Post on 19-May-2020
Acute Leukemia -
Present and Future
Brent Wood MD, PhD
Department of Laboratory Medicine
University of Washington
Acute Leukemia
• Diagnosis
• 20% blasts by morphology
• Classification
• Lineage assignment
• Cytogenetic/Molecular lesions
• Prognostication
• Age, white count
• Cytogenetic/Molecular lesions
• Post-therapeutic Monitoring
Abnormal population identification
• Normal
– Antigens expressed in consistent and reproducible patterns with maturation
• Neoplastic
– Increased or decreased normal antigens
– Asynchronous maturational expression
– Aberrant antigen expression
– Homogeneous expression
Normal B cell Maturation
Wood and Borowitz (2006) Henry’s Laboratory Medicine
Normal B cell Maturation
Wood (2004) Methods Cell Biology 75:559-576
Precursor B cell
Lymphoblastic Leukemia
Wood and Borowitz (2006) Henry’s Laboratory Medicine
Rothenberg, et al (2008) Nat Reviews 8:9-21
Normal T cell Maturation
Wood and Borowitz (2006) Henry’s Laboratory Medicine
Precursor T-cell Lymphoblastic Leukemia
Cherian and Wood (2012) Flow Cytometry in Evaluation of Hematopoietic Neoplasms: A Case-Based Approach
T-ALL Outcome
Schrappe, et al (2011) Blood 2077-2084
T-ALL
Schrappe, et al (2011) Blood 2077-2084
Precursor T-cell Lymphoblastic Leukemia
Cherian and Wood (2012) Flow Cytometry in Evaluation of Hematopoietic Neoplasms: A Case-Based Approach
Early Thymic Precursor T-ALL
• CD1a and CD8 negative
• CD5 < 75% positive
• HLA-DR, CD13, CD33, CD34 or CD117 positive
• Overlap with MPAL
– Dependent on cyto CD3
– Absence of MPO or monocytic antigens
ETP T-ALL Pretreatment
09-01859
Coustan-Smith et al (2009) Lancet Oncology 10:147-156
Zhang, et al (2012) Nature 481:157-163
Acute Myeloid Leukemia
• Heterogeneous group of diseases
– Accumulation of non-lymphoid progenitors
– Poor maturation
– Stem cell-like characteristics (subset)
• Molecular basis
– Large number of abnormalities described
– Multiple mutations per case
• Adult > Pediatric
Cell Type Identification
Borowitz et al (1993) AJCP 100:534-40.
Steltzer et al (1993) Ann NY Acad Sci 667:265-280
Normal Blast Maturation
Wood (2004) Methods Cell Biology 75:559-576
Blasts - Abnormal Antigen Intensity
Wood (2007) Clinics in Lab Medicine 27:551-575
Blasts - Aberrant Lymphoid Antigens
Wood (2007) Clinics in Lab Medicine 27:551-575
Blasts - Aberrant Maturation
Wood (2007) Clinics in Lab Medicine 27:551-575
Acute Myeloid Leukemia
Wood and Borowitz (2006) Henry’s Laboratory Medicine
Normal Granulocytic Maturation
Wood and Borowitz (2006) Henry’s Laboratory Methods
Normal Granulocytic Maturation
Wood (2004) Methods Cell Biology 75:559-576
Acute Promyelocytic Leukemia
Wood and Borowitz (2006) Henry’s Laboratory Medicine
Normal Monocytic Maturation
Wood and Borowitz (2006) Henry’s Laboratory Methods
Normal Monocytic Maturation
Wood (2004) Methods Cell Biology 75:559-576
Acute Monocytic Leukemia
Acute Myelomonocytic Leukemia
Wood and Borowitz (2006) Henry’s Laboratory Medicine
Acute Myeloid Leukemia
• Immunophenotypic classification
– Loose relationship to genetic abnormalities
– Largely irrelevant clinically
• Molecular classification is the future
From Kern et al (2005) CRC Rev Onc/Hem 56:283-309
Methods for MRD Detection
• Antigenic abnormalities
– Alterations in protein expression
– Integrates effect of molecular abnormalities
– Flow cytometry commonly used
• Molecular mutations
– Specific molecular lesions
• No single target
– Most assays use PCR of single genes
• Next generation sequencing in development
COG MRD Panels
• B lineage ALL
• T lineage ALL
FITC PE PerCP-
Cy5.5
PE-Cy7 APC APC-H7
Tube 1 CD20 CD10 CD38 CD19 CD58 CD45
Tube 2 CD9 CD13/33 CD34 CD10 CD10 CD45
PB FITC PE PE-
TR
