CML Pediatric ITK Response According to Molecular Identification at Diagnosis

NCT ID: NCT05605379

Last Updated: 2024-08-14

Study Results

Results pending

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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Recruitment Status

RECRUITING

Total Enrollment

88 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-02-27

Study Completion Date

2025-03-31

Brief Summary

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Treatment of chronic myeloid leukemia (CML) has been revolutionized by tyrosine kinase inhibitor (TKI). Nevertheless, case of failure and suboptimal response are still observed even in children. Pediatric CML is a rare disease and differs from adult in terms of disease presentation and treatment response underlying a likely different CML biology. Molecular mechanisms that induce resistance to TKI are still poorly characterized except mutations in the tyrosine kinase domain of BCR::ABL1. We propose to search for a molecular signature to predict the response to TKI in the pediatric population.

Detailed Description

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Commonly mutated genes associated with myeloid malignancies have been described in acceleration phase and blastic phase but also at diagnostic in adult chronic phase-CML (CP-CML). The impact of these mutations on treatment response is still debated but several studies observed a worse outcome in adult patients with some mutations. In children only one study explored the molecular status of 30 genes in 21 children and young adults. They found a higher proportion of ASXL1 mutations in children than in adult They did not observed any significant difference in overall survival of ASXL1 mutated versus non-mutated patients but probably due the small size of the cohort. We propose here, to investigate retrospectively on DNA at diagnosis of 88 CP-CML children the mutation status of 64 genes by next generation sequencing and to see if there is an association with the response to TKI treatment. We will complete the molecular signature by analyzing the differentially genetic expression profile by RNA-seq on peripheral blood RNA of 8 patients with CCR at 12 months (and/or a BCR ::ABL1 IS ≤1%IS) and 8 patients with no CCR at 12 months.

Conditions

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Chronic Myeloid Leukemia

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Responders (with CCR at 1 year)

Next Generation Sequencing (DNA and RNA)

Intervention Type BIOLOGICAL

Targeted Next Generation Sequencing (DNA and RNA)

No responders (without CCR at 1 year)

Next Generation Sequencing (DNA and RNA)

Intervention Type BIOLOGICAL

Targeted Next Generation Sequencing (DNA and RNA)

Interventions

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Next Generation Sequencing (DNA and RNA)

Targeted Next Generation Sequencing (DNA and RNA)

Intervention Type BIOLOGICAL

Eligibility Criteria

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Inclusion Criteria

* Age at diagnosis less than or equal to 18 years
* Presence of a Philadelphia chromosome detected by cytogenetic analysis (conventional karyotype or Fluorescence In Situ Hybridization (FISH)) and a BCR ::ABL1 transcript e13a2 ou e14a2
* Diagnosis in chronic phase according to the European Leukemia Net (ELN) criteria
* First-line treatment with TKIs
* Possible pre-treatment with hydroxyurea
* DNA available at diagnosis
* RNA available for a sub-group patients (8 responders vs 8 no responders)

Exclusion Criteria

* Age at diagnosis more than 18 years
* Diagnosis in accelerated phase or blastic phase
* First line treatment other than TKI
Minimum Eligible Age

6 Years

Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Bordeaux

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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CHU de Bordeaux, Service Hématologie Biologique

Bordeaux, , France

Site Status RECRUITING

Countries

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France

Central Contacts

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Stéphanie DULUCQ

Role: CONTACT

05 57 82 14 98

Facility Contacts

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Stéphanie DULUCQ

Role: primary

Other Identifiers

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CHUBX 2022/44

Identifier Type: -

Identifier Source: org_study_id

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