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Minimal residual disease
Bruno Paiva
University of Navarra, Spain
1st World Congress on Controversies in Multiple Myeloma. Bangkok, Thailand. May 11-13 2014
1962 1984 1983 1986 1999 1996 2003 2012 2005 2013
Oral melphalan
and prednisone
High-dose
melphalan
High-dose
dexamethasone
VAD (vincristine,
doxorubicin,
dexamethasone)
Autologous bone marrow
transplantation
Bisphosphonates
High-dose therapy with
autologous stem cell
support Proteasome
inhibitors
Bortezomib
Carfilzomib
Ixazomib (MLN 9708)
Phase II/III
Oprozomib (ONX 0912)
Phase I/II
Immunomodulatory drugs
Lenalidomide Thalidomide
Pomalidomide
Adapted from Anderson KC, Bench to bedside translation of targeted therapies in multiple myeloma. ASCO 2011.
Monoclonal
Antibodies
Elotuzumab
Phase II/III
Daratumumab
Phase I/II
MRD
What should be the treatment goal in
MM patients?
To search for an appropriate balance between treatment efficacy, toxicity
& costs
• In very elderly patients (> 80-85y)…….to ensure QoL & avoid additional
costs of expensive treatments
• In fit elderly patients (65-80y) & young ones with severe co-morbidities
……… treatment goal should be to prolong survival and ensure QoL
• In young patients (<65y) …In reference centers & large cooperative
groups……to investigate therapeutic schemes with a cure in the horizon
The paradigm of multiple myeloma
Therapy
M-P
rote
in, g
/dL
2
5
10
ASYMPTOMATIC SYMPTOMATIC
MGUS or
SMOLDERING
MYELOMA
ACTIVE
MYELOMA
1st RELAPSE
PLATEAU
REMISSION
REFRACTORY
RELAPSE
Time
2nd RELAPSE
1. Durie BG. International Myeloma Foundation; 2008:1-40
sustained
disease control
Adapted from Durie BG 1
sustained
disease control
Prolongation of patients survival ultimately requires significant tumor depletion to sustaining/control
minimal residual levels of disease for long periods of time
IMWG uniform response criteria
Stringent CR CR as defined below,
Normal FLC ratio and
Absence of clonal PCs by immunohistochemistry
CR Negative IFE of serum and urine
Disappearance of any soft tissue plasmacytomas, and
< 5% PCs in bone marrow
VGPR Serum and urine M-component detectable by IFE but not on PEP
≥ 90% reduction in serum M-component plus urine <100 mg/24 h
PR ≥ 50% reduction of serum M-protein and reduction in 24-hour urinary
M-protein by ≥ 90% or to < 200 mg/24 hours
If present at baseline, <50% reduction in the size of soft tissue
plasmacytomas is also required Other criteria for non-measurable disease
SD Not meeting criteria for CR, VGPR, PR, or PD
PD Increase of 25% from lowest response value of serum and urine M-
component
Rajkumar SV, et al. Blood. 2011;117(18):4691-4695
San Miguel JF et al. J Clin Oncol. 2013;31(4):448-55
Harousseau JL, et al. Blood. 2010;116(19):3743-3750
Elderly patients (VISTA trial)
RR (CR) (%): 71 (30) vs. 35 (4)
TTP
0 2 4 6 8 10 12 14 16 18 20 22 24 26
100
80
60
40
20
0
Pa
tie
nts
with
ou
t e
ve
nt (%
)
Time (months)
CR
PR
<PR
P<0,004
TTP
0 3 6 9 12
Time (months)
15 18 21 24 27
0
20
40
60
80
100
VMP
MP
Pa
tie
nts
with
ou
t e
ve
nt
(%)
VMP: 24.0 months
MP: 16.6 months, P<0.000001
Transplant-eligible patients (GIMEMA 26866138-
MMY-3006 trial)
Cavo M, et al. Lancet. 2010 Dec 18;376(9758):2075-85
Cavo M, et al. Blood. 2012;120(1):9-19
CR (%) VTD TD P-value
After induction therapy 23% 6% <.0001
After first ASCT 44% 30% .014
After second ASCT 49% 40% .131
After consolidation therapy 61% 47% .012
• Progression-free survival was significantly longer for patients receiving VTD
than in those on TD (HR 0.63, p=0.0061)
1. Lokhorst HM, et al. Haematologica. 2008;93:124-7. 2. Rajkumar SV, et al 2008 J Clin Oncol 26:2171-77. 3. Harousseau JL, et al 2010 J Clin Oncol 28:4621-4629. 4. Rajkumar SV, et al Lancet Oncol 2010; 11: 29–37. 5.
