ArticleFrontiers in immunology2022
Identification of biomarkers associated with CD8+ T cells in rheumatoid arthritis and their pan-cancer analysis.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Associations between immune cell phenotypes and lung cancer subtypes: insights from mendelian randomization analysis.BMC pulmonary medicine · 2024Pooled it
- Integrating machine learning and single-cell sequencing to identify shared biomarkers in type 1 diabetes mellitus and clear cell renal cell carcinoma.Frontiers in oncology · 2025Article
- From molecular subgroups to molecular targeted therapy in rheumatoid arthritis: A bioinformatics approach.Heliyon · 2024Article
- Construction of shared gene signature between rheumatoid arthritis and lung adenocarcinoma helps to predict the prognosis and tumor microenvironment of the LUAD patients.Frontiers in molecular biosciences · 2023Article
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Authors and funding
7 authors.
Funding
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Abstract
Introduction: Rheumatoid arthritis (RA), a prevailing chronic progressive autoimmune disease, seriously affects the patient's quality of life. However, there is still a lack of precise treatment and management methods in clinical practice. Previous studies showed that CD8+ T cells take a lead in the progression of RA. Methods: Genes closely related to CD8+T cells in RA were identified through multiple RA datasets, CIBERSORT, and WGCNA algorithms. Further machine learning analysis were performed to identify CD8+T cell-related genes most closely related to RA. In addition, the relationship between these three key genes and 33 cancer species was also explored in this study. Results: In this study, 10 genes were identified to be closely related to CD8+T cells in RA. Machine learning analysis identified 3 CD8+T cell-related genes most closely related to RA: CD8A, GZMA, and PRF1. Discussion: Our research aims to provide new ideas for the clinical treatment of RA.
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