Cargando…
Landscape of genetic lesions in 944 patients with myelodysplastic syndromes
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3918868/ https://www.ncbi.nlm.nih.gov/pubmed/24220272 http://dx.doi.org/10.1038/leu.2013.336 |
_version_ | 1782302997682847744 |
---|---|
author | 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 |
author_facet | 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 |
author_sort | Haferlach, T |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3918868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39188682014-02-10 Landscape of genetic lesions in 944 patients with myelodysplastic syndromes 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 Leukemia Leading Article 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. Nature Publishing Group 2014-02 2013-11-29 /pmc/articles/PMC3918868/ /pubmed/24220272 http://dx.doi.org/10.1038/leu.2013.336 Text en Copyright © 2014 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Leading Article 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 Landscape of genetic lesions in 944 patients with myelodysplastic syndromes |
title | Landscape of genetic lesions in 944 patients with myelodysplastic syndromes |
title_full | Landscape of genetic lesions in 944 patients with myelodysplastic syndromes |
title_fullStr | Landscape of genetic lesions in 944 patients with myelodysplastic syndromes |
title_full_unstemmed | Landscape of genetic lesions in 944 patients with myelodysplastic syndromes |
title_short | Landscape of genetic lesions in 944 patients with myelodysplastic syndromes |
title_sort | landscape of genetic lesions in 944 patients with myelodysplastic syndromes |
topic | Leading Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3918868/ https://www.ncbi.nlm.nih.gov/pubmed/24220272 http://dx.doi.org/10.1038/leu.2013.336 |
work_keys_str_mv | AT haferlacht landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT nagatay landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT grossmannv landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT okunoy landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT bacheru landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT nagaeg landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT schnittgers landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT sanadam landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT kona landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT alpermannt landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT yoshidak landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT rollera landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT nadarajahn landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT shiraishiy landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT shiozaway landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT chibak landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT tanakah landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT koefflerhp landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT kleinhu landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT dugasm landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT aburatanih landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT kohlmanna landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT miyanos landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT haferlachc landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT kernw landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes AT ogawas landscapeofgeneticlesionsin944patientswithmyelodysplasticsyndromes |