Monitoring Minimal Residual Disease(MRD)in Pediatric B-acute Lymphoblastic Leukemia

NCT ID: NCT04977895

Last Updated: 2021-07-27

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

255 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-01-30

Study Completion Date

2026-01-30

Brief Summary

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This study aimed to investigate the performance of next-generation sequencing (NGS) techniques measuring immunoglobulin heavy chain (IgH)-variable, diversity, and joining (V\[D\]J) clonal rearrangements (IgH-V\[D\]J NGS) compared with flow cytometry (FCM) in detecting of minimal residual disease (MRD) for children with acute lymphoblastic leukemia treated with South Chinese Children Leukemia Group (SCCLG)-ALL 2016, and to predict the relapse of the disease in the early stage and to assess the prognosis, so as to provide the basis for early intervention treatment and reduce the hematological relapse and improve the survival rate.

Detailed Description

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The measurement of residual leukemia levels, "minimal residual disease" (MRD), during therapy has now emerged as the most important predictor the outcome in acute lymphoblastic leukemia (ALL). As a result, risk-classifications based on MRD assessment has become an essential part of determining disease risk and directing therapeutic approach for children and adults with ALL.

Recently, next-generation sequencing (NGS) techniques measuring immunoglobulin (Ig) or T-cell receptor (TCR) clonal rearrangements as a method of detecting MRD have been introduced. These approaches expand the sensitivity of MRD detection to as high as 1 in 10,000,000 cells and have been shown to be predictive of relapse in children with ALL receiving standard chemotherapy.

In this study, the investigators will determine the sensitivity and specificity of IgH-V(D)J NGS and compared its capacity to measure MRD with that of flow cytometry using diagnostic and follow-up samples from more than 100 patients with ALL. Patients under age of 18 years with newly diagnosed ALL will be recruited and receive the treatment strategy of (SCCLG)-ALL 2016. After identifying a trackable clone in diagnostic samples (Baseline), MRD was measured using IgH-V(D)J NGS and FCM on bone marrow at 3 time-points: fifteen days after induction therapy (D15), thirty-three days after induction therapy (D33) and then at the end of induction therapy. Event-free survival (EFS), Relapse-free survival (RFS) and overall survival (OS) were assessed.

Conditions

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B Acute Lymphoblastic Leukemia

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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Minimal residual disease (MRD) monitoring

Minimal residual disease (MRD) assay using IgH-V(D)J NGS and FCM

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Age≤18 years.
2. Newly diagnosed B-ALL.
3. No previous treatment.
4. Signed informed consent in keeping with the policies of the hospital.

Exclusion Criteria

1. History of other malignancies, except in situ carcinoma or malignancy treated with curative intent.
2. Patients with active or uncontrollable infections such as hepatitis B, hepatitis C or HIV infection.
3. Patients with uncontrolled autoimmune diseases or immune defects. Other protocol-defined Inclusion/Exclusion may apply.
Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Sun Yat-sen University

OTHER

Sponsor Role lead

Responsible Party

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Yizhuo Zhang

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Yi-Zhuo Zhang, MD

Role: PRINCIPAL_INVESTIGATOR

Sun Yat-sen University

Locations

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Sun Yat-sen University Cancer Center

Guangzhou, Guangdong, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Yi-Zhuo Zhang, MD

Role: CONTACT

18622221239

Facility Contacts

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Yi-Zhuo Zhang, MD

Role: primary

18622221239

Other Identifiers

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MRD

Identifier Type: -

Identifier Source: org_study_id

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