The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
The genetics and molecular biology of T-ALL
Open accessAbstract
T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy caused by the accumulation of genomic lesions that affect the development of T cells. For many years, it has been established that deregulated expression of transcription factors, impairment of the CDKN2A/2B cell-cycle regulators, and hyperactive NOTCH1 signaling play prominent roles in the pathogenesis of this leukemia. In the past decade, systematic screening of T-ALL genomes by high-resolution copy-number arrays and next-generation sequencing technologies has revealed that T-cell progenitors accumulate additional mutations affecting JAK/STAT signaling, protein translation, and epigenetic control, providing novel attractive targets for therapy. In this review, we provide an update on our knowledge of T-ALL pathogenesis, the opportunities for the introduction of targeted therapy, and the challenges that are still ahead.
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Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
Mutation and cancer: statistical study of retinoblastoma
Knudson, A. G. (1971) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.68.4.820 · Cited by 7,612
Activating Mutations of NOTCH1 in Human T Cell Acute Lymphoblastic Leukemia
Weng, A. P., Ferrando, A. A., Lee, W., Morris, J. P., Silverman, L. B., Sanchez-Irizarry, C., Blacklow, S. C., Look, A. T., & Aster, J. C. (2004) · Science · doi:10.1126/science.1102160 · Cited by 2,715
The genetic basis of early T-cell precursor acute lymphoblastic leukaemia
Zhang, J., Ding, L., Holmfeldt, L., Wu, G., Heatley, S. L., Payne-Turner, D., Easton, J., Chen, X., Wang, J., Rusch, M., et al. (2012) · Nature · doi:10.1038/nature10725 · Cited by 1,596
Self-citationPui, C.-H., Robison, L. L., & Look, A. T. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60457-2 · Cited by 1,564
Deficient T Cell Fate Specification in Mice with an Induced Inactivation of Notch1
Radtke, F., Wilson, A., Stark, G., Bauer, M., van Meerwijk, J., MacDonald, H. R., & Aguet, M. (1999) · Immunity · doi:10.1016/s1074-7613(00)80054-0 · Cited by 1,405
Beyond PTEN mutations: the PI3K pathway as an integrator of multiple inputs during tumorigenesis
Cully, M., You, H., Levine, A. J., & Mak, T. W. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1819 · Cited by 1,233
Hunger, S. P., Lu, X., Devidas, M., Camitta, B. M., Gaynon, P. S., Winick, N. J., Reaman, G. H., & Carroll, W. L. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.37.8018 · Cited by 1,180
Gene expression signatures define novel oncogenic pathways in T cell acute lymphoblastic leukemia
Ferrando, A. A., Neuberg, D. S., Staunton, J., Loh, M. L., Huard, C., Raimondi, S. C., Behm, F. G., Pui, C.-H., Downing, J. R., Gilliland, D. G., et al. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00018-1 · Cited by 1,131
Mechanisms of long noncoding RNA function in development and disease
Schmitz, S. U., Grote, P., & Herrmann, B. G. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2174-5 · Cited by 1,095
Cited by
Arber, D. A., Orazi, A., Hasserjian, R. P., Borowitz, M. J., Calvo, K. R., Kvasnicka, H.-M., Wang, S. A., Bagg, A., Barbui, T., Branford, S., et al. (2022) · Blood · doi:10.1182/blood.2022015850 · Cited by 2,945
USP7 deubiquitinates and stabilizes NOTCH1 in T-cell acute lymphoblastic leukemia
Shan, H., Li, X., Xiao, X., Dai, Y., Huang, J., Song, J., Liu, M., Yang, L., Lei, H., Tong, Y., et al. (2018) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-018-0028-3 · Cited by 66
Glaser, V., Flugel, C., Kath, J., Du, W., Drosdek, V., Franke, C., Stein, M., Pruß, A., Schmueck-Henneresse, M., Volk, H.-D., et al. (2023) · Genome biology · doi:10.1186/s13059-023-02928-7 · Cited by 65
Metadata
- Authors
- Girardi, T., Vicente, C., Cools, J., & De Keersmaecker, K.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2017-03-02
- Volume
- 129
- Issue
- 9
- Pages
- 1113-1123
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2581394992
- Cited by
- 355
- References
- 111
- FWCI
- 28.04
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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