Early quantification of systemic inflammatory-proteins predicts long-term treatment response to Tofacitinib and Etanercept: Psoriasis response predictions using blood.
暂无分享,去创建一个
H. Valdez | M. Suárez-Fariñas | L. Fitz | J. Krueger | R. Wolk | J. Correa da Rosa | L. Tomalin | Julie Lee | Jaehwan Kim | G. Berstein
[1] H. Valdez,et al. Reduction of Inflammatory and Cardiovascular Proteins in the Blood of Patients with Psoriasis: Differential Responses between Tofacitinib and Etanercept after 4 Weeks of Treatment. , 2017, The Journal of investigative dermatology.
[2] J. Krueger,et al. Psoriasis pathogenesis and the development of novel targeted immune therapies , 2017, The Journal of allergy and clinical immunology.
[3] S. Tian,et al. Shrinking the Psoriasis Assessment Gap: Early Gene-Expression Profiling Accurately Predicts Response to Long-Term Treatment. , 2017, The Journal of investigative dermatology.
[4] J. Krueger,et al. Highly Effective New Treatments for Psoriasis Target the IL-23/Type 17 T Cell Autoimmune Axis. , 2017, Annual review of medicine.
[5] S. Friend,et al. Crowdsourcing biomedical research: leveraging communities as innovation engines , 2016, Nature Reviews Genetics.
[6] G. Yancopoulos,et al. Targeting key proximal drivers of type 2 inflammation in disease , 2015, Nature Reviews Drug Discovery.
[7] B. Strober,et al. Phase 3 Studies Comparing Brodalumab with Ustekinumab in Psoriasis. , 2015, The New England journal of medicine.
[8] S. Chimenti,et al. Tofacitinib versus etanercept or placebo in moderate-to-severe chronic plaque psoriasis: a phase 3 randomised non-inferiority trial , 2015, The Lancet.
[9] S. Chimenti,et al. Apremilast, an oral phosphodiesterase 4 (PDE4) inhibitor, in patients with moderate to severe plaque psoriasis: Results of a phase III, randomized, controlled trial (Efficacy and Safety Trial Evaluating the Effects of Apremilast in Psoriasis [ESTEEM] 1). , 2015, Journal of the American Academy of Dermatology.
[10] Nci Dream Community. A community effort to assess and improve drug sensitivity prediction algorithms , 2014 .
[11] B. Elewski,et al. Secukinumab in plaque psoriasis--results of two phase 3 trials. , 2014, The New England journal of medicine.
[12] J. Stenvang,et al. Homogenous 96-Plex PEA Immunoassay Exhibiting High Sensitivity, Specificity, and Excellent Scalability , 2014, PloS one.
[13] Laura M. Heiser,et al. A community effort to assess and improve drug sensitivity prediction algorithms , 2014, Nature Biotechnology.
[14] F. Villanova,et al. Biomarkers in psoriasis and psoriatic arthritis , 2013, Annals of the rheumatic diseases.
[15] Shahar Barbash,et al. Statistically invalid classification of high throughput gene expression data , 2013, Scientific Reports.
[16] Robert Tibshirani,et al. Classification of patients from time-course gene expression. , 2013, Biostatistics.
[17] R. Dellavalle,et al. The role of systematic reviews and meta-analysis in dermatology. , 2012, The Journal of investigative dermatology.
[18] A. Troxel,et al. Comparative effectiveness of commonly used systemic treatments or phototherapy for moderate to severe plaque psoriasis in the clinical practice setting. , 2012, Archives of dermatology.
[19] Vanessa B. Sequeira,et al. The role of the vitamin D receptor and ERp57 in photoprotection by 1α,25-dihydroxyvitamin D3. , 2012, Molecular endocrinology.
[20] A. Towse,et al. The R&D Cost of a New Medicine , 2012 .
[21] M. Suárez-Fariñas,et al. Resolved psoriasis lesions retain expression of a subset of disease-related genes. , 2011, The Journal of investigative dermatology.
[22] Xin Wang,et al. Bioinformatics Applications Note Systems Biology Htsanalyzer: an R/bioconductor Package for Integrated Network Analysis of High-throughput Screens , 2022 .
[23] Charles C. Persinger,et al. How to improve R&D productivity: the pharmaceutical industry's grand challenge , 2010, Nature Reviews Drug Discovery.
[24] Lisa C. Zaba,et al. Th17 cytokines interleukin (IL)‐17 and IL‐22 modulate distinct inflammatory and keratinocyte‐response pathways , 2008, The British journal of dermatology.
[25] Elizabeth J Horn,et al. National Psoriasis Foundation clinical consensus on psoriasis comorbidities and recommendations for screening. , 2008, Journal of the American Academy of Dermatology.
[26] S. Timmermans,et al. The promises and pitfalls of evidence-based medicine. , 2005, Health affairs.
[27] Ian H. Witten,et al. Issues in Stacked Generalization , 2011, J. Artif. Intell. Res..
[28] Peter Clark,et al. Rule Induction with CN2: Some Recent Improvements , 1991, EWSL.