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Landscape of genetic lesions in 944 patients with myelodysplastic syndromes

Leukemia · 2013 · Vol. 28(2) · pp. 241–247
Torsten HaferlachYasunobu NagataVera GrossmannYusuke OkunoUlrike BacherGenta NagaeSusanne SchnittgerMasashi SanadaAyana KonTamara AlpermannKenichi YoshidaAndreas RollerNiroshan NadarajahYuichi ShiraishiYusuke ShiozawaKenichi ChibaHiroko TanakaH. Phillip KoefflerHans‐Ulrich KleinMartin DugasHiroyuki AburataniAlexander KohlmannSatoru MiyanoClaudia HaferlachWolfgang KernSeishi Ogawa

Abstract

High-throughput DNA sequencing significantly contributed to diagnosis and prognostication in patients with myelodysplastic syndromes (MDS). We determined the biological and prognostic significance of genetic aberrations in MDS. In total, 944 patients with various MDS subtypes were screened for known/putative mutations/deletions in 104 genes using targeted deep sequencing and array-based genomic hybridization. In total, 845/944 patients (89.5%) harbored at least one mutation (median, 3 per patient; range, 0-12). Forty-seven genes were significantly mutated with TET2, SF3B1, ASXL1, SRSF2, DNMT3A, and RUNX1 mutated in >10% of cases. Many mutations were associated with higher risk groups and/or blast elevation. Survival was investigated in 875 patients. By univariate analysis, 25/48 genes (resulting from 47 genes tested significantly plus PRPF8) affected survival (P<0.05). The status of 14 genes combined with conventional factors revealed a novel prognostic model ('Model-1') separating patients into four risk groups ('low', 'intermediate', 'high', 'very high risk') with 3-year survival of 95.2, 69.3, 32.8, and 5.3% (P<0.001). Subsequently, a 'gene-only model' ('Model-2') was constructed based on 14 genes also yielding four significant risk groups (P<0.001). Both models were reproducible in the validation cohort (n=175 patients; P<0.001 each). Thus, large-scale genetic and molecular profiling of multiple target genes is invaluable for subclassification and prognostication in MDS patients.

Acute Myeloid Leukemia ResearchMyeloproliferative Neoplasms: Diagnosis and TreatmentCancer Genomics and DiagnosticsMyelodysplastic syndromesGeneOncologyInternal medicineUnivariate analysisBiologyInternational Prognostic Scoring SystemGeneticsMedicineBioinformatics

MeSH terms

AdultAgedAged, 80 and overFemaleGene FrequencyGenetic MarkersHumansMaleMiddle AgedMutationMyelodysplastic SyndromesPrognosisProportional Hazards ModelsPolymorphism, Single NucleotideYoung Adult

Funding

  • Japan Society for the Promotion of Science
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