Publications by Biophoenix' Principals

The Convergence of Biomarkers and Diagnostics:
Therapy Area Analyses, Key Products and Future Trends
Publisher:Business Insights Ltd (Datamonitor)
Year of publication:2008
Type of publication:Management report
Publisher's reference (if any):RBDD0021
Author(s):Sreten Bogdanovic and Beata Langlands
Approximate page count:250
Price when published:$3835
Remarks:
  1. Page numbers, where given, refer to the draft manuscript (which may differ from the published version).
  2. The copyright in this report is owned by the publisher, to whom any requests for copies should be addressed.
  3. The price shown is for a single copy of the print version. Multiple copies and electronic copies usually have different prices.
Table of Contents
Executive Summary

  Chapter 1 Overview of biomarker diagnostics
  Chapter 2 Biomarker discovery and validation
  Chapter 3 Opportunities in cancer
  Chapter 4 Opportunities in cardiovascular disease
  Chapter 5 Opportunities in other diseases
  Chapter 6 Market considerations and forecasts
  Chapter 7 Trends and opportunities

Chapter 1 Overview of biomarker diagnostics

  1.0 Executive summary
  1.1 Introduction
  1.2 Information provided by biomarkers
     1.2.1 DNA biomarkers
     1.2.2 RNA biomarkers
     1.2.3 Protein biomarkers
     1.2.4 Metabolite biomarkers
  1.3 Technologies for in vitro biomarker detection
     1.3.1 Nucleic acid testing
       1.3.1.1 Probe-based NAT
       1.3.1.2 DNA microarrays
     1.3.2 DNA methylation analysis
     1.3.3 Gene expression analysis
     1.3.4 Protein analysis
       1.3.4.1 Immunoassays
       1.3.4.2 Mass spectrometry
       1.3.4.3 Protein arrays
     1.3.5 Multimarker diagnostic panels
  1.4 Regulation of in vitro diagnostic tests
     1.4.1 Europe
     1.4.2 USA
       1.4.2.1 Guidance on pharmacogenomic data submission
       1.4.2.2 Drug-diagnostic co-development concept paper
       1.4.2.3 Draft guidance on multivariate analysis
  1.5 In vivo biomarker diagnostics

Chapter 2 Biomarker discovery and validation

  2.0 Executive summary
  2.1 Introduction
  2.2 Omics approaches
     2.2.1 Genomics
     2.2.2 Transcriptomics
     2.2.3 Proteomics
     2.2.4 Metabolomics
     2.2.5 Other omics and systems biology
  2.3 Streamlining biomarker validation
  2.4 Case studies
     2.4.1 BG Medicine
     2.4.2 Caprion Proteomics
     2.4.3 Clinical Data
     2.4.4 Compugen
     2.4.5 Digilab Peptidomics
     2.4.6 Metabolon
     2.4.7 Monarch LifeSciences
     2.4.8 Pronota
     2.4.9 Source MDx
     2.4.10 Vermillion

Chapter 3 Opportunities in cancer

  3.0 Executive summary
  3.1 Background on cancer
     3.1.1 Biomarker-based diagnostics
     3.1.2 Targeted therapies and companion diagnostics
  3.2 Tests based on DNA biomarkers
  3.3 Tests based on RNA biomarkers
  3.4 Tests based on protein biomarkers
  3.5 Biomarkers in breast cancer
     3.5.1 Susceptibility
     3.5.2 Detection
     3.5.3 Prognosis and selection for therapy
       3.5.3.1 Chemotherapy
       3.5.3.2 Tamoxifen
       3.5.3.3 HER2-targeting treatments
  3.6 Biomarkers in prostate cancer
     3.6.1 Susceptibility
     3.6.2 Detection
     3.6.3 Classification, prognosis, and treatment
  3.7 Biomarkers in colorectal cancer
     3.7.1 Susceptibility
     3.7.2 Detection
     3.7.3 Classification, prognosis, and treatment
  3.8 Biomarkers in lung cancer
     3.8.1 Susceptibility
     3.8.2 Detection
     3.8.3 Classification, prognosis, and treatment
  3.9 Biomarkers in ovarian cancer
     3.9.1 Detection
     3.9.2 Classification and prognosis

