Can bone marrow cellularity help in predicting prognosis in myelodysplastic syndromes?

  • Uri Greenbaum
  • , Erel Joffe
  • , Kalman Filanovsky
  • , Howard S. Oster
  • , Ilya Kirgner
  • , Itai Levi
  • , Pia Raanani
  • , Irit Avivi
  • , Esther Manor
  • , Gili Man-El
  • , Moshe Mittelman

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Objectives: To ascertain the relevance of bone marrow cellularity (BMC) to the interpretation of blast percentage (blast%) in MDS prognostication. Methods: We compared survival prediction based on blast% adjusted to different levels of cellularity, compared to the survival based on the original IPSS-R blast% grouping. Results: We analyzed 355 consecutive MDS patients. Cellularity, in and of itself or its interaction with blast%, was not associated with overall survival (OS). In a small subset of patients with a hypercellular marrow (15%; n = 26), dismal prognosis was observed at lower levels of blast%. For these cases OS was similar to higher IPSS-R blast groups. For example, within the Intermediate group (blast% 5%-10%), those with a hypercellular marrow and >6% blasts had an OS of 10 m similar to 16 m in the High (blast% 10%-19%) blast group. These changes did not translate into a significant improvement in overall prognostic power of a cellularity-adjusted IPSS-R (C index 0.71 vs. 0.70). Conclusion: Adjusting blast% to cellularity did not improve prognostication. However, within IPSS-R-defined blast groups, a small subset of patients with relatively higher blast% and hypercellularity may have a worse prognosis than expected.

Original languageEnglish
Pages (from-to)502-507
Number of pages6
JournalEuropean Journal of Haematology
Volume101
Issue number4
DOIs
StatePublished - 1 Oct 2018

Keywords

  • MDS
  • bone marrow cellularity
  • bone marrow failure
  • myelodysplastic syndromes
  • prediction modeling in cancer

ASJC Scopus subject areas

  • Hematology

Fingerprint

Dive into the research topics of 'Can bone marrow cellularity help in predicting prognosis in myelodysplastic syndromes?'. Together they form a unique fingerprint.

Cite this