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Minimal - PPT Presentation

residual disease in multiple myeloma by next generation sequencing Dr Ramon GarciaSanz 19 th March 2015 MRD The Concept 10 12 10 10 10 8 10 6 10 4 10 2 10 0 Relapse ID: 381071

gene chain immunoglobulin rearrangement chain gene rearrangement immunoglobulin mrd heavy pcr gggccggttcaccatctccagagacaattccaagaacacgctgtatctgcaaatgaacagcctgagagccgaggacacggccgtatattactgtgcgaaagaggggccaaggaaccctggtcaccgtctcctcagighv3 igh primer madrid consensus nez patients primers nico aso sequencing

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Presentation Transcript

Slide1

Minimal residual disease in multiple myeloma by next generation sequencing

Dr

Ramon Garcia-Sanz

19

th

March

2015Slide2

MRD: The Concept

10

12

10

10

10

8

10

6

10

4

10

2

10

0

Relapse

CR

MRD

Cure

Maintenance

Induction

TX 2TX ConsolidationSlide3
Slide4

Protein analysis

Serum Electrophoresis

(Palmer

1987

,

Bladé

1994)

Immunofixation

(Gay

. 2011; Martínez 2011)

Isoelectrofocusing (

Sádaba 2004)

Serum Free light chain assessment (Rajkumar

, 2011)

Immunophenotyping

Flow cytometry

(San Miguel

2002; Paiva 2008, 2011, 2012, ; Rawstron 2002, 2013)

Immunohistochemistry (

Durie Leukemia. 2006; 20:1467)

PCR amplification of V(

D

)J clonal rearrangements

CLONAL-SIZE BASED METHODs (PAGE,

GeneScanning): López

-Pérez 2002; Martínez-Sánchez

2008; Martínez-López 2013)

ALLELIC SPECIFIC OLIGONUCLEOTIDE PCR (ASO-PCR)Qualitative

(Corradini 2000, Martinelli 2001, Ladetto 2010, Terragna

2010)Quantitative: ASO-RQ-PCR (Sarasquete

2006, Ladetto 2010, Terragna 2010,

Puig 2013)Identification of V(D)J clonal rearrangements by high throughput sequencing

METHODS FOR MRD STUDIES IN MMSlide5

Antigenic

B-

cell

receptor (

Immunoglobulin

)

Membrane

B-

cell

V

H

V

L

C

H1

C

H2

C

H3

C

L

V

H

C

H1

C

H2

C

H3

V

L

C

L

IgH

IgL

h

h

IgH

Heterodímer

Asociated

to

Ig

(CD79)

IgL

InmunoglobulinsSlide6

Light

chain

gene of immunoglobulins

(

IgL

-kappa)

V

k

J

k

C

k

Light

chain

gene of immunoglobulins (

IgL

-lambda

V

l

J

l1

C

l1

J

l2

C

l2

J

l3

C

l3

J

l4

C

l4

Heavy

chain

gene of

immunoglobulin

(IgH)

B-

cell

Receptor genes

B

V

H

D

H

J

H

C

g3

C

d

C

m

C

g1

C

a1

C

g2

C

g4

C

e

C

a2

y

e

Immunoglobulin

heavy

chain

gene

rearrangementSlide7

V

H

D

H

J

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide8

V

H

D

H

J

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide9

V

H

D

H

J

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide10

V

H

D

H

J

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide11

V

H

D

H

J

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide12

V

H

D

H

J

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide13

V

H

D

H

J

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide14

V

H

D

H

J

H

12

23

Immunoglobulin

heavy

chain

gene

rearrangementSlide15

V

H

DJ

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide16

V

H

DJ

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide17

V

H

DJ

H

Immunoglobulin

heavy

chain

gene

rearrangementSlide18

V

H

DJ

H

Joining

region

(

coding

extremes)

Excision

circle

(

signaling

extremes)

Immunoglobulin

heavy

chain

gene

rearrangementSlide19

V

H

DJ

H

VDJ

H

Joining

region

Immunoglobulin

heavy

chain

gene

rearrangementSlide20

JH primer

(consensus primer)

VH-FR3

VH-FR2

VH-FR1

CDR1

CDR3

CDR2

V

H

VDJ

H

AEEFGRRSAISKWYTA

YFGH

YWYYDLV

YYUWNFNN

RVTMLE

SSTTVRWWKLEM

TTERATY

DEFTVIIP

IRACDDTMMSRRTU

ETC…

Immunoglobulin

heavy

chain

gene

rearrangementSlide21

PCR analysis of

IGH

rearrangements

IGH

tube A:

ube B:

ube C:

6 V -FR1 primers + J consensus

7

7

H

V -FR2 primers + J consensus

V -FR3 primers + J consensus

H

H

IGH

IGH

t

t

D

H

J

H

JH primer

(consensus primer)

VH-FR3 primers

VH-FR2 primers

VH-FR1 primers

V

H

V family primers

H

D

H

J

H

D family primers

H

IGH

tube D:

6

D primers + J consensus

D7 primer + J consensus

H

H

IGH

tube E:

D 3

H

D 1

H

D 2

H

D 5

H

D 4

H

D 6

H

D 7

H

JH primer

(consensus primer)

Biomed-2, Van Dongen et al, 2003

HSlide22

Cycles

Copies

0

2

4

6

8

10

14

18

20

24

28

34

40

44

50

10

-3

10

-2

10

-1

10

0

10

1

D

Rn

10

-1

10

-2

10

-3

10

-4

10

-5

CMN

(5-10

Healthy Donors)

UmbralSlide23

N Puig et al,

Leukemia

2013

MRD

by

RQ-

PCR

MRD

by

Flow

cytometry

10

-1

10

-2

10-3

10

-4

10

-5

10

-1

10

-2

10

-3

10

-4

10

-5

R = 0.881

C

orrelation of tumor cells detected by

RQ-PCR and FCM (n=103)Slide24

MRD evaluation by PCR in Multiple Myeloma patients: prognostic

value

N Puig et al,

Leukemia

2013

Progression free survival in patients in VGPR (n=103; 10

-

5

,

Applicability 43

%)

ASO RQ-PCR

rearranged of IgH genes

CMF

84

72

60

48

36

24

12

0

EMR

neg

n=56

MRD pos

n=47

p=0.003

Months

from

starting

therapy

84

72

60

48

36

24

12

0

1,0

0,8

0,6

0,4

0,2

0,0

ASO RQ-PCR

% free of

progression

EMR

neg

n=48

MRDpos

n=55

p=0.001Slide25

Years since diagnosis

10

9

8

7

6

5

4

3

2

1

0

Percentage Alive

1,0

0,8

0,6

0,4

0,2

0,0

CR + MRD <10

-4

n=43

CR + MRD >10

-4

n=19

P

= 0.008

MRD evaluation by PCR in Multiple Myeloma patients: prognostic

value

Overal

Survival

patients in CR

(IFX-, n=63)

ASO RQ-PCR

rearranged of IgH

genes Slide26

Problems ASO-RQ-PCR

Applicability: 50%

Sensitivity: 10

-5 → (10

-4)High specialization

requirementQuality controlLabor-

intensiveCostSlide27

Multiple generations

… for sequencing

1st generation

-

Sanger

sequencing

2nd generation (high-throughput)

c

apture or

amplifcation

step included e.g. 454 (Roche), Hi-/Thru-/MiSeq

(Illumina), IonTorrent PGM (Life)

3rd generation (high-throughput) single

molecule/cell based e.g. Nanopore,

Helicos, Pacific Bio platforms

Slide

kindly

provided

by

A.W. Langerak,

Erasmus MSlide28

Different platforms for NGS - 2nd generation

454 GS Flex, Junior (Roche)

Ion Torrent

, proton

(Life)

HiSeq

,

MiSeq

(

Illumina

)Slide29

High

throughput

sequencing

:

Is

it

applicable to MRD?

