The objective of the study is to establish the predictive value of early blood gene expression signature of Benralizumab response associated with a significant reduction of the number of exacerbations in treated severe asthmatic patients. This trial is a French, multicenter and no-randomized trial. Patients enrolled will be clinically followed for 16 months (the treatment period: 12 months and 1 month follow-up; 6 clinical visit on site and in phone call at 13 months)
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
220
Patients receive BENRALIZUMAB if they meet the criteria for inclusion and non-inclusion at the inclusion visit. Injections take place at the inclusion visit, at 1 month, 2 months, 4 months, 6 months, 8 months, 10 months and 12 months.
Centre hospitalier Intercommunal Aix-en-Provence
Aix-en-Provence, France
RECRUITINGCHU Angers
Angers, France
Predictive value of early blood gene expression signature of Benralizumab
To establish the predictive value of early blood gene expression signature of Benralizumab response associated with a significant reduction of the number of exacerbations in treated severe asthmatic patients. We will evaluate an early blood gene expression signature of Benralizumab response through a clinically relevant reduction of the number of exacerbations at month 12 (M12).
Time frame: 12 months
Molecular signature predictive of stabilization
To establish at M0 (baseline) a molecular signature predictive of stabilization in severe asthmatic patients treated by Benralizumab. At M0 a composite blood molecular signature predictive of reduction of the exacerbation rate at M12 in severe asthmatic patients treated by Benralizumab will be assessed. The definition of stable class of patients (low category) is used as a target for the prediction. The methods used for the primary objective are applied to secondary objective using similar input data on a different 3-class prediction target.
Time frame: 12 months
The stability of the signature over time
To evaluate the stability of the signature over time (from early at M0, M3, to late prediction at M6 and M9) considering patient trajectories. The significance of center and the relevance of time dependent modelling will be evaluated using generalised mixed models on independently established molecular response signature. It is expected a robust and reproducible gene expression to assess the inter and intra-individual trajectories of the signature over time and across centers (from early at M0 and M3, to late prediction at M6 and M9).
Time frame: 0 month, 3 months, 6 months and 9 months
The association of gene expression patterns
To evaluate the association of gene expression patterns with both objective and subjective improvement. Correlations network between blood gene expression of Benralizumab significant response will be assessed thanks to weighted gene correlation network analysis (gene co-expression network analysis (WGCNA)) with an expected increase in forced expiratory volume at one second (FEV1) + Asthma Quality of Life Questionnaire (AQLQ) + peak-flow values and expected decrease of Asthma Control Questionnaire-7 items (ACQ-7), -6 items (ACQ-6) scores.
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CHU Bordeaux
Bordeaux, France
RECRUITINGCHRU Brest
Brest, France
RECRUITINGCHU Dijon
Dijon, France
RECRUITINGCHU Grenoble
Grenoble, France
RECRUITINGHôpital Bicêtre - AP-HP
Le Kremlin-Bicêtre, France
RECRUITINGCH Mans
Le Mans, France
WITHDRAWNCHU Lille
Lille, France
WITHDRAWNHospices Civils de Lyon
Lyon, France
RECRUITING...and 10 more locations
Time frame: 12 months
Association of gene expression patterns and clinical characteristics
To evaluate association of gene expression patterns at M0 (baseline) and clinical characteristics of frequent exacerbations. Correlations network between blood gene expression at M0 and clinical characteristics of frequent exacerbations will be assessed thanks to WGCNA.
Time frame: 0 months
Stratification value of gene expression in severe asthma
To assess the stratification value of gene expression in severe asthma and its correlation with clinical subgroups and clinically meaningful variables such as number of exacerbations. Correlation network between stratification value of gene expressions in severe asthma and its correlation with clinical subgroups will be assessed thanks to WGCNA. This analysis is based on pairwise correlations between genetic variables and clinical variables underlying the amount of overall variance captured by high dimensional gene expression datasets.
Time frame: 12 months
Scenario-based cost-utility analysis
To conduct a scenario-based cost-utility analysis.Concerning cost-utility analysis, two strategies of treatment with Benralizumab will be compared: the first one will consider a strategy not using an early blood gene expression signature of Benralizumab response and the second will consider a simulated strategy using an early blood gene expression signature of Benralizumab response.
Time frame: 12 months