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Updated: Sep 20, 2025

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
Peripheral Blood Gene Expression Profiling and Prognostic Significance for the Course of Interstitial Lung Disease in
Shervin Assassi1, Christopher P Denton2, Matthias Zwick3
1University of Texas Health Science Center at Houston.
Objective:
We used data from the placebo arm of the Safety and Efficacy of Nintedanib in Systemic Sclerosis (SENSCIS) trial to determine the prognostic/predictive significance of peripheral blood cell (PBC) transcript modules for the course of forced vital capacity (FVC) in patients with systemic sclerosis-associated interstitial lung disease (SSc-ILD) with and without mycophenolate mofetil (MMF) treatment.
Methods:
Patients had SSc-ILD with first non-Raynaud symptom within 7 years. MMF treatment was permitted if taken at a stable dose for ≥6 months. PBC RNA samples were taken at baseline. Global RNA sequencing was performed, followed by a modular analysis using 62 curated whole blood modules. The prognostic significance of baseline composite modular scores for decline in FVC% predicted at week 52 was analyzed using mixed models for repeated measures.
Results:
Among patients taking MMF (n = 120), higher baseline lymphoid lineage and mitochondrial/protein synthesis modules were associated with a better course of FVC% predicted, whereas higher baseline myeloid lineage and inflammation modules were associated with a faster decline in FVC% predicted. Among patients not taking MMF (n = 118), only myeloid lineage and inflammation modules were associated with a faster decline in FVC% predicted.
Conclusion:
Among patients with SSc-ILD in the SENSCIS trial, PBC modules involved in myeloid lineage were associated with a faster decline in FVC regardless of MMF treatment. Higher baseline lymphoid, protein synthesis, and mitochondrial module scores were associated with a better course of SSc-ILD among patients receiving MMF treatment. Blood gene expression profiles might be useful prognostic/predictive biomarkers in patients with SSc-ILD.
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