Martínez-López et al,

Blood 2014Slide30

V-J Sequence Frequencies. The

LymphoTrack

Bioinformatics Software provides a stacked bar graph depicting the relative frequencies for

the 200

most common V - J rearrangements sequenced and identified in the sample.

IGHV1-18*01- - - - - IGHJ4-01Slide31

IGHV1

-12*01

ATTTCAGGGATTGTAGAATGAATCACATTAACAAATCTGACACAGAACTTCCTCTGAATCAATCTTTGTAAACATCAATTTCCGAATCAATGTTGTAAATAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV1

-14*01 GGCAGAGTCACCATGACCAGGGACACGTCCACGAGCACAGCCTACATGGAGCTGAGCAGTCAGAGATCTGAGGACATAGATGTGTACTACTGTGCGAGACAGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG

IGHV1-18*02 ACTATGCACAGAAGCTCCAGGGCAGAGTCACCATGACCACAGACACATCCACGAGCACAGCCTACATGGAGCTGAGGAGCCTAAGATCTGACGACACGGCCGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG

IGHV1-02*02 GGCAGGGTCACCATGACCAGGGACACGTCCATCAGCACAGCCTACATGGAGCTGAGCAGGCTGAGATCTGACGACACGGCCGTGTATTACTGTGCGAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV1-03*01 GGGCAGAGTCACCATTACCAGGGACACATCCGCGAGCACAGCCTACATGGAGCTGAGCAGCCTGAGATCTGAAGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAG

IGHV1-45*02 CAGGACAGAGTCACCATTACCAGGGACAGGTCTATGAGCACAGCCTACATGGAGCTGAGCAGCCTGAGATCTGAGGACACAGCCATGTATTACTGTGCAAGATGGGCCAAGGGACAATGGTCACCGTCTCTTCAG

IGHV1-67*01 GGCAGAGTCACCATGACCAGGGACACATCCACGAGCACAGCCTACATGGAGCTGAGCAGCCTGAGATCTGAAGACACGGCCATGTATTACTGTGGGAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV1-69*01 GGGCAGAGTCACGATTACCGCGGACGAATCCACGAGCACAGCCTACATGGAGCTGAGCAGCCTGAGATCTGAGGACACGGCCGTGTATTACTGTGCGAGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAG

IGHV1-69*09 CCTGCAAGGCTTCTGGAGGCACCTTCAGCAGCTATGCTATCAGCTGGGTGCGACAGGCCCCTGGACAAGGGCTTGAGTGGATGGGAAGGATCATCCCTATCCTGGGCCAAGGGACAATGGTCACCGTCTCTTCAG

IGHV2-05*01 GCAGGCTCACCATCACCAAGGACACCTCCAAAAACCAGGTGGTCCTTACAATGACCAACATGGACCCTGTGGACACAGCCACATATTACTGTGCACACAGACGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV2-70*03 ATCTCTGAAGACCAGGCTCACCATCTCCAAGGACACCTCCAAAAACCAGGTGGTCCTTACAATGACCAACATGGACCCTGTGGACACGGCCGTGTATTACTGGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAG

IGHV3-11*01 AGGGCCGATTCACCATCTCCAGGGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTGTATTACTGTGCGAGAGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAG

IGHV3-13*01 GGGCCGATTCACCATCTCCAGAGAAAATGCCAAGAACTCCTTGTATCTTCAAATGAACAGCCTGAGAGCCGGGGACACGGCTGTGTATTACTGTGCAAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAGIGHV3

-15*01 AGGCAGATTCACCATCTCAAGAGATGATTCAAAAAACACGCTGTATCTGCAAATGAACAGCCTGAAAACCGAGGACACAGCCGTGTATTACTGTACCACAGAGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGIGHV3-19*

01 GGGCCGATTCATCATCTCCAGAGACAATTCCAGGAACTTCCTGTATCAGCAAATGAACAGCCTGAGGCCCGAGGACATGGCTGTGTATTACTGTGTGAGAAAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAGIGHV3-21*

01 GGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAGIGHV3-23*01

GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3-25*01 GGACCGATTCAATACCTCCAGAGATAACGCCAAGAACACACTTCATCTGCAAATGAACAGCCTGAAAACCGAGGACACGGCCCTCTATTAGTGTACCAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV3-30*01 GGGCCGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCTGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAG

IGHV3-30*

13 GGGCCGATTCACCATCTCCAGAGACAATTCCAAGAACAGGCTGTATCTGCAAATGAACAGCCTGAGAGCTGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAGIGHV3-32*

01 GGGCAGATTCTCCATCTCCAAAGACAATGCTAAGAACTCTCTGTATCTGCAAATGAACACTCAGAGAGCTGAGGACGTGGCCGTGTATGGCTATACATAAGGTCGGCCAGGGAACCCTGGTCACCGTCTCCTCAGIGHV3-23*01

GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3-33*

01 GGGCCGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAGIGHV3-36*02 GAAGGGTCGATTCACCCTCTCCAGAGATGATGCCAAGAAATCACTGTATCTGCAAATGAACAGCGTCAGAGCCGAGGATAGGTCTGTGTATTACTGTGGTGGGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-37*02 AGACACTGAAGGGTAGATTCACCATCTCTAGAGACAATGGCAAGAACATGCTGTACTTGCAAATGAACAGTCTGAGAGATGAGGACTCGGCTGTGTGAGAGAGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAG

IGHV3-42*01 GAAAGGCAGGTTCACCATCTCAAGAGATGATTCAAAGAACACACTGTATCTGCAAGTGAATACCCTGAAAACCGAGTACACGGCCATCTATTACTGTACTAGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAG

IGHV3-43*01 GCCGATTCACCATCTCCAGAGACAACAGCAAAAACTCCCTGTATCTGCAAATGAACAGTCTGAGAACTGAGGACACCGCCTTGTATTACTGTGCAAAAGATAGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAGIGHV3-47*01 ATGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAAGTCCTTGTATCTTCATATGAACAGCCTGATAGCTGAGGACATGGCTGTGTATTATTGTGCAAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAGIGHV3-23*01 GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-48*01 GGGCCGATTCACCATCTCCAGAGACAATGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAGIGHV3-49*03 AAGGCAGATTCACCATCTCAAGAGATGATTCCAAAAGCATCGCCTATCTGCAAATGAACAGCCTGAAAACCGAGGACACAGCCGTGTATTACTGTACTAGAGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAGIGHV3-50*03 AAGGGCCGATTGACCATCTCCAGAGACAATGCCAAGAACTCCCTCTATCTGCAAGTGAACAGCCTGAGAGCTGAGGACATGACCGTGTATTACTGTGTGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV3-23*01 GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3-53*01 AGGGCCGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTTCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTGTATTACTGTGCGAGAGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAG

IGHV3-54*02 GAGCAGATTCACCATCTCCAAAGAAAATGCCAAGAACTCACTCCGTTTGCAAATGAACAGTCTGAGAGCAGAGGGCACGGCCGTGTATTACTGTATGTGAGGGGGGCAAAGGGACCACGGTCACCGTCTCCTCAGIGHV3-57*01 GGGCACAAATTAACAGTCCCAAGCGACACCTTTTCATGTGCAGTCTACCTTACAATGACCAACCTGAAAGCCAAGGACAAGGCTGTGTATTACTGTGAGGGAGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAG

IGHV3-57*02 TACAAATAAATTAACAGTCCCAAGCGACACCTTTTCATGTGCAGTCTACCTTACAATGACCAACCTGAAAGCCAAGGACAAGGCTGTGTATTACTGTGAGGGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAGIGHV3-23*01 GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3-06*01 GGGCCGATTCACCATTTCCAGAGACAATACCAAAAACTCACTGTATCTGCAAATGAACAGACTGAGGGCAGAGGATGCAGCTGCATATGACTCTGTGAGAGAGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-64*05 GGGCAGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATGTTCAAATGAGCAGTCTGAGAGCTGAGGACACGGCTGTGTATTACTGTGTGAAAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV3-65*02 AGGTTTCACTAAAAACAAAACTAATCGTGGAACAACAGAATACGCCGCGTCTGTGAAAGGCAGATTCACCATCTCAAGCGATGATTCCAAAAGCATCGCCTATGGGCCAAGGGACAATGGTCACCGTCTCTTCAGIGHV3-66*04

AAGGGCAGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTTCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAGIGHV3-71*

01 AGGCAGATTCACAATCTCAAGAGATGATTCCAAAAGCATCACCTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTGTATTACTGTGCGAGAGAGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-73*01 AAAGGCAGGTTCACCATCTCCAGAGATGATTCAAAGAACACGGCGTATCTGCAAATGAACAGCCTGAAAACCGAGGACACGGCCGTGTATTACTGTACTAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV3-23*01 GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3

-74*02 AAGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACACGCTGTATCTGCAAATGAACAGTCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAG

JH primer

(

consensus

primer)

VH-FR3

VH-FR2

IGHV1-18*01- - - - - IGHJ401Slide32

IGHV1

-12*01

ATTTCAGGGATTGTAGAATGAATCACATTAACAAATCTGACACAGAACTTCCTCTGAATCAATCTTTGTAAACATCAATTTCCGAATCAATGTTGTAAATAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV1

-14*01 GGCAGAGTCACCATGACCAGGGACACGTCCACGAGCACAGCCTACATGGAGCTGAGCAGTCAGAGATCTGAGGACATAGATGTGTACTACTGTGCGAGACA

GGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGIGHV1-69*01 ACTATGCACAGAAGCTCCAGGGCAGAGTCACCATGACCACAGACACATCCACGAGCACAGCCTACATGGAGCTGAGGAGCCTAAGATCTGACGACACGGCC

GGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGIGHV1-02*

02 GGCAGGGTCACCATGACCAGGGACACGTCCATCAGCACAGCCTACATGGAGCTGAGCAGGCTGAGATCTGACGACACGGCCGTGTATTACTGTGCGAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAGIGHV1-03*

01 GGGCAGAGTCACCATTACCAGGGACACATCCGCGAGCACAGCCTACATGGAGCTGAGCAGCCTGAGATCTGAAGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAG

IGHV1-45*02 CAGGACAGAGTCACCATTACCAGGGACAGGTCTATGAGCACAGCCTACATGGAGCTGAGCAGCCTGAGATCTGAGGACACAGCCATGTATTACTGTGCAAGATGGGCCAAGGGACAATGGTCACCGTCTCTTCAG

IGHV1-67*01 GGCAGAGTCACCATGACCAGGGACACATCCACGAGCACAGCCTACATGGAGCTGAGCAGCCTGAGATCTGAAGACACGGCCATGTATTACTGTGGGAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV1-69*01 GGGCAGAGTCACGATTACCGCGGACGAATCCACGAGCACAGCCTACATGGAGCTGAGCAGCCTGAGATCTGAGGACACGGCCGTGTATTACTGTGCGAGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAG

IGHV1-69*09 CCTGCAAGGCTTCTGGAGGCACCTTCAGCAGCTATGCTATCAGCTGGGTGCGACAGGCCCCTGGACAAGGGCTTGAGTGGATGGGAAGGATCATCCCTATCCTGGGCCAAGGGACAATGGTCACCGTCTCTTCAG

IGHV2-05*01 GCAGGCTCACCATCACCAAGGACACCTCCAAAAACCAGGTGGTCCTTACAATGACCAACATGGACCCTGTGGACACAGCCACATATTACTGTGCACACAGACGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV2

-70*03 ATCTCTGAAGACCAGGCTCACCATCTCCAAGGACACCTCCAAAAACCAGGTGGTCCTTACAATGACCAACATGGACCCTGTGGACACGGCCGTGTATTACTGGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAGIGHV3

-11*01 AGGGCCGATTCACCATCTCCAGGGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTGTATTACTGTGCGAGAGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAGIGHV3

-13*01 GGGCCGATTCACCATCTCCAGAGAAAATGCCAAGAACTCCTTGTATCTTCAAATGAACAGCCTGAGAGCCGGGGACACGGCTGTGTATTACTGTGCAAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAGIGHV3-15*

