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Biomarkers

Technologies, Markets and Companies

Publication Date   March 2008
Publisher   Jain PharmaBiotech
Product Type   Strategic Report
Pages   643
ISBN Number   not applicable
Product Code   JAI003
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Summary


This report follows the broad definition of a biomarker as a characteristic that can be objectively measured and evaluated as an indicator of normal biological or pathogenic processes as well as pharmacological responses to a therapeutic intervention. Tests based on biomarkers have been around for more than half a century, but interest in their application for diagnostics and drug discovery as well as development has increased remarkably since the beginning of the 21st century. This report describes different types of biomarkers and their discovery using various -omics technologies such as proteomics and metabolomics. Molecular diagnostics technologies are used for the discovery of biomarkers and new tests are also based on biomarker.

Currently the most important applications of biomarkers are in drug discovery and development. The role of biomarkers in various therapeutic areas particularly cancer, cardiovascular diseases and disorders of the central nervous system, is described. Biomarkers are useful not only for diagnosis of some of these diseases but also for understanding the pathomechanism as well as a basis for development of therapeutics.

Biomarkers will facilitate the combination of therapeutics with diagnostics and will thus play an important role in the development of personalized medicine. Biomarkers play a role in use of pharmacogenetics, pharmacogenomics and pharmacoproteomics for development of personalized medicine.

Many of the regulatory issues concerning biomarkers are related to genomics, proteomics, molecular diagnostics and pharmacogenomics/pharmacogenetics. Validation of biomarkers and their role in clinical trials is discussed.

Biomarker markets are estimated from 2007 to 2017 according to share of markets for various technologies and applications: proteomics, metabolomics, molecular diagnostics, drug discovery, clinical trials, and bioinformatics. Market values are further split according to therapeutic applications and major geographical areas. Unfulfilled needs in biomarkers are identified as well as the drivers for biomarker markets. Challenges facing the biomarker industry and strategies for developing biomarker markets are discussed.

A large number of companies with varying technical backgrounds are involved in biomarkers and 224 of these are profiled in part 2 of the report with classification into various categories.These also include major pharmaceutical companies. There is tabulation of 446 collaborations between companies and additional academic collaborations are mentioned in the individual profiles of companies. The report is supplemented by 620 references, 52 tables and 10 figures

Content


  • 0. Executive Summary
  • 1. Introduction
    • Definitions
    • Historical aspects of biomarkers
    • Classification of biomarkers
    • Biological marker as response to therapeutic intervention
    • Pharmacokinetic/pharmacodynamics biomarkers
    • Predictive biomarkers
    • Valid biomarkers
    • Types of biomarkers
    • Genes as biomarkers
    • Proteins as biomarkers
    • Proteomics
    • DNA biomarkers
    • Mitochondrial DNA
    • Mitochondrial mutations
    • RNA biomarkers
    • Transcriptomics
    • MicroRNAs
    • Metabolomics
    • Glycomics
    • Single nucleotide polymorphisms
    • Haplotyping
    • Cell biomarkers of disease
    • Stem cell biomarkers
    • Endoglin as a functional biomarker of HSCs
    • STEMPRO EZChek for analysis of biomarkers of hESCs
    • SSEA-4 as biomarker of MSCs
    • p75NTR as a biomarker to isolate adipose tissue-derived stem cells
    • Protein expression profile as biomarker of stem cells
    • Association of stem cell biomarkers with disease
    • Autoantibodies as biomarkers of autoimmune diseases
    • Biomarkers and systems biology
    • Systems biology approach to biomarker identification
    • Relation of biomarkers to other technologies and healthcare
  • 2. Technologies for Discovery of Biomarkers
    • Introduction
    • The ideal biomarker
    • Genomic technologies
    • Gene expression
    • Whole genome expression array
    • Gene expression profiling on whole blood samples
    • Tissue microarrays for study of biomarkers
    • Epigenomic technologies
    • Discovery of methylation biomarkers
    • Proteomic technologies
    • 2D GE
    • Isotope-coded affinity tags
    • Mass spectrometry
    • MALDI mass spectrometry for biomarker discovery
    • 2D PAGE and mass spectrometry
    • Quantitative tandem MS
    • Single-molecule mass spectrometry using a nanopore
    • Liquid chromatography-MS/MS
    • Biomarker Amplification Filter
    • Protein tomography
    • Protein biochips/microarrays and biomarkers
    • Detection of biomarkers using peptide array technology
