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.