Chapter 4 Opportunities in cardiovascular disease

  4.0 Executive summary
  4.1 Background on cardiovascular disease
     4.1.1 Biomarker-based diagnostics
       4.1.1.1 Tests based on protein biomarkers
       4.1.1.2 Tests based on other biomarkers
  4.2 Biomarkers in coronary artery disease
     4.2.1 Lipid/lipoprotein biomarkers
     4.2.2 Biomarkers of inflammation, plaque instability
     4.2.3 Genetic biomarkers
     4.2.4 Biomarkers from omic studies
  4.3 Biomarkers in acute coronary syndromes
     4.3.1 Biomarkers of necrosis
     4.3.2 Other biomarkers
     4.3.3 Biomarkers for risk stratification
     4.3.4 Multimarker strategies
  4.4 Biomarkers in congestive heart failure
     4.4.1 Biomarkers of hemodynamic strain
     4.4.2 Pharmacogenomic biomarkers
  4.5 Biomarkers in stroke
  4.6 Prediction of drug efficacy

Chapter 5 Opportunities in other diseases

  5.0 Executive summary
  5.1 Biomarkers in infectious diseases
     5.1.1 Viral infections
       5.1.1.1 HIV
       5.1.1.2 Hepatitis viruses
       5.1.1.3 HPV
       5.1.1.4 Influenza and SARS
     5.1.2 Bacterial infections
       5.1.2.1 Chlamydia and gonorrhea
       5.1.2.2 Mycobacteria
       5.1.2.3 MRSA
       5.1.2.4 Sepsis screening
  5.2 Biomarkers in CNS disorders
     5.2.1 Alzheimer's disease
     5.2.2 Other neurodegenerative disorders
     5.2.3 Multiple sclerosis
     5.2.4 Traumatic brain injury
     5.2.5 Biomarkers of CNS drug efficacy
  5.3 Biomarkers in diabetes and obesity
     5.3.1 Type 1 diabetes
     5.3.2 Obesity and type 2 diabetes

Chapter 6 Market considerations and forecasts

  6.0  Executive summary
  6.1  Introduction
  6.2  Overview of the total pharmaceuticals market
  6.3  Overview of the total in vitro diagnostics market
  6.4  Outlook for the diagnostic biomarkers market
     6.4.1 Cancer: immunoassays and microarrays
     6.4.2 Cardiovascular disease: immunoassays
     6.4.3 Infection biomarkers
     6.4.4 Predisposition and pharmacogenomic tests

Chapter 7 Trends and opportunities

  7.0 Executive summary
  7.1 Prospects for omics-derived biomarkers
     7.1.1 Genomic variants as biomarkers
     7.1.2 Gene expression signatures as biomarkers
     7.1.3 Proteomic patterns as biomarkers
     7.1.4 Translating omic discoveries into immunoassays
  7.2 Factors affecting acceptance of biomarkers
  7.3 Prospects for companion diagnostics
  7.4 Biomarkers patent survey

Appendix:  Research Methodology

Index

List of Tables and Exhibits

Table 1.1  In Vitro Diagnostic Multivariate Index Assays -
           Summary of FDA Draft Guidance
Table 3.1  High Priority Proteomic Cancer Biomarkers
Table 3.2  Other Proteomic Cancer Biomarkers
Figure 4.1 Biomarkers of Acute Coronary Syndromes
Table 4.1  Biomarkers of Cardiovascular Disease and Stroke
Table 4.2  Further Biomarkers of Cardiovascular Disease
           and Stroke
Table 6.1  Worldwide In Vitro Diagnostic Sales by Country,
           2007-2012 ($M)
Table 6.2  Worldwide In Vitro Diagnostic Sales by Application,
           2007-2012 ($M)
Table 6.3  Biomarker Markets by Application, 2007-2012 ($M)
Table 6.4  Biomarker Markets by Geographical Region,
           2007-2012 ($M)
Table 7.1  Analysis of Filing and Publication Dates for
           Biomarker Patents, 2000-2007
Table 7.2  Biomarker Assignees With 6 or More Patents
Table 7.3  Biomarker patents: Technologies and Applications
Table 7.4  Leading Biomarker Patent Assignees by Application
Table 7.5  Patent Activity Analysis for the Top 4 Biomarker
           Assignees
Executive Summary

Chapter 1 Overview of biomarker diagnostics

  • Pathogenic disease processes, as well as pharmacologic responses to therapeutic intervention may be analysed at the molecular level by utilizing biomarkers.

