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Autoantibodies for Patient Stratification –<br />

Protein Arrays and beyond<br />

EAPB, Berlin 2011<br />

Dr. <strong>Peter</strong> <strong>Schulz</strong>-<strong>Knappe</strong><br />

Diagnostics<br />

peter.schulz-knappe@protagen.de<br />

Protagen AG<br />

Otto-Hahn-Str. 15<br />

44227 Dortmund<br />

+49 231 9742 6300<br />

www.protagen.de


Biomarker qualities<br />

� Clinical Biomarkers<br />

- Risk Assessment<br />

- Screening<br />

- Prognostic markers<br />

- Disease Stratification<br />

- Therapeutic monitoring<br />

�� Biomarkers for drug discovery and development<br />

- Mechanism (PoM)<br />

- Toxicity<br />

- Efficacy (PoC)<br />

- Patient stratification (responder/non-responder)<br />

- Surrogate for clinical endpoints<br />

Diagnostic companies<br />

Antibody-based?<br />

Pharma companies<br />

Fit-for purpose assays<br />

� In each case, biomarkers may support the move to personalised medicine


Status of Pharmaceutical Industry 2011<br />

Pharmaceutical R&D<br />

• Duration<br />

• Costs<br />

• Risk<br />

• 12-13 year average from first synthesis to market approval<br />

• R&D cost per NME in 2001 estimated at €870 million<br />

• 92% of NME’s tested in phase 1 will fail to reach market<br />

• Only 30% of marketed medicines produce revenues that meet or<br />

exceed average R&D cost<br />

• Many drugs work in a small population of patients with the intended<br />

disease indication<br />

After M. Bottcher, Bayer Healthcare<br />

Is molecular targeting and individual treatment the future?


Status of Pharmaceutical Industry 2011<br />

Pharmaceutical Industry – Quo Vadis? Prof. Axel Kleemann, January 2011<br />

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Status of Pharmaceutical Industry 2011<br />

Pharmaceutical Industry – Quo Vadis? Prof. Axel Kleemann, January 2011<br />

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Status of Pharmaceutical Industry 2011<br />

Pharmaceutical Industry – Quo Vadis? Prof. Axel Kleemann, January 2011<br />

- 6 -


Status of Pharmaceutical Industry 2011<br />

Pharmaceutical Industry – Quo Vadis? Prof. Axel Kleemann, January 2011<br />

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Major Pharma M&A´s<br />

Acquirer Target company Year Deal $ billion<br />

Novartis (Ciba-Geigy) Sandoz 1996 26<br />

Astra Zeneca 1999 35<br />

Pfizer Warner Lambert 2000 90<br />

GSK Smith Kline & French 2000 55<br />

Pfizer Pharmacia 2003 57<br />

Sanofi-Synthelabo Aventis (former Hoechst) 2004 62<br />

Novartis Alcon 2009/10 39/28<br />

Pfizer Wyeth 2009 68<br />

Merck & Co Schering-Plough/Organon 2009 41<br />

Bayer Schering AG 2006 20<br />

Roche Genentech 2009 47<br />

Sanofi-Aventis Genzyme ? 2011 ? ?<br />

...to be continued...<br />

The consequences are job lay-offs, plant (site) closures,<br />

reduction of R&D projects, contract manufacturing deals in Asia,...!<br />

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Status of Pharmaceutical Industry 2011<br />