Sonneveld P, et al J Clin Oncol 2012; 30:2946-55. 6. Cavo M, et al Lancet 2010; 376: 2075–85. 7. Reeder CB, et al. Blood. 2010; 115:3416-7. 8. Richardson et al. Blood 2010;116:679-686. 9. Jakubowiak AJ, et al Blood.
2012 30;120:1801-9. 10. Palumbo A, et al. Blood. 2012;120:[abstract 730]. 11. Kumar S, et al . Blood. 2012;120:[abstract 332]. 12. Kumar S, et al. Blood 2012 119: 4375-82.
Pati
en
ts r
esp
on
din
g (
%)
Induction regimen
Selected induction regimens and response in MM
Adapted, Stewart et al Blood 2009
Courtesy of Dr. P. McCarthy. ASH Educational 2013
Prognostic value of depth of response in myeloma
• CR does not mean cure and therefore treatment is not individualized to achieve CR
• Some patients that do not achieve CR have excellent outcome
Several trials in the transplant setting 1-10, non-transplant setting,11-17 after salvage
therapie18-22, or associated to specific stages of treatment (ie. consolidation 23) show a
correlation between depth of response and progression-free survival
Lonial S & Anderson KC. Leukemia. 2013 Jul 19. doi: 10.1038/leu.2013.220
1. Lahuerta JJ, et al. J Clin Oncol 2008; 26: 5775–5782.
2. Moreau P, et al. Blood 2011; 117: 3041–3044.
3. Harousseau JL, et al. J Clin Oncol 2009;27: 5720–5726.
4. Galli M, et al. 2005; 90: 1643–1649.
5. Barlogie B, et al. Cancer 2008; 113: 355–359.
6. Dytfeld D, et al. Leuk Lymphoma 2011; 52: 1271–1280.
7. Gertz MA, et al. Blood 2010; 115: 2348–2353.
8. Kapoor P, et al. J Clin Oncol 2011; 29: (abstract 8069).
9. Alegre A, et al. Bone Marrow Transplant 1998; 21: 133–140.
10. Morgan GJ, et al. Blood. 2011 Aug 4;118(5):1231-8.
11. Oivanen TM, et al. Eur J Haematol 1999; 62: 109–116.
12. Gay F, et al. Blood 2011; 117: 3025–3031.
13. Kyle RA, et al. Cancer 2006; 106: 1958–1966.
14. Offidani M, et al. Blood 2006; 108: 2159–2164.
15. Harousseau JL, et al. Blood 2010; 116: 3743–3750.
16. Palumbo A, et al. J Clin Oncol 2007; 25: 4459–4465.
17. Mateos MV et al. Lancet Oncol 2010 Oct;11(10):934-41
18. Harousseau JL, et al. Haematologica 2010; 95: 1738–1744.
19. Niesvizky R, et al. Br J Haematol 2008; 143: 46–53.
20. Palumbo A, Ann Oncol 2008; 19: 1160–1165.
21. Pineda-Roman M, Leukemia 2008; 22: 1419–1427.
22. Quach H, et al. Leuk Lymphoma 2009; 50: 223–229.
23. Mellqvist UH et al. Blood 2013;121:4647-4654
Paiva et al. Leukemia 2013 (epub ahed of print)
Unbalance ratio in favor of clonal PCs
MGUS-like signature (symptomatic MM)
(N = 59)
Symptomatic MM
(N = 639) Higher BM
tumor burden
P = .812
CR (n=26) < CR (n=33)
Outcome of symptomatic MM with an MGUS-like
signature independent of depth of response
TTP
Median: Not reached
Median: Not reached
140 120 100 80 60 40 20 0
100
80
60
40
20
0
Time from diagnosis (months)
Identical results by GEP in Total Therapy protocols Zhan et al. Blood. 2007;109:1692-1700
Prognostic value of depth of response in myeloma
• CR does not mean cure and therefore treatment is not individualized to achieve CR
• Some patients that do not achieve CR have excellent outcome
• Some patients in CR relapse early on
Several trials in the transplant setting 1-10, non-transplant setting,11-17 after salvage
therapie18-22, or associated to specific stages of treatment (ie. consolidation 23) show a
correlation between depth of response and progression-free survival
Lonial S & Anderson KC. Leukemia. 2013 Jul 19. doi: 10.1038/leu.2013.220
1. Lahuerta JJ, et al. J Clin Oncol 2008; 26: 5775–5782.
2. Moreau P, et al. Blood 2011; 117: 3041–3044.
3. Harousseau JL, et al. J Clin Oncol 2009;27: 5720–5726.
4. Galli M, et al. 2005; 90: 1643–1649.
5. Barlogie B, et al. Cancer 2008; 113: 355–359.
6. Dytfeld D, et al. Leuk Lymphoma 2011; 52: 1271–1280.
7. Gertz MA, et al. Blood 2010; 115: 2348–2353.
8. Kapoor P, et al. J Clin Oncol 2011; 29: (abstract 8069).
9. Alegre A, et al. Bone Marrow Transplant 1998; 21: 133–140.
10. Morgan GJ, et al. Blood. 2011 Aug 4;118(5):1231-8.
11. Oivanen TM, et al. Eur J Haematol 1999; 62: 109–116.
12. Gay F, et al. Blood 2011; 117: 3025–3031.
13. Kyle RA, et al. Cancer 2006; 106: 1958–1966.
14. Offidani M, et al. Blood 2006; 108: 2159–2164.
15. Harousseau JL, et al. Blood 2010; 116: 3743–3750.
16. Palumbo A, et al. J Clin Oncol 2007; 25: 4459–4465.
17. Mateos MV et al. Lancet Oncol 2010 Oct;11(10):934-41
18. Harousseau JL, et al. Haematologica 2010; 95: 1738–1744.
19. Niesvizky R, et al. Br J Haematol 2008; 143: 46–53.
20. Palumbo A, Ann Oncol 2008; 19: 1160–1165.
21. Pineda-Roman M, Leukemia 2008; 22: 1419–1427.
22. Quach H, et al. Leuk Lymphoma 2009; 50: 223–229.
23. Mellqvist UH et al. Blood 2013;121:4647-4654
Importance of achieving durable complete response (Results from TT2*)
Barlogie et al. Cancer 2008;113:355–359
SUS-CR:achieved and
sustained
CR status
NON-CR:never achieved
CR status
LOS-CR:attained
and lost
CR status
Survival by 3 year CR
Years from 3 years from enrollment 0 2 4 6
0%
20%
40%
60%
80%
100%
P value: a v b<0.0001, b v c <0.0001, a v c <0.0001
SUS-CR 28/256 NR
NON-CR 63/211 5.6 (4,6)
LOS-CR 23/39 1.6 (1,2)
*Total therapy 2 regimen: Induction: VAD, DCEP, CAD, DCEP
(TT2) Double transplantation: MEL 200 x 2
Consolidation: DCEP vs DCEP/CAD
Maintenance: Interferon
Randomization: thalidomide throughout vs no
thalidomide
Deaths/N Median in years
Prognostic value of depth of response in myeloma
• CR does not mean cure and therefore treatment is not individualized to achieve CR
• Some patients that do not achieve CR have excellent outcome
• Some patients in CR relapse early on
• Similar CR rates are associated with different outcome
• Different CR rates do not translate into different outcome
Several trials in the transplant setting 1-10, non-transplant setting,11-17 after salvage
therapie18-22, or associated to specific stages of treatment (ie. consolidation 23) show a
correlation between depth of response and progression-free survival
Lonial S & Anderson KC. Leukemia. 2013 Jul 19. doi: 10.1038/leu.2013.220
1. Lahuerta JJ, et al. J Clin Oncol 2008; 26: 5775–5782.
2. Moreau P, et al. Blood 2011; 117: 3041–3044.
3. Harousseau JL, et al. J Clin Oncol 2009;27: 5720–5726.
4. Galli M, et al. 2005; 90: 1643–1649.
5. Barlogie B, et al. Cancer 2008; 113: 355–359.
6. Dytfeld D, et al. Leuk Lymphoma 2011; 52: 1271–1280.
7. Gertz MA, et al. Blood 2010; 115: 2348–2353.
8. Kapoor P, et al. J Clin Oncol 2011; 29: (abstract 8069).
9. Alegre A, et al. Bone Marrow Transplant 1998; 21: 133–140.
10. Morgan GJ, et al. Blood. 2011 Aug 4;118(5):1231-8.
11. Oivanen TM, et al. Eur J Haematol 1999; 62: 109–116.
12. Gay F, et al. Blood 2011; 117: 3025–3031.
13. Kyle RA, et al. Cancer 2006; 106: 1958–1966.
14. Offidani M, et al. Blood 2006; 108: 2159–2164.
15. Harousseau JL, et al. Blood 2010; 116: 3743–3750.
16. Palumbo A, et al. J Clin Oncol 2007; 25: 4459–4465.
17. Mateos MV et al. Lancet Oncol 2010 Oct;11(10):934-41
18. Harousseau JL, et al. Haematologica 2010; 95: 1738–1744.
19. Niesvizky R, et al. Br J Haematol 2008; 143: 46–53.
20. Palumbo A, Ann Oncol 2008; 19: 1160–1165.
21. Pineda-Roman M, Leukemia 2008; 22: 1419–1427.
22. Quach H, et al. Leuk Lymphoma 2009; 50: 223–229.
23. Mellqvist UH et al. Blood 2013;121:4647-4654
Palumbo et al. EHA 2011 (oral presentation; plenary session)
CR: 25%
CR: 20%
P =.49
Similar results presented at the IMW2013 comparing CyRD vs. HDT/ASCT
Gay, F et al. IMW 2013 Abstract 7 (oral presentation; plenary session)
Prognostic value of depth of response in myeloma
• CR does not mean cure and therefore treatment is not individualized to achieve CR
• Some patients that do not achieve CR have excellent outcome
• Some patients in CR relapse early on
• Similar CR rates are associated with different outcome
• Different CR rates do not translate into different outcome
Several trials in the transplant setting 1-10, non-transplant setting,11-17 after salvage
therapie18-22, or associated to specific stages of treatment (ie. consolidation 23) show a
correlation between depth of response and progression-free survival
Lonial S & Anderson KC. Leukemia. 2013 Jul 19. doi: 10.1038/leu.2013.220
1. Lahuerta JJ, et al. J Clin Oncol 2008; 26: 5775–5782.
2. Moreau P, et al. Blood 2011; 117: 3041–3044.
3. Harousseau JL, et al. J Clin Oncol 2009;27: 5720–5726.
4. Galli M, et al. 2005; 90: 1643–1649.
5. Barlogie B, et al. Cancer 2008; 113: 355–359.
6. Dytfeld D, et al. Leuk Lymphoma 2011; 52: 1271–1280.
7. Gertz MA, et al. Blood 2010; 115: 2348–2353.
8. Kapoor P, et al. J Clin Oncol 2011; 29: (abstract 8069).
9. Alegre A, et al. Bone Marrow Transplant 1998; 21: 133–140.
10. Morgan GJ, et al. Blood. 2011 Aug 4;118(5):1231-8.
11. Oivanen TM, et al. Eur J Haematol 1999; 62: 109–116.
12. Gay F, et al. Blood 2011; 117: 3025–3031.
13. Kyle RA, et al. Cancer 2006; 106: 1958–1966.
14. Offidani M, et al. Blood 2006; 108: 2159–2164.
15. Harousseau JL, et al. Blood 2010; 116: 3743–3750.
16. Palumbo A, et al. J Clin Oncol 2007; 25: 4459–4465.
17. Mateos MV et al. Lancet Oncol 2010 Oct;11(10):934-41
18. Harousseau JL, et al. Haematologica 2010; 95: 1738–1744.
19. Niesvizky R, et al. Br J Haematol 2008; 143: 46–53.
20. Palumbo A, Ann Oncol 2008; 19: 1160–1165.
21. Pineda-Roman M, Leukemia 2008; 22: 1419–1427.
22. Quach H, et al. Leuk Lymphoma 2009; 50: 223–229.
23. Mellqvist UH et al. Blood 2013;121:4647-4654
Superior CR rates, but no differences in survival
MRC Myeloma IX trial (non-intensive)
Morgan GJ, et al. Blood. 2011 Aug 4;118(5):1231-8.
GIMEMA 26866138-MMY-3006
Cavo M, et al. Blood. 2012;120(1):9-19
R
Induction
HDT/ASCT R
Consolidation
Yes
No
Maintenance
Yes
No
R
R
Active drug
Placebo
Experimental
Standard
R
• Kinetics of response rather than a single assessment are more meaningful
• Historical landmark analysis do not take into consideration subsequent treatment strategies
• The most informative response assessments take place at the latest stages of treatment
• Ultimately, it needs to be really sensitive REDEFINE CR CRITERIA
Can single snapshot CR (or any depth-of-response)
assessment produce a miracle?
Re-defining the CR criteria in MM
Cellular clonality Cellular production Cellular dissemination
• Immunohistochemistry
• Flow cytometry
• ASO-PCR
• NGS
• sFLC
• Hevylite
• Isotype specific LC-MS/MS
• PET/CT
• WB-MRI
< 5% PCs in
bone marrow
Negative IFE of
serum and urine
Disappearance of soft
tissue plasmacytomas
Monitoring disease with PET/CT and WB-MRI
• PET/CT retained prognostic relevance also in
patients achieving CR (positive in 23%) 1
• MRD by WB-MRI was positive in 18% of patients
in CR, whereas MRI-CR was observed in 66% of
patients in PR (and in 33% of patients with
SD/PD). 2
• In how many patients in MRD is seen outside the
BM?
• Is the baseline imaging mandatory?
• Is there inter-observer reproducibility? 1,3
• False + (infection and/or inflammation) and false -
(high-dose steroids) results 4
1. Zamagni et al. Blood 2011;118(23):5989-95
2. Hillengass et al. Haematologica 2012; 97(11):1757-176
3. Moreau et al. Blood 2011;118(23): 5984-5985
4. Zamagni et al. Br J Haematol 2012;159: 499-513
PF
S A
ccord
ing to P
ET
-SU
V
Post-
AS
CT
PE
T/C
T in P
atients
Achie
vin
g C
R
1.00
0.75
0.50
0.25
0.00
0 12 24 36 48 60
PET-SUV 100%
reduction
30%
61%
Logrank P value=0.0195
Months
PET-SUV <100%
reduction
Re-defining the CR criteria in MM
Cellular clonality Cellular production Cellular dissemination
• Immunohistochemistry
• Flow cytometry
• ASO-PCR
• NGS
• sFLC
• Hevylite
• Isotype specific LC-MS/MS
• PET/CT
• WB-MRI
< 5% PCs in
bone marrow
Negative IFE of
serum and urine
Disappearance of soft
tissue plasmacytomas
HLC ratios after treatment correlate with survival in
symptomatic multiple myeloma
Ludwig et al. Leukemia 2013;27(1):213-9.
All patients Patients in ≥ PR Patients in ≥ VGPR
• Early monitoring (after 2 cycles) of HLC patterns is an independent predictor of rapid response Bhutani M, et al. Blood 2013;122( 21): abstract 762
• HLC ratio as a surrogate marker of immune recovery after myeloablative transplantation, rather
than as a marker of minimal residual disease Tovar N, et al. Biol Blood Marrow Transplant. 2012;18(7):1076-9.
Does the stringent CR criteria represent a deeper
level of remission as compared to conventional CR?
• TTP in 115 patients in CR after induction (PETHEMA GEM05≥65 & GEM05<65 trials)
80 70 60 50 40 30 20 10 0
100
80
60
40
20
0 P=.190
Time from diagnosis (months)
80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
P=.80
Time from diagnosis (months) Time from diagnosis (months)
80 70 60 50 40 30 20 10 0
100
80
60
40
20
0 P<.001
stringent CR
conventional CR
normal FLC
abnormal FLC
2-color FCM (IHC) -
2-color FCM (IHC) +
Martinez-Lopez et al; IMW 2013 (Abstract 415); poster presentation
Importance of achieving stringent CR
after ASCT in multiple myeloma
• Fully defined stringent CR using sFLC+IHC discriminates different outcomes among
patients in CR
Kapoor P et al. J Clin Oncol 2013;31:4529-35
Re-defining the CR criteria in MM
Cellular clonality Cellular production Cellular dissemination
• Immunohistochemistry
• Flow cytometry
• ASO-PCR
• NGS
• sFLC
• Hevylite
• Isotype specific LC-MS/MS
• PET/CT
• WB-MRI
< 5% PCs in
bone marrow
Negative IFE of
serum and urine
Disappearance of soft
tissue plasmacytomas
Kappa probe X200
Lambda probe X200
IHC for the detection of (minimal?) residual disease?