    • Protein nanobiochip
    • Antibody-based biomarker discovery
    • Magnetics beads for protein biomarker discovery
    • CellCarta proteomics platform
    • MASStermind
    • Serum peptidome patterns
    • Search for biomarkers in body fluids
    • Challenges of the plasma proteome
    • Analysis of enzyme biomarkers in bodily fluids
    • BD Free Flow Electrophoresis System
    • Strategies for discovey of biomarkers in plasma
    • Proteome partitioning
    • Stable isotope tagging methods
    • Isotope tags for relative and absolute quantification
    • Biomarkers in the urinary proteome
    • Peptides in body fluids and tissues as biomarkers of disease
    • 3-D structure of CD38 as a biomarker
    • Technology to measure both the identity and size of the biomarker
    • Comparison of proteomic profiling technologies for discovery of biomarkers
    • Glycomic technologies
    • Metabolomic technologies
    • Urinary profiling by capillary electrophoresis
    • Lipid profiling
    • Role of metabolomics in biomarker identification and pattern recognition
    • Validation of biomarkers in large-scale human metabolomics studies
    • Lipidomics
    • Disease biomarkers in breath
    • Portable lbreath test for volatile organic compounds
    • Detection of breath biomarkers by sensation technology
    • Detection of breath biomarkers optical frequency comb spectroscopy
    • Fluorescent indicators for biomarkers
    • Imaging technologies
    • Computer tomography
    • Magnetic resonance imaging
    • Positron emission tomography
    • Advantages of imaging biomarkers
    • Monitoring in vivo gene expression by molecular imaging
    • Molecular imaging in vivo as a biomarker
    • Challenges and future prospects of molecular imaging
    • Basic research in molecular imaging
    • Devices for molecular imaging
    • Molecular imaging in clinical practice
    • Nuclear magnetic resonance
    • Chemical derivatization to enhance biomarker detection by NMR
    • Fluxomics by using NMR
    • Nanobiotechnology
    • Nanomaterials for biolabeling
    • Quantum dot molecular labels
    • Bioconjugated QDs for multiplexed profiling of biomarkers
    • Nanoproteomics and biomarkers
    • High-field asymmetric waveform ion mobility mass spectrometry
    • Nanoparticles for molecular imaging
    • Nanoparticles for discovering biomarkers
    • Nucleoprotein nanodevices for detection of cancer biomarkers
    • Future prospects of application of nanobiotechnology for biomarkers
    • Bioinformatics
    • Biomarker Workflow Guide
    • Analysis of microarray data for selecting useful biomarkers
    • Role of bioinformatics in discovery of proteomic biomarkers
    • Role of bioinformatics in detection of cancer biomarkers
    • Biomarker databases
  • 3. Biomarkers and Molecular Diagnostics
    • Introduction
    • Molecular diagnostic technologies
    • Polymerase chain reaction
    • Amplification
    • Target selection
    • Detection of amplified DNA
    • Limitations of PCR
    • Real-time PCR systems
    • Limitations of real-time PCR
    • Future applications of real-time Q-PCR
    • Combined PCR-ELISA
    • Non-PCR methods
    • Linked Linear Amplification
    • Transcription mediated amplification
    • Rapid analysis of gene expression
    • WAVE nucleic acid fragment analysis system
    • DNA probes with conjugated minor groove binder
    • Rolling circle amplification technology
    • Gene-based diagnostics through RCAT
    • RCAT-immunodiagnostics
    • RCAT-biochips
    • RCAT-pharmacogenomics
    • Circle-to-circle amplification
    • Biochips and microarrays
    • Applications of biochips/microarrays
    • Role of biochip/microarrays in discovery of biomarkers
    • Biomarkers and high throughput molecular screening
    • Detection and expression profiling of miRNA
    • Real-time PCR for expression profiling of miRNAs
    • Use of LNA to explore miRNA
    • Microarrays for analysis of miRNA gene expression
  • 4. Biomarkers for Drug Discovery & Development
    • Introduction
    • Biomarker technologies for drug discovery
    • Proteomics-based biomarkers for drug discovery
    • Chemoproteomics
    • Transcriptomics for drug discovery
    • Metabolomics for drug discovery
    • Applications of biomarkers in drug safety studies
    • Genomic technologies for toxicology biomarkers
    • Proteomic technologies for toxicology biomarkers
    • Metabonomic technologies for toxicology biomarkers
    • Integration of genomic and metabonomic data to develop toxicity biomarkers
    • Toxicology studies based on biomarkers
    • Biomarkers of hepatotoxicity
    • Biomarkers of nephrotoxicity
    • Cardiotoxicity
    • Neurotoxicity
    • Applications of biomarkers for drug development
    • Application of metabonomics/metabolomics for drug development
    • Role of pharmacokinetic/pharmacodynamic biomarkers in drug development
    • Molecular imaging as a biomarker in drug development
    • Molecular imaging in preclinical studies
