Associated Papers
Molecular and clinical analyses of PHF6 mutant myeloid neoplasia provide their pathogenesis and therapeutic targeting.
Kubota Y et al.
Nature Communications, 2024
38418452 (PubMed )
Supplement: 41467_2024_46134_MOESM5_ESM.xlsx › Supplementary_Data_2
SmMIP-tools: a computational toolset for processing and analysis of single-molecule molecular inversion probes-derived data.
Medeiros JJF et al.
Bioinformatics (oxford, England), 2022
35150236 (PubMed )
Supplement: btac081_supplementary_data.zip › Table_S4.xlsx › Clinically_reported_SNVs
Comprehensive diagnostics of acute myeloid leukemia by whole transcriptome RNA sequencing.
Arindrarto W et al.
Leukemia, 2021
32127641 (PubMed )
Supplement: 41375_2020_762_MOESM1_ESM.pdf
Integration of intra-sample contextual error modeling for improved detection of somatic mutations from deep sequencing.
Abelson S et al.
Science Advances, 2020
33298453 (PubMed )
Supplement: abe3722_Table_S3.xlsx › tab3
Posttranslational modifications of RUNX1 as potential anticancer targets.
Goyama S et al.
Oncogene, 2015
Rare coincident NPM1 and RUNX1 mutations in intermediate risk acute myeloid leukemia display similar patterns to single mutated cases.
Fasan A et al.
Haematologica, 2014
Assessment of computational methods for predicting the effects of missense mutations in human cancers.
Gnad F et al.
Bmc Genomics, 2013
23819521 (PubMed )
Supplement: 1471-2164-14-S3-S7-S1.xlsx › COSMIC
RUNX1 mutations in cytogenetically normal acute myeloid leukemia are associated with a poor prognosis and up-regulation of lymphoid genes.
Greif PA et al.
Haematologica, 2012
Identification of recurring tumor-specific somatic mutations in acute myeloid leukemia by transcriptome sequencing.
Greif PA et al.
Leukemia, 2011
ASXL1 mutation is associated with poor prognosis and acute transformation in chronic myelomonocytic leukaemia.
Gelsi-Boyer V et al.
British Journal of Haematology, 2010
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