Trephine biopsy: BM clonality is defined when the Κ/λ ratio is >4:1 or <1:2 for Κ and λ
patients, respectively, after counting ≥100 PCs
- BM biopsies is not a world-wide standard procedure
The majority of Κ/λ ratios after chemotherapy are polyclonal,
and clonality can only be detected after identification of
phenotypically aberrant cells
Normal PCs
Clonal PCs
MRD monitoring by NGS - superior applicability and sensitivity -
• Among CR (n=62), NGS discriminated two risk groups with different TTP (131 vs 35months, P <0.001) but
no differences for overall survival (both medians NR, P =0.1)
• Similar results for TTP/OS obtained by 4-color flow cytometry
• NGS+ MFC- patients have inferior TTP (P =.048) compared to NGS- MFC- cases
Martinez-Lopez J, et al. Blood 2013;122: abstract 1848
MRD monitoring by 4-color flow: patients >65y
Median: NR
Median: 29m
P =.049
Flow CR (n=24) MRD positive (n=20)
Time from MRD assessment (months)
• 44 patients in CR after induction therapy (GEM2005MAS65)
TTP OS
Both medians NR
P =.145
Time from MRD assessment (months)
100 90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
100 90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
Paiva B et al; J Clin Oncol. 2011;29(12):1627-33. (f/u updated March 2014)
MRD monitoring by 4-color flow: patients <65y
Median: 50m
Median: 27m
P =.001
Flow CR (n=68) MRD positive (n=34)
Time from MRD assessment (months)
• 102 patients in CR after HDT/ASCT (GEM2005NENOS65)
TTP OS
Both medians NR
P =.21
Time from MRD assessment (months)
90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
Paiva et al. Blood 2010. 116; abstr 1910 (f/u updated April 2014)
Rawstron A, et al. J Clin Oncol. 2013;31(20):2540-7.
p-value for logrank test = .0018
1.0
0.8
0.6
0.2
0.4
0.0
0.9
0.7
0.5
0.1
0.3
0 24 48 72 6 12 18 30 36 42 54 60 66
PFS
• 214 patients in CR after HDT/ASCT (MRC myeloma IX)
MRD monitoring by 6-color flow: patients <65y
Flow CR (n=183) MRD positive (n=31)
Time from MRD assessment (months)
Non-significantly inferior OS
(median 61.9 months vs. not reached; P =.0928)
Why is it so difficult to see differences on OS?
Flow CR (n=111)
MRD positive (n=121)
(GEM2005MENOS65) 232 patients tested for MRD (GEM2005MAS65) 153 patients tested for MRD
OS
P =.003
Time from MRD assessment (months)
100 90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
Flow CR (n=34)
MRD positive (n=119)
OS
Both medians: NR
P =.017
Time from MRD assessment (months)
Both medians: NR
90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
MRD monitoring by 4-color flow: patients <65y
Median: 61m
Median: 62m
P < 0.001 P < 0.001 Median: 36m
Median: 141m
160 140 120 100 80 60 40 20 0
100
80
60
40
20
0
140 120 100 80 60 40 20 0
100
80
60
40
20
0
• 125 patients in CR after HDT/ASCT (GEM2000)
TTP OS
Flow CR (n=71) MRD positive (n=57)
Paiva B et al; Blood. 2008; 15;112(10):4017-23 (f/u updated July 2012)
Re-defining the CR criteria in MM
Cellular clonality Cellular production Cellular dissemination
• Immunohistochemistry
• Flow cytometry
• ASO-PCR
• NGS
• sFLC
• Hevylite
• Isotype specific LC-MS/MS
• PET/CT
• WB-MRI
< 5% PCs in
bone marrow
Negative IFE of
serum and urine
Disappearance of soft
tissue plasmacytomas
How to choose?