    • Molecular imaging in clinical trials
    • Prospects of molecular imaging in drug discovery and development
    • Biomarkers in clinical trials
    • NIH recommendations on the use of biomarkers in clinical trials
    • Advantages of biomarkers for drug development
    • Limitations and problems with use of biomarkers in clinical trials
    • Application of biomarkers by the pharmaceutical companies
    • Use of biomarkers in relation to stage of drug discovery and development
    • Role of biomarkers in drug development in oncology
    • Molecular imaging of tumor as a guide to drug development
    • Biomarker-based diagnostics to guide cancer treatment
    • Biomarkers in plucked hair for assessing cancer therapy
    • Molecular targets of anticancer drugs as biomarkers
    • Safety biomarkers in oncology studies
    • Drug development in cardiovascular disorders
    • Drug development in neurological disorders
    • Future prospects of biomarker-based drug development
    • The Biomarker Alliance
    • Molecular Libraries and Imaging Roadmap of NIH
    • Biomarker Consortium
  • 5. Role of Biomarkers in Healthcare
    • Introduction
    • Biomarkers in metabolic disorders
    • Liver X receptors
    • Biomarkers of diabetes mellitus
    • Biomarkers of hyperglycemia
    • Biomarkers of diabetes-associated oxidative stress
    • Biomarkers of inflammation associated with diabetes
    • Biomarkers of renal complications in diabetes mellitus type 2
    • Lack of C-peptide as biomarker of complications of diabetes type 1
    • Glycosylated hemoglobin in diabetes mellitus
    • Serum retinol binding protein 4 as biomarker of insulin resistance
    • Biomarkers of metabolic syndrome
    • Adiponectin
    • Biomarkers in autoimmune/inflammatory disorders
    • Systemic lupus erythematosus
    • Current management and need for biomarkers
    • Role of collaborative efforts and databases of SLE biomarkers
    • C4d-bearing reticulocytes
    • Adiponectin
    • CB-CAPS
    • Genetic loci of SLE
    • Epigenetic biomarkers of SLE
    • Role of immunological biomarkers in monitoring grafted patients
    • Biomarkers in inflammatory bowel disease
    • Biomarkers of musculoskeletal disorders
    • Biomarkers of rheumatoid arthritis
    • Biomarkers of spondylarthritis
    • Biomarkers of osteoarthritis
    • Biomarkers of osteoporosis
    • Dual x-ray absorptiometry
    • Bone imaging with quantitative CT and MRI
    • Biomarkers of oxidative stress
    • Oxidative DNA damage
    • Proteins as biomarkers of oxidative stress in diseases
    • 1,4-dihydroxynonane-mercapturic acid
    • Biomarkers of infectious diseases
    • Procalcitonin
    • Endotoxin
    • Chemokines as biomarkers of infection
    • Circulating CPS-1 as biomarkers of organ damage in sepsis
    • Tuberculosis
    • Conventional diagnosis of tuberculosis
    • Molecular diagnostics for tuberculosis
    • Biomarkers for tuberculosis
    • Biomarkers of pulmonary tuberculosis in the breath
    • Biomarkers of viral infections
    • Viral Hepatitis
    • Biomarkers of SARS
    • Biomarkers of HIV
    • Biomarkers in parasitic infections
    • Role of biomarkers in malaria
    • Identification of biomarkers in Schistosomiasis infections
    • Biomarkers of liver disease
    • Breath biomarkers of liver disease
    • Biomarkers of viral hepatitis B and C
    • Biomarkers of liver injury
    • Biomarkers of liver cirrhosis
    • FibroMax
    • Biomarkers of pancreatitis
    • Biomarkers of renal disease
    • Biomarkers of renal nephritis
    • Biomarkers of diabetic nephropathy
    • Biomarkers of pulmonary diseases
    • Biomarkers of oxidative stress in lung diseases
    • Urinary NO as biomarker of survival in acute respiratory distress syndrome
    • Pulmonary surfactant proteins as biomarkers for lung diseases
    • Cytokine/chemokine biomarkers of SARS
    • Biomarkers of chronic obstructive pulmonary disease
    • Increased expression of PIGF as a biomarker of COPD
    • Chromagranin A (CgA) as biomarker of airway obstruction in smokers
    • BNP as a biomarker of chronic pulmonary disease
    • Alpha1-antitrypsin gene polymorphisms predisposing to emphysema
    • Biomarkers of asthma
    • Comparison of biomarkers of asthma and COPD
    • Exaled nitric oxide as a biomarker of asthma
    • Cytokines as biomarkers of asthma severity
    • Biomarker for rhinovirus-induced asthma exacerbation
    • Biomarkers for predicting response to corticosteroid therapy
    • IgE as guide to dosing of omalizumab for asthma
    • Endothelin-1 in exhaled breath as biomarker of asthma
    • Biomarkers for cystic fibrosis
    • Biomarkers of pulmonary embolism
    • Biomarkers of lung transplant rejection
    • Biomarkers in obstetrics and gynecology
    • Biomarkers for preeclampsia
    • Protein biomarker of preeclampsia in urine
    • Protein biomarkers of preeclampsia in CSF
    • Protein HtrA1 as biomarker for preeclampsia
    • sFlt1 and soluble endoglin as biomarkers of preeclampsia
    • RNA biomarkers
