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Benchmarking standard-of-care and emerging genomic approaches to enhance diagnosis in pediatric acute lymphoblastic leukemia.

British journal of cancer 2025 Vol.133(11) p. 1744-1754

Gil JV, Avetisyan G, Miralles A, de Las Heras S, Díaz-González Á, López-Benet C, Del Cañizo M, Vicente A, Andreu R, Fuentes C, Fernández JM, Barragán E, Such E, Llop M

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[BACKGROUND] The molecular characterisation of pediatric acute lymphoblastic leukemia (pALL) is essential for accurate diagnosis and risk stratification.

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  • p-value p = 0.0973
  • p-value p = 0.0057

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BibTeX ↓ RIS ↓
APA Gil JV, Avetisyan G, et al. (2025). Benchmarking standard-of-care and emerging genomic approaches to enhance diagnosis in pediatric acute lymphoblastic leukemia.. British journal of cancer, 133(11), 1744-1754. https://doi.org/10.1038/s41416-025-03204-0
MLA Gil JV, et al.. "Benchmarking standard-of-care and emerging genomic approaches to enhance diagnosis in pediatric acute lymphoblastic leukemia.." British journal of cancer, vol. 133, no. 11, 2025, pp. 1744-1754.
PMID 41028561

Abstract

[BACKGROUND] The molecular characterisation of pediatric acute lymphoblastic leukemia (pALL) is essential for accurate diagnosis and risk stratification. However, standard-of-care (SoC) methods have limited sensitivity and resolution.

[METHODS] This study evaluates the clinical utility of emerging genomic technologies-including optical genome mapping (OGM), digital multiplex ligation-dependent probe amplification (dMLPA), RNA sequencing (RNA-seq), and targeted next-generation sequencing (t-NGS)-in the largest cohort of pALL patients analysed to date, with 60 cases using OGM.

[RESULTS] Considering clinically relevant alterations identified with at least two different methods, OGM as a standalone test demonstrated superior resolution, detecting chromosomal gains and losses (51.7% vs. 35%, p = 0.0973) and gene fusions (56.7% vs. 30%, p = 0.0057), while resolving 15% of non-informative cases. Combining dMLPA and RNA-seq was the most effective approach, achieving precise classification of complex subtypes and uniquely identifying IGH rearrangements undetected by other techniques. OGM identified clinically relevant alterations in 90% of cases, and the dMLPA-RNAseq combination reached 95%, compared to 46.7% with SoC techniques.

[CONCLUSIONS] Integrating these technologies into diagnostic workflows overcomes SoC limitations. OGM and the dMLPA-RNAseq combination emerge as front-line strategies, addressing pALL heterogeneity, streamlining molecular testing, and informing treatment decisions to improve outcomes.

MeSH Terms

Humans; Precursor Cell Lymphoblastic Leukemia-Lymphoma; Child; Genomics; Female; Benchmarking; Male; Child, Preschool; Standard of Care; High-Throughput Nucleotide Sequencing; Adolescent; Infant

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