IMS Health ́s world pharma rankings<br />

2006 Rank 2011 Rank<br />

1 USA USA<br />

2 Japan Japan<br />

3 France China<br />

4 Germany Germany<br />

5 Italy France<br />

6 Canada Italy<br />

7 Spain Brasil<br />

8 UK Canada<br />

9 China Spain<br />

10 Brasil UK<br />

11 Mexico Russia<br />

12 Australia India<br />

13 South Korea South Korea<br />

14 Russia Australia<br />

15 India Mexico<br />

16 Turkey Turkey<br />

Pharmaceutical Industry – Quo Vadis? Prof. Axel Kleemann, January 2011<br />

- 9 -


Status of Pharmaceutical Industry 2011<br />

Pharma layoffs<br />

2009:<br />

• Total layoffs: 61,109<br />

thereof Pfizer (19,500), Merck & Co (16,000), J&J (8,900),<br />

AstraZeneca (7,400), GSK (6,000), Eli Lilly (5,500)<br />

2010:<br />

• Total layoffs: 53,636<br />

thereof AstraZeneca (8,550), Pfizer (8,480), GSK (5,201),<br />

Roche (4,800), Bayer (4,500), Abbott (3,000), Sanofi‐Aventis<br />

(2,500), Takeda (1,400), Novartis (1,400), Genzyme (1,280)<br />

Pharmaceutical Industry – Quo Vadis? Prof. Axel Kleemann, January 2011<br />

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Ok, so the pharmaceutical industry needs to change?


Theranostics and Personalised medicine<br />

The Biomarker Promise<br />

This will happen on the basis of Biomarkers


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UNIarray® Technology Platform<br />

