Associated Papers
Multi-target measurable residual disease assessed by error-corrected sequencing in patients with acute myeloid leukemia: An ALFA study.
Hirsch P et al.
Blood Cancer Journal, 2024
38871702 (PubMed )
Supplement: 41408_2024_1078_MOESM1_ESM.pdf
Establishment and validation of a gene mutation-based risk model for predicting prognosis and therapy response in acute myeloid leukemia.
Liu Y et al.
Heliyon, 2024
38831838 (PubMed )
Supplement: mmc3.xlsx › Sheet1
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
Genomic Alterations, Gene Expression Profiles and Functional Enrichment of Normal-Karyotype Acute Myeloid Leukaemia Based on Targeted Next-Generation Sequencing.
Ambayya A et al.
Cancers, 2023
36900179 (PubMed )
Supplement: cancers-15-01386-s001.zip › Supplementary_File_S2.xlsx › Table_S7.Summary_of_variants
A comparative study of next-generation sequencing and fragment analysis for the detection and allelic ratio determination of FLT3 internal tandem duplication.
Kim JJ et al.
Diagnostic Pathology, 2022
35081962 (PubMed )
Supplement: 13000_2022_1202_MOESM1_ESM.docx
Hybridization capture-based next generation sequencing reliably detects FLT3 mutations and classifies FLT3-internal tandem duplication allelic ratio in acute myeloid leukemia: a comparative study to standard fragment analysis.
He R et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc, 2020
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