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Flow-cytometric MRD detection in pediatric T-ALL: a multicenter AIEOP-BFM consensus-based guided standardized approach

. 2025 Jun 26 ; 63 (7) : 1419-1426. [epub] 20250313

Language English Country Germany Media electronic-print

Document type Journal Article, Multicenter Study

OBJECTIVES: Risk-based stratification approaches using measurable residual disease (MRD) successfully help to identify T-acute lymphoblastic leukemia (T-ALL) patients at risk of relapse, whose treatment outcomes are very poor. Because of T-ALL heterogeneity and rarity, a reliable and standardized approach for flow cytometry (FC)-based MRD measurement and analysis is often missing. METHODS: Within the international AIEOP-BFM-ALL-FLOW study group we made a consensus on markers and a standard operating procedure for common 8- and 12-color T-ALL MRD panels. Custom manufactured tubes with dried backbone antibodies were tested in parallel to local FC standards. RESULTS: Altogether, 66 diagnostic and 67 day 15 samples were analyzed. We designed two guided MRD gating strategies to identify blast cells in parallel to expert-based evaluation. We proved that the optimized tubes allowed the correct identification of blast cells in all diagnostic samples. Both, expert and guided analysis of day 15 samples correlated to local standard (Spearman R=0.98 and R=0.94, respectively). Only in 2 (3 %) and 4 (6 %) patients expert gating and guided analysis results were substantially discordant from local standard, respectively. The cases that require an individualized approach may be partially identified at diagnosis through a rare immunophenotype or mixed phenotype acute leukemia status. CONCLUSIONS: Our work shows that standardized operating procedures together with guided analysis are applicable in a great majority of T-ALL cases. Further improvement of MRD detection is needed, as in some cases an individualized analytical approach is still required due to the challenging nature of the T-ALL phenotype.

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Hunger, SP, Raetz, EA. How I treat relapsed acute lymphoblastic leukemia in the pediatric population. Blood 2020;136:1803–12. https://doi.org/10.1182/blood.2019004043 . PubMed DOI

Teachey, DT, O’Connor, D. How i treat newly diagnosed T-cell acute lymphoblastic leukemia and T-cell lymphoblastic lymphoma in children. Blood 2020;135:159–66. https://doi.org/10.1182/blood.2019001557 . PubMed DOI PMC

Möricke, A, Zimmermann, M, Valsecchi, MG, Stanulla, M, Biondi, A, Mann, G, et al.. Dexamethasone vs prednisone in induction treatment of pediatric ALL: results of the randomized trial AIEOP-BFM ALL 2000. Blood 2016;127:2101–12. https://doi.org/10.1182/blood-2015-09-670729 . PubMed DOI

Schrappe, M, Valsecchi, MG, Bartram, CR, Schrauder, A, Panzer-Grümayer, R, Möricke, A, et al.. Late MRD response determines relapse risk overall and in subsets of childhood T-cell ALL: results of the AIEOP-BFM-ALL 2000 study. Blood 2011;118:2077–84. https://doi.org/10.1182/blood-2011-03-338707 . PubMed DOI

Modvig, S, Madsen, HO, Siitonen, SM, Rosthøj, S, Tierens, A, Juvonen, V, et al.. Minimal residual disease quantification by flow cytometry provides reliable risk stratification in T-cell acute lymphoblastic leukemia. Leukemia 2019;33:1324–36. https://doi.org/10.1038/s41375-018-0307-6 . PubMed DOI

Kotrova, M, Proske, C, Darzentas, N, Laqua, A, Kehden, B, Kässens, JC, et al.. Comprehensive next generation sequencing-based profiling of Immunoglobulin (IG) and T-cell receptor (TR) rearrangements in ALL identifies clonal evolution and age-related patterns. HemaSphere 2024;8.

