tools for mrd in aml flow cytometry
play

Tools for MRD in AML: flow cytometry Francesco Buccisano Can MRD - PowerPoint PPT Presentation

ACUTE MYELOID LEUKEMIA MEETING Ravenna - October 27, 2017 Tools for MRD in AML: flow cytometry Francesco Buccisano Can MRD improve outcome determina3on? Relapse 12 10 leukemic cells 10 10 CR 8 10 6 10 MRD No. of 4 10 2 10 Cure 0 10 Time This


  1. ACUTE MYELOID LEUKEMIA MEETING Ravenna - October 27, 2017 Tools for MRD in AML: flow cytometry Francesco Buccisano

  2. Can MRD improve outcome determina3on? Relapse 12 10 leukemic cells 10 10 CR 8 10 6 10 MRD No. of 4 10 2 10 Cure 0 10 Time This modality may not only capture differences in treatment response that reflect the underlying molecular heterogeneity, but also inter- pa9ent variability in drug availability and metabolism, which may also significantly influence outcome Grimwade, Best Prac3ce 2012

  3. Redefining induc3on failure EFS EFS EFS 8% Post-induc9on: Post-induc9on: Post-induc9on: No detectable AML by flow No detectable AML by flow No detectable AML by flow 67% 16% <5% blasts by morphology <5% blasts by morphology ≥5% blasts by morphology ≥5% blasts by morphology ≥5% blasts by morphology EFS EFS EFS EFS EFS Inaba et al, J Clin Oncol 2012.

  4. Redefining induc3on failure EFS OS Araki D, JCO 2015

  5. Upfront prognos3c predic3on may be inadequate in some categories of pa3ents Pa3ents lacking specific gene3c- Pa3ents with molecular features intermediate prognosis Papaemmanuil, NEJM 2016

  6. Diagnosis and management of AML in adults: 2017 ELN recommenda3ons from an interna3onal expert panel MRD can be assessed ü at early time points following induction and consolidation courses to assess remission status and determine kinetics of disease response, ü sequentially beyond consolidation to anticipate impending morphologic relapse. Dohner H, Blood 2017

  7. Technical plaXorms for MRD detec3on • Flow-cytometry – Mul3parametric flow cytometry (MFC) • PCR – RT-qPCR – Digital PCR • NGS

  8. MRD detec3on by flow: required standards • “Leukemia-associated immunophenotypes”, that are absent or very infrequent in NBM – Lack of expression – Asynchronous expression – Lack/overexpression • “Different from normal”, empty spaces that are not usually occupied during normal myeloid matura3on • At least 8-color panels – 47 phenotypes were totally absent (<0.01% of blast cells) – 41 phenotypes were iden3fied in <0.05% of blast cells Olaru et al., Cytometry 2008 • Consider rare popula3ons (leukemic stem cells)

  9. Role of LSC

  10. LSC detec3on kit for diagnos3c purposes: assessment of total stem cell load Probability of aberrant markers expression on CD34+CD38- LSC (1 tube, 8 colors, 13 markers) FITC PE PerCP- PeCy7 APC APC-H7 BV421 HV500C Tube CY5.5 CLL-1 CD123 CD33 CD38 CD44 CD34 CD45 CD45ra 1 TIM-3 CD7 CD11b CD22 CD56 PE channel contains antibodies negative on HSC Zeijlemaker et al., Leukemia 2016

  11. Combining MRD and LSC frequency improves prognos3c impact of MRD Terwijn, PLOS ONE 2014

  12. Valida3on of MRD-tailored therapy • What do we need to tailor therapy on a biomarker: • Measurable biological or clinical characteris3cs • Well documented risk categories • Robust retrospec3ve valida3on • Prospec3ve randomized studies showing benefits of tailoring

  13. Buccisano et. al. Blood 2010

  14. Integrated Risk-Score Low-Risk High-Risk Good K / MRD- Adverse K Int K / MRD- FLT3+ Good K / MRD+ Int K / MRD+ Buccisano et. al. Blood 2010

