Associated Papers
Leveraging genomic diagnostics for prognostics and therapeutics in pediatric acute leukemia.
Newman H et al.
Hemasphere, 2025
41306327 (PubMed )
Supplement: HEM3-9-e70269-s013.xlsx › Supplemental_Table_5_-_SSVs
Genetic evolution and relapse-associated mutations in adult T-cell acute lymphoblastic leukemia patients treated in PETHEMA trials.
González-Gil C et al.
Hemasphere, 2025
40420999 (PubMed )
Supplement: HEM3-9-e70148-s007.xlsx › SNV
Genomic profiling of pediatric hematologic malignancies and diagnosis of cancer predisposition syndromes: tumoronly versus paired tumor-normal sequencing.
Newman H et al.
Haematologica, 2024
38385299 (PubMed )
Supplement: 2023_284855_NEWMAN_SUPPL.pdf
Genomic characterization of AML with aberrations of chromosome 7: a multinational cohort of 519 patients.
Halik A et al.
Journal of Hematology & Oncology, 2024
39160538 (PubMed )
Supplement: 13045_2024_1590_MOESM1_ESM.xlsx › Suppl._Dataset_4_TS_SNV
Deep genomic characterization highlights complexities and prognostic markers of pediatric acute myeloid leukemia.
Cheng CK et al.
Communications Biology, 2023
37002311 (PubMed )
Supplement: 42003_2023_4732_MOESM5_ESM.xlsx › Supplementary_Data_2
Machine learning models-based on integration of next-generation sequencing testing and tumor cell sizes improve subtype classification of mature B-cell neoplasms.
Mu Y et al.
Frontiers in Oncology, 2023
37601650 (PubMed )
Supplement: Table_1.xlsx › Supplement_Tab.3
Analytical and Potential Clinical Performance of Oncomine Myeloid Research Assay for Myeloid Neoplasms.
Park J et al.
Molecular Diagnosis & Therapy, 2020
Select a paper to view details