Companion Diagnostics in Personalized Medicine and Cancer Therapy

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Publication Date: 2008-04-02

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A near-term market opportunity for cancer companion diagnostic tests exists in drug selection for cancer therapy. Co-development of molecular diagnostics and targeted therapeutics has already been proven to be a successful strategy in the development of novel anti-cancer drugs.

Adoption of biomarker development in clinical research provides great opportunities to identify patient subpopulations with differential drug responses and to uncover the underlying mechanisms. These data could help to explain if clinical trials of new drugs are adequate, and offer the possibility of creating a clear prescription path based on predictive biomarkers.

The purpose of this report is to describe the specific segment of the diagnostics market that develops new technology platforms for evaluating the metabolism of therapeutic agents, or for evaluating which therapeutic regimes are most effective for a particular type of disease. The term companion diagnostic means that the particular diagnostic test under evaluation is specifically linked to a known therapeutic drug. This linkage could be important in the therapeutic application and clinical outcome of a drug (personalized medicine), or an important component of the drug development process. This report focuses on the former linkage, i.e., the use of companion diagnostic tests in personalized medicine.

Table of Contents

 

  • Appendix 1: FDA Guidance for Industry: Pharmacogenomic Data Submission (March 2005)177

  • Appendix 2: Histochemical Markers for Cancer189


  • LIST OF TABLES

  • Table 2.1: Timeline for Development of Companion Diagnostics14
  • Table 2.2: Personalized Medicine at the Nexus Point15
  • Table 2.3: Percentage of Non-Responders in Various Drug Classes16
  • Table 2.4: High-Profile Drug Withdrawals from the Marketplace16
  • Table 2.5: Metabolism of Drugs by Hepatic Enzymes18
  • Table 2.6: Drug Metabolism Drives Drug Efficacy/Toxicity21
  • Table 2.7: Population Frequency of the Various Cytochromes21
  • Table 2.8: Selected List of Personalized Medicine Tests23
  • Table 2.9: Personalized Medicine Product Pipeline25
  • Table 2.10: Marketed Personalized Therapies in 200626
  • Table 2.11: Typical Response Rates in Therapeutic Areas33
  • Table 2.12: Prevalence of People Taking Medications Metabolized by Liver Enzymes34
  • Table 2.13: UGT1A1 Helps to Determine Risks Associated with Irinotecan34
  • Table 2.14: Current Product Labels: Enzyme Metabolism35
  • Table 3.1: Timeline for Impact of Various Molecular Diagnostics Technologies on Personalized Medicine43
  • Table 3.2: Impact of Molecular Diagnostics Technologies on Therapeutic Areas in Personalized Medicine43
  • Table 3.3: Challenges of Various Molecular Diagnostics Technology Platforms in Personalized Medicine44
  • Table 3.4: FDA Classification of Diagnostics by Risk46
  • Table 4.1: Personalized Medicine Industry SWOT Analysis49
  • Table 4.2: Market Opportunities in Personalized Medicine51
  • Table 4.3: Challenges for Market Adoption of Various Personalized Medicine Tests52
  • Table 4.4: Hurdles to Personalized Medicine and Companion Diagnostics Development53
  • Table 4.5: Timeline of Impact in Areas of Personalized Medicine54
  • Table 4.6: Impact of Personalized Medicine on Various Therapeutic Areas55
  • Table 5.1: Potential Benefits of Biomarkers as Companion Diagnostics59
  • Table 5.2: Utility of Biomarker as Companion Diagnostics to Drug Development59
  • Table 5.3: ASCO-CAP Guidelines for HER2 Testing in Breast Cancer: How to Interpret Test Results63
  • Table 5.4: Device Submission Elements for the FDA71
  • Table 6.1: List and Discounted Prices for Abbott Tumor Marker Tests79
  • Table 6.2: Medicare Spending on Clinical Lab Services, 1996 to 2005103
  • Table 6.3: Hospital Laboratory Share of Part B Medicare Spending, 1996 to 2005104
  • Table 6.4: Medicare Part B Lab Spending Per Medicare Enrollee, 1998 to 2005104
  • Table 6.5: Summary of Biomarker Use in the Commercialization of Novel Oncology Pharmacotherapeutics108
  • Table 6.6: Pharmacoeconomic Challenges to the Implementation of Biomarkers as Companion Diagnostic Tests108
  • Table 7.1: Major Players in Companion Diagnostic Sector109
  • Table 7.2: Tumor Diagnosis Immunoassay142
  • Table 7.3: Tumor Diagnosis Radioimmunoassay143
  • Table 7.4: Summary of Matritech\'s Product Development Programs159


  • LIST OF FIGURES

  • Figure 2.1: Personalizing Drug Treatment13
  • Figure 2.2: Approaches to Personalized Medicine14
  • Figure 2.3: The Phase I and II Processes of Drug Metabolism17
  • Figure 2.4: Hepatic Distribution of Human CYP45018
  • Figure 2.5: Relative Contribution of CYP450 Enzymes to Drug Metabolism19
  • Figure 2.6: Genetic Components Determine Drug Metabolism19
  • Figure 2.7: Personalized Medicine Drugs in Development24
  • Figure 3.1: From Genetic Content to Personalized Medicine39
  • Figure 3.2: Impact of Diagnostic Testing on Healthcare Decision Making39
  • Figure 3.3: Impact of Diagnostic Testing on Healthcare Spending40
  • Figure 3.4: Breakout of the Molecular Diagnostics Marketplace by Country40
  • Figure 3.5: Breakout of the Molecular Diagnostics Marketplace by Vendor41
  • Figure 3.6: Molecular Diagnostics Market Segmentation42
  • Figure 3.7: Molecular Diagnostics Market Segmentation by Technology42
  • Figure 3.8: Market Survey Respondent Demographics46
  • Figure 3.9: Breakout of the Respondent Pool by Affiliation47
  • Figure 3.10: Segmentation of the Personalized Medicine Market47
  • Figure 4.1: Personalized Medicine Market Drivers50
  • Figure 4.2: Challenges in the Personalized Medicine Space50
  • Figure 5.1: Carcinogenesis Is a Multi-Step Process57
  • Figure 5.2: ASCO-CAP Guidelines for HER2 Testing in Breast Cancer: Equivocal Results with IHC64
  • Figure 5.3: ASCO-CAP Guidelines for HER2 Testing in Breast Cancer: Results by FISH64
  • Figure 5.4: MGMT Methylation Status Correlates to Survival Rate74
  • Figure 6.1: Part B Spending on Clinical Lab Services, 1991 to 2005103
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