    • Biomarkers of premature birth
    • Biomarkers of oxidative stress in complicated pregnancies
    • Biomarkers of premenstrual dysphoric disorder
    • Biomarkers of endometriosis
    • Fetal biomarkers in maternal blood
    • Biomarkers for genetic disorders
    • Biomarkers for Down's syndrome
    • Biomarkers for muscular dystrophy
    • Biomarkrs of phenylketonuria
    • Genetic biomarkers for psoriasis
    • Biomarkers of aging
    • Genes as biomarkers of aging
    • Telomere attrition as aging biomarker
    • Mitochondrial mutations as biomarkers of aging
    • Role of bioinformatics in search for biomarkers of aging
    • Effect of calorie restriction on biomarkers of longevity
    • Biomarkers of miscellaneous disorders
    • Lysosomal storage disorders
    • Biomarkers of erectile dysfunction
    • Susceptibility to heatstroke
    • Biomarkers of pain
    • Biomarkers of visceral pain
    • Nasal nitric oxide as a biomarker of response to rhinosinusitis therapy
    • Biomarkers and nutrition
    • Biomarkers of nutritional status
    • Biomarkers of branched chain amino acid status
    • Proteomic biomarkers and nutrition
    • Biomarkers of gene-environmental interactions in human disease
  • 6. Biomarkers of Cancer
    • Introduction
    • Molecular diagnostic techniques for cancer
    • The ideal biomarker for cancer
    • Single vs multiple biomarkers of cancer
    • Technologies for detection of cancer biomarkers
    • Genomic technologies for cancer biomarkers
    • Genome analysis at the molecular level
    • Early detection of tumor suppressor gene mutations
    • B7 coregulatory ligands
    • Biomarkers of PTEN tumor suppressor gene status
    • HAAH as a biomarker for cancer
    • Telomerase as a biomarker of cancer
    • Digital karyotyping for cancer biomarkers
    • LigAmp for detection of gene mutations in cancer
    • Mitochondrial DNA as a cancer biomarker
    • miRNAs as biomarkers in cancer
    • Diagnostic value of miRNA in cancer
    • Biomarkers of epigenetic gene silencing in cancer
    • Detection of DNA methylation
    • Histone acetylation
    • Tissue microarrays for study of cancer biomarkers
    • Molecular fingerprinting of cancer
    • Biomarkers of inflammation in cancer
    • Autoantibody enzyme immunoassay to detect extracellular protein kinase A
    • Proteomic technologies for biomarkers of cancer
    • 2D PAGE
    • Antibody microarrays
    • Aptamer-based molecular probes for cancer biomarker discovery
    • Cancer immunomics to identify autoantibody signatures
    • Desorption electrospray ionization for detection of cancer biomarkers
    • Detection of circulating nucleosomes in serum of cancer patients
    • Detection of tumor markers with ProteinChip technology
    • eTag assay system for cancer biomarkers
    • Glycoprotein biomarkers of cancer
    • HER-2/neu oncoprotein as biomarkers for cancer
    • Laser capture microdissection
    • Phage display technology
    • Proteomic analysis of cancer cell mitochondria
    • SELDI-TOF MS
    • Serum proteome analysis for early detection of cancer
    • Tissue proteomics for discovery of cancer biomarkers
    • Metabolomic biomarkers of cancer
    • Choline phospholipid biomarkers of cancer
    • Hypoxia-inducible factor-1
    • Detection of drug resistance in cancer by metabolic profiling
    • Epitomics for the early detection of cancer
    • Nanobiotechnology for early detection of cancer to improve treatment
    • Selective expression of biomarkers by cancer compared with normal tissues
    • In vivo imaging of cancer biomarkers
    • Positron emission tomography
    • Xenon-enhanced magnetic resonance imaging
    • Optical systems for in vivo molecular imaging of cancer
    • Kallikrein gene family and cancer biomarkers
    • Circulating cancer cells in blood as biomarkers of cancer
    • Applications of cancer biomarkers
    • Use of biomarkers for cancer classification
    • Cancer classification using microarrays
    • Proteomic classification of cancer
    • MicroRNA expression profiling to classify human cancers
    • Clinical application of methylated DNA sequences as cancer biomarkers
    • Asparagine synthetase as biomarker for treating cancer with L-asparaginase
    • Peptide-based agents for targeting cancer biomarkers for diagnosis and therapy
    • Biomarkers of angiogenesis for developing antiangiogenic therapy
    • Tumor endothelial markers
    • Circulating endothelial cells as targets for antiangiogenic drugs
    • Biomarkers of response to antiangiogenic agent brivanib alaninate
    • DCE-MRI biomarkers for evaluation of antiangiogenic agents
    • Combination of soluble biomarkers of angiogenesis with imaging
    • P53 expression level as biomarker of efficacy of cancer gene therapy
    • Biomarkers of drug resistance in cancer
    • A systems approach to biomarkers of innate drug resistance
    • Epithelial membrane protein-1 as a biomarker of gefitinib resistance
    • HtrA1 as a biomarker of response to chemotherapy in ovarian cancer
