Cure rates for patients with acute lymphoblastic leukemia (ALL) have improved markedly in recent decades, in part due to risk stratification incorporating leukemia genomics, response to treatment, and clinical features to be able to determine at diagnosis which patients are more likely to relapse or have refractory disease. While risk stratification is well-developed for patients with B lineage ALL (B-ALL), it remains challenging for those with T lineage ALL (T-ALL). Prognostic factors validated across clinical trials and real-world data in T-ALL include age, central nervous system (CNS) involvement, and minimal residual disease (MRD) response. Immunophenotype, including early T-cell precursor (ETP) ALL is widely used to classify T-ALL, but is not consistently associated with outcome in multivariable risk models. Historically, few genetic alterations have been consistently associated with outcome, but recent comprehensive, large-scale genomic profiling has identified multiple genetic subtypes and alterations associated with outcome independent of MRD. This review highlights ongoing efforts to identify reliable prognostic biomarkers and underscores the potential of genomics-based classification to guide future T-ALL treatment strategies.
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Review Article|
October 2, 2024
Classification and risk stratification in T-lineage acute lymphoblastic leukemia
Petri Pölönen,
St Jude Children's Research Hospital, Memphis, Tennessee, United States
* Corresponding Author; email: Petri.Polonen@STJUDE.ORG
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Charles G. Mullighan,
Charles G. Mullighan
St Jude Children's Research Hospital, Memphis, Tennessee, United States
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David Trent Teachey
David Trent Teachey
University of Pennsylvania Perelman School of Medicine, United States
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Blood blood.2023022920.
Article history
Submitted:
June 10, 2024
Revision Received:
August 26, 2024
Accepted:
September 12, 2024
Citation
Petri Pölönen, Charles G. Mullighan, David Trent Teachey; Classification and risk stratification in T-lineage acute lymphoblastic leukemia. Blood 2024; blood.2023022920. doi: https://doi.org/10.1182/blood.2023022920
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