Plasma Proteomics: Lessons in Biomarkers and...

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Plasma Proteomics: Lessons in Biomarkers and Diagnostics Leigh Anderson, PhD [email protected] [email protected] Exposome Workshop Washington 8 Dec 2011

Transcript of Plasma Proteomics: Lessons in Biomarkers and...

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Plasma Proteomics: Lessons in Biomarkers and Diagnostics

Leigh Anderson, PhD [email protected]

[email protected]

Exposome Workshop

Washington 8 Dec 2011

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QUESTIONS AND LESSONS: CLINICAL DIAGNOSTICS AS A MODEL FOR EXPOSOME INDICATORS TECHNOLOGY OPTIONS FOR MEASURING PROTEIN RESPONSES TO EXPOSURES SCALE OF THE PROBLEM: EXPOSURE SIGNALS VS POPULATION NOISE

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The Clinical Plasma Proteome •   Plasma and serum are the dominant non-invasive

clinical sample types –   standard materials for in vitro diagnostics (IVD)

•   Proteins measured in clinically-available tests in the US –   109 proteins via FDA-cleared or approved tests

•   Clinical test costs range from $9 (albumin) to $122 (Her2) •   90% of those ever approved are still in use

–   96 additional proteins via laboratory-developed tests (not FDA cleared or approved)

–   Total 205 proteins (≅ products of 211genes, excluding Ig’s)

•   Clinically applied proteins thus account for –   About 1% of the baseline human proteome (1 gene :1 protein) –   About 10% of the 2,000+ proteins observed in deep discovery

plasma proteome datasets

The Clinical Plasma Proteome: A Survey of Clinical Assays for Proteins in Plasma and Serum. Anderson, L. Clin Chem, 56:177–185 (2010)

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Research Investments Have Generated Significant Scientific Output

Ptolemy and Rifai, Scandinavian Journal of Clinical & Laboratory Investigation, 2010; 70(Suppl 242): 6–14

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Candidate Cancer Biomarkers Include ~25% of Human Proteins

Biomarker Insights 2008:3 65–71

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“New” Protein Diagnostics Are FDA-Cleared at a Rate of ~1.5/yr: Insufficient to Meet Dx or Rx Development Needs

* 87 tests prior to 1993 at a rate of >5/yr

0

1

2

3

4

1993 1995 1997 1999 2001 2003 2005 2007 2009

Num

ber o

f New

Pro

tein

Ana

lyte

s

Year of FDA Clearance or Approval

Inhibin-A IGFBP-1

sMesothelin

LP-PLA2

MPO PCT

IGF-II

Panc amylase

Tn-T IL-2R

IGFBP-3

Tn-I

BNP

Biotinidase Osteocalcin Cystatin C

HER-2/neu

HE4 Factor XIII

CA15-3/CA27.29

sTfR lipo(a)

Inhibin-A IGFBP-1

sMesothelin

LP-PLA2

MPO PCT

IGF-II

Panc amylase

Tn-T IL-2R

IGFBP-3

Tn-I

BNP

Biotinidase Osteocalcin Cystatin C

HER-2/neu

HE4 Factor XIII

CA15-3/CA27.29

sTfR lipo(a)

Inhibin-A IGFBP-1

sMesothelin

LP-PLA2

MPO PCT

IGF-II

Panc amylase

Tn-T IL-2R

IGFBP-3

Tn-I

BNP

Biotinidase Osteocalcin Cystatin C

HER-2/neu

HE4 Factor XIII

CA15-3/CA27.29

sTfR lipo(a)

*

The Clinical Plasma Proteome: A Survey of Clinical Assays for Proteins in Plasma and Serum. Anderson, L. Clin Chem, 56:177–185 (2010)

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IT MAY BE AS DIFFICULT TO FIND A STRONG BIOMARKER AS IT IS TO FIND AN EFFECTIVE DRUG

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A Major Technology Gulf Exists Between Discovery Proteomics and Routine Diagnostic Platforms:

Virtuoso vs Pushbutton Analysis

?

Discovery Proteomics: LC-MS/MS

Routine Clinical Analyzer:

Immunoassay 50-700 # proteins 1-20 $1,000-$10M $ per analysis $2-100 25-50% CV 3-5% 4-52 wks time required ~15 min 2-50 # samples 100-1,000,000 Mix of auto & manual steps workflow All inside 1 box

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Two Streams of Proteomics Problem Technology

Basic biology: maximum proteome coverage (including PTM’s, splices) to provide unbiased discovery of mechanistic information

•   Critical: Depth and breadth •   Not critical: Cost, throughput, quant

precision

Discovery proteomics Specialized proteomics field, large groups, complex workflows and informatics

Population biology: large sample numbers to detect statistical invariants, including biomarkers and clinical diagnostics

•   Critical: Throughput, quant precision, depth and cost

•   Not critical: Breadth

Directed assays Primarily medical research, widely dispersed, needs simple workflows and data analysis

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Protein Changes Identify and Distinguish Biological Mechanisms

The effects of peroxisome proliferators on protein abundances in mouse liver. Anderson, N.L., Esquer-Blasco, R., Richardson, F., Foxworthy, P. and Eacho, P. Toxicology and Applied Pharmacology, 137, 75-89, 1996.

Six Compounds

200 150 100 90 80 70 60 50

40

30

20 15

4.5 5.0 5.5 6.0 6.5 7.0

Actin

CPS

163

Albumin

HSP-60

MUP

CA-III SMP-30

Calreticulin

SOD

Effects of Peroxisome Proliferators in Mouse Liver Nafenopin WY14,643 LY171,883 LY163,443 DEHP Clofibrate

>10 1.25 1

2

0.25 <10 0.5 0.8 4

P <0.000001 P <0.00001

P <0.001 P <0.0001

HSP-90 NP450R

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A= Control B= LY163,443 C= LY171,883 D= DEHP E= Clofibric acid F= WY14,643 G= Nafenopin

Peroxisome Prolferators: 6 Compounds Compared Over 107 Selected Protein Spots The effects of peroxisome proliferators on protein abundances in mouse liver. Anderson, N.L., Esquer-Blasco, R., Richardson, F., Foxworthy, P. and Eacho, P. Toxicology and Applied Pharmacology, 137, 75-89, 1996.

AAA

AAA

AA

AA

AA

A A

A

B

B

B

BB

B

C

C

C

C

CCD

DD

DD D

E

EE EE

E

FF

FF

F

F GG

GG

GG

Multivariate Protein Markers Resolve Drug Mechanisms Data from Quantitative 2-D Gel Studies in Mouse Liver

With Test Panels Involving > 100 Proteins

Each symbol represents the liver protein pattern for 100+ proteins in the liver of an individual mouse

Peroxisome Proliferator Treatments

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Immunoassay 81%

Enzyme Assay 17%

Functional Assay

2%

Measurement Technology

•   Most proteins (80+%) are measured by sandwich immunoassay •   ~$3B clinical test

market •   Enzyme assays (17%)

are legacy tests, of limited specificity but very low cost

•   Functional assays primarily for coagulation (few immunoassays)

The Clinical Plasma Proteome: A Survey of Clinical Assays for Proteins in Plasma and Serum. Anderson, L. Clin Chem, 56:177–185 (2010)

Immunoassays Predominate for Clinical Protein Measurement

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Technology Alternatives for Specific Assays for Protein Biomarker Studies

•   Immunoassays (typical clinical test implementation) –   Very sensitive –   Expensive: IVD-quality assays cost $2-5 million –   Specificity issues with less well-developed assays –  Multiplexing limits in a single assay volume

•   Hybrid MS-based assays –   Peptide MS for quantitation and identification –   Insensitive to folding, complexation, etc. –   Absolute analyte specificity –  Multiplex 25-200 assays/analysis

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“Inside every bad protein is at least one good peptide” •   Tryptic peptides are effective analytical surrogates for proteins

containing them •   A proteotypic peptide has a sequence that

–   Is unique in human proteome, as deduced from human genome sequence –   May or may not be shared with other species (this can be checked for

sequenced genomes and known recombinant proteins) •   A useful proteotypic peptide is characterized by

–   High yield upon tryptic digestion of sample –   High signal strength in mass spectrometry by some ionization method

