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23/10/2017 1 Immunophenotype of dysplastic and leukemic monocytic cells Dr. Sergio Matarraz Cytometry Service (NUCLEUS). Department of Medicine Centro de Investigación del Cáncer IBSAL-Universidad de Salamanca/CSIC Identification of early-monocytic commitment is relatively often tough in AML Promonocytes NSE- monocytic leukemias Poor prognosis of Monocytic aberrancies in low-risk MDS Metze K, Cell Immunol 2016 Transformed SSC CD34 Cell lineage Phenotype Frequency Normal BM (%) Neutrophil CyMPO+, CD13hi 31 (12-39) B-Lymphoid nTdT+, cyCD79a+, CD19+ 23 (<1-45) Erythroid CD36+, CD64-, CD45dim, CD105+ 15 (5-35) pDC CD123hi, HLA-DRhi, CD36+ 6 (1-15) Monocytic CyMPO-, CD64+, HLA-DR+, CD117dim 5 (3-15) Basophil CD123hi, HLA-DRdim, CD117dim, CD45hi, CD203c+ <1 (<1-3) Megakaryocytic CD61+, CD45dim <1 Eosinophil CyMPO-, CD15/65+, CyPEo+ <1 Mast cell CD117hi, HLA-DRdim, CD45hi <1 Monocytic differentiation in normal BM Monocytic lineage Erythroid lin. CD36 CD64 Gated CD34+ BM cells CD64: high-affinity IgG receptor FcgRI (van der Poel et al, J. Immunol 2011) Matarraz et al, Leukemia 2008 Matarraz S et al. Cytometry B 2015 Monocytic precursors (e.g. monoblasts) Mature Monocytes Promonocytes HLA-DR (PacB) CD117 (PECy7) CD64 (PE) Mature Monocytes CD14 (APCH7) CD35 (FITC) CD300e (IREM2) (APC) Mature Monocytes CD14 (APCH7) CD36 (FITC) CD14 (APCH7) Mature Monocytes CD34+ Monocytic differentiation in normal BM CD34+ CD34+ Promonocytes CD14 (APCH7) CD14 (APC-Cy7) CD312 (APC) CD300e+ CD34+ CD86 (PE-Cy7) CD300e+ CD34+ CD62L (BV 650) CD34+ CD38 (BV-605) CD300e+ Manuscript in preparation CD14 (APC-Cy7) Other markers of Monocytic maturation

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23/10/2017

1

Immunophenotype of dysplastic and

leukemic monocytic cells

Dr. Sergio Matarraz

Cytometry Service (NUCLEUS).

Department of Medicine

Centro de Investigación del Cáncer

IBSAL-Universidad de Salamanca/CSIC

Identification of early-monocytic commitment is

relatively often tough in AML

Promonocytes

NSE- monocytic leukemias

Poor prognosis of Monocytic aberrancies in low-risk MDS

Metze K, Cell Immunol 2016

Tra

nsfo

rm

ed

SS

C

CD34

Cell lineage Phenotype

Frequency

Normal BM

(%)

Neutrophil CyMPO+, CD13hi 31 (12-39)

B-Lymphoid nTdT+, cyCD79a+, CD19+ 23 (<1-45)

Erythroid CD36+, CD64-, CD45dim, CD105+ 15 (5-35)

pDC CD123hi, HLA-DRhi, CD36+ 6 (1-15)

Monocytic CyMPO-, CD64+, HLA-DR+,

CD117dim

5 (3-15)

Basophil CD123hi, HLA-DRdim, CD117dim,

CD45hi, CD203c+

<1 (<1-3)

Megakaryocytic CD61+, CD45dim <1

Eosinophil CyMPO-, CD15/65+, CyPEo+ <1

Mast cell CD117hi, HLA-DRdim, CD45hi <1

Monocytic differentiation in normal BM

Monocytic lineage

Erythroid lin.

