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Editorial
. 2024 Oct 1;109(10):3085-3087.
doi: 10.3324/haematol.2024.285806.

Drive to survive: gene dependency in T-cell acute lymphoblastic leukemia

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Editorial

Drive to survive: gene dependency in T-cell acute lymphoblastic leukemia

Guillaume P Andrieu et al. Haematologica. .
No abstract available

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Figures

Figure 1.
Figure 1.
A single-cell functional screening of gene dependency in pro-T cells in T-cell acute lymphoblastic leukemia. HSPC: hematopoietic stem and progenitor cells; mIL7: murine interleukin 7; mSCF: murine stem cell factor; mDLL4: murine delta like canonical Notch ligand 4; sgRNA: single-guide RNA.

References

    1. Meyers S, Gielen O, Cools J, Demeyer S. Single-cell CRISPR screening characterizes transcriptional deregulation in T-cell acute lymphoblastic leukemia. Haematologica. 2024;109(10):3167-3181. - PMC - PubMed
    1. Liu Y, Easton J, Shao Y, et al. . The genomic landscape of pediatric and young adult T-lineage acute lymphoblastic leukemia. Nat Genet. 2017;49(8):1211-1218. - PMC - PubMed
    1. Brady SW, Roberts KG, Gu Z, et al. . The genomic landscape of pediatric acute lymphoblastic leukemia. Nat Genet. 2022;54(9):1376-1389. - PMC - PubMed
    1. Trinquand A, Tanguy-Schmidt A, Ben Abdelali R, et al. . Toward a NOTCH1/FBXW7/RAS/PTEN-based oncogenetic risk classification of adult T-cell acute lymphoblastic leukemia: a Group for Research in Adult Acute Lymphoblastic Leukemia study. J Clin Oncol. 2013;31(34):4333-4342. - PubMed
    1. Simonin M, Vasseur L, Lengliné E, et al. . NGS-based stratification refines the risk stratification in T-ALL and identifies a very high-risk subgroup of patients. Blood. 2024. Jun 7. doi: 10.1182/blood.2023023754. [Epub ahead of print]. - PubMed

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