The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Genetic predisposition to hematologic malignancies: management and surveillance
Open accessAbstract
As individuals with germ line predisposition to hematologic malignancies are diagnosed with increasing frequency, the need for clinical surveillance has become apparent. Unfortunately, few prospective data are available, so recommendations are based on collective experience and expert consensus. There is general agreement to advocate for expert consultation or referral of patients to centers with expertise in these syndromes, since presentations and disease progression can be subtle, and treatment strategies must be tailored. Here, we summarize and integrate expert consensus recommendations and medical management considerations for the patient newly diagnosed with a leukemia predisposition disorder. Indications to consider additional studies and referral for allogeneic stem cell transplantation are also discussed.
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Arber, D. A., Orazi, A., Hasserjian, R., Thiele, J., Borowitz, M. J., Le Beau, M. M., Bloomfield, C. D., Cazzola, M., & Vardiman, J. W. (2016) · Blood · doi:10.1182/blood-2016-03-643544 · Cited by 10,119
ClinVar: public archive of interpretations of clinically relevant variants
Landrum, M. J., Lee, J. M., Benson, M., Brown, G., Chao, C., Chitipiralla, S., Gu, B., Hart, J., Hoffman, D., Hoover, J., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1222 · Cited by 2,758
Villani, A., Shore, A., Wasserman, J. D., Stephens, D., Kim, R. H., Druker, H., Gallinger, B., Naumer, A., Kohlmann, W., Novokmet, A., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30249-2 · Cited by 546
Vulliamy, T., Marrone, A., Szydlo, R., Walne, A., Mason, P. J., & Dokal, I. (2004) · Nature Genetics · doi:10.1038/ng1346 · Cited by 461
Armanios, M., Chen, J.-L., Chang, Y.-P. C., Brodsky, R. A., Hawkins, A., Griffin, C. A., Eshleman, J. R., Cohen, A. R., Chakravarti, A., Hamosh, A., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508124102 · Cited by 452
Cited by
Acute myeloid leukemia: 2023 update on diagnosis, risk‐stratification, and management
Shimony, S., Stahl, M., & Stone, R. M. (2023) · American Journal of Hematology · doi:10.1002/ajh.26822 · Cited by 448
Acute myeloid leukemia: 2019 update on risk‐stratification and management
Estey, E. H. (2018) · American Journal of Hematology · doi:10.1002/ajh.25214 · Cited by 371
A landscape of germ line mutations in a cohort of inherited bone marrow failure patients
Bluteau, O., Sebert, M., Leblanc, T., Peffault de Latour, R., Quentin, S., Lainey, E., Hernandez, L., Dalle, J.-H., Sicre de Fontbrune, F., Lengline, E., et al. (2018) · Blood · doi:10.1182/blood-2017-09-806489 · Cited by 355
Heuser, M., Ofran, Y., Boissel, N., Brunet Mauri, S., Craddock, C., Janssen, J., Wierzbowska, A., & Buske, C. (2020) · Annals of Oncology · doi:10.1016/j.annonc.2020.02.018 · Cited by 284
Metadata
- Authors
- Godley, L. A., & Shimamura, A.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2017-07-27
- Volume
- 130
- Issue
- 4
- Pages
- 424-432
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2624542822
- Cited by
- 190
- References
- 5
- FWCI
- 13.39
- Type
- journal article
- Language
- en
- Open access
- green
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