  15. AlloSCT > AutoSCT for High-risk AML Low-Risk High-Risk Good K / MRD- Adverse K Int K / MRD- FLT3-ITD+ 4 yrs. CIR = 15% Good K / MRD+ Int K / MRD+ 4 yrs. CIR = 77% NO SCT* Koreth, 2009 Cornelissen, 2012 Buccisano et. al. Blood 2010

  16. AML1310 – Schedule MRD marker Risk stratif MRD assess LAIP alloSCT: CG, molecular LAIP MRD, MUD, UCB, HRD Consolidation 1 Low-risk autoSCT (1 or 2 courses) Induction MRD- CR Diagnosis Int-risk MRD+ alloSCT High-risk FLA-Ida No CR CR salvage • INDUCTION Low-risk: CBF/Kit wt ; NPM1+/FLT3- • Daunorubicin : 50 mg/m2 iv D 1,3,5 Int-risk: all others • SD-Ara-C: 100 mg/m2 c.i. D 1-10, High-risk: Adverse K; FLT3-ITD • Etoposide: 100 mg/m2 iv D 1-5 • CONSOLIDATION • Daunorubicin : 50 mg/m2 iv D 4-6 • ID-Ara-C : 500 mg/m2/q12 hrs, over 2 hrs, D 1-6 17

  17. AML1310: results 177 candidates 110 (62%) to AutoSCT received AutoSCT 342 post consolida3on 165 candidates 110 (67%) to AlloSCT received AlloSCT 23 (CR post salvage) 81 not in CR post 16 (70%) received candidates to induc3on AlloSCT AlloSCT Courtesy of A. Venditti

  18. AML1310: results OS and DFS by ELN category Courtesy of A. Venditti

  19. AML1310: intermediate-risk OS and DFS by MRD status Courtesy of A. Venditti

  20. Pre-SCT MRD posi3vity impacts on outcome ü 253 pa3ents, all CR1/CR2, 33% HLA-sibling, 67% MUD ü 79% MRD nega3ve, 21% MRD posi3ve (any level) ü 10-color MFC pre-transplant detec3on of LAIP OS DFS Walter RB, Blood 2013

  21. OS and DFS of 81 AML MRD pos pa3ents stra3fied by type of transplant. DFS OS P<0.0001 P=0.0057 MRD positivity was defined if ≥ 3.5 x10 -4 (0.035%) residual leukemic cells were detected by MFC in the BM upon full hematological recovery after consolidation cycle Buccisano, BMT 2016

  22. Pretransplant MRD level and clinical outcome Leung W, Blood 2012 MRD <1% MRD <1% MRD >1% MRD >1% Buccisano et al., BMT 2016

  23. Implementa3on of flow-cytometric MRD detec3on in a mul3center clinical trial seong for older pa3ents AML16 (2006 – 2011) 892 AML pa9ents (median age 67 years) LAIP-MRD - prospec9vely assessed (blind to clinical outcome) Treshold set at 0.1% residual leukemic cells >2200 samples >100 UK centers 2/3 labs centralised analysis Prognos9c impact of flow MRD independent of: Age • • Cytogene9cs Wheatley index • NPM1/FLT3-ITD status • Freeman et al, J Clin Oncol 2013

  24. MRD impact: young vs. old OS RFS CIR • 61 older pa9ents vs. 149 younger ones MRD nega9vity: < 3.5 x 10-4 (0.035%) residual leukemic cells; Time point: post-consolida9on • Elderly pa9ents become MRD nega9ve, although less frequently as compared to younger ones • Relapse rate in MRD nega9ve pa9ents remains considerable (57% in our study, 83% in AML16) • Age represents, by itself, a poor-risk features in AML. • Buccisano, Ann H 2015

  25. Conclusions • MRD is a biomarker for treatment response in AML – Determina3on of MRD refines prognosis dictated by the gene3c profile at diagnosis • MFC and molecular biology are the techniques of choice – High technical requirement (8-color MFC) – Open issues: sensi3vity, specificity, stability over treatment course, 3me-points, threshold ( ELN AML MRD WP ) • MRD-oriented prospec3ve clinical trials ongoing – Support to transplant choice – Elderly AML?

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend