Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with cancers.

ABSTRACT: Systemic Sclerosis (SSc) is an autoimmune disease associated with changes in the skin's structure in which the immune system attacks the body. A recent meta-analysis has reported a high incidence of cancer prognosis including lung cancer (LC), leukemia (LK), and lymphoma (LP) in patients with SSc as comorbidity but its underlying mechanistic details are yet to be revealed. To address this research gap, bioinformatics methodologies were developed to explore the comorbidity interactions between a pair of diseases. Firstly, appropriate gene expression datasets from different repositories on SSc and its comorbidities were collected. Then the interconnection between SSc and its cancer comorbidities was identified by applying the developed pipelines. The pipeline was designed as a generic workfl

SUBMITTER: Islam MK 

PROVIDER: S-EPMC8841363 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature