Machine learning derived genomics driven prognostication for acute myeloid leukemia with RUNX1-RUNX1T1

Panel based next generation sequencing was performed on a discovery cohort of AML with RUNX1-RUNX1T1. Supervised machine learning identified NRAS mutation and absence of mutations in ASXL2, RAD21, KIT and FLT3 genes as well as a low mutation to be associated with favorable outcome. Based on this dat...

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Publicado no:Leuk Lymphoma
Main Authors: Shaikh, Anam Fatima, Kakirde, Chinmayee, Dhamne, Chetan, Bhanshe, Prasanna, Joshi, Swapnali, Chaudhary, Shruti, Chatterjee, Gaurav, Tembhare, Prashant, Prasad, Maya, Moulik, Nirmalya Roy, Gokarn, Anant, Bonda, Avinash, Nayak, Lingaraj, Punatkar, Sachin, Jain, Hasmukh, Bagal, Bhausaheb, Shetty, Dhanalaxmi, Sengar, Manju, Narula, Gaurav, Khattry, Navin, Banavali, Shripad, Gujral, Sumeet, Subramanian, P. G., Patkar, Nikhil
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7116445/
https://ncbi.nlm.nih.gov/pubmed/32757686
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10428194.2020.1798951
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