Functional Characterization of Thrombopoietin/cMPL Receptor Mutations in Myeloproliferative Neoplasia
NCT ID: NCT06246006
Last Updated: 2024-02-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
30 participants
OBSERVATIONAL
2023-10-01
2025-04-30
Brief Summary
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Next generation sequencing technology has been used to study the complete MPL gene, identifying numerous variants, most of unknown significance. The study investigators have a series comprising 41 variants of unknown significance, whose allelic frequencies suggest a germline origin for 80% of them. Their distribution within the MPL gene is similar to that of inactivating mutations, except that they were discovered in the context of suspected myeloproliferative disease. Characterizing the activity of these variants would confirm the diagnosis of MPN, opening the door to specific treatment (cytoreductive, JAK2 inhibitor or interferon). It also has an important prognostic value, particularly in the case of MPN, for which life expectancy varies from 5 to 7 years, with terminal progression to acute myeloid leukemia (AML in 15 to 20% of cases) or bone marrow failure.
Using a battery of functional assays, this study aims to characterize these variants.
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
RETROSPECTIVE
Study Groups
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Patients with suspected MPN
Gene sequencing
Next generation sequencing of candidate genes (JAK2, cMPL, CALR, ASXL1 and NF-E2)
Interventions
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Gene sequencing
Next generation sequencing of candidate genes (JAK2, cMPL, CALR, ASXL1 and NF-E2)
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
99 Years
ALL
No
Sponsors
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Centre Hospitalier Universitaire de Nīmes
OTHER
Responsible Party
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Principal Investigators
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Serge Carillo
Role: PRINCIPAL_INVESTIGATOR
CHU de Nimes
Locations
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CHU de Nîmes
Nîmes, , France
Countries
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Other Identifiers
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NIMAO/2023-1/SC01
Identifier Type: -
Identifier Source: org_study_id
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