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A novel gene-expression-signature-based model for prediction of response to Tripterysium glycosides tablet for rheumatoid arthritis patients
BACKGROUND: Approximately 30% of rheumatoid arthritis (RA) patients treated with Tripterysium glycosides (TG) tablets fail to achieve clinical improvement, implying the essentiality of predictive biomarkers and tools. Herein, we aimed to identify possible biomarkers predictive of therapeutic effects...
Autores principales: | Zhang, Yanqiong, Wang, Hailong, Mao, Xia, Guo, Qiuyan, Li, Weijie, Wang, Xiaoyue, Li, Guangyao, Lin, Na |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032531/ https://www.ncbi.nlm.nih.gov/pubmed/29973208 http://dx.doi.org/10.1186/s12967-018-1549-9 |
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