    • GRP78 as a predictor for chemoresponsiveness of breast cancer
    • Methylation biomarkers of drug resistance in cancer
    • Biomarkers of radiation exposure
    • Biomarkers according to location/type of cancer
    • Bladder cancer biomarkers
    • Urinary telomerase as biomarker for detection of bladder cancer
    • Breast cancer biomarkers
    • Biomarkers of breast cancer in breath
    • Biomarkers to evaluate efficacy of chemoprevention
    • Biomarker prognosis of breast cancer treated with doxorubicin
    • Biomarkers for breast cancer in nipple aspiration fluid
    • Cdk6 as a biomarker of breast cancer
    • Centromere protein-F
    • Carbonic anhydrase IX
    • Diagnostic tests based on breast cancer genes
    • Flow cytometry for quantification of biomarker expression patterns
    • Glycomic biomarkers for breast cancer
    • HER-2/neu oncoprotein
    • High mobility group protein A2
    • Mammaglobin
    • p27 expression as biomarker for survival after chemotherapy
    • Podocalyxin
    • Prognostic role of breast cancer genes
    • Proliferating cell nuclear antigen
    • Protein kinase C as a predictive biomarker of metastatic breast cancer
    • Protein biomarkers for breast cancer prevention
    • Quantitative realtime PCR assays for biomarker validation
    • Retinoblastoma tumor suppressor gene as a biomarker
    • Riboflavin carrier protein
    • Serum CA 15-3 as biomarker of prognosis in advanced breast cancer
    • Type III TGF- receptor as regulator of cancer progression
    • Limitations of plasma proteomics for biomarkers of breast cancer
    • Brain cancer biomarkers
    • Methylation profiling of brain tumors
    • Receptor protein tyrosine phosphatase as biomarker of gliomas
    • Serum protein fingerprinting
    • CSF protein profiling
    • CSF attractin as a biomarker of malignant astrocytoma
    • Metabolite biomarkers of brain tumors
    • miRNA biomarker of brain tumors
    • CD133 as biomarker of resistance to radiotherapy
    • Biomarkers to predict response to EGFR inhibitors
    • MRI biomarker for response of brain tumor to therapy
    • Cervical cancer biomarkers
    • Gastrointestinal cancer biomarkers
    • Gastric cancer biomarkers
    • Colorectal cancer biomarkers
    • Head and neck cancer
    • Hepatocellular carcinoma biomarkers
    • Leukemia biomarkers
    • Chromosome translocations in leukemias
    • Molecular diagnostic techniques for leukemia
    • Proteomic technologies for discovering biomarkers of leukemia
    • miRNA biomarkers of leukemia
    • Gene mutations as biomarkers in leukemia
    • DNA methylation biomarkers in leukemia
    • Biomarkers of drug resistance in leukemia
    • HAAH as biomarker of CML
    • Biomarkers of myelodysplasitic syndromes
    • Lung cancer biomarkers
    • Antibodies as biomarkers in lung cancer
    • Biomarkers associated with neuroendocrine differentiation in NSCLC
    • Biomarkers of chronic inflammation in lung cancer
    • Biomarkers for predicting sensitivity to chemotherapy in lung cancer
    • Biomarkers for prediction of sensitivity to EGFR inhibitors
    • Circulating tumor cells as biomarkers
    • Gene expression profiling for biomarkers of lung cancer
    • miRNA biomarkers in lung cancer
    • Serum protein biomarkers of lung cancer
    • tNOX as biomarker of lung cancer
    • Tumor-derived DNA and RNA markers in blood
    • Volatile organic compounds in the exhaled breath
    • Malignant pleural mesothelioma
    • Melanoma biomarkers
    • Nasopharyngeal carcinoma biomarkers
    • Oral cancer biomarkers
    • Ovarian cancer biomarkers
    • Mutation of genes
    • Serum CA-125 as biomarker of ovarian cancer prognosis
    • Serum albumin-associated peptides and proteins
    • Serum lysophosphatidic acids as biomarkers of ovarian cancer
    • Biomarker protein pattern analysis
    • Epitomics approach for ovarian cancer biomarkers in serum
    • Multimarker panel of ovarian cancer biomarkers
    • Concluding remarks on testing for ovarian cancer
    • Pancreatic cancer biomarkers
    • Prostate cancer
    • PSA as biomarker of prostate cancer
    • PSMA as biomarker of prostate cancer
    • Serum HAAH as biomarker of prostate cancer
    • Microarray for diagnosis of prostate cancer
    • Loss of p27 as predictor of recurrence of prostate cancer
    • Silenced CDH13 gene as a biomarker of cancer
    • LCM for diagnosis of prostate cancer
    • Identification of prostate cancer mRNA biomarkers
    • miRNA biomarkers of prostate cancer
    • Prostate cancer biomarkers in semen
    • Id proteins expression in prostate cancer
    • Serum-protein fingerprinting
    • Detection of prostate cancer biomarkers in urine
    • Genetic biomarkers of prostate cancer
    • Tests for prostate cancer based on genetic dislocations
    • Detection of prostatic intraepithelial neoplasia
    • B7-H3 as biomarker of prostate cancer
    • Integrative genomic and proteomic profiling of prostate cancer
    • Renal cancer biomarkers
