 6, GSK, 2, 5, Horizon, 5, Kadmon, 5, Prometheus, 5; H. Wilhalme: None; D. Tashkin: None; G. Kim: UCLA, 10, Voiant, 2; J. Goldin: MedQIA, 12, Founder; A. Haussmann: None; M. Kuwana: Asahi Kasei Pharma, 6, AstraZeneca, 2, Boehringer Ingelheim, 2, 6, Chugai, 2, 6, GSK, 2, MBL, 9, Ono Pharmaceuticals, 6; M. Roth: Genentech, 5; S. Assassi: AstraZeneca, 2, aTyr, 2, 5, BMS, 2, Boehringer-Ingelheim, 2, 5, CSL Behring, 2, Janssen, 5, Merck/MSD, 2, TeneoFour, 2.

To cite this abstract in AMA style:

Volkmann E, Wilhalme H, Tashkin D, Kim G, Goldin J, Haussmann A, Kuwana M, Roth M, Assassi S. Treatment Response Biomarkers for Systemic Sclerosis-Associated Interstitial Lung Disease [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/treatment-response-biomarkers-for-systemic-sclerosis-associated-interstitial-lung-disease/. Accessed .
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