Leukemia, Myeloid, Acute
Conditions
Keywords
acute myeloid leukemia- refractory AML- relapsed AML- precision medecine-
Brief summary
Adult acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy associated with poor prognosis, especially after relapse. High-throughput genomic studies have highlighted the importance of molecular alteration in the pathophysiology, clinical evolution and treatment response of AML. In addition, identification of specific gene mutation can be targeted by specific inhibitors, opening the way to personalized treatments. However, only a limited number of gene mutations are druggable or actionable, highlighting the need for additional information to guide treatment choices. Among them, new Drug Screening Tests (DST) allow for the screening of library of hundreds of drugs to ex-vivo patient-derived AML cells. Combination of genomic and pharmacologic approaches might therefore improve prediction of drug effects. There is an urgent need to bring these approaches into the clinic but feasibility trials are necessary before incorporating them into treatments strategies.The proposed study is a prospective multicentre feasibility study of a combined chemo-genomic approach in patients with advanced AML.
Interventions
Bone marrow aspirate, blood sampling
Buccal swab or Hair follicles
Sponsors
Study design
Eligibility
Inclusion criteria
* Age \>18 years * Diagnosis of acute myeloid leukemia according to WHO classification * Refractory or relapsed disease * ECOG performance status of \<3 * Life expectancy \>3 months * Written informed consent * Affiliation to the French Social Security System.
Exclusion criteria
* Diagnosis of Acute Promyelocytic Leukemia. * Patients deprived of liberty or placed under the authority of a tutor.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The proportion of patients for whom a treatment tailored according to chemogenomic data could be proposed to the investigator within a 21 days time-frame in at least 30% of cases. | 24 months |
Secondary
| Measure | Time frame |
|---|---|
| Correlations between genomic alterations (identified by mutatome and transcriptome analyses) and drug sensitivity profiles | 24 months |
Countries
France