01 AGGCAGATTCACCATCTCAAGAGATGATTCAAAAAACACGCTGTATCTGCAAATGAACAGCCTGAAAACCGAGGACACAGCCGTGTATTACTGTACCACAGAGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-19*01 GGGCCGATTCATCATCTCCAGAGACAATTCCAGGAACTTCCTGTATCAGCAAATGAACAGCCTGAGGCCCGAGGACATGGCTGTGTATTACTGTGTGAGAAA

GGGGCAAAGGGACCACGGTCACCGTCTCCTCAGIGHV3-21*

01 GGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAG

IGHV3-18*01 GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3-25*01 GGACCGATTCAATACCTCCAGAGATAACGCCAAGAACACACTTCATCTGCAAATGAACAGCCTGAAAACCGAGGACACGGCCCTCTATTAGTGTACCAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV3-30*

01 GGGCCGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCTGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAGIGHV3

-30*13 GGGCCGATTCACCATCTCCAGAGACAATTCCAAGAACAGGCTGTATCTGCAAATGAACAGCCTGAGAGCTGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAG

IGHV3-32*01 GGGCAGATTCTCCATCTCCAAAGACAATGCTAAGAACTCTCTGTATCTGCAAATGAACACTCAGAGAGCTGAGGACGTGGCCGTGTATGGCTATACATAAGGTCGGCCAGGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-18*01

GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3-33*01 GGGCCGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAGIGHV3-36*02 GAAGGGTCGATTCACCCTCTCCAGAGATGATGCCAAGAAATCACTGTATCTGCAAATGAACAGCGTCAGAGCCGAGGATAGGTCTGTGTATTACTGTGGTGG

GGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGIGHV3-37*02 AGACACTGAAGGGTAGATTCACCATCTCTAGAGACAATGGCAAGAACATGCTGTACTTGCAAATGAACAGTCTGAGAGATGAGGACTCGGCTGTGTGAGAGAGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAGIGHV3-42*01 GAAAGGCAGGTTCACCATCTCAAGAGATGATTCAAAGAACACACTGTATCTGCAAGTGAATACCCTGAAAACCGAGTACACGGCCATCTATTACTGTACTAGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAGIGHV3-43*01 GCCGATTCACCATCTCCAGAGACAACAGCAAAAACTCCCTGTATCTGCAAATGAACAGTCTGAGAACTGAGGACACCGCCTTGTATTACTGTGCAAAAGATA

GGGGCCGTGGCACCCTGGTCACTGTCTCCTCAGIGHV3-47*01 ATGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAAGTCCTTGTATCTTCATATGAACAGCCTGATAGCTGAGGACATGGCTGTGTATTATTGTGCAAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAGIGHV3-18*01

GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3-48*01 GGGCCGATTCACCATCTCCAGAGACAATGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGAGAGGGGCCGTGGCACCCTGGTCACTGTCTCCTCAGIGHV3

-49*03 AAGGCAGATTCACCATCTCAAGAGATGATTCCAAAAGCATCGCCTATCTGCAAATGAACAGCCTGAAAACCGAGGACACAGCCGTGTATTACTGTACTAGAGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAGIGHV3-50*03 AAGGGCCGATTGACCATCTCCAGAGACAATGCCAAGAACTCCCTCTATCTGCAAGTGAACAGCCTGAGAGCTGAGGACATGACCGTGTATTACTGTGTGAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAGIGHV3-18*01 GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-53*01

AGGGCCGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTTCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTGTATTACTGTGCGAGAGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAG

IGHV3-54*02 GAGCAGATTCACCATCTCCAAAGAAAATGCCAAGAACTCACTCCGTTTGCAAATGAACAGTCTGAGAGCAGAGGGCACGGCCGTGTATTACTGTATGTGAGGGGGGCAAAGGGACCACGGTCACCGTCTCCTCAG

