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...

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Detalles Bibliográficos
Autores principales: Zhang, Yanqiong, Wang, Hailong, Mao, Xia, Guo, Qiuyan, Li, Weijie, Wang, Xiaoyue, Li, Guangyao, Lin, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
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

Internet

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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