CD36

CD

64

Gated CD34+ BM cells

CD64: high-affinity IgG receptor FcgRI

(van der Poel et al, J. Immunol 2011)Matarraz et al, Leukemia 2008

Matarraz S et al. Cytometry B 2015

Monocytic precursors(e.g. monoblasts)

MatureMonocytes

Promonocytes

HLA-DR (PacB)

CD

117

(P

EC

y7

)

CD

64 (P

E)

MatureMonocytes

CD14 (APCH7)

CD

35 (F

IT

C)

CD300e (IREM2) (APC)

MatureMonocytes

CD

14 (A

PC

H7

)

CD

36 (F

IT

C)

CD14 (APCH7)

MatureMonocytes

CD34+

Monocytic differentiation in normal BM

CD34+ CD34+

Promonocytes

CD14 (APCH7)

CD

14

(A

PC

-C

y7)

CD312 (APC)

CD300e+

CD34+

CD

86

(P

E-C

y7)

CD300e+

CD34+

CD

62L

(B

V 6

50

)

CD34+

CD

38

(B

V-6

05

)

CD300e+

Manuscript in preparation

CD14 (APC-Cy7)

Other markers of Monocytic maturation

23/10/2017

2

Monocyte subsets in BM and PB

CD300e (APCCy7)

CD

14

(P

erC

PC

y5

.5

)

CD14 (PerCPCy5.5)

CD

16

(B

V7

85

)

Passlick B, Blood 1989Ziegler-Heitbrock L, Blood 2010Hofer TP, Blood 2015

iMo ncMo SLAN- ncMo SLAN+

SLAN is a modification of PSGL-1: switch in trafficking potential(skin, lymphoid, non-lymphoid tissues…?),

Classical Monocytic cellsiMo

ncMo SLAN-

ncMo SLAN+

iMo and ncMo downregulate fuctional monocytic markers

CD

62

L(B

V6

50

)

CD

86

(P

E-C

y7

)

CD

38

(B

V6

05

)

CD312 (APC)

CD

14

(A

PC

-C

y7

)

CD

36

(F

IT

C)

CD300e (APCCy7)

CD14 (APC-Cy7)

CD300e+

BM monocytic

and CD34+ HPC

Dysplastic and Leukemic

Monocytic Differentiation

Monocytic alterations in MDSAbnormal cell distribution Frequency

Maturation blockades 56%

Abnormal antigen expression patterns

Abnormal granularity (SSC) 30%

Abnormal CD45 23%

Abnormal distribution of immature/mature cells 47%

Abnormal CD33 3%

Abnormal HLA-DR 10%

Abnormal CD11b/HLA-DR pattern 10%-29%

Asynchronous antigen expression

Expression of CD34 12%

Abnormal CD14 20%

Abnormal CD13 39%

Abnormal CD36 31%

Abnormal CD64 23%

Abnormal CD15 33%

Expression of lineage infidelity markers

Lineage infidelity CD2 9%

Lineage infidelity CD5 2%

Lineage infidelity CD7 3%

Lineage infidelity CD19 2%

Overexpression of CD56 15%

Stetler-Stevenson, Blood 2001

Ogata, Blood 2002

Wells, Blood 2003

Malcovati, Leukemia 2005

Benesch, Hematology 2007

Matarraz, Leukemia 2008

Stachursky, Leuk Res 2008

Van de Loosdrecht, Blood 2008

Subirá, Transl Res 2008

Kern, Cancer 2010

Matarraz, Cytometry 2010

Kern, Leuk Lymph 2011

Westers, Leukemia 2012

Matarraz, Cytometry B 2015

Harrington, Am J Clin Pathol 2016

Normal BM

CD

13 (P

E)

Maturation blockades and asynchronisms

MDS-MLD

CD11b (APC)

MDS-EB2

CD

35 (FIT

C)

MatureMonocytes

Normal BM

MDS Maturation blockades and abnormal expression

CD14 (APCH7)

CD

35

(F

IT

C)

MDS-MLD MDS-EB2

23/10/2017

3

CD

35 (FIT

C)

MatureMonocytes

Normal BM

CD14 (APCH7)

CD

35

(F

IT

C)

Monocytic AML Monoblastic AML

AMML blockade, asynchrony and abnormal expression Aberrant CD300e vs. CD14 pattern

Normal BM

CD300e (APC)

CD

14 (A

PC

H7)