Kowarsch, F, Maurer-Granofszky, M, Weijler, L, Wödlinger, M, Reiter, M, Schumich, A, et al.. FCM marker importance for MRD assessment in T-cell acute lymphoblastic leukemia: an AIEOP-BFM-ALL-FLOW study group report. Cytometry A 2024;105:24–35. https://doi.org/10.1002/cyto.a.24805 . PubMed DOI

Roshal, M, Fromm, JR, Winter, S, Dunsmore, K, Wood, BL. Immaturity associated antigens are lost during induction for T cell lymphoblastic leukemia: implications for minimal residual disease detection. Cytom Part B Clin Cytom 2010;78B:139–46. https://doi.org/10.1002/cyto.b.20511 . PubMed DOI PMC

Dworzak, MN, Fröschl, G, Printz, D, De Zen, L, Gaipa, G, Ratei, R, et al.. CD99 expression in T-lineage ALL: implications for flow cytometric detection of minimal residual disease. Leukemia 2004;18:703–8. https://doi.org/10.1038/sj.leu.2403303 . PubMed DOI

Fuda, F, Chen, W. Minimal/measurable residual disease detection in acute leukemias by multiparameter flow cytometry. Curr Hematol Malig Rep. 2018;13:455–66. https://doi.org/10.1007/s11899-018-0479-1 . PubMed DOI

Tembhare, PR, Narula, G, Khanka, T, Ghogale, S, Chatterjee, G, Patkar, NV, et al.. Post-induction measurable residual disease using multicolor flow cytometry is strongly predictive of inferior clinical outcome in the real-life management of childhood T-cell acute lymphoblastic leukemia: a study of 256 patients. Front Oncol 2020;10:1–13. https://doi.org/10.3389/fonc.2020.00577 . PubMed DOI PMC

Singh, N, Agrawal, N, Sood, R, Vishwakarma, G, Kumar, D, Dhanda, S, et al.. T-ALL minimal residual disease using a simplified gating strategy and its clinico-hematologic correlation: a single center experience from North India. Indian J Hematol Blood Transfus 2019;35:707–10. https://doi.org/10.1007/s12288-019-01106-9 . PubMed DOI PMC

Wood, BL, Levin, G, Wilson, M, Winter, SS, Dunsmore, K, Loh, ML, et al.. High-throughput screening by flow cytometry identifies reduced expression of CD48 as a universal characteristic of T-ALL and a suitable target for minimal residual disease (MRD) detection. Blood 2011;118:2547. https://doi.org/10.1182/blood.v118.21.2547.2547 . DOI

Van Dongen, JJM, Lhermitte, L, Böttcher, S, Almeida, J, Van Der Velden, VHJ, Flores-Montero, J, et al.. EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes. Leukemia 2012;26:1908–75. https://doi.org/10.1038/leu.2012.120 . PubMed DOI PMC

van der Velden, VHJ, Cazzaniga, G, Schrauder, A, Hancock, J, Bader, P, Panzer-Grumayer, ER, et al.. Analysis of minimal residual disease by Ig/TCR gene rearrangements: guidelines for interpretation of real-time quantitative PCR data. Leukemia 2007;21:604–11. https://doi.org/10.1038/sj.leu.2404586 . PubMed DOI

van der Velden, VHJ, Dombrink, I, Alten, J, Cazzaniga, G, Clappier, E, Drandi, D, et al.. Analysis of measurable residual disease by IG/TR gene rearrangements: quality assurance and updated EuroMRD guidelines. Leukemia 2024;38:1315–22. https://doi.org/10.1038/s41375-024-02272-0 . PubMed DOI PMC

Wood, BL. Principles of minimal residual disease detection for hematopoietic neoplasms by flow cytometry. Cytometry B Clin Cytom. 2016;90:47–53. https://doi.org/10.1002/cyto.b.21239 . PubMed DOI

Tembhare, PR, Subramanian, PGPG, Ghogale, S, Chatterjee, G, Patkar, NV, Gupta, A, et al.. A high-sensitivity 10-color flow cytometric minimal residual disease assay in B-lymphoblastic leukemia/lymphoma can easily achieve the sensitivity of 2-in-106 and is superior to standard minimal residual disease assay: a study of 622 patients. Cytometry B Clin Cytom 2020;98:57–67. https://doi.org/10.1002/cyto.b.21831 . PubMed DOI

Tembhare, PR, Chatterjee, G, Khanka, T, Ghogale, S, Badrinath, Y, Deshpande, N, et al.. Eleven-marker 10-color flow cytometric assessment of measurable residual disease for T-cell acute lymphoblastic leukemia using an approach of exclusion. Cytom Part B Clin Cytom. 2021;100:421–33. https://doi.org/10.1002/cyto.b.21939 . PubMed DOI

DiGiuseppe, JA, Wood, BL. Applications of flow cytometric immunophenotyping in the diagnosis and posttreatment monitoring of B and T lymphoblastic leukemia/lymphoma. Cytom Part B Clin Cytom 2019;96:256–65. https://doi.org/10.1002/cyto.b.21833 . PubMed DOI

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