Measurable residual disease in acute myeloid leukemia using flow cytometry: approaches for harmonization/standardization

2018 ◽  
Vol 11 (12) ◽  
pp. 921-935 ◽  
Author(s):  
Gerrit J Schuurhuis ◽  
Gert J Ossenkoppele ◽  
Angèle Kelder ◽  
Jacqueline Cloos
2021 ◽  
Vol 11 ◽  
Author(s):  
Fu-Jia Liu ◽  
Wen-Yan Cheng ◽  
Xiao-Jing Lin ◽  
Shi-Yang Wang ◽  
Tian-Yi Jiang ◽  
...  

The clinically ideal time point and optimal approach for the assessment of measurable residual disease (MRD) in patients with acute myeloid leukemia (AML) are still inconclusive. We investigated the clinical value of multiparameter flow cytometry-based MRD (MFC MRD) after induction (n = 492) and two cycles of consolidation (n = 421). The latter time point was proved as a superior indicator with independent prognostic significance for both relapse-free survival (RFS, HR = 3.635, 95% CI: 2.433–5.431, P <0.001) and overall survival (OS: HR = 3.511, 95% CI: 2.191–5.626, P <0.001). Furthermore, several representative molecular MRD markers were compared with the MFC MRD. Both approaches can establish prognostic value in patients with NPM1 mutations, and FLT3, C-KIT, or N-RAS mutations involved in kinase-related signaling pathways, while the combination of both techniques further refined the risk stratification. The detection of RUNX1–RUNX1T1 fusion transcripts achieved a considerable net reclassification improvement in predicting the prognosis. Conversely, for patients with biallelic CEBPA or DNMT3A mutations, only the MFC method was recommended due to the poor prognostic discriminability in tracking mutant transcripts. In conclusion, this study demonstrated that the MFC MRD after two consolidation cycles independently predicted clinical outcomes, and the integration of MFC and molecular MRD should depend on different types of AML-related genetic lesions.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 22-23
Author(s):  
Pavinder Kaur ◽  
Anil Pahuja ◽  
Kevin Nguyen ◽  
Pedro Marques Ramos ◽  
Ling Du ◽  
...  

Background: Measurable Residual Disease (MRD) assessments are gaining increasing acceptance as a prognostic factor for tailoring treatment in hematological malignancies. Acute Myeloid Leukemia (AML) is a heterogeneous disease with high relapse rates and presents a high unmet need for effective treatment options. Measurement of residual disease after therapy reflects a combination of all resistance mechanisms and is currently used for guiding treatment options. Study Design: In this study, we aimed to validate an AML-MRD assay by multiparameter flow cytometry (MFC) methodology. This is a 4-tube, 8-parameter assay designed to incorporate cell differentiation (CD) markers for identification of a diverse group (covering roughly 90% of patients, Cloos et al, 2018) of Leukemia Associated Immunophenotypes (LAIPs) to accurately identify both native phenotypes and phenotype shifts after drug treatment. These CD markers were selected based on extensive investigation of many markers and in line with the consensus recommendations from European Leukemia Network AML working party (Schuurhuis et al, 2018), while specimen testing and interpretation principles were performed in accordance with Cloos et al, 2018. The assay validation focused on evaluation of sensitivity (MRD cut point and LOD), precision and accuracy as key criteria for evaluating assay performance utilizing primary patient specimens and AML cell lines representing different LAIPs. The results were orthogonally verified in a blinded manner by morphologic assessment at Navigate and by the MRD-team at VUMC Amsterdam. Results: Two experimental approaches were adopted to evaluate analytical and functional sensitivity (clinical applicability) of the assay. Results indicated analytical sensitivity (LOD) as low as 0.01% LAIPs of total WBC and functional sensitivity (LOQ) of 0.1% (MRD cut point). Excellent repeatability and reproducibility (less than 20% CV) was observed across instruments, operators and independent measurements (n = 75). The frequencies of AML blasts detected by MFC and morphological examination were highly concordant (Spearman r = 0.95, P value < 0.001, n = 24). LAIPs deduced across nine patient specimens by the Navigate laboratory were independently confirmed by the MRD-team at VUMC Amsterdam. Conclusion: In summary, based on the use of consensus markers recommended by ELN for reliable capture of a broad group of LAIPs in AML patients and verification of key assay performance characteristics, we believe this comprehensive MFC based AML MRD assay is fit-for-purpose for accurately assessing measurable residual disease. Following clinical trial validation, MRD might be used as a surrogate endpoint for approval of emerging agents. Disclosures Marques Ramos: Novartis: Current Employment. Larson:BMS, Bioline, Celgene, Juno, Janssen: Research Funding; TORL Biotherapeutics: Current equity holder in private company. Sarikonda:Novartis: Current Employment.


2020 ◽  
Vol 9 (6) ◽  
pp. 1714
Author(s):  
Caroline Dix ◽  
Tsun-Ho Lo ◽  
Georgina Clark ◽  
Edward Abadir

The detection of measurable residual disease (MRD) has become a key investigation that plays a role in the prognostication and management of several hematologic malignancies. Acute myeloid leukemia (AML) is the most common acute leukemia in adults and the role of MRD in AML is still emerging. Prognostic markers are complex, largely based upon genetic and cytogenetic aberrations. MRD is now being incorporated into prognostic models and is a powerful predictor of relapse. While PCR-based MRD methods are sensitive and specific, many patients do not have an identifiable molecular marker. Immunophenotypic MRD methods using multiparametric flow cytometry (MFC) are widely applicable, and are based on the identification of surface marker combinations that are present on leukemic cells but not normal hematopoietic cells. Current techniques include a “different from normal” and/or a “leukemia-associated immunophenotype” approach. Limitations of MFC-based MRD analyses include the lack of standardization, the reliance on a high-quality marrow aspirate, and variable sensitivity. Emerging techniques that look to improve the detection of leukemic cells use dimensional reduction analysis, incorporating more leukemia specific markers and identifying leukemic stem cells. This review will discuss current methods together with new and emerging techniques to determine the role of MFC MRD analysis.


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