Unique ID issued by UMIN | UMIN000050670 |
---|---|
Receipt number | R000057732 |
Scientific Title | Exploration of biomarkers to predict the effects of anti TSLP antibody (Tezepelumab) in refractory asthma patients using comprehensive analyses of changes in gene expression in whole blood cells |
Date of disclosure of the study information | 2023/04/21 |
Last modified on | 2023/04/21 17:05:06 |
Exploration of biomarkers to predict the effects of anti TSLP antibody (Tezepelumab) in refractory asthma patients using comprehensive analyses of changes in gene expression in whole blood cells
Exploration of biomarkers to predict the effects of anti TSLP antibody (Tezepelumab) in refractory asthma patients using comprehensive analyses of changes in gene expression in whole blood cells
Exploration of biomarkers to predict the effects of anti TSLP antibody (Tezepelumab) in refractory asthma patients using comprehensive analyses of changes in gene expression in whole blood cells
Exploration of biomarkers to predict the effects of anti TSLP antibody (Tezepelumab) in refractory asthma patients using comprehensive analyses of changes in gene expression in whole blood cells
Japan |
Severe asthma
Pneumology |
Others
YES
To analyze association between gene expression data from whole blood cells and effect of Tezepelumab.
Efficacy
During a 4-month observation period (up to 1 year), all participants will be divided into treatment responders and non-responders using FEV1.0, ACT score, GETE score, and frequency of acute exacerbations.
1, To analyze association between gene expression data from whole blood cells and effect of Tezepelumab, first, the difference in baseline gene expression between the responder and non-responder groups will be analyzed. In addition, changes in gene expression will be analyzed before and after tezepelumab treatment in the responder group and non-responder group, or in all patients. Thereafter, a cluster analysis will be performed by integrating gene sets with changes and clinical information.
2, If important genes involved in treatment response are identified, serum protein concentrations will be measured to determine whether these can be used as biomarkers.
3, To analyze the difference in the effect of Tezepelumab between type2 severe asthma patients and non-type 2 severe asthma patients in terms of clinical and gene expression information.
4, To clarify the effect of tezepelumab in terms of TSLP genetic polymorphisms.
5, Furthermore, using the R package, Coexpression analysis and consensus clustering will be performed, and analysis that is not bound by existing clinical information will also be performed. And the correlation between genetic information and clinical information will be analyzed.
Observational
18 | years-old | <= |
Not applicable |
Male and Female
1. Severe asthma patients with 18 years or older who are scheduled to receive tezepelumab based on phsician's judge. And Tezepelumab will be treated according to the package insert
2. Patients who agree to receive tezepelumab in advance as a result of consultations with the attending physician
1. Patients with serious complications such as uncontrolled heart disease, diabetes mellitus, or gastrointestinal hemorrhage
2. Patients with active local or systemic infection requiring treatment
3. Patients with a history of serious hypersensitivity
4. Patients whose enrollment in this study is considered to be difficult due to clinically significant psychiatric disorders
5. Other patients considered ineligible for this study by the principal investigator/sub-investigator
50
1st name | Masashi |
Middle name | |
Last name | Matsuyama |
Tsukuba university hospital
Department of Respiratory Medicine
3058575
2-1-1, Amakubo, Tsukuba, Ibaraki, Japan
029-853-3144
mmatsuyama@md.tsukuba.ac.jp
1st name | Masashi |
Middle name | |
Last name | Matsuyama |
Tsukuba university hospital
Department of Respiratory Medicine
3058575
2-1-1, Amakubo, Tsukuba, Ibaraki, Japan
029-853-3144
mmatsuyama@md.tsukuba.ac.jp
Department of Respiratory Medicine, University of Tsukuba
AstraZeneca
Other
Tsukuba clinical research and development organization
2-1-1, Amakubo, Tsukuba, Ibaraki, Japan
029-853-3914
t-credo.adm@un.tsukuba.ac.jp
NO
2023 | Year | 04 | Month | 21 | Day |
Unpublished
Open public recruiting
2023 | Year | 01 | Month | 23 | Day |
2023 | Year | 01 | Month | 23 | Day |
2023 | Year | 04 | Month | 21 | Day |
2025 | Year | 03 | Month | 31 | Day |
2025 | Year | 03 | Month | 31 | Day |
2025 | Year | 03 | Month | 31 | Day |
2026 | Year | 03 | Month | 31 | Day |
The integration of information from molecular genetic analyses, such as comprehensive analyses of gene expression and analyses of gene polymorphisms, may reveal not only unknown mechanisms of action of Tezepelumab but may also lead to the elucidation of the pathophysiological mechanisms of severe asthma (particularly, non-type 2 severe asthma).
2023 | Year | 03 | Month | 24 | Day |
2023 | Year | 04 | Month | 21 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000057732