  • Molecular diagnostics analyze key DNA, RNA or protein biomarkers to identify a disease and/or determine its course, evaluate response to therapy, or predict individual susceptibility to disease or drug effects.

  • There is a growing concensus that multiple biomarkers provide a better reflection of the multi-dimensional nature of a disease state. Multivariate index assays are test systems that employ data derived in part from one or more in vitro assays, and an algorithm enabling their interpretation.

  • In new drug development, when the biomarker or combination of biomarkers can be shown to be the single best measure of efficacy, a combination drug-diagnostic product may be developed.

  • Biomarkers can provide information about changes associated with specific diseases or responses to treatment at the DNA, RNA, protein, or metabolite level.

  • Established biomarker detection platforms are nucleic acid testing and protein immunoassays.

  • Evolving biomarker detection platforms include DNA microarrays that can perform parallel biomarker analyses and mass spectrometry that can identify large numbers of proteins or other components in complex mixtures.

  • In Europe CE marking of an in vitro diagnostic product (IVD) is required before it can be launched in the market, in accordance with Directive 98/79/EC. In the US the Food and Drug Administration (FDA) operates with two main types of applications: 510K and the more comprehensive PMA (Pre Market Approval).

  • In the US, IVDs are marketed as complete test kits or as analyte-specific reagents (ASRs). The Center for Medicaid and Medicare Services (CMS) monitors the latter. In-house developed (homebrew) tests are conducted by clinical reference laboratories and do not require FDA approval.

  • A recent trend has been the coupling of in vivo imaging techniques with molecular biomarkers. Developments in this area are expected to accelerate progress in in vivo diagnostics.

    Chapter 2 Biomarker discovery and validation

  • New high-throughput omics technologies are yielding many potential biomarkers and biomarker patterns, some of which may prove useful for diagnostic use.

  • In the biomarker discovery phase a variety of omics technologies may be applied. In the validation phase the diagnostic performance of candidate biomarkers has to be assessed. The final product development phase involves transfer of the biomarker to a robust test platform.

  • Omics technologies which are enabling biomarker discovery include genomics, pharmacogenomics, transcriptomics, proteomics and metabolomics. In addition, systems biology seeks to understand biomarkers and pathways in which they participate at a whole systems level.

  • Plasma represents a rich source of potential biomarkers. In order to increase the success rate in the discovery of reliable protein biomarkers approaches such as use of protein arrays and quantitative mass spectrometry are under exploration.

  • The NCI's Early Detection Research Network has proposed five conceptual phases of biomarker development and evaluation in the cancer area: preclinical exploratory, clinical assay and validation, retrospective longitudinal, prospective screening and cancer control.

  • Companies have been establishing proprietary technology platforms and applying them on a large scale for discovering and validating novel biomarkers that may be used in diagnostics.

  • Many bioinformatics companies are involved in, or support, biomarker discovery. Bioinformatics platforms are used to identify novel biomarkers and to place them into their biological and clinical context.

  • BG Medicine's biomarker discovery platform involves the integrated analysis of thousands of precise measurements of proteins, metabolites and nucleic acids. Compugen also discovers biomarkers at the DNA, RNA and protein levels.

  • PGxHealth can rapidly screen genetic variants for their potential utility as genetic tests. Source MDx discovers RNA biomarkers and has obtained the first known patent claim on a normal range of gene expression.

  • Companies pursuing protein biomarker discovery such as Monarch LifeSciences and Vermillion, Caprion Proteomics, and Pronoma exploit a range of proprietary mass spectrometry technologies and approaches. Digilab Peptidomics uses its proprietary technologies to identify peptide biomarkers. Metabolon discovers metabolite biomarkers.

    Chapter 3 Opportunities in cancer

  • In cancer, biomarker-based tests are needed to diagnose disease, monitor disease, determine prognosis and guide treatment decisions. In the US, blood tests based on "tumor associated antigens" have been approved by the FDA primarily for monitoring patients with known cancer.

  • Breast cancer is the most common cancer among women in the US. Tests for early cancer detection under development are based on gene expression, alternative RNA splicing and protein panels.

  • In February 2007, the FDA cleared the first InVitro Diagnostic Multivariate Index Assay (IVDMIA), Agendia's MammaPrint, a gene expression profiling test to assess the risk of breast tumor recurrence.

