Literature DB >> 32460405

FLT3-ITD DNA and mRNA levels in AML do not correlate with CD7, CD33 and CD123 expression.

Dan-Sebastian Soare1,2, Eugen Radu1,2, Ion Dumitru1,2, Viola Maria Popov3, Horia Bumbea1,2, Ana Maria Vlădăreanu1,2.   

Abstract

INTRODUCTION: FLT3 internal tandem duplication (ITD) mutations are found in around 25% of all acute myeloid leukaemia (AML) cases and is associated with shorter disease-free and overall survival. Previous reports have shown that FLT3-ITD induces a specific phenotype in leukemic blasts, which is characterized by high levels of CD33 and CD123, and that expression of CD33 and CD123 is directly influenced by the DNA FLT3-ITD/wild-type FLT3 allelic ratio (AR).
METHODS: A total of 42 FLT3-ITD and 104 FLT3-ITD-negative AML patients were analysed. Immunophenotyping data were used to calculate antigen expression levels as the ratio between the geometric mean fluorescence intensities (MFIs) of leukemic blasts and MFIs of negative lymphocyte populations. FLT3-ITD-DNA and RNA analysis was performed, under the same conditions, by capillary electrophoresis.
RESULTS: Compared with the control group, the FLT3-ITD cohort presented significantly higher CD7, CD33 and CD123 levels. In order to assess the impact of FLT3-ITD abundance on antigen expression, the patients were grouped for each parameter into two cohorts using the following threshold values: (a) 0.5 for the AR, according to current AML guidelines; (b) 0.7 for the FLT3-ITD/FLT3-WT mRNA ratio (RR); and (c) 1.3 for the FLT3-ITD RR/AR ratio. We found higher values of CD33 for RR/AR ≥1.3, and no other statistical differences between CD7, CD33 and CD123 levels of the other FLT3-ITD groups. In terms of correlations between MFI values and FLT3-ITD parameters, we only observed a moderate interdependence between CD33 MFI and the RR/AR ratio, and a weak negative correlation between CD123 MFI and AR.
CONCLUSION: FLT3-ITD mutations induce a specific antigen profile in AML blasts, and our data do not onfirm previous reports of FLT3-ITD AR influencing both CD33 and CD123 expression.
© 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.

Entities:  

Keywords:  AML; FLT3-ITD; MFI; RNA; allelic ratio

Mesh:

Substances:

Year:  2020        PMID: 32460405      PMCID: PMC7339186          DOI: 10.1111/jcmm.15255

Source DB:  PubMed          Journal:  J Cell Mol Med        ISSN: 1582-1838            Impact factor:   5.310


INTRODUCTION

Acute myeloid leukaemia (AML) with internal tandem duplication (ITD) insertions within the FLT3 gene represents around 25% of all AML cases, although FLT3‐ITD AML is not a distinct entity according to the 2016 revision of the World Health Organization classification. These patients present a worse prognosis than patients without the mutation, with a shorter disease‐free survival and overall survival. , At diagnosis, FLT3‐ITD AML patients present high white blood cell counts, with a high percentage of bone marrow and circulating blasts. Also, FLT3‐ITD AML cells have a characteristic high CD33 and CD123 expression, , , which was shown to be directly proportional to the DNA FLT3‐ITD/FLT3‐WT allelic ratio (AR). In this study, we investigated the quantitative expression of cell surface markers in FLT3‐ITD AML from our local patient population, and evaluated the impact of both DNA and mRNA FLT3‐ITD/FLT3‐WT ratios on antigen expression levels.

MATERIALS AND METHODS

Patients

A total of 42 AML patients with the FLT3‐ITD mutation, diagnosed between March 2016 and June 2019, and a control group of 104 FLT3‐ITD–negative AML patients were included in this study. All patients gave written informed consent, and the study was conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines. Patient demographic details are presented in Appendix S1 and in Table S1.

Immunophenotyping

All primary diagnostic samples, bone marrow aspirate or peripheral blood samples, were processed and analysed according to EuroFlow recommendations. , The following antigens were quantitatively analysed to determine the specific FLT3‐ITD blast expression profile: CD4, CD7, CD9, CD13, CD14, CD33, CD34, CD56, CD64, CD71, CD117 and CD123. Antigen expression levels were calculated as the geometric mean fluorescence index (MFI) ratios between a blast population and a lymphocyte population negative for the respective marker, as previously described ⁠ (see also Appendix S1 and Figure S1).

