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Pre-clinical Evaluation of Tyrosine Kinase Inhibitors for Treatment of Acute Leukemia
Published on: September 18, 2013
Uniform approach to risk classification and treatment assignment for children with acute lymphoblastic leukemia
1Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD 20892, USA.
Insights
New criteria for childhood acute lymphoblastic leukemia (ALL) risk stratification were established. This aims to standardize treatment assignment and improve future clinical research efficiency for pediatric ALL patients.
Area of Science:
- Pediatric Oncology
- Hematology
- Clinical Trial Design
Background:
- Acute lymphoblastic leukemia (ALL) is a common childhood cancer.
- Risk-based treatment assignment for pediatric ALL lacks uniform criteria.
- Standardizing risk stratification is crucial for effective clinical research.
Purpose of the Study:
- To establish uniform criteria for risk-based treatment assignment in childhood acute lymphoblastic leukemia (ALL).
- To enhance the efficiency of future ALL clinical research through standardized risk assessment.
- To facilitate collaborative efforts among major pediatric oncology groups.
Main Methods:
- A workshop sponsored by the National Cancer Institute's Cancer Therapy Evaluation Program (CTEP) convened in September 1993.
- Representatives from Childrens Cancer Group (CCG), Pediatric Oncology Group (POG), Dana-Farber Cancer Institute (DFCI), and St Jude Children's Research Hospital (SJCRH) participated.
- Data from ALL clinical trials were reviewed and combined using weighted averages to define risk categories.
Main Results:
- For B-precursor ALL, standard risk includes patients aged 1-9 years with WBC < 50,000/microL (approx. 80% 4-year event-free survival [EFS]).
- High-risk B-precursor ALL encompasses remaining patients (approx. 65% 4-year EFS).
- For T-cell ALL, risk stratification may vary; consensus on uniform prognostic factors (DNA index, cytogenetics, early treatment response, immunophenotype, CNS status) was reached.
Conclusions:
- A more uniform approach to risk-based treatment assignment for pediatric ALL is defined.
- Standardized collection of prognostic factors will improve ALL clinical research.
- This initiative aims to increase the efficiency and comparability of future ALL studies.
Purpose:
To define more uniform criteria for risk-based treatment assignment for children with acute lymphoblastic leukemia (ALL), the Cancer Therapy Evaluation Program (CTEP) of the National Cancer Institute (NCI) sponsored a workshop in September 1993. Participants included representatives from the Childrens Cancer Group (CCG), Pediatric Oncology Group (POG), Dana-Farber Cancer Institute (DFCI), St Jude Children's Research Hospital (SJCRH), and the CTEP.
Methods:
Workshop participants presented and reviewed data from ALL clinical trials, using weighted averages to combine outcome data from different groups.
Results:
For patients with B-precursor (ie, non-T, non-B) ALL, the standard-risk category (4-year event-free survival [EFS] rate, approximately 80%) will include patients 1 to 9 years of age with a WBC count at diagnosis less than 50,000/microL. The remaining patients will be classified as having high-risk ALL (4-year EFS rate, approximately 65%). For patients with T-cell ALL, different treatment strategies have yielded different conclusions concerning the prognostic significance of T-cell immunophenotype. Therefore, some groups/institutions will classify patients with T-cell ALL as high risk, while others will assign risk for patients with T-cell ALL based on the uniform age/WBC count criteria. Workshop participants agreed that the risk category of a patient may be modified by prognostic factors in addition to age and WBC count criteria, and that a common set of prognostic factors should be uniformly obtained, including DNA index (DI), cytogenetics, early response to treatment (eg, day-14 bone marrow), immunophenotype, and CNS status.
Conclusions:
The more uniform approach to risk-based treatment assignment and to collection of specific prognostic factors should increase the efficiency of future ALL clinical research.
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