0 1 2 3 4 5 6 7 8 9
stringent CR 1
Flow cytometry 2-9
ASO-PCR 8,10,11
NGS 9
PET/CT 12
PFS OS
Published/reported data EXCLUSIVELY among
patients in CR
1. Kapoor P et al. J Clin Oncol 2013;31:4529-35
2. Rawstron AC, et al. Blood 2002; 100(9):3095-3100
3. Paiva B et al; Blood. 2008; 15;112(10):4017-23
4. Paiva B et al. Blood 2010;116: abstract 1910
5. Paiva B et al; J Clin Oncol. 2011;29(12):1627-33
11. Corradini P, et al. Blood. 2003;102:1927-1929
12. Zamagni et al. Blood 2011;118(23):5989-95
6. Paiva B, et al. Blood. 2012;119:687-91.
7. Rawstron A, et al. J Clin Oncol. 2013;31(20):2540-7.
8. Puig N et al. Leukemia. 2013. doi: 10.1038/leu.2013.217
9. Martinez-Lopez J, et al. Blood 2013;122: abstract 1848
10. Martinelli G, et al. J Clin Oncol 2000;18:2273-2281
Unmet need to consistently go beyond 10-5
200.000 events 2.000.000 events > 4.000.000 events
MRD+ve: 0.001% (10-5)
GEM2010 GEM2012 GEM2000/GEM2005
Higher sensitivity uncovers the unmeet need for
higher resolution
Polyclonal
Clonal
% o
f tu
mor
cells
0
1 10-1 10-2 10-3 10-4
Background
Protein
• monoclonal vs. oligoclonal sPEP
• atypical abnormal sFLC ratios
Imaging • false + (infection; inflammation)
• false - (high-dose steroids)
Cellular
• new “normal” phenotypes
• disproportional amplification of
different rearrangements
Standardization of multidimensional flow cytometry to
implement Flow-CR as a clinical end-point
Normal PC
reference
Myeloma PC
reference
• Software guided PC identification and computerized classification of normal vs. aberrant PCs
• Can imaging- or NGS- based MRD monitoring be performed w/o baseline evaluation?
CLL/MBL-like clone in
~5% of MM patients
Paiva B, et al. unpublished observations
Do I have available baseline sample/studies?
Ig sequencing
In which patients and where should
MRD be investigated?
140 120 100 80 60 40 20 0
100
80
60
40
20
0
Standard-risk / MRD- (n=88)
High-risk / MRD- (n=82)
Standard-risk / MRD+ (n=119)
High-risk / MRD+ (n=25)
GEM2000+GEM2005<65y: Impact on survival of achieving immunophenotypic CR according to cytogenetics
PFS
Standard-risk / MRD- vs Standard-risk / MRD+; P < 0.001
vs High-risk / MRD-; P =.462
High-risk /MRD- vs Standard-risk / MRD+; P=.135
vs High-risk / MRD+; P = 0.001
Identical results in the MRC myeloma IX study Rawstron A, et al. J Clin Oncol. 2013;31(20):2540-7.
Where could Flow-CR be clinically relevant?
Pretreatment prognostic factors
MRD
Induction TD TD TD
HDT/ASCT
Consolidation
Not all patients in CR after induction look the same
at the MRD level
Median: 85m
Median: 10m
P =.001
Flow CR (n=6)
MRD positive (n=16)
Time from MRD assessment (months)
• 22 patients in CR after HDT/ASCT:
monitoring stem cell harvests
TTP MRD (-) MRD (-)
MRD (+) MRD (-)
MRD (+) MRD (+)
P =.84
• PFS: GEM2000 & GEM2005<65y
(patients in CR after induction)
140 120 100 80 60 40 20 0
100
80
60
40
20
0
Paiva B, et al. (unpublished)
Time from diagnosis (months)
TTP
Similar results by PCR: Takamutsu H, et al. Exp Hematol. 2013;41(10): 894-902
140 130 120 110 100 90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
Pretreatment prognostic factors
MRD
Induction TD TD TD
HDT/ASCT TD
Consolidation
Maintenance
F/up
Where could Flow-CR be clinically relevant?
Progression-free survival by 100-day outcome assessed in all patients by MRD/maintenance; T: thalidomide; NM: no
maintenance
p-value for logrank test = 0.036
Pro
po
rtio
n e
ven
t fr
ee
1.0
0.8
0.6
0.2
0.4
0.0
0.9
0.7
0.5
0.1
0.3
0 24 48 72 6 12 18 30 36 42 54 60 66
T; MRD+ NM; MRD+
MRC myeloma IX trial: What about maintenance
therapy after HDT/ASCT?
Rawstron A, et al. J Clin Oncol. 2013;31(20):2540-7.
Maintenance alone did not overcome unsustained CR
TTP after day+100 HDT/ASCT
P <.001 P <.001
Median: NR
Median: 83m
Median: 28m
80%
94%
Standard-risk FISH + MRD negative (n=58)
High-risk* FISH OR MRD positive (n=45)
High-risk* FISH + MRD positive (n=7)
0%
Median: 6m
1y
Median: 47m
Median: 21m
100 90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
42%
89%
2.5y
76%
5y
OS after day+100 HDT/ASCT
100 80 60 40 20 0
100
80
60
40
20
0
Paiva B, et al. Blood. 2012;119:687-91.
Months Months
* t(4;14), t(14;16) and/or del(17p)
Pretreatment prognostic factors
MRD
Induction TD TD TD
HDT/ASCT TD
Consolidation TD
Maintenance
F/up
F/up
Where could Flow-CR be clinically relevant?