5%

MatureMonocytes

MatureMonocytes

35-55%

MDS

AML

(pattern inversion)

5%+

CD

64

(P

E)

CD

14

(A

PC

H7)

60%

CD300e: identification of mature monocytes

15%+

40%+

45%-

55%+

MDS 2

CD300e (APC)

CD14 (APCH7)

18%

30%

42%

48%+

MDS 1 MDS 3

Dysplastic and Leukemic

Monocytic Differentiation

Less frequent Markers

CD

62

L(B

V 6

50)

CD

38

(B

V-6

05

)

CD300e+ CD300e+

CD34+

CD34+

CD

36

(F

IT

C)

CD

86

(P

E-C

y7

)

CD14 (APC-Cy7)

Monocytic differentiation in CMML

CD300e (APCCy7)

Normal level Normal level

blockade

CD

14

(A

PC

-C

y7

)

CD312 (APC)

CD300e (APCCy7)

CMML AML

CD300e and CD312 in CMML

23/10/2017

4

CD300e (APCCy7) CD14 (APC-Cy7)

CD

62

L(B

V 6

50)

CD300e+

CD34+

CD34+C

D3

8 (B

V-6

05

)

CD

86

(P

E-C

y7

)

CD

36

(F

IT

C)

Monocytic differentiation in Monocytic leukemia

CD

14

(A

PC

-C

y7

)

CD312 (APC)

CD300e (APC)

Monocytic differentiation in Monocytic leukemia

CD300e (APCCy7)

CD

62

L(B

V 6

50)

CD300e+

CD34+

CD34+

CD

38

(B

V-6

05

)

Monocytic differentiation in Monoblastic Leukemia

CD

86

(P

E-C

y7

)

CD14 (APC-Cy7)

CD

36

(F

IT

C)

CD64++

CD

14

(A

PC

-C

y7

)

CD312 (APC)

CD300e (APC)

Monocytic differentiation in Monoblastic Leukemia

CD14 (APC-Cy7) C

D6

4 (F

IT

C-C

y7

)

CD

62

L(B

V 6

50)

CD

38

(B

V-6

05

)

CD300e+

CD34+

CD34+

CD14 (APC-Cy7)

CD

86

(P

E-C

y7

)

CD

36

(F

IT

C)

Monocytic differentiation in Monocytic/DC leukemia

CD300e (APCCy7)

Next-generation flow cytometry for

evaluation of monocytic maturation

23/10/2017

5

Monocytic alterations in MDSAbnormal cell distribution Frequency

Maturation blockades 56%

Abnormal antigen expression patterns

Abnormal granularity (SSC) 30%

Abnormal CD45 23%

Abnormal distribution of immature/mature cells 47%

Abnormal CD33 3%

Abnormal HLA-DR 10%

Abnormal CD11b/HLA-DR pattern 10%-29%

Asynchronous antigen expression

Expression of CD34 12%

Abnormal CD14 20%

Abnormal CD13 39%

Abnormal CD36 31%

Abnormal CD64 23%

Abnormal CD15 33%

Expression of lineage infidelity markers

Lineage infidelity CD2 9%

Lineage infidelity CD5 2%

Lineage infidelity CD7 3%

Lineage infidelity CD19 2%

Overexpression of CD56 15%

Stetler-Stevenson, Blood 2001

Ogata, Blood 2002

Wells, Blood 2003

Malcovati, Leukemia 2005

Benesch, Hematology 2007

Matarraz, Leukemia 2008

Stachursky, Leuk Res 2008

Van de Loosdrecht, Blood 2008

Subirá, Transl Res 2008

Kern, Cancer 2010

Matarraz, Cytometry 2010

Kern, Leuk Lymph 2011

Westers, Leukemia 2012

Matarraz, Cytometry B 2015

Harrington, Am J Clin Pathol 2016

Vs. NormalMatarraz S et al. Cytometry B 2015

Routine diagnostic is mainly based on experience

Monocytic precursors(e.g. monoblasts)

MatureMonocytes

Promonocytes

HLA-DR (PacB)

CD

11

7 (P

EC

y7)

CD

64

(P

E)

CD14 (APCH7)

MatureMonocytes

CD14 (APCH7)

CD

35

(F

IT

C)

CD300e (IREM2) (APC)

MatureMonocytes

CD

14

(A

PC

H7

)

CD

36

(F

IT

C)

CD14 (APCH7)

MatureMonocytes

CD34+

CD64 (APC)

CD

62

L (B

V 6

50

)

Promonocytes+

MatureMonocytes

10-dimensional normal monocytic maturation

CD34+CD64lo

CD34-CD64het

CD64hiCD14-

CD64hiCD14het

CD14hiCD300-

iMoncMo SLAN-

ncMo SLAN+

CD14hiCD300+

BM

PB ncMo<5%

Maturation stageFrequency(from all monocytic cells)

Bone marrow

CD34+CD64lo 1% (0.03-2%)

CD34-CD64het 2% (0.5-3%)

CD64hiCD14- 6% (3.4-8%)

CD64hiCD14het 11% (5-14%)

CD14hiCD300- 25% (17-43%)

CD14hiCD300+ 57% (48-65%)

Peripheral blood

iMO 46%

ncMO SLAN- 22%

ncMO SLAN+ 30%

CD35/CD14/CD64/CD300e/CD34/CD45/CD117/HLA-DR/FSC/SSC

13-color Normal BM monocytic maturation

CLASSICAL MONOCYTIC STAGES

Normal BM samplesMonocytic database

NGF for interpretation of cell maturation

Responsible scientists: S. Matarraz, Q. Lecrevisse, J. Verde

CD35/CD14/CD64/CD300e/CD34/CD45/CD117/HLA-DR

NGF: database for monocytic lineage

Normalized maturation

CD36/CD14/CD64/CD300e/CD34/CD45/CD62L/CD16/SLAN/CD117/HLA-DR/CD33

Monocytic cells

23/10/2017

6

Normal BM

CD

13 (P

E)

Maturation blockades and abnormal expressionMDS 1

CD11b (APC)

MDS 2

Normal BM

CD

13 (P

E)

Maturation blockades and abnormal expressionMDS 1

CD11b (APC)

25SD

-10SD

15SD

-20SD

Monocytic cells (stages)

MDS 2

Immaturity

Blockade

asynchronism

CD

35 (FIT

C)

MatureMonocytes

CD14 (APCH7)

Maturation blockades and abnormal expression

MDS 36SD

-8SD

MDS 3

One blockade

Two blockades

CD300e (APC)

MatureMonocytes

CD

14 (A

PC

H7)

35-55%

NGF in AMML monitoring

Cell distribution and

phenotype CMMLMonoblastic

leukemiaMonocytic leukemia

↑ % CD34+ 0% 20% 85%

↓ CyMPO 40% 90% 70%

↓ %CD36+ cells 20% 90% 0%

↓ %CD11b+ cells 70% 100% 28%

↓ %CD15+ cells - 70% 0%

↓ %CD35+ cells 10% 90% 0%

↓ %CD14+ cells 30% 100% 0%

↓ %CD300e+ cells 10% 100% 10%

Mo

no

cy

tic

m

atu

ratio

n

Altered monocytic patterns in CMML vs AMML

Matarraz S, Cytometry B 2015

Aberrant phenotype CMMLMonoblastic

leukemiaMonocytic leukemia

CD34+ 0% 45% 43%

CD16 50% 0% 60%

CD19 0% 55% 43%

CD7 20% 45% 15%

NuTdT 0% 0% 20%

CD56* 70% 70% 80%

NG2 (7.1) 0% 70% 60%

Monocytic lineage infidelity in CMML vs AMML

Matarraz S, Cytometry B 2015

23/10/2017

7

Aim

Phenotype of AMML blast cells at baseline and follow-up

Phenotype of monocytic cells at complete remisson (CR)

Prediction of response to treatment

ICUS (n=45)

Database for Monocytic lineage evaluation

Responsible scientists: S. Matarraz, Q. Lecrevisse, J. Verde

CD35/CD14/CD64/CD300e/CD34/CD45/CD117/HLA-DR

Normal BM (n=74)

