Data mining for mutation-specific targets in acute myeloid leukemia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Oncology,Cancer Research,Hematology
Link
http://www.nature.com/articles/s41375-019-0387-y.pdf
Reference100 articles.
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4. Li H-Y, Deng D-H, Huang Y, Ye F-H, Huang L-L, Xiao Q, et al. Favorable prognosis of biallelic CEBPA gene mutations in acute myeloid leukemia patients: a meta-analysis. Eur J Haematol. 2015. https://doi.org/10.1111/ejh.12450 .
5. Valk PJ, Verhaak RG, Beijen MA, Erpelinck CAJ, van Doorn-Khosrovani BWW, Boer JM, et al. Prognostically useful gene-expression profiles in acute myeloid leukemia. N Engl J Med. 2004;350:1617–28.
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