The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Therapeutic targeting of preleukemia cells in a mouse model of NPM1 mutant acute myeloid leukemia
Open accessAbstract
Taking preventive measures: Recent technological advances have made it possible to detect, in healthy individuals, premalignant blood cells that are likely to progress to hematologic cancer. These advances in early detection have fueled interest in “cancer interception,” the idea that drugs designed to treat advanced cancer might also be useful for cancer prevention. Uckelmann et al. now provide support for this concept in a study of mice genetically predisposed to develop acute myeloid leukemia. Early administration of an epigenetic therapy that had previously been shown to have anticancer activity in advanced leukemia models was able to eliminate preleukemia cells and extend survival of the mice. Science , this issue p. 586
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STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390
Genomic and Epigenomic Landscapes of Adult De Novo Acute Myeloid Leukemia
The Cancer Genome Atlas Research Network (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1301689 · Cited by 5,078
Age-related clonal hematopoiesis associated with adverse outcomes
Jaiswal, S., Fontanillas, P., Flannick, J., Manning, A., Grauman, P. V., Mar, B. G., Lindsley, R. C., Mermel, C. H., Burtt, N., Chavez, A., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408617 · Cited by 4,841
DNA targeting specificity of RNA-guided Cas9 nucleases
Hsu, P. D., Scott, D. A., Weinstein, J. A., Ran, F. A., Konermann, S., Agarwala, V., Li, Y., Fine, E. J., Wu, X., Shalem, O., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2647 · Cited by 4,741
Genomic classification and prognosis in acute myeloid leukemia
Papaemmanuil, E., Gerstung, M., Bullinger, L., Gaidzik, V. I., Paschka, P., Roberts, N. D., Potter, N. E., Heuser, M., Thol, F., Bolli, N., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1516192 · Cited by 4,350
Self-citationClonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence
Genovese, G., Kähler, A. K., Handsaker, R. E., Lindberg, J., Rose, S. A., Bakhoum, S. F., Chambert, K., Mick, E., Neale, B. M., Fromer, M., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1409405 · Cited by 3,531
Döhner, H., Weisdorf, D. J., & Bloomfield, C. D. (2015) · New England Journal of Medicine · doi:10.1056/nejmra1406184 · Cited by 3,306
Cytoplasmic Nucleophosmin in Acute Myelogenous Leukemia with a Normal Karyotype
Falini, B., Mecucci, C., Tiacci, E., Alcalay, M., Rosati, R., Pasqualucci, L., La Starza, R., Diverio, D., Colombo, E., Santucci, A., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa041974 · Cited by 1,892
Cited by
The menin inhibitor revumenib in KMT2A-rearranged or NPM1-mutant leukaemia
Issa, G. C., Aldoss, I., DiPersio, J., Cuglievan, B., Stone, R., Arellano, M., Thirman, M. J., Patel, M. R., Dickens, D. S., Shenoy, S., et al. (2023) · Nature · doi:10.1038/s41586-023-05812-3 · Cited by 507
Self-citationSingh, I., Fernandez-Perez, D., Sanchez, P. S., & Rodriguez-Fraticelli, A. E. (2025) · Cell Stem Cell · doi:10.1016/j.stem.2025.01.012 · Cited by 25
Dreijerink, K. M. A., Ozyerli-Goknar, E., Koidl, S., van der Lelij, E. J., van den Heuvel, P., Kooijman, J. J., Biniossek, M. L., Rodenburg, K. W., Nizamuddin, S., & Timmers, H. T. M. (2022) · Epigenetics & Chromatin · doi:10.1186/s13072-022-00461-8 · Cited by 14
Metadata
- Authors
- Uckelmann, H. J., Kim, S. M., Wong, E. M., Hatton, C., Giovinazzo, H., Gadrey, J. Y., Krivtsov, A. V., Rücker, F. G., Döhner, K., McGeehan, G. M., Levine, R. L., Bullinger, L., Vassiliou, G. S., & Armstrong, S. A.
- Venue
- Science
- Published
- 2020-01-31
- Volume
- 367
- Issue
- 6477
- Pages
- 586-590
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3004043543
- Cited by
- 257
- References
- 31
- FWCI
- 19.17
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Therapeutic targeting of preleukemia cells in a mouse model of NPM1 mutant acute myeloid leukemia. https://app.cochat.ai/papers/10.1126/science.aax5863
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- Uckelmann, H. J., Kim, S. M., Wong, E. M., Hatton, C., Giovinazzo, H., Gadrey, J. Y., Krivtsov, A. V., Rücker, F. G., Döhner, K., McGeehan, G. M., Levine, R. L., Bullinger, L., Vassiliou, G. S., & Armstrong, S. A. (2020). Therapeutic targeting of preleukemia cells in a mouse model of NPM1 mutant acute myeloid leukemia. Science. https://doi.org/10.1126/science.aax5863
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