AMML samples BM

N=166

Diagnostic CR No CR Relapse Total

MRD+ MRD-

36 8 82 17 23 166

Flow: >2-5 million cells for MRD studies

Treatment: Idarrubicin/Cytarabine 3+7 (PETHEMA guidelines)

Median follow-up: 7.3 months

Phenotypic evaluation of Monocytic lineage

Merged follow-up BM samples in AMML

Diagnostic

MRD 1: relapse

MRD+ 3-4: CR

MRD 2: CR MRD-

15 SD

-15 SD

Pe

rc

en

ta

ge

of eve

nts

Monocytic cells (stages)

Diagnostic

Relapses

Pe

rc

en

ta

ge

of eve

nts

Monocytic cells (stages)

Merged follow-up BM samples in AMML

23/10/2017

8

Phenotype of AMML blasts and Monocytic Cells at diagnostic and

follow-up BM

RC

800

600

400

200

0

48

42

6343

62

134

7641

11773

39

13

AMML

DIAGNOSTICNo RC RELAPSE

Pos induction

MONOCYTIC CELLS

p<0.001

AMML

Blasts

AMML

Blasts

All Cases Cases at CR400

300

200

100

0

48

42

43

76117

73

49

112

p=0.06

EMR- EMR+

Post Induction

MONOCYTIC CELLSPost Induction

MONOCYTIC CELLS

CR No CR MRD- MRD+

N. of S

tandard D

eviations

(S

D)

N. of S

tandard D

eviations

(S

D)

*99.5% CI

Prediction of relapse according to monocytic cell phenotype

CR CR

PRE-RELAPSE

BM

Monocytic cells

p<0.001

RELAPSE

800

600

400

200

0

48

42

6343

62

417349

112

39

13

DIAGNOSTIC

Response to Induction according leukemic cell phenotype

NO CR CR

Response to Induction

Phenotypic alterations at diagnosis

800

600

400

200

0

88

p=0.01

N. o

f S

ta

nd

ard

D

eviations

(S

D)

250

200

150

100

50

0

112

65

NO RESPONSE

Response to Consolidation

COMPLETE REMISSIONDISEASE RELAPSE

Response to consolidation vs monocytic phenotype

Phenotype of Monocytic cells at CR

N. of S

tandard D

eviations

(S

D)

P<0.001

Disease-free survival according to MONOCYTIC phenotype

P=0.002

>50SD

<50 SD

2520151050

100%

80%

60%

40%

20%

0%

AMML at CR AMML at CR and MRD-

Time to relapse (months)

P=0.004100%

80%

60%

40%

20%

0%

2520151050

>50 SD

<50 SD

Conclusions I

• An appropriated combination of markers is required for an accurate analysis (and monitoring) of monocytic differentiation.

• The use of reference flow cytometry databases provides an objective and

accurate evaluation of the degree of deviation from normal of and stage of blockade BM (monocytic) cells in MDS

• Other molecules require investigation for highest sensitivity of detection of alteredmonocytic cells in MDS and other myeloid neoplasms

23/10/2017

9

Conclusions II

A trend to a higher number and degree of phenotypic alterations are detected in blast from relapsing patients

A high degree of impairment of monocytic maturation (dysplasia vs. MRD+?)

in regenerating hematopoiesis may help prediction for disease relapse

The use of NGF tolos provides a more objective monitoring of monocyticalterations in AMML and likely other AML subtypes: we´re on it!

Further studies in larger series are required to validate the potential of NGF

tools for evaluation of prognostic risk of AML patients

Acknoledgements

H.U. Central de Asturias: Enrique Colado.

CIC Salamanca: Alberto Orfao, Pilar Leoz, Quentin Lecrevisse,

Juan Flores, Alejandro Berkovits, Susana Barrena, Antonio López,

Juana Ciudad, Miriam Santos, Miriam Fierro, Rosana Rivas, Laura

Gutierrez, Daniela Damasceno.

H.U. Getafe/Fundación Jiménez Díaz: Ana Yeguas Bermejo.

Erasmus Medical Center, Rotterdam: Vincent van der Velden.

Leiden University Medical Center: Jacques van Dongen.ESCCA 2017