(e.g., electrospray or MALDI) –   No common variants or PTM’s, reasonable hydrophobicity & composition

•   Tryptic digestion removes problems of IA –   Eliminates post-acquisition enzymatic changes –   Eliminates epitope-masking interferences –   Permits facile creation of stable isotope labeled internal standards

How to Treat a Protein Like a Small Molecule: Protein Quantitation via Signature Peptides

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Peptide-Level MS Provides High Structural Specificity Multiple Reaction Monitoring (MRM) Quantitation

EQLGEFYEALDCLR++ Mass = (1742.8+H+)/2 = 871.9

FYEALDCLR+ Mass = 1186.6

FYEALDCLR++

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MRM of Proteotypic Tryptic Peptides Provides Highly Specific Assays for Proteins > 1ug/ml in Plasma

Quantitative Mass Spectrometric MRM Assays for Major Plasma Proteins, Leigh Anderson and Christie Hunter, Mol Cell Proteomics, 5.4: 573-588 (2006).

Afamin DADPDTFFAK Complement factor B EELLPAQDIK Albumin LVNEVTEFAK Complement factor H SPDVINGSPISQK α-1-acid glycoprotein 1 NWGLSVYADKPETTK Fibrinogen α GSESGIFTNTK α-1-antichymotrypsin EIGELYLPK Fibrinogen β QGFGNVATNTDGK α-1B-glycoprotein LETPDFQLFK Fibrinogen γ DTVQIHDITGK α-2-antiplasmin LGNQEPGGQTALK Fibronectin DLQFVEVTDVK α-2-macroglobulin LLIYAVLPTGDVIGDSAK Gelsolin, isoform 1 TGAQELLR Angiotensinogen PKDPTFIPAPIQAK Haptoglobin β VGYVSGWGR Antithrombin-III DDLYVSDAFHK Hemopexin NFPSPVDAAFR Apolipoprotein A-I ATEHLSTLSEK Heparin cofactor II TLEAQLTPR Apolipoprotein A-II SPELQAEAK Histidine-rich glycoprotein DSPVLIDFFEDTER Apolipoprotein A-IV SLAPYAQDTQEK Inter-α-trypsin inhibitor HC AAISGENAGLVR Apolipoprotein B-100 FPEVDVLTK Kininogen TVGSDTFYSFK Apolipoprotein C-I TPDVSSALDK L-selectin AEIEYLEK Apolipoprotein C-III DALSSVQESQVAQQAR Plasma retinol-binding protein YWGVASFLQK Apolipoprotein E LGPLVEQGR Plasminogen LFLEPTR β-2-glycoprotein I ATVVYQGER Prothrombin ETAASLLQAGYK Ceruloplasmin EYTDASFTNR Serum amyloid P VGEYSLYIGR Clusterin LFDSDPITVTVPVEVSR Transferrin EDPQTFYYAVAVVK Coagulation factor XIIa HC VVGGLVALR Transthyretin AADDTWEPFASGK Complement C3 TGLQEVEVK Vitamin D-binding protein THLPEVFLSK Complement C4 β ITQVLHFTK Vitronectin FEDGVLDPDYPR Complement C4 γ VGDTLNLNLR Zinc-α-2-glycoprotein EIPAWVPFDPAAQITK Complement C9 AIEDYINEFSVR

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ADDRESSING MRM LIMITATIONS: SENSITIVITY THROUGHPUT (LC-MS/MS CYCLE TIME)

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SISCAPA: Enrich Target Peptides and Decrease Sample Complexity

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10-Plex SISCAPA Capture (10 x 1 µg pAb + 10 µl plasma equiv digest)

Target peptides are enriched (from near baseline) and other plasma peptides (Alb, Hp) are depleted

SISCAPA enriched

Unfractionated plasma digest

P1 P3 P6 H

p (V

GY

VS

GW

GR

)

CH

AP

S d

eter

gent

Alb

umin

(LV

NE

VTE

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P2

P4

P8

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FLQ

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P7

P5

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•   Standard addition curve (Fwd) indicates endogenous level of 5fmol/10ul plasma –   18 ng/ml protein –   2% average within-run

CV •   IS dilution curve (Rev)

indicates LOQ of ~50amol/10µl plasma –   200 pg/ml protein –   8% average within-run

