Associated Papers
Integrating genomic and transcriptome features for characterization and prognostic prediction of angioimmunoblastic T-cell lymphoma.
Wei C et al.
Annals of Hematology, 2025
40906017 (PubMed )
Supplement: 277_2025_6589_MOESM3_ESM.xlsx › Sheet1
Compartment-specific mutational landscape of clonal hematopoiesis.
Hartmann L et al.
Leukemia, 2022
36131041 (PubMed )
Supplement: 41375_2022_1700_MOESM1_ESM.pdf
RUNX1 mutations contribute to the progression of MDS due to disruption of antitumor cellular defense: a study on patients with lower-risk MDS.
Kaisrlikova M et al.
Leukemia, 2022
35505182 (PubMed )
Supplement: 41375_2022_1584_MOESM2_ESM.xlsx › Mutations_214_LR-MDS
The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial.
Ayala R et al.
Cancers, 2021
34070172 (PubMed )
Supplement: cancers-13-02458-s001.zip › cancers-1203671-supplementary › Table_S8.xlsx › Hoja2
Thrombotic Risk Detection in Patients with Polycythemia Vera: The Predictive Role of DNMT3A/TET2/ASXL1 Mutations.
Segura-Díaz A et al.
Cancers, 2020
32290079 (PubMed )
Supplement: cancers-12-00934-s001.pdf
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