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| Name | Class |
|---|---|
| AstraZeneca | INDUSTRY |
| Ministère de la Santé - France | UNKNOWN |
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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)
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| BENRALIZUMAB | Experimental | 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. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Benralizumab Prefilled Syringe | Drug | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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). | 12 months |
| Measure | Description | Time Frame |
|---|---|---|
| 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. |
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Inclusion Criteria:
Patients between 18 and 75 years old.
Patients diagnosed with severe asthma (Chung and al, Eur Respir J 2014), i.e.:
Documented historical reversibility of FEV1 ≥12% and FEV1 gain ≥ 200 milliliter
ACQ-7 score ≥ 1,5 at M0.
≥ 3 exacerbations in the 12 months prior to screening visit M-1.
Eosinophil blood count ≥ 0,3 G/L at inclusion visit or in the 12 months prior to the inclusion visit. If eosinophil blood count is ≥ 0,15 G/L and < 0,3 G/L, an eosinophilic phenotype defined by at least 1 of the following criteria will be required:
Patients who provide written informed consent prior to participation in the study
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| François-Xavier BLANC, MD-PHD | Contact | +33240165545 | xavier.blanc@chu-nantes.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centre hospitalier Intercommunal Aix-en-Provence | Recruiting | Aix-en-Provence | France |
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| ID | Term |
|---|---|
| D011657 | Pulmonary Eosinophilia |
| D001249 | Asthma |
| ID | Term |
|---|---|
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D017681 | Hypereosinophilic Syndrome |
| D004802 | Eosinophilia |
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| 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). | 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. | 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. | 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. | 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. | 12 months |
| CHU Angers | Recruiting | Angers | France |
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| CHU Bordeaux | Recruiting | Bordeaux | France |
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| CHRU Brest | Recruiting | Brest | France |
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| CHU Dijon | Recruiting | Dijon | France |
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| CHU Grenoble | Recruiting | Grenoble | France |
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| Hôpital Bicêtre - AP-HP | Recruiting | Le Kremlin-Bicêtre | France |
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| CH Mans | Withdrawn | Le Mans | France |
| CHU Lille | Withdrawn | Lille | France |
| Hospices Civils de Lyon | Recruiting | Lyon | France |
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| Assistance Publique des Hôpitaux de Marseille | Not yet recruiting | Marseille | France |
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| CHU Montpellier | Withdrawn | Montpellier | France |
| CHU Nantes | Recruiting | Nantes | France |
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| CHR Orléans | Recruiting | Orléans | France |
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| Hôpital Bichat - AP-HP | Recruiting | Paris | France |
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| CHU Rouen | Withdrawn | Rouen | France |
| CHU Strasbourg | Recruiting | Strasbourg | France |
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| Hôpital FOCH | Recruiting | Suresnes | France |
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| CHU Toulouse | Recruiting | Toulouse | France |
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| Médipôle Hôpital Mutualiste de Villeurbanne | Recruiting | Villeurbanne | France |
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| D007960 |
| Leukocyte Disorders |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
| D001982 | Bronchial Diseases |
| D008173 | Lung Diseases, Obstructive |
| D012130 | Respiratory Hypersensitivity |
| D006969 | Hypersensitivity, Immediate |
| D006967 | Hypersensitivity |
| D007154 | Immune System Diseases |