FLT3‐ITD DNA and mRNA analyses

We performed FLT3‐ITD DNA and mRNA qualitative and quantitative analyses by capillary electrophoresis, as previously described. , Three FLT3‐ITD parameters were calculated: the FLT3‐ITD‐to‐FLT3‐WT (a) allelic ratio (AR), (b) mRNA expression ratio (RR) and the (c) relative abundance of FLT3‐ITD mRNA to DNA calculated as the RR/AR ratio. Details regarding the assay and FLT3‐ITD parameters are presented in Appendix S1—methods, results and Figure S2.

Statistical analyses

See details in Appendix S1.

RESULTS

FLT3‐ITD–specific antigen expression profile

FlT3‐ITD–positive cases presented a significantly higher CD7, CD33 and CD123 expression when compared to the FLT3‐ITD–negative control group (Figure 1) (Mann‐Whitney U test; see also Table S2).
FIGURE 1

MFI ratios for (A) CD7 (inset: a close‐up of the plot), (B) CD33 and (C) CD123 in FLT3‐ITD–positive vs FLT3‐ITD–negative AML patients. AML, acute myeloid leukaemia; ITD, internal tandem duplication; MFI, mean fluorescence index

MFI ratios for (A) CD7 (inset: a close‐up of the plot), (B) CD33 and (C) CD123 in FLT3‐ITD–positive vs FLT3‐ITD–negative AML patients. AML, acute myeloid leukaemia; ITD, internal tandem duplication; MFI, mean fluorescence index

FLT3‐ITD quantitative parameters in relation to CD7, CD33 and CD123 expression profiles

To evaluate the association of FLT3‐ITD quantitative parameters and CD7, CD33 and CD123 expression, FLT3‐ITD–positive patients were grouped for each parameter into two cohorts using the following threshold values: (a) 0.5 for FLT3‐ITD AR (the genetic prognostic cut‐off according to the ELN 2017 guidelines ), (b) 0.7 for the RR (median value) and (c) 1.3 for the RR/AR ratio (median value). Additional details regarding FLT3‐ITD mutation parameters can be found in Appendix S1—results section, Table S3. The only difference observed was between the RR/AR ratio groups, with the high RR/AR group (≥1.3) presenting higher values of CD33 than the low RR/AR group (Figure 2C). There were no other statistical differences between CD7, CD33 and CD123 levels of the other FLT3‐ITD groups (Mann‐Whitney U test; Figure 2).
FIGURE 2

Detailed analysis of CD7, CD33 and CD123 MFI values according to FLT3‐ITD quantitative parameters. Violin plots of antigen expression levels according to the FLT3‐ITD (A) AR, (B) RR and (C) RR/AR ratio. D, Results of correlation analysis between CD7, CD33 and CD123 and AR, RR and RR/AR ratio. E, Correlation between CD33 MFI ratio and RR/AR ratio. ITD, internal tandem duplication; MFI, mean fluorescence index; AR, FLT3‐ITD/FLT3‐WT DNA allelic ratio; RR, FLT3‐ITD/FLT3‐WT mRNA ratio; RR/AR, relative abundance of FLT3‐ITD mRNA to DNA

