Session: 652. Multiple Myeloma and Plasma Cell Dyscrasias: Clinical and Epidemiological: Poster II
Hematology Disease Topics & Pathways:
assays, Technology and Procedures, Minimal Residual Disease
Aim: To evaluate the association between BM-associated cell populations and hemodilution in diagnostic BM aspirate samples and to develop a hemodilution scoring model.
Methods: Participants were enrolled from the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) study, a population-based screening study for MM precursors and randomized trial of follow-up strategies. Next-Generation Flow (NGF) cytometry (tube 1 of the EuroFlow MM-MRD panel) was used to assess the percentages of B cell precursors (BCPs), myeloid precursors (MPs), nucleated red cells (NRCs), mast cells (MCs), and PCs in 351 BM aspirate samples. Per protocol, BM samples were collected either as 1st pull or 2nd pull from 219 individuals (107 MGUS, 87 SMM, and 25 MM). BM sample white blood cell count (WBC) was used as a surrogate marker for hemodilution and the degree of association between WBC count and numbers of BM-associated populations was assessed using Spearman rank correlation. Linear discriminant analysis of MP and NRC percentages (of normal cellularity) in 1st vs 2nd pull samples was used to obtain population coefficients for the development of a hemodilution score model. A cutoff value of hemodilution score to discriminate between 1st and 2nd pull samples was found using receiver operated characteristic curve analysis. For dilution experiments, BM samples were manually diluted with paired PB based on cellularity. The Mann-Whitney U test was used to assess statistical significance between groups.
Results: A significantly higher numbers were observed in 1st pull samples (n=219) compared to 2nd pull samples (n=132) for all candidate populations (median BCPs: 0.82% vs 0.57%, MPs: 3.9% vs 2.2%, NRCs: 11.1% vs 5.0%, and MCs: 0.0095% vs 0.0043%, p<0.001 for all). In paired 1st and 2nd pull samples (n=15) taken at the same sampling visit, the fraction of PCs was in median 3.2 times greater in 1st pull samples (range: 1.3-11.8). A strong correlation of BM sample WBC count (n=336) to the percentages of MPs (r2=0.76) and NRCs (r2=0.71) was found, and a weaker correlation to that of BCPs (r2=0.29) and MCs (r2=0.35), indicating that MPs and NRCs numbers reflect hemodilution more accurately than BCPs and MCs. For evaluating hemodilution in a single sample, a hemodilution score model1 based on MP and NRC percentages (of normal cellularity) was developed and the score of 2.4 was found to be the optimal cutoff to discriminate between 1st and 2nd pull samples (sensitivity = 80% and specificity = 83%).
1Hemodilution score = %MP*0.37 + %NRC*0.14
2nd pull BM samples had a lower hemodilution score compared to paired 1st pull samples taken at the same sampling visit (n=15) in all cases (Figure 1) and the score decreased progressively with increased PB contamination in BM samples (n=12) manually diluted with PB (Figure 2). Furthermore, the percentage of PCs was significantly higher in BM samples with hemodilution score above the cutoff of 2.4 compared to samples scoring below the cutoff in groups of MGUS (median of 0.77% vs 0.21%, p<0.001), SMM (2.7% vs 1.2%, p<0.001), and MM (7.9% vs 3.9%, p<0.05).
Conclusion: In this study of BM samples from screened individuals in the iStopMM study using NGF we found that there is a large difference in the number of PCs between 1st and 2nd pull samples, due to hemodilution. As a consequence, 1st pull samples are preferred as the use of 2nd pull (or later) samples may lead to misdiagnosis. We present a hemodilution score model which can aid in evaluating the quality of BM samples and indicate whether they are appropriate for diagnostic use. Importantly, the model is based on diagnostic samples and further validation is needed in patients undergoing MRD assessment following treatment. By objectively assessing hemodilution, sample quality may be taken into account when interpreting results, providing more information and improved prognostic value and utility of flow cytometry in patients with MM and its precursors.
Disclosures: Onundarson: Fiix prothrombin time.: Patents & Royalties. Durie: Amgen: Consultancy, Honoraria; Celgene/BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Kristinsson: Amgen: Research Funding; Celgene: Research Funding.
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