  • A variety of prognostic tests for breast cancer is under development, based on DNA, mRNA or protein biomarkers. Companies are also investigating various biomarkers for inclusion in tests to select patients for treatment with specific anti-cancer agents.

  • Prostate cancer is the most common cancer among men in the US. Current PSA screening test has many drawbacks. Other individual biomarkers may offer better specificity and sensitivity. In addition, a range of diagnostic and prognostic tests under development is investigating DNA methylation, gene expression, proteomic and peptidomic patterns.

  • Diagnosis of colorectal cancer, the third most common cancer in the US, is possible based on analysis of stool-associated tumor DNA, but blood-based diagnosis may also be possible based on a methylated DNA marker or gene expression patterns. Tumor gene expression profiles may predict cancer recurrence and distant metastases.

  • Third Wave Technologies' FDA-cleared Invader UGT1A1 Molecular Assay can identify patients at risk of adverse reaction to irinotecan and other genomic or protein-based tests are under development to enable therapy selection in colorectal cancer.

  • Screening tests for lung cancer, the most common cancer in the world, are urgently needed. Blood tests based on microRNA biomarkers and a hybrid DNA/protein test are in development, as well as a test based on DNA methylation markers. Abbott is developing a peptide-based test to classify lung cancer.

  • Early detection is also key to successful treatment of ovarian cancer but no standardized screening test exists. Various combinations of protein markers in panels are being tested. Correlogic Systems' OvaCheck is the first proteomic pattern-based blood test developed for early cancer detection. Proteomic profiling may also allow risk stratification.

    Chapter 4 Opportunities in cardiovascular disease

  • The processes that participate in the pathophysiology of cardiovascular disease have been studied intensively and a host of protein, lipid and metabolite biomarkers has emerged. Tests based on several of these biomarkers have already been approved by the FDA.

  • In atherosclerosis, several lipid and lipoprotein biomarkers have well-established diagnostic use. Many emerging protein and metabolite biomarkers are indicators of inflammation or coronary artery plaque instability. Individually these biomarkers are at best moderate predictors of acute coronary events.

  • Current studies are applying transcriptomic, proteomic and metabolomic profiling technology to atherosclerosis. Commercial tests of susceptibility to coronary artery disease are also in development by companies such as Interleukin Genetics, deCODE genetics/Roche and Celera Diagnostics/Abbott.

  • In patients presenting with chest pain rapid diagnosis of acute myocardial infarction (AMI) and risk stratification has enormous clinical importance. Currently the most specific cardiac markers are the cardiac troponins, markers of necrosis.

  • In addition to markers of necrosis, there are many potential protein and metabolite markers of plaque rupture, thrombosis and ischemia under investigation. Since many potential biomarkers show poor clinical specificity, it is likely that they will be best utilized as part of a multimarker panel for early AMI diagnosis and risk stratification for near-term cardiac events.

  • Congestive heart failure (CHF) presents a challenging diagnosis, much aided by the availability of tests based on B-type natriuretic peptide (BNP), a biomarker of hemodynamic stress. Other neurohormonal, inflammatory and metabolic markers may add complementary information to that provided by currently available BNP assays.

  • A companion pharmacogenomic test is under development for Arca Discovery's bucindolol, which promises to be the first genetically-targeted drug for CHF.

  • There are currently no rapid in vitro diagnostic tests commercially available in the US for helping to diagnose stroke from a blood sample. Biomarker tests awaiting FDA approval include Biosite's Triage Stroke panel, which combines BNP with 3 other biomarkers, and CIS Biotech's peptide-based test.

    Chapter 5 Opportunities in other diseases

  • In infectious diseases, most tests are for pathogen-derived nucleic acids and proteins, or for host-derived antibodies. Although generally speaking pathogens may be viewed as causes and not biomarkers of disease, tests can yield clinically useful information about biologic responses to infection, severity of disease, or response to treatment.

  • In HIV and hepatitis B and C viral infections, monitoring of the viral load and genotyping can determine the effectiveness of therapy. In human papillomavirus (HPV) infections, gene-based diagnostic tests can detect high-risk HPV types which cause cervical cancers.

