Identification of the shared gene signatures and molecular mechanisms between multiple sclerosis and non-small cell lung cancer.

ABSTRACT:

Introduction

The association between multiple sclerosis (MS) and non-small cell lung cancer (NSCLC) has been the subject of investigation in clinical cohorts, yet the molecular mechanisms underpinning this relationship remain incompletely understood. To address this, our study aimed to identify shared genetic signatures, shared local immune microenvironment, and molecular mechanisms between MS and NSCLC.

Methods

We selected multiple Gene Expression Omnibus (GEO) datasets, including GSE19188, GSE214334, GSE199460, and GSE148071, to obtain gene expression levels and clinical information from patients or mice with MS and NSCLC. We employed Weighted Gene Co-expression Network Analysis (WGCNA) to investigate co-expression networks linked to MS and NSCLC and used single-cell RNA s

SUBMITTER: Yang J 

PROVIDER: S-EPMC10213509 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature