Underlying biology, challenges and emergent concepts in the treatment of relapsed and refractory pediatric T-cell acute lymphoblastic leukemiaDepartment of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Oncology R & D, AstraZeneca, MA, Waltham, United States.
Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Systems Biology Ireland, School of Medicine, University College Dublin, Dublin, Ireland; Children’s Health Ireland at Crumlin, Dublin, Ireland.
Newcastle University Centre for Cancer, Wolfson Childhood Cancer Research Centre, Newcastle upon Tyne, United Kingdom.
Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
School of Cancer Sciences, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Institute of Life Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom.
Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium.
Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands.
Department of Haematology, UCL Cancer Institute, University College London, London, United Kingdom; UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Center for Medical Genetics Ghent (CMGG), Ghent, Belgium.
Department of Haematology, UCL Cancer Institute, University College London, London, United Kingdom; UCL Great Ormond Street Institute of Child Health, London, United Kingdom; Department of Haematology, Great Ormond Street Hospital for Children, London, United Kingdom.
GIMM - Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
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2025 (English)In: Leukemia, ISSN 0887-6924, E-ISSN 1476-5551, Vol. 39, p. 2575-2589Article, review/survey (Refereed) Published
Abstract [en]
Relapsed and refractory disease in children with T-cell acute lymphoblastic leukemia (R/R T-ALL) remains a major clinical challenge. Outcomes for children who relapse or exhibit resistance to initial treatments are dismal, with survival rates frequently below 25% despite aggressive therapy. To minimize toxicities and improve outcomes, individualized precision medicine approaches targeting the underlying biology of R/R T-ALL are especially important, considering that T-ALL is characterized by genetic, epigenetic and posttranscriptional heterogeneity, and organ and niche specificities (e.g. the central nervous system), all of which underlie disease progression and therapy resistance. Here, we summarize the current understanding of the complexity of pediatric T-ALL biology and how such knowledge may be clinically leveraged, emphasizing the need for innovative therapeutic routes to improve outcomes for children with R/R T-ALL. Emerging approaches that hold promise or show palpable results include proteasome inhibitors, BCL-2 antagonists, and JAK (for JAK- and IL-7R-driven cases), ABL and SRC family tyrosine kinase (for LCK-activated cases), MEK or PI3K-mTOR inhibitors. MYC-targeting agents, DNA demethylating agents, histone deacetylase inhibitors, splicing modulators, or drugs exploring T-ALL metabolic vulnerabilities, are other examples for potential pharmacological intervention. Immunotherapies, particularly CAR T-cell products targeting CD7 and other markers, but also biologics (e.g. targeting CD38), are under development and increasing interest. These agents should be rationally integrated into precision medicine combination therapies informed by genetic, epigenetic, and posttranscriptional insights that will be essential to refine risk stratification and minimize the risk of resistance. Novel strategies leveraging artificial intelligence and machine learning could accelerate discovery and optimize treatment frameworks.
Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 39, p. 2575-2589
National Category
Cancer and Oncology Hematology Cell and Molecular Biology
Identifiers
URN: urn:nbn:se:umu:diva-243518DOI: 10.1038/s41375-025-02723-2ISI: 001549996400001PubMedID: 40813621Scopus ID: 2-s2.0-105013468476OAI: oai:DiVA.org:umu-243518DiVA, id: diva2:1992887
Funder
Swedish Childhood Cancer Foundation, PR2021-0049Swedish Cancer Society, 24 3490 Pj2025-08-282025-08-282026-04-24Bibliographically approved