From molecular subgroups to molecular targeted therapy in rheumatoid arthritis: A bioinformatics approach
The classification of the RA dataset revealed pathological heterogeneity among different subgroups, providing new insights and a basis for understanding the molecular mechanisms of RA, identifying potential therapeutic targets, and developing personalized treatment approaches.
Authors
- Tengyan Wang (ORCID: https://orcid.org/0000-0003-2372-0935)
- Zhenyu Yang (ORCID: https://orcid.org/0000-0003-1458-6834)
- Zhencheng Feng (ORCID: https://orcid.org/0000-0002-8886-5986)
- Siming Li (ORCID: https://orcid.org/0000-0002-2264-4443)
- Liqiong Hu
- Tianming Dai
- Yangyang Xu (ORCID: https://orcid.org/0000-0001-8448-1443)
- Songsong Jiao
- Qinqqi Meng
- Jiangfei Zhou
Institutions
- Jiangsu University (CN)
- Guiyang Medical University (CN)
- Jinan University (CN)
- Xuzhou Cancer Hospital (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e35774
- Citations
- 1
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.47