Cited by 1,532Acute Myeloid Leukemia ResearchCancer Genomics and DiagnosticsChromatin Remodeling and Cancer

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Landscape of genetic lesions in 944 patients with myelodysplastic syndromes

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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.

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Crossref · 10.1038/leu.2013.336

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  1. Brunning RD, Bennett JM, Flandrin G, Matutes E, Head D, Vardiman J et al. Myelodysplastic syndromes. In: Jaffe ES, Harris N, Stein H, Vardiman J, eds World Health Organization of Tumors, Pathology & Genetics, Tumors of haematopoietic and lymphoid tissues. IARC Press: Lyon, France, 2001; pp 61–73.

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Metadata

Authors
Haferlach, T., Nagata, Y., Grossmann, V, Okuno, Y., Bacher, U., Nagae, G., Schnittger, S., Sanada, M., Kon, A., Alpermann, T., Yoshida, K., Roller, A., Nadarajah, N., Shiraishi, Y., Shiozawa, Y., Chiba, K., Tanaka, H., Koeffler, H. P., Klein, H.-U., Dugas, M., Aburatani, H., Kohlmann, A., Miyano, S., Haferlach, C., Kern, W., & Ogawa, S.
Affiliations
  • Munich Leukemia Laboratory (Germany) (DE)
  • Kyoto University (JP)
  • The University of Tokyo (JP)
  • Research Center for Advanced Science and Technology, The University of Tokyo (JP)
  • Institute of Medical Science, The University of Tokyo (JP)
  • Cedars-Sinai Medical Center (US)
  • University of Münster (DE)
Corresponding author
  • Haferlach, T
  • Ogawa, S
Venue
Leukemia
Published
2013-11-13
Volume
28
Issue
2
Pages
241-247
ISSN
  • 0887-6924 (ISSN-L)
  • 1476-5551
OpenAlex
W2026134786
Cited by
1,532
References
32
Citations by year
2026: 56 · 2025: 85 · 2024: 102 · 2023: 132 · 2022: 133 · 2021: 177 · 2020: 167 · 2019: 134 · 2018: 117 · 2017: 136 · 2016: 126 · 2015: 105 · 2014: 56 · 2013: 3
FWCI
69.37
Type
journal article
Language
en
Open access
Locations
  • Leukemia (publishedVersion, cc-by-nc-sa)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
  • National University of Singapore (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc-sa)
Funders
  • U.S. Public Health Service (08C46598A)
  • Japan Society for the Promotion of Science (24390242, 24659458, 21790907, 25670446, 24221011, 23249052)
Topics
  • Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
Keywords
myelodysplastic syndrome, somatic mutations, prognostic model, risk stratification, TET2, SF3B1, ASXL1, SRSF2, DNMT3A, RUNX1, PRPF8, survival
MeSH terms
Adult, Aged, Aged, 80 and over, Female, Gene Frequency, Genetic Markers, Humans, Male, Middle Aged, Mutation, Myelodysplastic Syndromes, Prognosis, Proportional Hazards Models, Polymorphism, Single Nucleotide, Young Adult, Genetic Association Studies, High-Throughput Nucleotide Sequencing, Mutation Rate

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