Unique ID issued by UMIN | UMIN000016298 |
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Receipt number | R000018909 |
Scientific Title | Non-interventional retrospective observation study for pretretment prediction of rheumatoid arthritis patients' response to anti-cytokine therapy using serum cytokine / chemkine / soluble receptor biomarkers |
Date of disclosure of the study information | 2015/01/21 |
Last modified on | 2015/01/23 16:15:23 |
Non-interventional retrospective observation study for pretretment prediction of rheumatoid arthritis patients' response to anti-cytokine therapy using serum cytokine / chemkine / soluble receptor biomarkers
Retrospective observation study for prediction of response in RA before anti-cytokine therapy
Non-interventional retrospective observation study for pretretment prediction of rheumatoid arthritis patients' response to anti-cytokine therapy using serum cytokine / chemkine / soluble receptor biomarkers
Retrospective observation study for prediction of response in RA before anti-cytokine therapy
Japan |
Rheumatoid arthritis
Clinical immunology |
Others
NO
Selection of biomarkers in pretreatment serum which predicts the therapeutic response
Others
Personal response to the therapy is able to predict using the selected biomarkers
Exploratory
Pragmatic
Not applicable
A patient can select an effective therapeutic reagent indivisually
A patient predicts the clinical response before therapy using pretreatment biomarkes in serum
Observational
Not applicable |
Not applicable |
Male and Female
Patients with Rheumatoid arthritis (RA) who failed prior methotrexate treatment.
They are treated with Tocilizumab or Etanercept over 16 weeks
RA patients treated with Tocilizumab or Etanercept within 16 weeks
150
1st name | |
Middle name | |
Last name | Kazuyuki Yoshizaki |
Osaka University
Graduate School of Engineering
6-2-3 Furuedai, Suita, Osaka
06-6872-7460
kyoshi@chem.eng.osaka-u.ac.jp
1st name | |
Middle name | |
Last name | Kazuyuki Yoshizaki |
Osaka University
Graduate School of Engineering
6-2-3 Furuedai, Suita, Osaka
06-6872-7460
kyoshi@chem.eng.osaka-u.ac.jp
Graduate School of Engineering,Osaka University
Osaka University
Japan
NO
東広島記念病院(広島県)
2015 | Year | 01 | Month | 21 | Day |
Unpublished
In this observational and non-interventional retrospective cohort study, we measured 31 cytokines/chemokines/soluble receptors in 138 RA patients pre-treatment serum. Patients (naive and non-naive to anti-cytokine therapy) were administered tocilizumab or etanercept therapy, between 2008 and 2013, and using this data, we selected and identified biomarkers that correlated with patients symptom levels (DAS28CRP score) 16 weeks after their treatment began using multiple linear regression analysis and biomarkers that correlated with patients final outcome using multiple logistic analysis. The results revealed that sgp130 and other seven factors serum levels before tocilizumab therapy were potential biomarkers to predict naive patients week 16 DAS-CRP score. On the other hand, sgp130 and other two factors were predictive biomarkers for non-naive patients. Additionally, logIL-9 and other two factors were found to be less reliable biomarkers to predict the week 16 DAS28-CRP score in naive patients treated with etanercept.
Completed
2009 | Year | 09 | Month | 08 | Day |
2009 | Year | 09 | Month | 20 | Day |
2012 | Year | 08 | Month | 18 | Day |
2012 | Year | 12 | Month | 11 | Day |
2013 | Year | 06 | Month | 26 | Day |
2014 | Year | 06 | Month | 01 | Day |
Since this study is confirmed as a non-interventional retrospective observation study and the prediction markers for therapeutic response are detected, the study title, correlation of pre-treatment cytokine profile of the RA patient and the therapeutic response to biologics, at the judgment of the ethical committee is changed to the title at UMIN registration.
We discovered highly reliable biomarkers in RA serum that could predict their week 16 DAS28-CRP score and clinical outcome before they underwent tocilizumab therapy. Although less reliable than those for tocilizumab, we identified a few possible biomarkers for etanercept therapy. The predictive biomarkers for these two therapies differ which means their suitability will vary for individual patients. Most of the predictive biomarkers identified for tocilizumab, especially sgp130, are involved in RA pathogenesis, which further suggests that they are highly reliable.
2015 | Year | 01 | Month | 21 | Day |
2015 | Year | 01 | Month | 23 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000018909
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