PE-
Cy5
PE-
Cy7
A594 APC APC-
H7
Tube 1 CD16 cCD3 CD7 CD56 CD5 CD38 CD3 CD45
Tube 2 CD8
BV421
CD48 CD5 CD34 CD16+
56
CD3 CD4 CD7 CD45
0.1% abnormal immature B cells
ALL MRD
06-01469
T-ALL MRD
12-03268
12-02987
From Kern et al (2005) CRC Rev Onc/Hem 56:283-309
Average 2.3 LAIP per patient
AML Informative Antigens
AML MRD stem cells
Van Rhenan (2007) Leukemia 21:1700-7
Residual Acute Leukemia
0.007% Wood (2007) Clinics Lab Med 27:551-575
Immunophenotypic Stability
• ALL
762510
Immunophenotypic Stability• ALL
– 30 consecutive patients with MRD detectable
– All had some change in immunophenotype
– CD10 and CD34 down-modulation, CD19 and CD20 upmodulation
– Associated with use of steroid in induction therapy
From Giapa et al (2005) Leukemia 19:49-56
Immunophenotypic Stability
T-ALL
Roshal, et al (2009) submitted
Immunophenotypic Stability
T-ALL
Roshal, et al (2009) submitted
56.3%
8.8%
0.2%
Diagnosis
Day 16
Day 32
HP06-05604
Population Identification
• Leukemia-associated immunophenotype
– At diagnosis
• Region containing infrequent number of events
• Relative to specific reagent combination
– Follow-up
• Enumerate number of events in predefined region
– Focus not on population identification
• Does not account for shifts in immunophenotype
• Increased dependence on background noise
• Uncertain what is being detected
LAIP
From Feller et al (2004) Leukemia 18:1380-1390
LAIP
From Kern et al (2005) CRC Rev Onc/Hem 56:283-309
Focus is immunophenotype, not population
Prognostic significance of MRD in pediatric
ALL (flow cytometry)
Borowitz et al. Blood 111:5477-85 (2008)
Prognostic significance of MRD in pediatric
ALL (flow cytometry)
Borowitz et al. Blood 111:5477-85 (2008)
Prognostic significance of MRD in pediatric
ALL (flow cytometry)
Borowitz et al. Blood 111:5477-85 (2008)
Prognostic significance of MRD in
pediatric ALL (flow cytometry)
Borowitz et al. Blood 111:5477-85 (2008)
San Miguel et al, (2001) Blood 98:1746-51
Large portion of adult AML patients have
occult leukemia at achievement of remission
• 61 of 82 (74%) with
> 0.1% LAP cells
had high relapse risk
• 21 of 82 (26%) had
much lower relapse
risk
(APL patients
excluded)
AML MRD Transplant
Walter, et al (2011) JCO 29:1190-7
OS EFS
CR1 prior to transplant HR = 7.06 DFS, 8.49 Relapse
MRD by Next Gen Sequencing
• Determine unique sequence at diagnosis
– TCR gamma
– TCR beta
• Deep sequence locus and count number
of unique sequences present
– ? Number of normal sequences present
• TCR gamma insufficiently diverse
• TCR beta is better
– ? Tumor heterogeneity
PT
_44
PT
_63
PT
_48
PT
_9
PT
_7
PT
_15
PT
_59
PT
_36
PT
_33
PT
_53
PT
_52
PT
_5
PT
_50
PT
_1
PT
_32
PT
_8
PT
_30
PT
_49
PT
_66
PT
_39
PT
_65
PT
_41
PT
_61
PT
_51
PT
_6
PT
_47
PT
_4
PT
_58
PT
_2
PT
_40
PT
_14
PT
_55
PT
_57
PT
_3
PT
_12
PT
_54
PT
_45
PT
_60
PT
_68
PT
_56
PT
_13
PT
_42
PT
_11
Flow Cytometry
TCRBSEQ
0.00001
0.0001
0.001
0.01
0.1
1.0
0.0
Da
y 2
9 C
an
cer
clo
ne
Freq
uen
cy
Individual
ETP
nETP
0,001
0,01
0,1
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Da
y 0
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nce
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equ
ency
Wu, et al (2012) Sci Trans Med 4: 1-7
Conclusions
• Flow cytometry is capable of minimal residual detection
– Rapid
– Cost effective
– Quantitative
– Applicable to wide range of disorders
• Requires
– Consistent flow cytometric technique
– Informative immunophenotype
– Knowing normal patterns of antigenic expression
• Immunophenotypic change is common
– Leukemia-associated immunophenotype may be misleading
• Residual disease strongly associated with poor outcome
– Post-induction, post-consolidation, pre-transplant, post-transplant