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Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research Dept. of Infectious Diseases and Rheumatology Copenhagen University Hospital Rigshospitalet

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Page 1: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Pre-existing antibodies to biologics: Predictive for treatment outcome?

Claus H. NielsenProfessor, Ph.D., M.D., M.Sc.  

Institute for Inflammation ResearchDept. of Infectious Diseases and RheumatologyCopenhagen University Hospital Rigshospitalet

Page 2: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Appearance of serum sickness-like reactions during treatment with rituximab

• In a study on Sjögrens disease HACAs were formed in 4 of 8 patients, 3 of these developed SSLR (Pijpe J, Arthritis Rheum 2005)

• In children with ITP, RTX caused SSLRs in 5 out of 60 (Bennet et al. Blood 2006; Wang et al., J Pediatr 2005).

• In a study on Graves’ disease 3 of 10 patients developed SSLR (el Fassi et al.,J Endocrin Invest, 2011)

Page 3: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Arthralgia, skin eruptions, fever, lymphadenopathy

Serum sickness like reactions (SSLR)

Page 4: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Anti-IgG/IgA/IgM

Demonstration of circulating complement-opsonized immune complexes

IgM

-25

0

25

50

75

100

125

A

P=0.01

P= 0.01

#5

#3 #10M

FI

IgG

0

100

200

300

B

P= 0.008

P= 0.01

#5

#3#10

MF

I

C3

+ RTX

+ RTX

- RTX

0

100

200

C

P= 0.003

P= 0.04

P=0.004

#5

#3 #10

M

FI

An anti-C3-capture ELISA developed with anti-IgG/IgA/IgM confirmed

El Fassi et al. J Endocrinol Invest 2011; 34: e163-e167

Page 5: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Is there a pre-existing immune response to rituximab?

How can you develop antibody responseswhen no B cells are present?

Ongoing production of pre-existing antibodies by plasma cells?

Basic conundrum

Page 6: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Study on endometrial protein PP14: 81% of male sera were false-positive

Page 7: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Analyte

Coating Ab

Detecting Ab

False-positive reactions in two-site immunoassays

Page 8: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Coating Ab

Detecting Ab

False-positive reactions in two-site immunoassays

Cross-binding anti-mouse Ig Ab

Page 9: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Prevalence of antibodies causing false-positive reactions

Kricka et al. Clin Chem 1999; 45: 942-56

Page 10: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

HAAAs: Human anti-animal antibodies

HAMAs: Human anti-mouse antibodies

HACAs: Human anti-chimeric antibodies

HAHAs: Human anti-human antibodies

Heterophilic antibodies

What are they?

Page 11: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

HAAAs versus Heterophilic Antibodies

Page 12: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Heterophilic antibodiesImmunoglobulin Group I

Anti-Fab(85% of positive

samples)

Group IIAnti-Fc

(15% of positive samples)

Negative samples

Mouse +++ +++ -

Rat +++ - -

Goat +++ - -

Horse +++ +++ -

Rabbit - +++ -

Cow +++ +++ -

BSA (neg. Control) - - -

Hennig et al.

Page 13: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Anaphylactic reactions to cetuximabcaused by pre-existing IgE antibodies to the α-gal epitope

All humans have IgG antibodies specific for the oligosaccharide galactose-α-1,3-galactose, which is closely related to substances in the ABO blood group

Produced in mouse hybridoma cells

Chung et al., N Engl J Med 2008; 358;1109-17

Page 14: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Our assay

Coating: F(Ab’)2 of IFX, RTX or murine IgG

Proband serum/plasma

Anti-human γ-chainbiotin

HRP-straptavidin

Page 15: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

IgG antibodies against mouse Fab, anti-IFX Fab and anti–RTX Fab are common in human plasma

T-helpercells

Page 16: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Anti-mouse Fab, anti-IFX Fab and anti–RTX Fab correlate

r2=0.90, p < 0.0001r2=0.90, p < 0.0001 r2=0.90, p < 0.0001

Page 17: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Mouse IgGcolumn

Anti-IF

X F(a

b')20

200

400

600

800

1000

mU

/L

IFX F(ab')2

Infliximab column

Anti-IF

X F(a

b')20

200

400

600

800

1000

mU

/L

IFX F(ab')2

Cross-reactivity between anti-IFX and anti-mIgG

Anti-m

ouse Ig

G

0

200

400

600

800

1000

mU

/L

Mouse IgG F(ab')2

Anti-m

ouse Ig

G

0

200

400

600

800

1000

mU

/L

Mouse IgG F(ab')2

Page 18: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research
Page 19: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

29 patients with Crohn’s disease treated with infliximab

21 patients with ulcerative colitis treated with infliximab

Measurement of pre-existing anti-infliximab-Fab Absand clinical responses

Clinical study

Observational, retrospective, single center study

Steenholdt et al. Aliment Pharmacol Ther 2013; 37: 1172-83

Page 20: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Pre-existing anti-IFX Fab IgG: Prevalence in IBD patients naïve to ‘biologics’

