Construction of shared gene signature between rheumatoid arthritis and lung adenocarcinoma helps to predict the prognosis and tumor microenvironment of the LUAD patients

• DOI: 10.3389/fmolb.2023.1314753
• Publication Date: 2024-01-10T04:30:17Z
• Authors: Liping Shi; Houwen Zou; Jian Yi
• Keywords: Nomogram; Gene signature; Candidate gene

Introduction: Rheumatoid arthritis (RA) is a common chronic autoimmune disease with high incidence rate and disability rate. One of the top complications cancer, especially lung adenocarcinoma (LUAD). However, molecular mechanisms linking RA LUAD are still not clear. Therefore, in this study, we tried to identify shared genetic signatures local immune microenvironment between construct clinical model for survival prediction. Methods: We obtained gene expression profiles information patients from GEO TCGA datasets. performed differential analysis Weighted Gene Co-expression Network Analysis (WGCNA) discover genes LUAD. Then, COX regression LASSO were employed figure out significantly associated survival. qRT-PCR Western blot utilized validate level candidate genes. For application, constructed nomogram, also explored value RALUADS characterizing infiltration features by CIBERSORT xCell. Finally, responses different drug therapy predicted according RALUADS. Results: Our identified two sets differentially expressed WGCNA modules Filtered analysis, three most significant selected, CCN6, CDCA4 ERLIN1, which all upregulated tumors poor prognosis. The constituted score (RALUADS). results demonstrated that was higher tumor prognosis patients. Clinical nomogram combining other clinicopathological parameters had superior performance prediction (AUC = 0.722). further (TME) affected observed closely related sensitivity multiple blockades, chemotherapy targeted drugs. Conclusion: findings suggest there physiopathologic processes represents an excellent predictor immune-related biomarker, can be applied select potential effective drugs RA.