IGHV3-57*01 GGGCACAAATTAACAGTCCCAAGCGACACCTTTTCATGTGCAGTCTACCTTACAATGACCAACCTGAAAGCCAAGGACAAGGCTGTGTATTACTGTGAGGGA

GGGGCCGTGGCACCCTGGTCACTGTCTCCTCAGIGHV3-57*

02 TACAAATAAATTAACAGTCCCAAGCGACACCTTTTCATGTGCAGTCTACCTTACAATGACCAACCTGAAAGCCAAGGACAAGGCTGTGTATTACTGTGAGGGAGGGCCAAGGGACAATGGTCACCGTCTCTTCAGIGHV3-23*01

GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAGIGHV3-06*

01 GGGCCGATTCACCATTTCCAGAGACAATACCAAAAACTCACTGTATCTGCAAATGAACAGACTGAGGGCAGAGGATGCAGCTGCATATGACTCTGTGAGAGAGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-64*05 GGGCAGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATGTTCAAATGAGCAGTCTGAGAGCTGAGGACACGGCTGTGTATTACTGTGTGAAAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAG

IGHV3-65*02 AGGTTTCACTAAAAACAAAACTAATCGTGGAACAACAGAATACGCCGCGTCTGTGAAAGGCAGATTCACCATCTCAAGCGATGATTCCAAAAGCATCGCCTATGGGCCAAGGGACAATGGTCACCGTCTCTTCAGIGHV3

-66*04 AAGGGCAGATTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTTCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGAGGGGCAAAGGGACCACGGTCACCGTCTCCTCAG

IGHV3-71*01 AGGCAGATTCACAATCTCAAGAGATGATTCCAAAAGCATCACCTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTGTATTACTGTGCGAGAGA

GGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGIGHV3

-73*01 AAAGGCAGGTTCACCATCTCCAGAGATGATTCAAAGAACACGGCGTATCTGCAAATGAACAGCCTGAAAACCGAGGACACGGCCGTGTATTACTGTACTAGAGGGGCCAGGGCACCCTGGTCACCGTCTCCTCAGIGHV3

-18*01 GGGCCGGTTCACCATCTCCAGAGACAATTCCAAGAACACGCTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCCGTATATTACTGTGCGAAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAG

IGHV3-74*02 AAGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACACGCTGTATCTGCAAATGAACAGTCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCAAGAGGGGCCAAGGAACCCTGGTCACCGTCTCCTCAG

JH primer

(

consensus

primer)

VH-FR3

VH-FR2

IGHV3-18*01- - - - - IGHJ4-01Slide33

Martinez-Lopez

et al

,

Blood 2014

Deep sequencing of rearranged BCR genes (

Lymphosight

™)

N 133

cases in CR or VGPR

(

sensitivity ≥10

-5), GEM00,05,10; Applicability 91%

62/101 (

63%)

samples were positive with both techniques

22/101

(22%) samples were negative with two techniques17/101 (17%)

were discordant:FCM+SEQ-: 5

FCM-SEQ+: 12

HTS vs. FCM

MRD evaluation by HTS in Multiple Myeloma patients: clinical valueSlide34

Martínez-López

et

al,

Blood

2014

Clinical

value

of MRD

evalauted

by

sequencig in MM

patients with MM

Deep

sequencing

by

Ig

rearrangement

(

LymphoSight™)

N 62 cases in sCR

(sensitivity ≥10

-5)

N 110 cases in CR or VGPR (

sensitivity ≥10-5)Applicabiliity 91%

Overall

survival

(all patients)

Time

to

tumor progression (Only CR)

Percentage

alive

Alive

without

progrression

Months

MonthsSlide35

Comparison

of

different

methodologies

ASO PCR

of BCR genes

HTS of BCR genes

Flow Cytometry

Sensitivity

10

-

5

-10

-6

10

-5

-10

-6

1

0

-4

-10

-5

Applicability

Low

High

Very High

Time-consuming

Very High

Very High

High

Specific reagents

Yes

No

No

Cost

300 €

900 €

150 €

Clonal evolution detectable

No

Yes*

No**

Expertise

Very High

Very High

Very High

Availability

Low

Low

High

*No clonal evolution has been shown in MM at the BCR gene rearrangement;