Steenholdt et al. Aliment Pharmacol Ther 2013; 37: 1172-83

Page 21: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

8

Pre-existing anti-IFX Fab IgG: Association with 1 year remission on IFX

Steenholdt et al. Aliment Pharmacol Ther 2013; 37: 1172-83

Page 22: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

9

Pre-existing anti-IFX Fab IgG:Levels associated with 1 year remission in CD

Anti-IFX Fab Ab cut-off

mU/l

Sensitivity

% [95%CI]

Specificity

% [95%CI]

Identification of patients in remission <439 100 [63–100] 67 [43–85]

Identification of patients not in remission ≥61 100 [84–100] 25% [3–65]

Optimal differentiation between patients in

remission or not (sensitivity=specificity)

233 75 [35–97] 76 [53–92]

Steenholdt et al. Aliment Pharmacol Ther 2013; 37: 1172-83

Page 23: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Primary vs. secondary non-responders

Other modalitiesOther TNF-inhibitor

Primary non-responder

TNF-α inhibitor

Primary responder

Secondary non-responder

Continue TNF-α inhibitor

1/3

1/3

1/3

Probably patients without ”TNF-driven disease”

Ususally loss of response due to ADAsPre-existing antibodies indicate priming

Page 24: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

10

Efficacy by anti-IFX Fab Abs

Crohn's disease

Primary non-response Loss of response Remisson

10

100

1000

10000p=0.397

p=0.05

p<0.01

n=8 n=7 n=8

A

308308

692

91

Pre

-exi

stin

g an

ti-IF

X F

ab A

b (m

U/l)

Steenholdt et al. Aliment Pharmacol Ther 2013; 37: 1172-83

Page 25: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Antigen receptor (BCR)

B cell

Heterophilic BCR

Mouse IgG

Pre-existing T-cell responses may support development of drug-neutralizing antibodies

Th cell

T-helper cell with specificity for xenogenic peptide

TCRMHC II

Page 26: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Pre-existing T-cell responses may support development of drug-neutralizing antibodies

BCR recognizingidiotype of drug

Drug

B cell Th cell

T-helper cell with specificity for xenogenic peptide

TCRMHC II

Page 27: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

10

All patients

Safety by anti-IFX Fab Abs

Steenholdt et al. Aliment Pharmacol Ther 2013; 37: 1172-83

Page 28: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

”Positive samples”

Page 29: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Meta-analysis by Xu & Rup

31 studies: 1331 patients & 499 controls

Page 30: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

What are the antigenic determinants?

Glycosylation

Xenogenic part

F(ab’)2

Page 31: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Origin of pre-existing antibodies?

Page 32: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Heterophilic antibodiesImmunoglobulin Group I

Anti-Fab(85% of positive

samples)

Group IIAnti-Fc

(15% of positive samples)

Negative samples

Mouse +++ +++ -

Rat +++ - -

Goat +++ - -

Horse +++ +++ -

Rabbit - +++ -

Cow +++ +++ -

BSA (neg. Control) - - -

Hennig et al.

Page 33: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Bovine IgGcolumn

1 10 1000.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

0.45

OD

490

nm

Dilution 1:x

Eluate

Cross-reactivity between cow IgG, mouse Fab and infliximab

1 10 1000.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

0.45

OD

490

nm

Dilution 1:x

Eluate

Anti-IFX Fab

Anti-mouse IgG Fab

Page 34: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Origin: Possibly vaccines

Diphte

ria to

xoid

I (u

sed u

ntil 1

990)

Tetan

us to

xoid

I (u

sed u

ntil 1

990)

Ovalb

umin

)(neg

ativ

e co

ntrol)

Bovine

IgG (p

ositiv

e co

ntrol)

Havrix

(Hap

atiti

s A)

Diphte

ria to

xoid

II (u

sed a

fter1

990)

Pneum

ococc

al p

olysa

cchar

ide

vacc

ine

Haem

ophilus

influ

enza

e b

Human

pap

illom

a vi

rus

Tetan

us to

xoid

II (u

sed a

fter1

990)

Page 35: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Conclusions regarding pre-existing antibodies

• exist against chimeric antibodies (IFX, RTX, CTX)

• are presumably ”heterophilic antibodies”

• apparently predict outcome of infliximab therapy in Crohn’s disease

• may cause IgG- or IgE-mediated infusion reactions

• may be induced by vaccination

Page 36: Pre-existing antibodies to biologics: Predictive for treatment outcome? Claus H. Nielsen Professor, Ph.D., M.D., M.Sc. Institute for Inflammation Research

Everybody at Institute for Inflammation Research

Thanks to:

Yaseelan Palarasah, Christina Aniol-Nielsen, Casper Steenholdt, Børge Teisner