Associated Papers
The E592K variant of SF3B1 creates unique RNA missplicing and associates with high-risk MDS without ring sideroblasts.
Choi IY et al.
Blood Advances, 2024
38759096 (PubMed )
Supplement: BLOODA_ADV-2023-011260-mmc1.pdf
Somatic mutational landscape of hereditary hematopoietic malignancies caused by germline variants in RUNX1, GATA2, and DDX41.
Homan CC et al.
Blood Advances, 2023
37406166 (PubMed )
Supplement: BLOODA_ADV-2023-010045-mmc4.xlsx › Supp_Table_3__final
Acquired somatic variants in inherited myeloid malignancies.
Armes H et al.
Leukemia, 2022
35140362 (PubMed )
Supplement: 41375_2022_1515_MOESM4_ESM.xlsx › Sheet1
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_S6.xlsx › High_Confidence_SNVs
Germline RUNX1 variation and predisposition to childhood acute lymphoblastic leukemia.
Li Y et al.
The Journal of Clinical Investigation, 2021
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
Monosomal karyotype and chromosome 17p loss or TP53 mutations in decitabine-treated patients with acute myeloid leukemia.
Becker H et al.
Annals of Hematology, 2020
32504186 (PubMed )
Supplement: 277_2020_4082_MOESM1_ESM.pdf
High frequency of germline RUNX1 mutations in patients with RUNX1-mutated AML.
Simon L et al.
Blood, 2020
Loss of lenalidomide-induced megakaryocytic differentiation leads to therapy resistance in del(5q) myelodysplastic syndrome.
Martinez-Høyer S et al.
Nature Cell Biology, 2020
RUNX1-mutated families show phenotype heterogeneity and a somatic mutation profile unique to germline predisposed AML.
Brown AL et al.
Blood Advances, 2020
Chemogenomic Landscape of RUNX1-mutated AML Reveals Importance of RUNX1 Allele Dosage in Genetics and Glucocorticoid Sensitivity.
Simon L et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research, 2017
Posttranslational modifications of RUNX1 as potential anticancer targets.
Goyama S et al.
Oncogene, 2015
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
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