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BIOMARKER
Chandra shekhar
Sreekanth
INTRODUCTION
    “A biomarker is a characteristic that is objectively measured and
    evaluated as an indicator of normal biological processes, pathogenic
    processes, or pharmacologic responses to a therapeutic intervention.”
    — US National Institutes of Health
     “A biomarker is a substance used as an indicator of a biologic state. It
    is a characteristic that is objectively measured and evaluated as an
    indicator of normal biologic processes, pathogenic processes, or
    pharmacologic responses to a therapeutic intervention.”—Wikipedia
    Biomarkers make take the form of cellular characteristics, metabolites
    (e.g. sugars, lipids and hormones), molecular variations, or physical
    features (e.g., clinical symptoms) and are assessed accordingly, via
    measurement, annotation, documents, and images.
    Increasingly, the discovery of novel biomarkers is closely associated
    with the advances in molecular biology techniques that can be accessed
    through analysis of DNA, RNA or proteins.
INTRODUCTION(CONT)
• Clinical end point : A characteristic or variable that reflects how a
   patient feels, functions or survives
• Surrogate Endpoint: A biomarker intended to substitute for a
  clinical endpoint. A surrogate endpoint is expected to predict
  clinical benefit (or harm, or lack of benefit) based on
  epidemiologic, therapeutic, pathophysiologic or other scientific
  evidence
INTRODUCTION(CONT)
We can discriminate four main types of molecular biomarkers:
• Genomic biomarkers: based on the analysis of DNA
   (deoxyribonucleic acid) profiles, especially the analysis of SNPs
   (single nucleotide polymorphisms), i.e. identification of punctual
   variations in genomic DNA.
• Transcriptomic biomarkers: based on the analysis of RNA
  expression profiles.
• Proteomic biomarkers: based on the analysis of the protein
   profiles.
• Metabolomic biomarkers: based on the analysis of metabolites
   (metabolites are the intermediates and products of metabolism).
USE OF BIOMARKERS IN CLINICAL
MEDICINE
• Diagnosis
• Tool for staging disease
• Indicator of disease status
• Predict and/or monitor clinical response to an intervention
EXAMPLES OF BIOMARKERS IN CLINICAL
MEDICINE
 • Electrocardiogram
• PET brain image
• Serum chemistries
• Auto-antigens in blood
• Bone densitometric measurement
• Pulmonary function test
• Neonatal Apgar score
USE OF BIOMARKERS IN EARLY DRUG
DEVELOPMENT AND DECISION MAKING
• Evaluate activity in animal models
• Bridge animal and human pharmacology via proof-of-
   mechanism or other observations
• Evaluate safety in animal models
• Evaluate human safety early in development
EXAMPLES OF BIOMARKERS IN EARLY DRUG
DEVELOPMENT
• Serum chemistries
• Cell surface protein expression
• Drug pharmacokinetic measurements
• Drug metabolizing isoenzyme phenotype
• Serum transaminases
• Genomic expression profile
• Drug distribution or receptor occupancy via imaging
USE OF BIOMARKERS IN LATER DRUG
DEVELOPMENT AND DECISION MAKING
   Evaluate dose-response and optimal regimen for desired
    pharmacologic effect
   Use safety markers to determine dose-response for toxicity
   Determine role (if any) of differences in metabolism on above
BIOMARKERS IN LATER CLINICAL
DEVELOPMENT
   Psychometric testing
   Pain scales
   Imaging studies
   Culture status (antimicrobials)
    Pulmonary function tests
   Serum chemistries
   Electrocardiogram
SELECTED COMPANIES WORKING IN
BIOMARKER-RELATED DRUG AND R&D
  Affymetrix, Inc.
   Agendia B.V.
   Agilent Technologies, Inc., LSCA group
   Applied Biosystems
   BioSite, Inc.
   Caliper Life Sciences, Inc.
   Celera Group
   Cepheid
   CombiMatrix Corp (Acacia Research)
   Dako A/S
   diaDexus, Inc.
   Epigenomics AG
   Fluidigm Corporation
   Gene Logic, Inc.
   NimbleGen Systems, Inc.
   Nymox Pharmaceutical Corporation
   Orion Genomics LLC
   Qiagen NV
   Roche Molecular Diagnostics
   GVK-BIO
ONLINE BIOMARKER DATABASE
    GVK BIO Online Biomarker Database (GOBIOM) is a
    comprehensive biomarker database that provides
    information on
    Biochemical, Genomic, Imaging, Metabolite, Clinical
    Scoring scales and Cellular markers for 16 different
    therapeutic areas with its reported utilities like
    diagnosis, prognosis, monitoring disease
    progression, treatment response, surrogate, efficacy and
    toxicity. i.e it gives complete information with respect
    to a marker’s preclinical, clinical and analytical
    qualifications with every data point hyperlinked to a
    valid reference.