    • Gene expression profile of RCC for biomarkers
    • Use of proteomics for detection of RCC biomarkers
    • Use of RCC biomarkers for prognosis and therapy
    • Thyroid cancer biomarkers
    • Gene expression biomarkers of thyroid cancer
    • miRNA biomarkers of thyroid cancer
    • Biochemical biomarkers of thyroid cancer
    • Role of the NCI in molecular diagnosis of cancer
    • The Cancer Genome Anatomy Project
    • Molecular profiling of cancer
    • Cancer Genome Atlas
    • Cancer Genetic Markers of Susceptibility Project
    • Oncology Biomarker Qualification Initiative
    • Role of NCI in cancer biomarker development and validation
    • COBRED project for cancer biomarker research in Europe
    • Future prospects for cancer biomarkers
    • Cancer biomarker research at academic institutions
    • Future prospects and challenges in the discovery of cancer biomarkers
  • 7. Biomarkers of Disorders of the Nervous System
    • Introduction
    • Discovery of biomarkers for neurological disorders
    • Biomarker identification in the CSF using proteomics
    • Biomarker identification in the CSF using lipidomics
    • Cerebral microdialysis for the study of biomarkers of cerebral metabolism
    • Detection of protein biomarkers of CNS disorders in the blood
    • Brain imaging for detection of biomarkers
    • Data mining for biomarkers of neurological disorders
    • Antibodies as biomarkers in disorders of the nervous system
    • Biomarkers of disruption of blood-brain barrier
    • Biomarkers of neurotoxicity
    • Glial fibrillary acidic protein as biomarker of neurotoxicity
    • Biomarkers of neurodegenerative disorders
    • Biomarkers of Alzheimer's disease
    • The ideal biomarker for AD
    • Protein biomarkers of AD in CSF
    • Amyloid precursor protein
    • Tau proteins in CSF
    • Tests for the detection of A in CSF
    • Monitoring of synthesis and clearance rates of A in the CSF
    • Tests combining CSF tau and A
    • CSF sulfatide as a biomarker for AD
    • Glycerophosphocholine as CSF biomarker in AD
    • CSF Reelin as biomarker of AD
    • Urine tests for AD
    • Blood tests for AD
    • Protein kinase C in red blood cells
    • Detection of aggregated misfolded proteins in the blood
    • Lymphocyte Proliferation Test
    • Blood test for detection of amyloid plaques in brain
    • A biomarker-based skin test for AD
    • Radioiodinated clioquinol as a biomarker for A
    • Nanotechnology to measure amyloid-derived diffusible ligands
    • Simultaneous measurement of several biomarkers for AD
    • Use of biomarkers to predict AD in patients with MCI
    • Genetic tests for AD
    • Magnetic resonance spectroscopy in AD
    • MRI for biomarkers of AD
    • PET scanning for biomarkers of AD
    • Targeting of chemokine receptor as biomarker for brain imaging
    • Concluding remarks about biomarkers for AD
    • Biomarkers of Parkinson's disease
    • Radiotracer biomarkers of PD
    • Metabolic brain networks as biomarkers
    • Molecular markers of PD based on gene expression in blood
    • Future prospects for biomarkers of PD
    • Biomarkers of Huntington's disease
    • Biomarkers of ALS
    • Biomarkers of dementia in HIV-1-infected patients
    • Biomarkers of amyotrophic lateral sclerosis
    • Future perspectives of study of biomarkers of neurodegenerative disorders
    • Biomarkers of multiple sclerosis
    • Antibodies in multiple sclerosis
    • Antibodies to galactocerebroside
    • Antibodies to myelin oligodendrocyte glycoprotein
    • Detecting autoantibodies in multiple sclerosis
    • CSF Cystatin C as a biomarker of multiple sclerosis
    • T cells as biomarkers of multiple sclerosis
    • Matrix metalloproteinases as biomarkers in multiple sclerosis
    • Gelsolin as a biomarker of multiple sclerosis
    • Gene expression profiling of biomarkers in multiple sclerosis
    • Serum proteomic pattern analysis in multiple sclerosis
    • Biomarkers of remyelination and repair
    • Myelin imaging by PET
    • Future perspective of studies for biomarkers of multiple sclerosis
    • Biomarkers of stroke
    • Biomarkers of stroke
    • Lipoprotein-associated phospholipase A2 as biomarker for stroke
    • Neuroserpin polymorphisms as a biomarker of stroke
    • Nucleosomes as biomarkers of stroke
    • Intercellular adhesion molecule 1 as biomarker of ischemic stroke
    • PARK7 and nucleoside diphosphate kinase A as biomarkers of stroke
    • Visinen-like protein 1
    • Gene expression in blood following ischemic stroke
    • Future prospects for biomarkers of stroke
    • Biomarkers of traumatic brain injury
    • Technologies for identification of biomarkers of TBI
    • Proteomic technologies for biomarkers of TBI
    • Cerebral microdialysis for study of biomarkers of TBI
    • Biomarkers of TBI
    • C-tau as biomarker of TBI
    • Hyperphosphorylated axonal neurofilament protein
    • Serum S100B as biomarker of TBI
    • Biomarkers of inflicted TBI in infants
    • Biomarkers of hypoxic brain damage
