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Dynamics of clonal evolution in myelodysplastic syndromes

  • Hideki Makishima
  • , Tetsuichi Yoshizato
  • , Kenichi Yoshida
  • , Mikkael A. Sekeres
  • , Tomas Radivoyevitch
  • , Hiromichi Suzuki
  • , Bartlomie J. Przychodzen
  • , Yasunobu Nagata
  • , Manja Meggendorfer
  • , Masashi Sanada
  • , Yusuke Okuno
  • , Cassandra Hirsch
  • , Teodora Kuzmanovic
  • , Yusuke Sato
  • , Aiko Sato-Otsubo
  • , Thomas Laframboise
  • , Naoko Hosono
  • , Yuichi Shiraishi
  • , Kenichi Chiba
  • , Claudia Haferlach
  • Wolfgang Kern, Hiroko Tanaka, Yusuke Shiozawa, Inés Gómez-Seguí, Holleh D. Husseinzadeh, Swapna Thota, Kathryn M. Guinta, Brittney Dienes, Tsuyoshi Nakamaki, Shuichi Miyawaki, Yogen Saunthararajah, Shigeru Chiba, Satoru Miyano, Lee Yung Shih, Torsten Haferlach, Seishi Ogawa, Jaroslaw P. MacIejewski*
*Corresponding author for this work
  • Cleveland Clinic Foundation
  • Kyoto University
  • Munich Leukemia Laboratory
  • National Hospital Organization Nagoya Medical Center
  • Case Western Reserve University
  • The University of Tokyo
  • Showa Medical University
  • Tokyo Metropolitan Ohtsuka Hospital
  • University of Tsukuba

Research output: Contribution to journalJournal Article peer-review

364 Scopus citations

Abstract

To elucidate differential roles of mutations in myelodysplastic syndromes (MDS), we investigated clonal dynamics using whole-exome and/or targeted sequencing of 699 patients, of whom 122 were analyzed longitudinally. Including the results from previous reports, we assessed a total of 2,250 patients for mutational enrichment patterns. During progression, the number of mutations, their diversity and clone sizes increased, with alterations frequently present in dominant clones with or without their sweeping previous clones. Enriched in secondary acute myeloid leukemia (sAML; in comparison to high-risk MDS), FLT3, PTPN11, WT1, IDH1, NPM1, IDH2 and NRAS mutations (type 1) tended to be newly acquired, and were associated with faster sAML progression and a shorter overall survival time. Significantly enriched in high-risk MDS (in comparison to low-risk MDS), TP53, GATA2, KRAS, RUNX1, STAG2, ASXL1, ZRSR2 and TET2 mutations (type 2) had a weaker impact on sAML progression and overall survival than type-1 mutations. The distinct roles of type-1 and type-2 mutations suggest their potential utility in disease monitoring.

Original languageEnglish
Pages (from-to)204-212
Number of pages9
JournalNature Genetics
Volume49
Issue number2
DOIs
StatePublished - 31 01 2017

Bibliographical note

Publisher Copyright:
© 2017 Nature America, Inc., part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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