  • Biomarkers enable early diagnosis of emerging viral diseases. Gene expression profiling may lead to the design of new diagnostics for severe acute respiratory syndrome (SARS).

  • Biomarker-based testing is especially useful for bacteria that are hard to culture, for example Chlamydia trachomatis, Neisseria gonorrhea and Mycobacterium tuberculosis.

  • For many years, researchers have searched for a diagnostic biomarker that is specific to the diagnosis of sepsis. Two biomarkers form the basis of tests cleared by the FDA. Gene expression profiling represents a new approach to sepsis diagnosis.

  • There are as yet few biomarker diagnostics for neurological disorders but there is considerable biomarker R&D activity in this area. In Alzheimer's disease controversial tests that involve sampling the CSF are commercially available. Other tests in development are based on proprietary biomarkers.

  • DiaGenic has identified a gene expression signature for Alzheimer's disease, while proteomic profiling is being carried out by an increasing number of companies. Biomarker discovery projects are also underway in other neurodegenerative diseases, multiple sclerosis and traumatic brain injury.

  • The area of CNS therapeutics has been notorious for its lack of robust and objective biomarkers of efficacy, but several companies have initiated programs targeting therapy based on genetics.

  • In diabetes, studies aim to elucidate biomarkers of susceptibility. Defining the patient's genetic profile may also have important implications for management.

    Chapter 6 Market considerations and forecasts

  • In 2007, the world pharmaceutical market was worth about $700 billion at supplier wholesale prices, and is expected to increase by 7% pa in real terms to $1,200 billion in 2012.

  • Overall, the regulation of in vitro diagnostics (IVDs) is less stringent than for pharmaceuticals, partly because both assay manufacturers and clinical laboratories are expected to assume some responsibility for the correct performance of assays.

  • The worldwide IVD market is currently worth around $51 billion, about 7% of the world pharma market, and is expected to grow at an AGR of about 8% to $76 billion in 2012.

  • We forecast that the biomarker market will grow in real terms at a compound annual growth rate (CAGR) of 17.6%, from $5.5 billion in 2007 to $12.4 billion in 2012.

  • Biomarker assays are deployed mainly in two end-user segments: clinical diagnostics and research (including drug development). Currently these two segments are approximately equal in size, but therapeutic uses of biomarkers are expected to predominate as the market grows.

  • Cancer biomarker asssays (including what used to be called "tumor marker" assays) are forecast to grow at an AGR of 10% from $1,662M in 2007 to $2,6767M in 2012.

  • Assays for cardiovascular biomarkers are forecast to grow at an AGR of 23%, from $1,662M in 2007 to $4,500M in 2012

  • Viral and bacterial antigen tests are worth about $1,200M and bacterial nucleic acid tests (NATs) are worth about $300M. We expect these to grow together at a CAGR of about 12% to a total of $2,658M in 2012.

  • Viral detection and load tests are worth $500M, and we expect these to grow at a CAGR of 22% to $1,513M in 2012.

  • Genotyping tests (primarily for viral infections) are worth about $104M, and we forecast that they will grow to $686M in 2012, an AGR of 45.8%.

  • We also predict a high AGR of 31% for the predisposition and pharmacogenomic testing segment, which will grow from an estimated $102M in 2007 to $392M in 2012 as more tests enter widespread use.

    Chapter 7 Trends and opportunities

  • Technological advances have shifted the paradigm for identification of biomarkers from studies of pathophysiology or epidemiology to studies utilizing genomic and proteomic approaches.

  • With the increasing emphasis on personalized medicine, biomarkers at the DNA level will have an increasingly important role in healthcare delivery. Gene expression profiling will continue to address areas of unmet diagnostic need. Proteomic studies are set to provide a more accurate reflection of the disease process itself.

  • Mass spectrometric instrumentation is currently not amenable towards routine clinical analysis but protein biomarkers discovered with this methodology may be developed into immunoassays.

  • Acceptance of biomarkers will depend on perceived benefits, some of which are easily quantified. The advent of companion diagnostics will forge new links among diagnostic and pharmaceutical companies, laboratory medicine, and academe.

  • We examined 571 biomarker-related patent documents in the World Intellectual Property Organization (WIPO) database and found cancer to be the predominant indication claimed. Of the 22 leading biomarker patent assignees, half were for-profit organizations. The assignee with the largest estate (34 patents) was Novartis.



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