    • Biomarkers of CNS infections
    • Biomarkers of CNS HIV infection
    • Biomarkers of bacterial meningitis
    • Biomarkers of epilepsy
    • Genetic epilepsies
    • Biochemical markers of epilepsy
    • Imaging biomarkers of epilepsy
    • Biomarkers of normal pressure hydrocephalus
    • Biomarkers of retinal disorders
    • Biomarkers of age-related macular degeneration
    • Biomarkers for autism
    • Biomarkers of sleep disorders
    • Biomarker of excessive daytime sleepiness
    • Biomarkers of obstructive sleep apnea
    • Biomarkers of restless legs syndrome
    • Biomarkers of psychiatric disorders
    • Biomarkers of depression
    • Biomarkers of psychosis
    • Biomarkers of schizophrenia
    • Genetic biomarkers of schizophrenia
    • Proteomic studies for biomarkers of schizophrenia
    • Metabolic biomarkers of schizophrenia
  • 8. Biomarkers of Cardiovascular Disorders
    • Introduction
    • Epidemiology of cardiovascular disease
    • Molecular diagnosis of cardiovascular disorders
    • Biomarkers of cardiovascular diseases
    • Methods for identification of cardiovascular biomarkers
    • Application of proteomics for biomarkers of cardiovascular disease
    • Metabolomic technologies for biomarkers of myocardial ischemia
    • Applications of biomarkers of cardiovascular disease
    • Biomarkers for ischemic heart disease
    • Troponin
    • Natriuretic peptide
    • Creatine kinase muscle brain
    • Myoglobin
    • Fatty acid binding protein
    • Biomarkers of congestive heart failure
    • NT ProBNP as biomarker of CHF
    • Galectin-3 as biomarker of acute heart failure
    • G protein-coupled receptor kinase-2 as biomarker of CHF
    • Oxidative stress as biomarker of heart failure
    • beta-2a protein as a biomarker of heart failure
    • Biomarkers for atherosclerosis
    • Inflammatory biomarkers of atherosclerosis
    • Proteomic profiles of serum inflammatory markers of atherosclerosis
    • Adipocyte enhancer-binding protein 1
    • Lipid-modified proteins as biomarkers of atherosclerosis
    • Lp-PLA2 as biomarker of atherosclerotic heart disease
    • Oxygen free radicals as biomarkers of atherosclerosis
    • Nitric oxide impairment and atherosclerosis
    • Ghrelin as a biomarker of atherosclerosis
    • Biomarkers of risk factors for coronary heart disease
    • Apolipoproteins as risk factors for coronary heart disease
    • CRP as biomarker of risk for coronary heart disease
    • Antibody to oxidized-LDL
    • Biomarkers for pulmonary arterial hypertension
    • Genetic biomarkers for cardiovascular disease
    • Genetic biomarkers of atherosclerosis
    • IL-1 gene polymorphism as biomarker of cardiovascular disease
    • Polymorphisms of the eNOS gene and angina pectoris
    • Polymorphisms in the apolipoprotein E gene
    • Mutations in the low density lipoprotein receptor gene
    • Mutations within several genes that code for ion channel
    • Polymorphism in the angiotensinogen gene
    • Kallikrein gene mutations in cardiovascular disease
    • Kallikrein gene and essential hypertension
    • Gene mutations in pulmonary arterial hypertension
    • Genetic biomarkers of early onset myocardial infarction
    • Gene variant as a risk factor for sudden cardiac death
    • Role of biomarkers in the management of cardiovascular disease
    • Role of biomarkers in the diagnosis of myocardial infarction
    • Role of biomarkers in the prevention of cardiovascular disease
    • Molecular signature analysis in management of cardiovascular diseases
    • C-reactive protein as biomarker of response to statin therapy
    • Role of circulating biomarkers and mediators of cardiovascular dysfunction
    • Use of biomarkers in the management of peripheral arterial disease
    • Use of biomarkers in the management of hypertension
    • Use of protein biomarkers for monitoring acute coronary syndromes
    • Use of multiple biomarkers for monitoring of cardiovascular disease
    • Future prospects for cardiovascular biomarkers
    • Cardiovascular Biomarker Consortium
  • 9. Biomarkers & Personalized Medicine
    • Introduction
    • Pharmacogenetics
    • Biomarkers and pharmacogenetics
    • Pharmacogenomics
    • Pharmacoproteomics
    • Single cell proteomics for personalized medicine
    • Role of biomarkers in development of personalized drugs
    • Use of biomarkers for developing MAb therapy in oncology
    • Biobanking, biomarkers and personalized medicine in EU
    • Expression signatures as diagnostic/prognostic tools
    • Biomarkers for monitoring response to therapy
    • Drug rescue by biomarker-based personalized medicine
    • Future role of biomarkers in personalized medicine
  • 10. Regulatory issues
    • Introduction
    • Biomarker validation
    • FDA criteria for a valid biomarker
    • Role of NIST in validation of cancer biomarkers
    • Quality specifications for BNP and NT-proBNP as cardiac biomarker assays
    • FDA perspective of biomarkers in clinical trials
    • FDA and predictive medicine