Autoantibodies<br />

• are constitutive and dynamic components<br />

of the immune system<br />

• change specifically with the development<br />

of diseases and treatment<br />

• are used for diagnostic purposes<br />

• are attractive for development of novel<br />

serum based diagnostics<br />

• make identification of indication specific<br />

marker panels feasible with UNIarray<br />

Non-disease Disease<br />

SM Slide: 14


Autoantibodies for Patient Stratification<br />

Disease<br />

Responder Non-Responder Adverse effect<br />

Colour Code: Disease Disease Disease<br />

Responder Non-Responder Adverse effect<br />

-15-


The UNIarray ® -Workflow<br />

Disease and<br />

control samples<br />

Patient<br />

Sample<br />

Control<br />

Sample<br />

Disease Non-disease<br />

Screening of 40,000<br />

human expression clones<br />

Bioinformatical analysis:<br />

• Biostatistical ranking<br />

• Support vector<br />

machine<br />

• Neural nets<br />

• Treeboost algorithm<br />

• Threshold algorithm…<br />

Affinity purification of<br />

putative biomarkers,<br />

printing protein biochips<br />

Indication-specific<br />

biomarker panel<br />

Diagnostic Protein Array<br />

-16-


UNIarray ® Projects – Current Status<br />

Indication-specific<br />

Concept<br />

Multiple Sclerosis<br />

Rheumatoid Arthritis<br />

SLE<br />

Prostate Cancer<br />

Pancreatic Cancer<br />

Breast Cancer<br />

Ovarian Cancer<br />

Diabetes Typ I<br />

Parkinson Disease<br />

Alzheimer Disease<br />

Thyroid Disease<br />

Biomarker<br />

Discovery<br />

UNIarray ®<br />

Antigen<br />

Verification<br />

Antigen<br />

Concept ���� MACROarray ���� ����<br />

Antigen<br />

Verification ����<br />

Serum Screening<br />

Biochip Prototype<br />

Clinical<br />

Validation<br />

-17-


Multiple Sclerosis<br />

Initial manifestation<br />

Clinical partners:<br />

Multiple Sclerosis Study<br />

Secondary chronic<br />

progressive MS<br />

Primary chronic<br />

progressive MS<br />

1. Klinikum Lüdenscheid,Dr. Schimrigk, Germany<br />

2. Polyclinic TU Munich, Prof. Hemmer, Germany<br />

3. KTH Stockholm, Prof. Olsson, Sweden<br />

4. Accelerated Cure Project, Waltham, MA, USA, with<br />

collection sites at major US-centers<br />

-18-


Multiple Sclerosis still difficult to diagnose….<br />

Clinical<br />

Symptoms<br />

Current Testing for MS:<br />

MRI of<br />

brain and<br />

spinal<br />

cord¹<br />

Protagen<br />

MS-IVD<br />

Lumbar<br />

Puncture<br />

(CSF²)<br />

¹ MRI of value to exclude other diseases, EUR 400-500 / MRI<br />

² Cerebrospinal fluid<br />

Accurate , 85-95 % sensitivity in<br />

trained laboratories,<br />

Inconvenient procedure with ,<br />

complications such as<br />

headache, numbness,<br />

infections, bleeding and brain<br />

herniation<br />

Diagnosis<br />

Goal: Replace lumbar puncture<br />

Idea:<br />

Predictive, blood based in vitro diagnostic<br />

• better specificity of 90%,<br />

• higher sensitivity of 80%<br />

• robust<br />

-19-


Clinical Partners: Karolinska Sample Bank<br />

Genome wide association study (GWAS) with the<br />

international MS genetics consortium (IMSGC),<br />

Illumina 1 million SNP chip<br />

-20-


Properties of MS TOP V3.0<br />

l Nanoliter (10 -9 L) amounts of sample printed<br />

l Low total incubation volumes (< 150 µl)<br />

l 2,672 of quantitative data points/MS TOP V3.0<br />

“multiplex immunoassays”<br />

l 100 - 180 µm spot size,<br />

analysis with microscopic resolution,<br />

20 fmole/spot of 50 kDa protein = 1 ng/spot<br />

Subarray<br />

MS TOP V3.0<br />

anti-RGS His<br />

-21-


Disease Mapping of MS TOP Chip Antigen Panel<br />

Term No. of Genes<br />

multiple sclerosis 21<br />

breast cancer 14<br />

Alzheimer's Disease 11<br />

diabetes, type 1 10<br />

colorectal cancer 10<br />

schizophrenia 10<br />

hepatitis C 8<br />

Parkinson's disease 8<br />

lung cancer 8<br />

melanoma 7<br />

tuberculosis 7<br />

longevity 7<br />

HIV 7<br />

stomach cancer 7<br />

bladder cancer 7<br />

systemic lupus erythematosus 7<br />

H. pylori infection 6<br />

hepatitis C, chronic 6<br />

arthritis 6<br />

celiac disease 6<br />

bone density 6<br />

Database:<br />

Genetic Association Database<br />

Disease<br />

(archive of human genetic association<br />

studies of complex diseases and<br />

disorders;<br />

http://geneticassociationdb.nih.gov/)<br />

-22


Disease-specific<br />

Concept<br />

Biomarker<br />

