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32nd General Annual Meeting of the Belgian Hematology Society Molecular Minimal Residual Disease Detection in Acute Myeloid Leukemia Peter J.M. Valk Department of Hematology Erasmus University Medical Center Rotterdam The Netherlands


  1. 32nd General Annual Meeting of the Belgian Hematology Society Molecular Minimal Residual Disease Detection in Acute Myeloid Leukemia Peter J.M. Valk Department of Hematology Erasmus University Medical Center Rotterdam The Netherlands February 10, 2017 - Dolce La Hulpe, Brussels

  2. Acute Myeloid Leukemia (AML) Heterogeneous Clonal Disease Morphology Immunophenotype Cytogenetics Molecular Genetic Aberrations Treatment Response Treatment Outcome

  3. Risk Stratification ELN2017 and HOVON-SAKK Grimwade en Hills, 2009 Dohner et al., 2010 ELN recommendations AML 2017 HOVON-SAKK RUNX1-RUNX1T1 RUNX1-RUNX1T1 CBFB-MYH11 CBFB-MYH11 FLT3- ITD FLT3- ITD NPM1 mutation NPM1 mutation Bi-allelic CEBPA mutations Bi-allelic CEBPA mutations EVI1 overexpression Cytogenetics Cytogenetics ASXL1 mutation ASXL1 mutation RUNX1 mutation RUNX1 mutation TP53 mutation TP53 mutation KIT mutation

  4. Is there a role for molecular MRD detection in risk stratification of AML? Molecular minimal residual disease (MRD) monitoring based on single molecular targets provides powerful prognostic information Can we further improve risk stratification of AML by MRD detection based on next generation sequencing (NGS)?

  5. Molecular Minimal Residual Disease Detection in Acute Myeloid Leukemia Molecular minimal residual disease (MRD) monitoring recommended (ELN): Acute Promyelocytic Leukemia (APL) PML-RARA : Change from undetectable to detectable RT-PCR heralds disease relapse Core-binding factor leukemias (AML) AML1-ETO CBFB-MYH11 : Undetectable MRD by RT-PCR has better outcomes and lower risk of relapse (incl. concomitant mutations)

  6. MRD monitoring in mutant NPM1 AML by RQ-PCR Chou et al., Leukemia 2007 Schnittger et al., Blood 2009 Krönke C et al., JCO 2011 Shayegi et al., Blood 2013 Hubmann et al., 2014 Jain et al., 2014 Ivey et al., NEJM 2016 Ivey et al., 2016 The presence of minimal residual disease, as determined by quantitation of mutant NPM1 transcripts, is a stable, reliable and independent prognostic factor for relapse and survival in AML

  7. Can we improve the predictive value of mutant NPM1 MRD by considering the FLT3 -ITD status at diagnosis? Mutant NPM1 RQ-PCR 104 ptn HOVON102 1st line AML ≤ 65 years Consolidation Mitoxantrone Good risk Etoposide Induction cycle I Induction cycle II auto-HSCT Ida 12 mg/m 2 AMSA 120 mg/m 2 Intermediate allo-HSCT Ara-C 200 mg/m 2 Ara-C 1000 mg/m 2 allo-HSCT Poor /Very Poor

  8. Mutant NPM1 MRD is associated with a higher risk of relapse Cumulative Incidence of Relapse 100% Mutant N PM1 MRD 75% + 50% - 25% 0% 0 12 24 36 48 60 Time (months) Mutant NPM1 MRD SHR 2.55 (95%CI 1.29-5.00) Gray’s test p=0.007

  9. Mutant NPM1 MRD and FLT3 -ITD status define risk of relapse Cumulative Incidence of Relapse 100% Mutant N PM1 MRD + 75% FLT3 -ITD - 50% + no FLT3 -ITD 25% - 0% 0 12 24 36 48 60 Time (months) Mutant NPM1 MRD SHR 2.60 (95%CI 1.28-5.31) Gray’s test p=0.009 FLT3 -ITD S HR 2.31 (95%CI 1.17-4.57) Gray’s test p=0.016