    • Biomarkers and FDA's Voluntary Genomic Data Submission
    • Role of imaging biomarkers in approval of drugs
    • FDA Critical Path Initiative and biomarker R&D
    • FDA consortium linking genetic biomarkers to serious adverse events
    • Oncology Biomarker Qualification Initiative
    • Critical Path Initiative
    • Predictive Safety Testing Consortium
    • From validated biomarker assay to a clinical laboratory diagnostic
    • Fast Path programs
    • Need for a single federal agency to oversee biomarker field
  • 11. Markets for Biomarkers
    • Introduction
    • Biomarker markets according to technologies/applications
    • Markets for protein biomarkers
    • Biomarker market relevant to drug discovery and development
    • Biomarket market relevant to bioinformatics
    • Biomarker markets according to therapeutic areas
    • Geographical distribution of biomarker markets
    • Unfulfilled needs in biomarkers
    • Drivers for the growth of markets for biomarkers
    • Challenges facing the biomarker industry
    • Pitfalls in the discovery and development of biomarkers
    • Strategies for developing biomarker markets
    • Utilization of biomarker research in academic laboratories
    • Biomarker discovery at pharmaceutical companies
    • Industrial-academic collaborations in biomarkers
    • Application of biomarkers in medical practice
    • Future role of biomarkers in healthcare
    • Applications of biomarkers beyond healthcare
    • Combating bioterrorism
    • Biomarkers for monitoring human exposure to environmental toxins
    • Application of biomarkers in animal health
    • Biomarker patents
    • Factors that enhance the value of biomarker IP
  • 12. References
  • Tables
    • Table 1 1: Historical landmarks in discovery and development of biomarkers
    • Table 1 2: Classification of biomarkers
    • Table 1 3: Autoimmune disorders under study for autoantibodies as predictors
    • Table 1 4: Use of "-omic" technologies for discovery of biomarkers
    • Table 2 1: Classification of methods of gene expression analysis
    • Table 2 2: Comparison of proteomic profiling technologies for discovery of biomarkers
    • Table 2 3: Companies involved in developing molecular imaging
    • Table 3 1: Applications of biochip/microarray technology in relation to biomarkers
    • Table 4 1: Companies using metabolomics for drug discovery
    • Table 4 2: Causes of failures in clinical trials and their reduction by use of biomarkers
    • Table 4 3: Biomarker-based drug development at major pharmaceutical companies
    • Table 5 1: Biomarkers of diabetes mellitus
    • Table 5 2: Biomarkers of sepsis
    • Table 5 3: Biomarkers of pulmonary diseases
    • Table 5 4: Biomarkers of aging
    • Table 6 1: Types of cancer biomarkers
    • Table 6 2: A classification of molecular diagnostic methods in cancer
    • Table 6 3: Desirable characteristics of biomarkers for cancer
    • Table 6 4: Biomarkers of breast cancer
    • Table 6 5: Biomarkers of brain tumors
    • Table 6 6: Biomarkers of lung cancer
    • Table 6 7: Biomarkers of nasopharyngeal carcinoma and potential applications
    • Table 6 8: Biomarkers of ovarian cancer
    • Table 6 9: Biomarkers of prostate cancer
    • Table 7 1: Biomarkers of cerebral metabolism
    • Table 7 2: Classification of biochemical markers of AD in blood and CSF
    • Table 7 3: Characteristics of an ideal biomarker for Alzheimer disease
    • Table 7 4: Biomarkers of Parkinson's disease
    • Table 7 5: Biomarkers of multiple sclerosis
    • Table 7 6: Biomarkers of stroke
    • Table 7 7: Biomarkers of traumatic brain injury
    • Table 7 8: Biomarkers of epilepsy
    • Table 8 1: Genes that cause cardiovascular diseases
    • Table 8 2: Classification of biomarkers for cardiovascular diseases
    • Table 9 1: Pharmacogenetic vs. pharmacogenomic studies
    • Table 9 2: Applications of pharmacoproteomic biomarkers in personalized medicine
    • Table 11 1: Biomarker markets according to technologies/applications 2007-2017
    • Table 11 2: Biomarker markets according to therapeutic areas 2007-2017
    • Table 11 3: Geographical distribution of biomarker markets 2007-2017
    • Table 11 4: Factors driving the growth of biomarker industry
  • Figures
    • Figure 1 1: Relation of biomarkers to other technologies and healthcare
    • Figure 2 1: The central role of spectrometry in proteomics
    • Figure 4 1: Role of biomarkers in drug discovery and development process
    • Figure 6 1: Cancer biomarker development and validation
    • Figure 7 1: Discovery and application of biomarkers in neurological diseases
    • Figure 9 1: Role of pharmacogenetic biomarkers in personalized medicine
    • Figure 9 2: Impact of biomarkers on personalized medicine
    • Figure 10 1: Biomarker qualification pilot process at the FDA
    • Figure 10 2: From a validated biomarker assay to a clinical laboratory diagnostic
    • Figure 11 1: Unfulfilled needs in biomarkers technologies and applications"