THANK YOU

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Biomarker Discovery and Clinical Applications

  • 2. INTRODUCTION  “A biomarker is a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention.” — US National Institutes of Health  “A biomarker is a substance used as an indicator of a biologic state. It is a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention.”—Wikipedia  Biomarkers make take the form of cellular characteristics, metabolites (e.g. sugars, lipids and hormones), molecular variations, or physical features (e.g., clinical symptoms) and are assessed accordingly, via measurement, annotation, documents, and images.  Increasingly, the discovery of novel biomarkers is closely associated with the advances in molecular biology techniques that can be accessed through analysis of DNA, RNA or proteins.
  • 3. INTRODUCTION(CONT) • Clinical end point : A characteristic or variable that reflects how a patient feels, functions or survives • Surrogate Endpoint: A biomarker intended to substitute for a clinical endpoint. A surrogate endpoint is expected to predict clinical benefit (or harm, or lack of benefit) based on epidemiologic, therapeutic, pathophysiologic or other scientific evidence
  • 4. INTRODUCTION(CONT) We can discriminate four main types of molecular biomarkers: • Genomic biomarkers: based on the analysis of DNA (deoxyribonucleic acid) profiles, especially the analysis of SNPs (single nucleotide polymorphisms), i.e. identification of punctual variations in genomic DNA. • Transcriptomic biomarkers: based on the analysis of RNA expression profiles. • Proteomic biomarkers: based on the analysis of the protein profiles. • Metabolomic biomarkers: based on the analysis of metabolites (metabolites are the intermediates and products of metabolism).
  • 5.
  • 6. USE OF BIOMARKERS IN CLINICAL MEDICINE • Diagnosis • Tool for staging disease • Indicator of disease status • Predict and/or monitor clinical response to an intervention
  • 7. EXAMPLES OF BIOMARKERS IN CLINICAL MEDICINE • Electrocardiogram • PET brain image • Serum chemistries • Auto-antigens in blood • Bone densitometric measurement • Pulmonary function test • Neonatal Apgar score
  • 8. USE OF BIOMARKERS IN EARLY DRUG DEVELOPMENT AND DECISION MAKING • Evaluate activity in animal models • Bridge animal and human pharmacology via proof-of- mechanism or other observations • Evaluate safety in animal models • Evaluate human safety early in development
  • 9. EXAMPLES OF BIOMARKERS IN EARLY DRUG DEVELOPMENT • Serum chemistries • Cell surface protein expression • Drug pharmacokinetic measurements • Drug metabolizing isoenzyme phenotype • Serum transaminases • Genomic expression profile • Drug distribution or receptor occupancy via imaging
  • 10. USE OF BIOMARKERS IN LATER DRUG DEVELOPMENT AND DECISION MAKING  Evaluate dose-response and optimal regimen for desired pharmacologic effect  Use safety markers to determine dose-response for toxicity  Determine role (if any) of differences in metabolism on above
  • 11. BIOMARKERS IN LATER CLINICAL DEVELOPMENT  Psychometric testing  Pain scales  Imaging studies  Culture status (antimicrobials)  Pulmonary function tests  Serum chemistries  Electrocardiogram
  • 12. SELECTED COMPANIES WORKING IN BIOMARKER-RELATED DRUG AND R&D Affymetrix, Inc. Agendia B.V. Agilent Technologies, Inc., LSCA group Applied Biosystems BioSite, Inc. Caliper Life Sciences, Inc. Celera Group Cepheid CombiMatrix Corp (Acacia Research) Dako A/S diaDexus, Inc. Epigenomics AG Fluidigm Corporation Gene Logic, Inc. NimbleGen Systems, Inc. Nymox Pharmaceutical Corporation Orion Genomics LLC Qiagen NV Roche Molecular Diagnostics GVK-BIO
  • 13. ONLINE BIOMARKER DATABASE  GVK BIO Online Biomarker Database (GOBIOM) is a comprehensive biomarker database that provides information on Biochemical, Genomic, Imaging, Metabolite, Clinical Scoring scales and Cellular markers for 16 different therapeutic areas with its reported utilities like diagnosis, prognosis, monitoring disease progression, treatment response, surrogate, efficacy and toxicity. i.e it gives complete information with respect to a marker’s preclinical, clinical and analytical qualifications with every data point hyperlinked to a valid reference.