CV

Standard Curves Characterizing SISCAPA Assay for Soluble Mesothelin Peptide LLGPHVEGLK in Plasma

0.0001

0.001

0.01

0.1

1

10

100

0.01 0.1 1 10 100 1000

Vary

ing/

Con

stan

t Pea

k A

rea

Rat

io

fmol Varying Peptide Spike

Mesothelin Peptide LLGPHVEGLK

Reverse curve: varying labeled

peptide

Forward (Standard Addition) curve: varying

unlabeled peptide

Endogenous analyte

Limit of quantitation (LOQ)

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The Zolg Number (Z*) •   Clinically believable biomarkers can emerge when it is

practical to: –   produce good measurements of candidates (CV<15%) –   in Z samples, where Z is a disease specific number, typically ≅1,500, comprising multiple disease groups and controls

•   Of the 20,075 publications on “protein biomarkers”, I know only two that used >1,000 samples

•   With sample numbers <Z, substantial doubt remains as to validity in human populations

•   If 1,000+ samples can be run in a week, biomarker studies can become realistic

* Attributed to Werner Zolg, formerly of Roche Diagnostics

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TRANSLATING BIOMARKER ASSAYS TO THE CLINIC: STEPS TOWARDS REGULATED USE OF HIGH-THROUGHPUT PROTEIN ASSAYS

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•   Thyroglobulin is used as a marker for recurrence of thyroid cancer

•   Known interferences prevent use of existing clinical immunoassays in 20-40% of patients

•   SISCAPA assay eliminates these interferences

•   In collaboration with Dr. Hoofnagle SAT is providing improved SISCAPA antibodies that bring test sensitivity to clinically required level

The First Clinical SISCAPA Assay

Hoofnagle et al, (2008) Clinical Chemistry 54:11 1796-1804 23

Pro

blem

S

olut

ion

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FDA and Multiplex MRM Assays

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A Large Library of MRM and SISCAPA/MRM Assays for Biomarker Development

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Acknowledgments Academic Partners and Funding

•   University of Victoria, BC

–   Terry Pearson , Matt Pope, Angela Jackson, Morteza Razavi, Department of Biochemistry and Microbiology, University of Victoria, B.C, Canada

–   Christoph Borchers, Derrick Smith, Darryl Hardy, UVic-Genome B.C. Proteomics Centre

•   Carr CPTAC Team –   Steve Carr, Eric Kuhn, Terri Addona,

Hazmik Keshishian, Sue Abbatiello, Broad Institute

–   Mandy Paulovich, Jeff Whitaker, Lei Zhao, Fred Hutchinson Cancer Research Center

•   Grant Funding –   National Cancer Institute

•   Biomarker Discovery Initiative (contract # 23XS144A)

•   Clinical Proteomic Technology Assessment for Cancer (grant U24-CA126476-01)

–   Canary Fund Seed Grant

Corporate Partners

•   Epitomics: RabMAb Antibody Development –   Guoliang Yu, Xiuwen Liu, Taiying Chen

•   Agilent: SISCAPA Platform Optimization –   Chris Miller, Keith Waddell, Gus Salem,

Agilent Mass Spectrometry –   Marc Beban, Peter Werner, Nitin Sood,

Agilent Automation Solutions •   ABSciex: Plasma MRM Assays

–   Christie Hunter, Tina Settineri, Applied Biosystems, Foster City

•   ThermoFisher: Kingfisher •   Assay Collaborations

–   Pfizer –   TGEN –   biOasis –   Mayo Clinic –   Andy Hoofnagle, U of Washington

•   Animation and Graphics –   Beth Anderson, Arkitek Studios, Seattle

Commercialization of SISCAPA® technology is undertaken by SISCAPA Assay Technologies, Inc.

www.SISCAPA.com

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SISCAPA Publications •   High sensitivity quantitation of peptides by mass spectrometry. Anderson, Norman L., United States Patent 7,632,686. The initial SISCAPA claims.

