Predicting response to BET inhibitors using computational modeling: A BEAT AML project study

Despite advances in understanding the molecular pathogenesis of acute myeloid leukaemia (AML), overall survival rates remain low. The ability to predict treatment response based on individual cancer genomics using computational modeling will aid in the development of novel therapeutics and personali...

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Gepubliceerd in:Leuk Res
Hoofdauteurs: Drusbosky, Leylah M., Vidva, Robinson, Gera, Saji, Lakshminarayana, Anjanasree V., Shyamasundar, Vijayashree P., Agrawal, Ashish Kumar, Talawdekar, Anay, Abbasi, Taher, Vali, Shireen, Tognon, Cristina E., Kurtz, Stephen E., Tyner, Jeffrey W., McWeeney, Shannon K., Druker, Brian J., Cogle, Christopher R.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2019
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6442457/
https://ncbi.nlm.nih.gov/pubmed/30642575
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.leukres.2018.11.010
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