Discovery<br />

MACRO/Microarray Screening:<br />

plasma samples of 20+ patients<br />

plasma samples of 20+ controls<br />

Antigen Verification:<br />

plasma samples of 50-100 patients<br />

plasma samples of 50-100 controls<br />

UNIarray ®<br />

Antigen<br />

Verification<br />

Marker Panel Validation:<br />

Serum Screening<br />

Biochip Prototype<br />

plasma samples of 200+ patients<br />

plasma samples of 200+ controls<br />

Multicentric<br />

Retrospective/prospective<br />

-23-


Development of Protein Biomarker Candidates<br />

?<br />

- 24 -


Need to switch from<br />

High content/low throughput technology<br />

to<br />

Medium/low content/high throughput technology,<br />

Ideally with<br />

good/excellent single data point quality<br />

High installed instrument base<br />

FDA-clearance...<br />

- 25 -


Principle of bead based arrays (Luminex)<br />

- 26 -


Generation of BBAs<br />

Bead<br />

count<br />

384 Proteins<br />

Coupling<br />

Coupling Control<br />

Signal<br />

intensities<br />

NEU<br />

- 27 -


BBAs for Antigen/Autoantibody Interaction Assays<br />

Intra-Plate:<br />

Average CV Values of<br />

reference serum<br />

Inter-Plate:<br />

Average CV Values of<br />

reference serum<br />

Plate Mean CV<br />

# 1 5 %<br />

# 2 2 %<br />

# 3 2 %<br />

# 4 2 %<br />

# 5 3 %<br />

# 6 2 %<br />

Mean 3 %<br />

Plate Mean CV<br />

# 1 -6 10 %<br />

- 28 -


Intraassay Performance<br />

MFI<br />

45000<br />

40000<br />

35000<br />

30000<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

Sera (min. 10 microliter, 1:100)<br />

0<br />

# 91<br />

B07_E2<br />

# 92<br />

E02_E1<br />

# 93<br />

D12_E2<br />

# 94<br />

C03_E1<br />

# 95<br />

G09_E2<br />

# 96<br />

F11_E2<br />

# 97<br />

F09_E2<br />

# 98<br />

F07_E2<br />

# 99<br />

B11_E2<br />

# 100<br />

B08_E2<br />

MS-00030_10_1<br />

MS-00030_10_2<br />

MS-00030_10_3<br />

MS-00030_10_4<br />

MS-00030_g_10_1<br />

MS-00030_15_1<br />

MS-00030_15_2<br />

MS-00030_15_3<br />

MS-00030_15_4<br />

MS-00030_20_1<br />

MS-00030_20_2<br />

MS-00030_20_3<br />

MS-00030_20_4<br />

MS-00030_25_1<br />

MS-00030_25_2<br />

MS-00030_25_3<br />

MS-00030_25_4<br />

MS-00030_30_1<br />

MS-00030_30_2<br />

MS-00030_30_3<br />

MS-00030_30_4<br />

MS-00030_40_1<br />

MS-00030_40_2<br />

MS-00030_40_3<br />

MS-00030_40_4<br />

MS-00030_50_1<br />

MS-00030_50_2<br />

MS-00030_50_3<br />

MS-00030_50_4<br />

MS-00030_250_1<br />

MS-00030_250_2<br />

MS-00030_250_3<br />

MS-00030_250_4<br />

- 29 -


20-plex Test with 20 Samples<br />

Each Sample was measured in Quadruplicates. Table displays CV<br />

• Mean CV of antigens is 6%<br />

• Mean CV of Samples is 6%<br />

• FDA recommends CV < 15%<br />

- 30 -


UNIarray ® -Workflow<br />

Screening Cohort:<br />

Disease/Control Samples<br />

Study Cohort:<br />

Disease/Control Samples<br />

• Screening of antigen/autoantibody interactions<br />

Planar Array<br />

Content: 3000 Proteins<br />

• Validation of Biomarker Panels<br />

Bead Based Array<br />

Content: < 500 Proteins<br />

Data Analysis: Selection<br />

of Identified Antigens<br />

Biostatistical Analysis<br />

Diagnostic Protein Panel<br />

-31-


Development of Protein Biomarkers<br />

- 32 -


Autoantibodies as Companion Diagnostics<br />

Protagen sees a strong rationale to utilise autoantibodies as companion<br />

diagnostics in autoimmune disease and oncology.<br />

Partnership with<br />

• Bayer (Endometriosis)<br />

• BiogenIdec (Multiple Sclerosis)<br />

• Suppremol AG (phase II trial for their novel Lupus Erythematodes<br />

development candidate)


Autoantibodies as Companion Diagnostics<br />

• Benlysta (Human Genome Sciences/Glaxo) was introduced in 4/2011<br />

as the first novel Lupus Erythematodes treatment in 50 years.<br />

• During clinical development, Benlysta failed to reach clinical endpoints<br />

in phase II trials<br />

• Patient stratification against certain Autoantibodies identified the<br />

seropositive patients as responders<br />

• Phase III trials mandating seropositive patients were successful<br />

• Benlysta is expected to reach 1 bn $ sales within 4 years after market<br />

introduction


Explore Terra Incognita


Contact<br />

Protagen AG<br />

Otto-Hahn-Str. 15<br />

44227 Dortmund<br />

Germany<br />

T + 49 231 9742 6300<br />

F + 49 231 9742 6301<br />

info@protagen.de<br />

www.protagen.de<br />

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