Impact of MRD after consolidation with VTD
Ladetto M et al. J Clin Oncol. 2010;28:2077.
Ladetto M et al. Blood. 2011;118: Abstract 827.
Patients: (n=39) with ≥VGPR after consolidation
Pretreatment prognostic factors
MRD
Induction TD TD TD
HDT/ASCT TD
Consolidation TD
Maintenance TD
F/up
F/up TD
TD
Preventive
treatment
Where could Flow-CR be clinically relevant?
Treatment prolonged until MRD clearance or stabilization (plateau)
“Continuous treatment“ “consolidation/maintenance” (+/- 4 or 6 m)
and stop
Can we turn myeloma into CML?
R
Can we turn myeloma into CML?
• Immunophenotypic relapse anticipate clinical relapse 1
• There is a 9 months lag between molecular CR loss and need for salvage treatment 2
• Flow cytometry permits the detection of MRD preceding frank relapse 3
• A dynamic increase in molecular tumor burden detectable by RQ-PCR, predicts late
disease relapses several months before clinical recurrence 4
• Should these patients be re-treated (e.g.: MoAb±IMiD?) 1. Rocci A et al. Blood 2013;122: abstract 3126
2. Ferrero S et al. Blood 2013;122: abstract 2077
3. Kosuri S et al. Blood 2013;122: abstract 4647
4. Ladetto M et al. Blood 2011;118: abstract 827
31 patients in CR + Flow CR
after up-front treatment
MRD monitoring
during f/up MRD positive:
85% clinical relapse
Flow CR:
39% clinical relapse
P =.01
Paiva B et al. manuscript ijn preparation
Pretreatment prognostic factors
MRD
Induction TD TD TD
HDT/ASCT TD
Consolidation TD
Maintenance TD
F/up
F/up TD
TD
Preventive
treatment
Salvage
treatment
Relapse
TD
Where could Flow-CR be clinically relevant?
150 140 130 120 110 100 90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
Median: 25m
Median: 13m
P =.035
Flow CR (n=20) MRD positive (n=23)
Time from MRD assessment (months)
• 43 patients in CR after salvage therapy (81% treated w/o novel agents; 63% received SCT)
TTP OS
Median: NR
Median: 38m
P =.221
Time from MRD assessment (months)
Myeloma-related deaths: 103m vs. 41m (P =.05)
BSBMT/Ukmf Myeloma X (patients in CR after salvage therapy) TTP: 25 vs. 10m (P <.001) Ashcroft J et al; Blood 2013;122 (21): abstract 3378
140 130 120 110 100 90 80 70 60 50 40 30 20 10 0
100
80
60
40
20
0
Paiva B. et al. EHA 2013; abstract P219; median f/up: 16 months
MRD monitoring by 4-color flow: R/R patients
125 100 75 50 25 0
100
80
60
40
20
0
OS
P < 0.001
Time from diagnosis (months)
• Standard-risk (80%): 6-8 years median OS
• High-risk (20%): 2-3 years median OS - t(4;14)
- t(14;16)
- del(17p)
- GEP signature
• Many novel agents being developed - monoclonal antibodies
- deacetylase inhibitors
- many more…
• Wait 8-years to demonstrate improvement in OS
of standard-risk patients?
• Wait for early dead to demonstrate lack of
improvement OS in high-risk patients?
Where else can MRD be of help in MM?
140 120 100 80 60 40 20 0
100
80
60
40
20
0
PETHEMA/GEM & MRC: same PFS independent of previous induction regimen
GEM2000: MRD - (n=71)
MRD + (n=54)
PFS
Medians: 62m & 59m P =.21
Medians: 36m & 39m P =.90
Time from diagnosis (months)
GEM2005<65y: MRD - (n=68)
MRD + (n=34)
Rawstron A, et al. IMW 2013 Abstract 16 (oral presentation; plenary session)
Paiva et al. Blood 2010. 116; abstr 1910. (updated July 2012)
PFS
State of the art therapy should go along with state
of the art response criteria
Year 1998 2006 2011 2013 2014
Criteria EBMT (Blade) 1 IMWG 2 IMWGv2 3 ?
Depth of
response CR Stringent CR
Flow CR
Molecular CR
Flow CR
Molecular CR
NGS CR
PET/CT
Flow CR
NGS CR
Imaging CR
Thalidomide
Lenalidomide
Bortezomib Carfilzomib
Pomalidomide
HDT/ASCT MoAbs??