  10. HOVON132 / SAKK 30/13 phase III study in AML/RAEB R Ara-C 200mg/m2 d1-7c.i. Ara-C 200mg/m2 d1-7c.i. Idarubicin 12 mg/m2 3-hr d1-3 Idarubicin 12 mg/m2 3-hr d1-3 Lenalidomide days 1-21 Ara-C 1000mg/m2 3-hr bid d1-6 Ara-C 1000mg/m2 3-hr bid d1-6 Daunorubicin 60 mg/m2 iv d1, 3, 5 Daunorubicin 60 mg/m2 iv d1, 3, 5 Lenalidomide days 1-21 MRD detection mutant NPM1 and leukemia associated immunophenotype (LAIP) autoHSCT alloHSCT R R + Lenalidomide - Lenalidomide + Lenalidomide - Lenalidomide

  11. Can we further improve risk stratification of AML by MRD detection based on next generation sequencing (NGS)? RQ-PCR NGS Hematological remission 10-3 10-4 10-5 10-6 Multiple molecular markers

  12. Targeted sequencing Illumina Trusight Myeloid panel ABL1 DNMT3A KDM6A RAD21 ASXL1 ETV6/TEL KIT RUNX1 Targets 54 mutations frequently present in myeloid malignancies ATRX EZH2 KRAS SETBP1 (AML, MDS, MPN, CML, CMML BCOR FBXWF MLL SF3B1 and JMML) BCORL1 FLT3 MPL SMC1A BRAF GATA1 MYD88 SMC3 Variant calling with in-house CALR GATA2 NOTCH1 SRSF2 bioinformatic pipeline CBL GNAS NPM1 STAG2 CBLB IDH1 NRAS TET2 Software including: -Samtools CDKN2A IDH2 PDGFRA TP53 -Varscan -Mutec CEBPA IKZF1 PHF6 U2AF1 -Indellocator -Pindel CSF3R JAK2 PTEN WT1 CUX1 JAK3 PTPN11 ZRSR2

  13. Mutation frequencies AML Illumina Trusight panel HOVON-SAKK (HO102 n=680 NGS out of 890 patients enrolled) TCGA, NEJM, 2013 Not all markers reliably detected with NGS (eg. FLT3- ITD and CEBPA mutations) 94% of all patients carry a molecular marker (incl. RUNX1-RUNX1T1 and CBFB-MYH11 ) Average of 2.9 markers/ AML (min1/max8)

  14. Can we further improve risk stratification of AML by NGS MRD detection with multiple markers? NGS ABL1 DNMT3A KDM6A RAD21 ASXL1 ETV6/TEL KIT RUNX1 ATRX EZH2 KRAS SETBP1 HOVON102 1st line AML ≤ 65 years BCOR FBXWF MLL SF3B1 Consolidation BCORL1 FLT3 MPL SMC1A BRAF GATA1 MYD88 SMC3 CALR GATA2 NOTCH1 SRSF2 CBL GNAS NPM1 STAG2 CBLB IDH1 NRAS TET2 CDKN2A IDH2 PDGFRA TP53 CEBPA IKZF1 PHF6 U2AF1 CSF3R JAK2 PTEN WT1 CUX1 JAK3 PTPN11 ZRSR2 Mitoxantrone Good risk Etoposide Induction cycle I Induction cycle II auto-HSCT Ida 12 mg/m 2 AMSA 120 mg/m 2 Intermediate allo-HSCT Ara-C 200 mg/m 2 Ara-C 1000 mg/m 2 allo-HSCT Poor /Very Poor

  15. Methods NGS MRD detection 211 cases AML in complete hematological remission after induction Mutations at diagnosis known per AML case Mean coverage (all mutations, after induction): 3357x Determine the distribution of VAFs in every base pair in all samples after induction (excluding those carrying a mutation at that position at diagnosis) Statistical test to determine whether a mutation at diagnosis is present above noise after induction (p-value)

