Integration of the Ki-67 proliferation index into the Ogata score improves its diagnostic sensitivity for low-grade myelodysplastic syndromes

Leuk Res. 2022 Feb:113:106789. doi: 10.1016/j.leukres.2022.106789. Epub 2022 Jan 11.

Abstract

Background: Although flow cytometric detection of myelodysplastic syndrome (MDS) with the Ogata score has a high specificity, its sensitivity for low-grade MDS is low. Additional markers are needed to improve its diagnostic reliability. Therefore, we investigated the diagnostic performance of the Ki-67 proliferation index in bone marrow (BM) cell populations for detection of MDS.

Methods: BM aspirates from 50 MDS patients and 20 non-clonal cytopenic controls were analyzed with flow cytometry to determine the Ogata score and the Ki-67 proliferation indices in different cell populations.

Results: Ki-67 proliferation indices alone could be used to detect MDS with a sensitivity of up to 80 % and specificity of up to 70 %. Combining the Ogata score with the Ki-67 proliferation index of erythroid cells significantly improved its sensitivity for detection of MDS from 66 % to 90 %, while maintaining a specificity of 100 %. Particularly, the sensitivity for detection of low-grade MDS improved from 56 % to 91 %.

Conclusions: This is the first study using Ki-67 proliferation indices to detect MDS and shows their particularly high diagnostic sensitivity for detection of low-grade MDS. Integration of the Ki-67 proliferation index of erythroid cells into the Ogata score significantly improved its sensitivity without loss of the high specificity.

Keywords: Flow cytometry; Ki-67; MDS; Ogata score; Proliferation.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Biomarkers / analysis*
  • Bone Marrow Cells / metabolism
  • Bone Marrow Cells / pathology
  • Cell Proliferation*
  • Erythroid Cells / metabolism
  • Erythroid Cells / pathology
  • Female
  • Granulocytes / metabolism
  • Granulocytes / pathology
  • Humans
  • Ki-67 Antigen / analysis*
  • Male
  • Middle Aged
  • Mitotic Index*
  • Monocytes / metabolism
  • Monocytes / pathology
  • Myelodysplastic Syndromes / diagnosis
  • Myelodysplastic Syndromes / metabolism*
  • ROC Curve
  • Severity of Illness Index

Substances

  • Biomarkers
  • Ki-67 Antigen