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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: Curr Opin Rheumatol. 2019 Nov;31(6):595–602. doi: 10.1097/BOR.0000000000000656

Table 2.

Skin gene expression-based prognostic or predictive biomarkers

Reference Biomarker Population Type of marker Summary of findings
Stifano et al. [25] Skin expression levels of
CD14, IL13RA1, SERPINE1,
OSMR, and CTGF
Placebo arm of clinical trial Prognostic High expression at baseline predicted worsening mRSS
Moon et al. [26] ‘Clusters’ based on skin gene expression profiles Placebo arm of clinical trial Prognostic Improved mRSS in patients in the inflammatory/immune
cluster
Hinchcliff et al. [27] ‘Intrinsic subsets’ of patients based on skin gene
expression profiles
S. Cohort (Northwestern) Predictive mRSS improvement during MMF treatment more likely in inflammatory and mixed inflammatory/ fibroproliferative subsets
Higgs et al. [28] Plasma cell gene expression signature in skin Phase I trial of inebilizumab (anti-CD19) Predictive Increased plasma cell signature at baseline associated with greater mRSS improvement during anti-CD19 treatment
Martyanov et al. [29] SASP gene expression signature in skin SSc-ILD patients in single-arm trial of dasatinib Predictive High baseline SASP signature associated with greater
mRSS improvement during treatment

ILD, interstitial lung disease; MMF, mycophenolate mofetil; mRSS, modified Rodnan skin score; SASP, senescence-associated secretory phenotype; SSc, systemic sclerosis.