  16. Number of mutations at diagnosis and MRD after induction Mutations present at diagnosis Mutations present after induction DIAGNOSIS 83 75 62 42 39 36 35 24 23 21 21 20 20 19 18 9 8 8 8 7 6 5 5 4 4 4 2 2 2 1 1 1 1 1 1 1 AFTER C2 3 57 2 5 20 9 10 0 11 2 2 6 2 1 9 1 0 0 3 3 1 0 1 1 1 4 0 0 0 0 0 0 0 0 0 1

  17. NPM1 mutations are cleared after induction Mutations present at diagnosis Mutations present after induction Mutant NPM1 is still detectable in 30% of cases by RQ-PCR (>10 -4.5 )

  18. RAS-associated mutations are cleared after induction Mutations present at diagnosis Mutations present after induction

  19. DNMT3A mutations persist after induction Mutations present at diagnosis Mutations present after induction 76% of DNMT3A mutations persist after induction at VAFs 0.002 - 0.51

  20. Question  Is NGS MRD predictive for relapse?

  21. Definition of NGS MRD DIAGNOSIS AFTER CYCLE 2 Induction cycles I and II MRD+ MRD-  Mutation present at diagnosis, present (above noise) after cycle 2 : MRD+  Mutation present at diagnosis, absent after cycle 2 : MRD-

  22. Preliminary results: NGS MRD detection all markers Competing risk: relapse Failure - Comp.Risk: Rel/PD NGS MRD after cycle II 100 Logrank P =0.02 P=0.02 75 Cumulative percentage MRD + pos 50 neg MRD - 25 0 0 69 months At risk: neg 107 76 53 20 0 pos 104 60 39 12 0 26 Sep 2016

  23. Number of mutations at diagnosis, after induction and after induction with VAF>2.5% Mutations present at diagnosis Mutations present after induction Mutations present after induction VAF>2.5% DIAGNOSIS 83 75 62 42 39 36 35 24 23 21 21 20 20 19 18 9 8 8 8 7 6 5 5 4 4 4 2 2 2 1 1 1 1 1 1 1 AFTER C2 3 57 2 5 20 9 10 0 11 2 2 6 2 1 9 1 0 0 3 3 1 0 1 1 1 4 0 0 0 0 0 0 0 0 0 1 VAF>2.5%+ 0 35 0 1 15 3 3 0 7 0 0 3 0 0 4 0 0 0 2 2 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0

  24. Clonal Hematopoiesis of Indeterminate Potential (CHIP) Features (in healthy individuals): 1. Absence of definitive morphological evidence of a hematological neoplasm 2. Does not meet diagnostic criteria of PNH, MGUS or MBL 3. Presence of a somatic mutation at a VAF > 2% (e.g. DNMT3A, TET2, ASXL1, JAK2, SF3B1, TP53, etc.) Jaiswal S., et al., NEJM 2014

  25. DNMT3A mutations persist at VAF>2.5% after induction Mutations present at diagnosis Mutations present after induction Mutations present after induction VAF>2.5% 47% of DNMT3A mutations (Klco et al, JAMA 2015) persist after induction at VAFs >2.5%

  26. CHIP mutations frequently persist after induction (VAF>2.5%) Mutations present at diagnosis Mutations present after induction Mutations present after induction VAF>2.5%

  27. Definition of NGS MRD excluding CHIP related mutations DIAGNOSIS AFTER CYCLE 2 MRD+ Induction cycles I and II Pre-leukemic cells with CHIP mutation in DNMT3A, TET2 or ASXL1 MRD-  Mutation present at diagnosis, present (above noise) after cycle 2 : MRD+  Mutation present at diagnosis, absent after cycle 2 or CHIP mutation : MRD-

  28. Preliminary results NGS MRD mutant DNMT3A, TET2 or ASXL1 as single markers Competing risk: relapse Mutant DNMT3A Mutant TET2 Mutant ASXL1 P=0.37 P=0.37 P=0.19 MRD + MRD -

  29. Preliminary results NGS MRD mutant DNMT3A, TET2 and ASXL1 Competing risk: relapse P=0.70 MRD + MRD - MRD + MRD -

  30. Preliminary results NGS MRD without mutant DNMT3A, TET2 and ASXL1 Competing risk: relapse P<0.001 MRD + MRD -

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