Detailed analysis of CD7, CD33 and CD123 MFI values according to FLT3‐ITD quantitative parameters. Violin plots of antigen expression levels according to the FLT3‐ITD (A) AR, (B) RR and (C) RR/AR ratio. D, Results of correlation analysis between CD7, CD33 and CD123 and AR, RR and RR/AR ratio. E, Correlation between CD33 MFI ratio and RR/AR ratio. ITD, internal tandem duplication; MFI, mean fluorescence index; AR, FLT3‐ITD/FLT3‐WT DNA allelic ratio; RR, FLT3‐ITD/FLT3‐WT mRNA ratio; RR/AR, relative abundance of FLT3‐ITD mRNA to DNA We also tested the bivariate correlation between CD7, CD33 and CD123 expression and the three FLT3‐ITD quantitative parameters. There was a moderate correlation between CD33 MFI values and RR/AR ratio values (Spearman's rho = 0.423, P = .01) (Figure 2D,E). There was also a weak negative correlation between CD123 MFI values and AR (Spearman's rho = −0.34, P = .027) (Figure S3). There were no other correlations between MFI values and FLT3‐ITD parameters. To further investigate the relation between CD33 MFI values and the FLT3‐ITD RR/AR ratio, we evaluated the repartition of NPM1 mutations within the two RR/AR groups (cut‐off value of 1.3), given that CD33 values are also elevated in NPM1‐mutated AMLs. , , The high RR/AR (≥1.3) group presented statistically more NPM1 mutant cases (11 positive/15 negative cases) than the low RR/AR (<1.3) group (6 positive/16 negative) (Pearson's chi‐square = 4.041, P = .045). Given that patients with high RR/AR ratios had a higher percentage of NPM1 mutations, we evaluated the relationship between RR/AR ratio values and NPM1 status by performing a receiver operating characteristic (ROC) curve (Figure S4). There was no significant correlation between RR/AR values and NPM1 status (area under the curve = 0.676, 95% CI: 0.484‐0.869, P = .95).

DISCUSSION

In our study population, the presence of FLT3‐ITD correlated with a specific antigen profile, characterized by higher expression of CD7, CD33 and CD123 when compared to the FLT3‐ITD–negative control population. Increased CD33 and CD123 expression has been previously reported in FLT3‐ITD leukaemic cells. , , Some previous reports , described increased CD7 levels, similar to our findings; however, in the study by Haubner et al neither myeloblasts nor leukaemic stem cells had higher MFI values for CD7, suggesting a difference between patient cohorts. A significantly higher expression of CD33 was seen in the high RR/AR group (≥1.3) when compared to the low RR/AR group (<1.3) (Figure 2C). When we further investigated the association between FLT3‐ITD quantitative parameters of leukaemic cells and antigen expression, we also observed a moderate correlation between CD33 and RR/AR values (Figure 2D,E). However, when we evaluated the presence of NPM1 insertion mutations, which are constantly associated with high CD33 expression, , , we observed that FLT3‐ITD–positive AMLs with higher RR/AR ratios presented a higher prevalence of NPM1 mutations. This could explain both the higher values of CD33 MFI ratios in the high RR/AR group and the bivariate correlation between the two parameters. In contrast to a previous report of an association between higher AR values and higher CD33 and CD123 MFI values, we could not confirm this correlation in our study. This could represent a difference between the two patient cohorts, mainly suggested by the fact that we did not observe any positive correlations between CD33 or CD123 and AR values when using two different statistical tests (non‐parametric test and bivariate correlation). Moreover, we observed a weak, yet statistically significant, negative correlation between AR values and CD123 MFI values (Figure 2D, Figure S3). In a recent report by Sung et al, CD123 signalling (IL‐3R) was found to rescue FLT3‐ITD primary leukaemia cells after exposure to FLT3 tyrosine kinase inhibitors, promoting cell survival but not proliferation. Also, in a previous paper by Choudhary et al, when using a cellular viability assay with Flt3‐ITD–overexpressing 32D cells, the addition of IL‐3 ligand showed to provide antiapoptotic signalling through STAT5a/b activation. One of the main hallmarks of FLT3‐ITD signalling is the aberrant activation of the STAT5 transcription factor. Finally, this could indicate that in our previously untreated FLT3‐ITD patient population, cases with a lower AR are more dependent of CD123 signalling, with further studies being required to evaluate this hypothesis. In our patient population, FLT3‐ITD mutations were associated with a specific antigen expression profile consisting of high MFI values for CD7, CD33 and CD123. However, antigen expression levels are not obviously influenced by FLT3‐ITD DNA and mRNA quantitative parameters. These results suggest that AML patient populations can be further stratified based on differences in phenotype, as well as subtle differences in the genotype of leukaemic cells.

CONFLICT OF INTEREST

There are no conflicts of interests to declare.

AUTHOR CONTRIBUTIONS

DSS and ID performed the research. DSS, ER, VP, HB and AMV designed the research study. ER and HB contributed essential tools. DSS and ER analysed the data. DSS and ER wrote the manuscript. Appendix S1 Click here for additional data file.
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