Stefan G C Mestrum1, Eline M P Cremers2, Norbert C J de Wit3, Roosmarie J M Drent4, Frans C S Ramaekers5, Anton H N Hopman6, Math P G Leers4. 1. Department of Molecular Cell Biology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Clinical Chemistry & Hematology, Zuyderland Medical Center, Sittard-Geleen, the Netherlands. Electronic address: sgc.mestrum@maastrichtuniversity.nl. 2. Department of Internal Medicine, Division of Hematology, Maastricht University Medical Center, Maastricht, the Netherlands. 3. Central Diagnostic Laboratory (CDL), Maastricht University Medical Center, Maastricht, the Netherlands. 4. Department of Clinical Chemistry & Hematology, Zuyderland Medical Center, Sittard-Geleen, the Netherlands. 5. Department of Molecular Cell Biology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands; Nordic-MUbio, Susteren, the Netherlands. 6. Department of Molecular Cell Biology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands.
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.
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.
Authors: Stefan G C Mestrum; Eline M P Cremers; Norbert C J de Wit; Roosmarie J M Drent; Frans C S Ramaekers; Anton H N Hopman; Math P G Leers Journal: Data Brief Date: 2022-02-22
Authors: Stefan G C Mestrum; Roanalis B Y Vanblarcum; Roosmarie J M Drent; Bert T Boonen; Wouter L W van Hemert; Frans C S Ramaekers; Anton H N Hopman; Math P G Leers Journal: Cytometry A Date: 2022-04-27 Impact factor: 4.714