Prognostic models turn the Heat(IT)up on FLT3ITD-mutated AML.
View / Open Files
Publication Date
2019-01-15Journal Title
Clinical Cancer Research
ISSN
1078-0432
Publisher
American Association for Cancer Research
Language
eng
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Gallipoli, P., & Huntly, B. J. (2019). Prognostic models turn the Heat(IT)up on FLT3ITD-mutated AML.. Clinical Cancer Research https://doi.org/10.1158/1078-0432.CCR-18-3146
Abstract
The presence of internal tandem duplications (ITDs) in the FLT3 receptor tyrosine kinase gene have long been known to confer a poor prognosis to acute myeloid leukemia (AML) patients. Now, specific structural features of the ITD are also suggested to alter patient outcome, including sensitivity to targeted therapies, prompting their evaluation in therapeutic algorithms.
Keywords
Hot Temperature, Humans, Leukemia, Myeloid, Acute, Prognosis, Tandem Repeat Sequences, fms-Like Tyrosine Kinase 3
Sponsorship
B.J.P. Huntly is supported by The European Research Council (COMAL: 647685) and Cancer Research UK (A25508). P. Gallipoli is supported by the Wellcome Trust (109967/Z/15/Z) and an ASH Global Research Award.
Funder references
Medical Research Council (MC_PC_12009)
Wellcome Trust (109967/Z/15/Z)
Medical Research Council (MR/M010392/1)
Medical Research Council (MR/R009708/1)
European Research Council (647685)
Identifiers
External DOI: https://doi.org/10.1158/1078-0432.CCR-18-3146
This record's URL: https://www.repository.cam.ac.uk/handle/1810/286784
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk