A genomic meta-analysis of clinical variables and their association with intrinsic molecular subsets in systemic sclerosis.

ABSTRACT:

Objectives

Four intrinsic molecular subsets (inflammatory, fibroproliferative, limited, normal-like) have previously been identified in SSc and are characterized by unique gene expression signatures and pathways. The intrinsic subsets have been linked to improvement with specific therapies. Here, we investigated associations between baseline demographics and intrinsic molecular subsets in a meta-analysis of published datasets.

Methods

Publicly available gene expression data from skin biopsies of 311 SSc patients measured by DNA microarray were classified into the intrinsic molecular subsets. RNA-sequencing data from 84 participants from the ASSET trial were used as a validation cohort. Baseline clinical demographics and intrinsic molecular subsets were tested for statistical

SUBMITTER: Franks JM 

PROVIDER: S-EPMC9788818 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature