Abstract
TAL1 is one of the most frequently dysregulated oncogenes in T-cell Acute Lymphoblastic Leukaemia (T-ALL). However, the precise frequency and prognostic impact associated with its dysregulation remains unclear and is confounded by TAL1’s diverse dysregulation mechanisms. TAL1 dysregulation is detected by TAL1 transcript quantification, though this technique may be subject to interference by TAL1 transcripts deriving from residual haematological cells that physiologically express high levels of the gene. We hypothesised TAL1 DNA methylation could provide a more reliable biomarker than TAL1 transcript quantification alone. We extensively studied TAL1 dysregulation in a large adult and paediatric T-ALL cohort (n = 401) and designed a TAL1 specific MS-MLPA assay to determine methylation levels. Whereas monoallelic TAL1 + T-ALL had homogeneous gene expression profiles, never expressed other driver oncogenes and were TAL1 hypomethylated (methylation ratio <0.4), biallelic TAL1 + T-ALL were enriched in expression of other driver oncogenes (TLX1, TLX3, HOXA), and had heterogeneous transcriptomes and TAL1 methylation levels. In PDX analysis, monoallelic TAL1 expression was stable, contrary to biallelic expression which mostly derived from residual non-malignant haematopoietic cells. Importantly, we report 5 novel TAL1 dysregulation mechanisms using long-read nanopore and OGM analysis, and show that TAL1 hypomethylation identifies TAL1 dysregulation, and is associated with worse prognosis.
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Data availability
For EPIC data, all microarray raw IDAT files have been deposited to Gene Expression Omnibus (GEO) under the accession number GSE147667 as detailed in [29].
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Acknowledgements
We would like to thank all participants in the GRAALL-2003 and GRAALL-2005 study groups, the SFCE and the investigators of the 16 SFCE centres involved in collection and provision of data and patient samples, and V. Lheritier for collection of clinical data.
Funding
The GRAALL was supported by grants P0200701 and P030425/AOM03081 from the Programme Hospitalier de Recherche Clinique, Ministère de l’Emploi et de la Solidarité, France and the Swiss Federal Government in Switzerland. Samples were collected and processed by the AP-HP “Direction de Recherche Clinique” Tumour Bank at Necker-Enfants Malades. We would also like to thank La Fondation pour la Recherche Médicale for their support through the grant FDT202012010638 which was awarded to CS and “La Ligue Contre le Cancer” for supporting MS.
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CS designed and carried out experiments, visualised data, and wrote the original manuscript, GC carried out RNA-seq bioinformatic analysis and visualised the data. MS analysed and visualised clinical data. EB analysed and visualised OGM data. TS processed, analysed, and visualised WGS data. GA analysed and visualised NGS data. MLL, ML, and ALN carried out experiments. VA and AT offered expertise and supervised the research. CS, GC, MS, EB, TS, GA, AC, MC, MLL, AM, CP, ALN, ML, NI, HD, FH, AB, EM, AP, NB, VA, and AT all critically reviewed and approved the final manuscript.
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Both adult and paediatric trials included in this study were conducted in accordance with the Declaration of Helsinki and approved by local and multicentre research ethical committees. Consent was obtained from all patients at trial entry. Animal experimentation was evaluated and approved by the Institute’s ethics committee and the Ministère de l’enseignement supérieur de la recherche et de l’innovation.
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Smith, C., Charbonnier, G., Simonin, M. et al. Towards methylation-based redefinition of TAL1 positive T-cell acute lymphoblastic leukaemia (T-ALL). Leukemia 39, 2344–2354 (2025). https://doi.org/10.1038/s41375-025-02714-3
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DOI: https://doi.org/10.1038/s41375-025-02714-3