**FCM can detect aberrant PC subsets with an Ag profile different to diagnosisSlide36

Future

Technology

Problem

Solution

FCM

Sensitivity

Specificity

Expertise

requirement

Increase the input cells (107 cells)

Go up to 8 colorsNew softwareASO-PCRSensitivity

ApplicabilityExpertise requirement

Time consuming, costIncrease input DNA (6 mcg, 106 cells)

Discard SC, use DCT methodStandardizationOptimization

HTSSensitivityApplicability

Expertise requirementTime consuming, costAvailability

Increase input DNA (6-60mcg, 106-107

cells)Increase targets (mutations)New softwareOptimization

Competition; Lymphosight™, Lymphotrack™,

Euroclonality/EuroNGS

Clinical validation in Prospective StudiesSlide37

Conclusions

MRD

detection

by

molecular

technology

is applicable

to MM patients rendering

similar results or

even superior to FCM

MRD detection by

NGS is an useful

method for stratifying

patients and can be used to

assess molecular response in MM

With this methodology,

today it

is posible to

go close

to personalized

therapeutic strategies:

MRD (‒): treatment

reductionMRD (+):

treatment increase or

continuous therapySlide38

Myeloma

Team

Ramón García Sanz

Norma

C. Gutiérrez

Enrique M. Ocio

M. Victoria Mateos

Noemí Puig

Marcos GonzálezRamón García-SanzLuis MarínRocío Corral

Molecular Laboratory Team

Carmen ChillónAna BalanzateguiM. Eugenia SarasqueteMiguel Alcoceba

Elena SebastiánCristina JiménezIsabel LópezMaría GarcíaSlide39

Grupo Español de Mieloma (GEM)

Hospitales

Clínico de Barcelona

12 Octubre (Madrid)

Clínico de Salamanca

Clínico de San Carlos (Madrid)Hospital de Badalona

Clínico de AsturiasFr. Peset (Valencia)Universitario de Canarias

Rio Ortega (Valladolid)Cínico de ZaragozaHospital General de Jerez

Ramón y Cajal (Madrid)Morales Meseguer (Murcia)La Fe (Valencia)C.U. de Navarra

Galdakao (Vizcaya)Clínico de ValladolidSant Pau (Barcelona)

Arnau Vilanova (Lérida)Universitario de SantiagoGeneral Universitario de ValenciaUniversitario de Getafe (Madrid)

Insular de las PalmasH. de La Princesa (Madrid)Severo Ochoa (Madrid)Juan XIII (Tarragona)

ToledoGandía (Valencia)Vall D´Hebrón (Barcelona)San Jorge (Huesca)Verge de la Cinta (Tortosa)

Alarcos (Ciudad Real)Mataró (Madrid)Juán Canalejo (Coruña)Ferrol

HospitalesGeneral de Segovia

Cruces (Bilbao) St. Coloma de Gramanet (Barcelona)Gregorio Marañon (Madrid)Carlos Haya (Málaga)

H. Tauli (Gerona)HuescaPalenciaAlcira (Valencia)

H. Del Mar (Barcelona)Mahón (Baleares)Clínico de Málaga

Xeral Cies (Vigo)PlasenciaCáceres

AlgecirasÁvilaJaén

S. Pau i Sta Tecla (Tarragona)General de GuadalajaraSagunto (Valencia)

Son Dureta (Mallorca)CuencaAlicante SUS

M. Valdecilla (Santander)AlbaceteH. Del BierzoFundación Jiménez Díaz (Madrid)

Elda (Alicante)V. Del Rosel (Cartagena)Castellón

Mutua TarrasaConsorcio TarrasaC. Corachán (Barcelona)

Salamanca

Group

:

Puig

,

Vidriales

,

Sarasquete

,

Gutierrez

,

Mateos,

Jinénez

,

Orfão

, González.

(Paiva

,

San Miguel)

Madrid (12O)

Group

:

Lahuerta

, Martínez-López, Montalbán

, MA

Montalban

, Martin,

Fernandez