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Blood· 2013Q1

Clinical and biological implications of driver mutations in myelodysplastic syndromes

Elli Papaemmanuil, Moritz Gerstung, Luca Malcovati, Sudhir Tauro et al.

Short summary

Seventy-eight percent of MDS patients harbor at least one oncogenic mutation, with early spliceosome mutations predicting disease evolution and clinical phenotype.

AI-generated from the title and abstract; the full text is not read.

Key points

  • 78% of 738 MDS patients had at least one oncogenic mutation.
  • Early mutations in RNA splicing genes appear to dictate disease trajectory.
  • Complex pairwise gene associations suggest epistatic interactions.
  • Leukemia-free survival declines with an increasing number of driver mutations.

AI-generated from the title and abstract; the full text is not read.

Abstract

Myelodysplastic syndromes (MDS) are a heterogeneous group of chronic hematological malignancies characterized by dysplasia, ineffective hematopoiesis and a variable risk of progression to acute myeloid leukemia. Sequencing of MDS genomes has identified mutations in genes implicated in RNA splicing, DNA modification, chromatin regulation, and cell signaling. We sequenced 111 genes across 738 patients with MDS or closely related neoplasms (including chronic myelomonocytic leukemia and MDS-myeloproliferative neoplasms) to explore the role of acquired mutations in MDS biology and clinical phenotype. Seventy-eight percent of patients had 1 or more oncogenic mutations. We identify complex patterns of pairwise association between genes, indicative of epistatic interactions involving components of the spliceosome machinery and epigenetic modifiers. Coupled with inferences on subclonal mutations, these data suggest a hypothesis of genetic "predestination," in which early driver mutations, typically affecting genes involved in RNA splicing, dictate future trajectories of disease evolution with distinct clinical phenotypes. Driver mutations had equivalent prognostic significance, whether clonal or subclonal, and leukemia-free survival deteriorated steadily as numbers of driver mutations increased. Thus, analysis of oncogenic mutations in large, well-characterized cohorts of patients illustrates the interconnections between the cancer genome and disease biology, with considerable potential for clinical application.

The authors' abstract, as published at the source. Blood, 2013 · DOI ↗

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Field: Hematology

HematologyMedicine