•   Mass Spectrometric Quantitation of Peptides and Proteins Using Stable Isotope Standards and Capture by Anti-Peptide Antibodies (SISCAPA). Anderson, N.L., Anderson, N.G., Haines, L.R., Hardie, D.B., Olafson. R.W., and Pearson, T.W. Journal of Proteome Research, 3: 235-44 (2004). Initial proof of concept results with SISCAPA using 4 peptides & Ab’s.

•   An effective and rapid method for functional characterization of immunoadsorbents using POROS® beads and flow cytometry. Anderson, N.L. , Haines, L.R. and Pearson, T.W. Journal of Proteome Research 3:228-34 (2004). Methods for characterizing SISCAPA immobilized Ab’s.

•   The Roles of Multiple Proteomics Platforms in a Pipeline for New Diagnostics. N. Leigh Anderson, Mol Cell Proteomics, 4: 1441 - 1444 (2005). Role of SISCAPA assays in the Dx pipeline.

•   Quantitative Mass Spectrometric MRM Assays for Major Plasma Proteins. Leigh Anderson and Christie Hunter, Mol Cell Proteomics, 5: 573-588 (2006). Capabilities of QqQMS as the MS measurement platform for use in quantitating peptides/proteins in plasma digests: the SISCAPA detector.

•   Antibody-based enrichment of peptides on magnetic beads for mass-spectrometry-based quantification of serum biomarkers. J. R. Whiteaker, L. Zhao, H. Y. Zhang, L-C Feng, B. D. Piening, L. Anderson and A. G. Paulovich, Analytical Biochemistry 362:44–54 (2007). Implementation of SISCAPA on magnetic beads.

•   Protein Quantitation through Targeted Mass Spectrometry: The Way Out of Biomarker Purgatory? Steven A. Carr and Leigh Anderson, Clinical Chemistry 54:11, 1749–1752 (2008)

•   Anti-peptide antibody screening: selection of high affinity monoclonal reagents by a refined surface plasmon resonance technique. Matthew E. Pope, Martin V. Soste, Brett A. Eyford, N. Leigh Anderson and Terry W. Pearson,, J Immunol Methods, 341(1-2):86-96 (2009)

•   A Human Proteome Detection and Quantitation Project: hPDQ. N. Leigh Anderson, Norman G. Anderson, Terry W. Pearson, Christoph H. Borchers, Amanda G. Paulovich, Scott D. Patterson , Ruedi Aebersold and Steven A. Carr, Mol Cell Proteomics 8:883-886 (2009)

•   SISCAPA Peptide Enrichment on Magnetic Beads Using an Inline Beadtrap Device. N. Leigh Anderson, Angela Jackson, Derek Smith, Darryl Hardie, Christoph Borchers, and Terry W. Pearson, Mol Cell Proteomics 8:995-1005 (2009)

•   MRM-based, Multiplexed, Absolute Quantitation of 45 Proteins in Human Plasma Michael A. Kuzyk, Derek Smith, Juncong Yang, Tyra Cross, Angela Jackson, Darryl Hardie, N. Leigh Anderson, and Christoph H. Borchers, Molec. Cell. Proteomics, 8(8):1860-77 (2009)

•   A Multi-site Assessment of Precision and Reproducibility of Multiple Reaction Monitoring-based Measurements by the NCI-CPTAC Network: Toward Quantitative Protein Biomarker Verification in Human Plasma. Terri Addona et al. Nature Biotechnology, 27(7):633-41 (2009)

•   An automated and multiplexed method for high throughput peptide immunoaffinity enrichment and multiple reaction monitoring mass spectrometry-based quantification of protein biomarkers. Jeffrey R. Whiteaker, Lei Zhao, Leigh Anderson, and Amanda G. Paulovich, Mol. Cell. Proteomics 9:184-196 (2010)

•   Proteomic-Based Multiplex Assay Mock Submissions: Supplementary Material to A Workshop Report by the NCI-FDA Interagency Oncology Task Force on Molecular Diagnostics, Fred E. Regnier, et al, Clin Chem. 56:2 165–171 (2010)

•   MALDI Immunoscreening (MiSCREEN): A Method for Selection of Anti-peptide Monoclonal Antibodies For Use in Immunoproteomics, Morteza Razavi, Matthew E. Pope, Martin V. Soste, Brett A. Eyford, N. Leigh Anderson and Terry W. Pearson, in press