Chromosome structural variation analysis reveals lung cancer-associated gene regulatory networks in rheumatoid arthritis patients

Read full text
Authors: Heng Li, Liping Ding, Rui Liao, Nini Li, Xiaoping Hong, Zhenyou Jiang, Dongzhou Jeffrey Liu
Cited by: 0

Abstract

Abstract Background Chromosomal structural variations (CSVs) that comprise multiple gene mutations are important determinants for multiple diseases. However, the relationship between CSVs, rheumatoid arthritis (RA), and lung cancer is not well understood. Materials and methods In this study, we analyzed CSV associations and differences between RA and RA with lung cancer (RA LC) using genome sequencing, with RA-associated interstitial lung disease (RA ILD) as a disease control. First, we analyzed the CSVs of each individual. Then, we identified common CSVs within each disease group and finally analyzed specific CSVs between different diseases. Gene Ontology/KEGG terms, canonical pathways, and feature gene sets were used for the functional annotation and analysis of CSV-related pathways. Results Cell size regulation and axon guidance were mutated in all disease groups. Protein deubiquitination was mutated in RA LC, while the negative regulation of extractable stroma and protein catabolism was mutated in RA ILD. Characterization of clinical data also revealed correlations with these specific pathways. Conclusion This study identifies common and specific CSVs and associated pathways for RA, LC, and ILD, uncovering key genetic factors that provide new insights into their diagnosis and treatment.

Fields of Study & Subjects

Rheumatoid Arthritis Research and Therapies Genomic variations and chromosomal abnormalities Cancer Genomics and Diagnostics

Publication details

Journal / source
Figshare
Publication date
1 January 2026