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Updated: Feb 17, 2026

Murine Model of Leukemia Relapse to Induction Chemotherapy for Acute Lymphoblastic Leukemia
Published on: October 17, 2025
A risk score including microdeletions improves relapse prediction for standard and medium risk precursor B-cell acute
Rosemary Sutton1,2, Nicola C Venn1, Tamara Law1
1Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Sydney, Australia.
Insights
A new risk score combining genetic deletions, minimal residual disease (MRD), and National Cancer Institute (NCI) risk improves relapse prediction in childhood acute lymphoblastic leukaemia (ALL), enhancing treatment strategies.
Area of Science:
- Pediatric Oncology
- Hematology
- Cancer Genomics
Background:
- Intensive treatment is used for high-risk pediatric acute lymphoblastic leukemia (ALL) to prevent relapse.
- However, relapses often occur in standard or medium-risk ALL patients with low minimal residual disease (MRD).
- Accurate risk stratification is crucial for optimizing treatment and improving outcomes in pediatric ALL.
Purpose of the Study:
- To identify recurrent microdeletions and clinical prognostic factors for relapse prediction in non-high-risk precursor B-cell ALL.
- To develop a refined risk stratification model beyond current MRD and NCI classifications.
- To improve therapeutic decisions and cure rates for childhood ALL.
Main Methods:
- Analysis of microdeletions and clinical factors in 475 uniformly treated non-high-risk precursor B-cell ALL patients.
- Development of a predictive risk score (RS) incorporating IKZF1 deletions, P2RY8-CRLF2 fusion, Day 33 MRD, and NCI risk.
- Evaluation of the RS model's performance against MRD-based risk stratification.
Main Results:
- Lower relapse-free survival (RFS) was significantly associated with IKZF1 deletions, P2RY8-CRLF2 fusion, elevated Day 33 MRD, and High NCI risk.
- The developed risk score (RS0, RS1, RS2+) demonstrated distinct RFS (93%, 78%, 49%) and overall survival (OS) (99%, 91%, 71%) rates.
- The RS model provided superior discrimination compared to standard MRD-based risk stratification.
Conclusions:
- The novel risk score effectively stratifies relapse risk in non-high-risk pediatric ALL.
- This RS model offers improved early therapeutic stratification, potentially enhancing cure rates.
- Integrating genetic and MRD data into a comprehensive risk score is vital for personalized ALL treatment.
Abstract:
To prevent relapse, high risk paediatric acute lymphoblastic leukaemia (ALL) is treated very intensively. However, most patients who eventually relapse have standard or medium risk ALL with low minimal residual disease (MRD) levels. We analysed recurrent microdeletions and other clinical prognostic factors in a cohort of 475 uniformly treated non-high risk precursor B-cell ALL patients with the aim of better predicting relapse and refining risk stratification. Lower relapse-free survival at 7 years (RFS) was associated with IKZF1 intragenic deletions (P < 0·0001); P2RY8-CRLF2 gene fusion (P < 0·0004); Day 33 MRD>5 × 10-5 (P < 0·0001) and High National Cancer Institute (NCI) risk (P < 0·0001). We created a predictive model based on a risk score (RS) for deletions, MRD and NCI risk, extending from an RS of 0 (RS0) for patients with no unfavourable factors to RS2 + for patients with 2 or 3 high risk factors. RS0, RS1, and RS2 + groups had RFS of 93%, 78% and 49%, respectively, and overall survival (OS) of 99%, 91% and 71%. The RS provided greater discrimination than MRD-based risk stratification into standard (89% RFS, 96% OS) and medium risk groups (79% RFS, 91% OS). We conclude that this RS may enable better early therapeutic stratification and thus improve cure rates for childhood ALL.
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