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½ÃÀ庸°í¼­

Competitive Outlook on Lung Cancer Drug Development

¸®¼­Ä¡»ç BioSeeker Group AB
¹ßÇàÀÏ 2009³â 08¿ù »óǰÄÚµå 99264
ÆäÀÌÁö Á¤º¸ 767 pages
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US $ 3,675 £Ü 4,378,700 PDF by E-mail (Single User License)


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Abstract

Executive Summary

This report includes defined and up to date development strategies for 283 lung cancer therapeutic drugs (>317 projects) within the portfolio of 167 investigators, from Ceased to Marketed. In total the report assesses three different sub-indications of lung cancer (Non-Small Cell Lung Cancer, Small Cell Lung Cancer and Lung Cancer (general). The report is written for you to understand and assess the impact of competitor entry and corresponding changes to development strategies for your own portfolio products. It serves as an external commercial advocate for pharmaceutical companies' portfolio planning and new product planning by:

  • Providing you with competitive input to the R&D organization to guide development of early product ideas and ensure efforts are aligned with business objectives
  • Assisting you to make informed decisions in selecting lung cancer sub-indications that are known to be appropriate for your drug' s properties
  • Analyzing, correlating and integrating valuable data sources in order to provide accurate data for valuation of pipeline, in-licensing and new business opportunities
  • Providing you with commercial analytic support for due diligence on in-licensing and acquisition opportunities
  • Integrating knowledge for you to consider the therapeutic target for the highest therapeutic outcome and return on investment

This report will also be an important part of creating and implementing a market development plan for any lung cancer therapeutic drugs to ensure that the optimal market conditions exist by the time the product is commercialized.

Table of Contents

1 Executive Summary

2 About Cancer Highlights

3 Methodologies

4 Table of Contents

  • 4.1 List of Figures
  • 4.2 List of Tables

5 Introduction

  • 5.1 The Scope of this Report
  • 5.2 Definitions
  • 5.3 Abbreviations

6 Consider the Therapeutic Target for the Highest Therapeutic Outcome and Investment

  • 6.1 Drug Repositioning in Oncology
  • 6.2 Introduction to Lung Cancer Drug Targets
    • 6.2.1 Carboxy-lyase Activity Targets
    • 6.2.2 Catalytic ActivityTargets
    • 6.2.3 Cell Adhesion Molecule Activity Targets
    • 6.2.4 Chaperone ActivityTargets
    • 6.2.5 Chemokine Activity Targets
    • 6.2.6 Complement Activity Targets
    • 6.2.7 Cysteine-Type Peptidase Activity Targets
    • 6.2.8 Cytokine Activity Targets
    • 6.2.9 DNA Binding Targets
    • 6.2.10 DNA Repair Protein Targets
    • 6.2.11 DNA Topoisomerase Activity Targets
    • 6.2.12 DNA-Directed DNA Polymerase Activity Targets
    • 6.2.13 DNA-methyltransferase Activity Targets
    • 6.2.14 Extracellular Ligand-Gated Ion Channel Activity Targets
    • 6.2.15 Extracellular Matrix Structural Constituent Targets
    • 6.2.16 G-protein Coupled Receptor Activity Targets
    • 6.2.17 Glutathione Transferase Activity Targets
    • 6.2.18 Growth Factor Activity Targets
    • 6.2.19 GTPase Activity Targets
    • 6.2.20 Hormone activity Targets
    • 6.2.21 Hydrolase Activity Targets
    • 6.2.22 Ion channel Activity Targets
    • 6.2.23 Kinase Activity Targets
    • 6.2.24 Kinase regulator activity Targets
    • 6.2.25 Ligase Activity Targets
    • 6.2.26 Lipase Activity Targets
    • 6.2.27 Lipid Kinase Activity Targets
    • 6.2.28 Metallopeptidase Activity Targets
    • 6.2.29 Molecular Function Unknown Targets
    • 6.2.30 Motor Activity Targets
    • 6.2.31 Oxidoreductase Activity Targets
    • 6.2.32 Peptidase Activity Targets
    • 6.2.33 Peroxidase Activity Targets
    • 6.2.34 Phosphoric Diester Hydrolase Activity Targets
    • 6.2.35 Protein binding Targets
    • 6.2.36 Protein Serine/Threonine Kinase Activity Targets
    • 6.2.37 Protein Threonine/Tyrosine Kinase Activity Targets
    • 6.2.38 Protein Tyrosine/Serine/Threonine Phosphatase Activity Targets
    • 6.2.39 Protein-Tyrosine Kinase Activity Targets
    • 6.2.40 Receptor Activity Targets
    • 6.2.41 Receptor binding Targets
    • 6.2.42 Receptor Signaling Complex Scaffold Activity Targets
    • 6.2.43 Receptor Signaling Protein Serine/Threonine Kinase Activity Targets
    • 6.2.44 RNA Binding Targets
    • 6.2.45 RNA-Directed DNA Polymerase Activity Targets
    • 6.2.46 Serine-Type Peptidase Activity Targets
    • 6.2.47 Structural Constituent of Cytoskeleton Targets
    • 6.2.48 Transcription Factor Activity Targets
    • 6.2.49 Transcription Regulator Activity Targets
    • 6.2.50 Transcription Regulator Activity Targets
    • 6.2.51 Transferase Activity Targets
    • 6.2.52 Transmembrane Receptor Activity Targets
    • 6.2.53 Transmembrane Receptor Protein Tyrosine Kinase Activity Targets
    • 6.2.54 Transporter Activity Targets
    • 6.2.55 Ubiquitin-Specific Protease Activity Targets
    • 6.2.56 Other Targets
  • 6.3 The Cancer Genome Project and Lung Cancer Targets
    • 6.3.1 Lung Cancer Targets Present in the Cancer Gene Census and in the Catalogue of Somatic Mutations in Cancer
  • 6.4 Structure-based Drug Design in Lung Cancer is Stimulated by Available Structure Data on Biological Targets
  • 6.5 Target-Target Interactions among Identified Lung Cancer Targets
  • 6.6 The Drug-Target Interactome
  • 6.7 Protein Expression Levels of Identified Drug Targets of Lung Cancer Drugs
  • 6.8 Pathway Analysis of Lung Cancer Drug Targets

7 The Rise of New Products: How Mature, Unique and Clinically Validated are the Drug Target Profiles Identified in the Lung Cancer Pipeline?

  • 7.1 Terminated Drug Target Profiles in Lung Cancer
  • 7.2 Pre-Registration to being Marketed: New and Unique Drug Target Profiles in the Lung Cancer Pipeline
  • 7.3 Phase III Clinical Development: New and Unique Drug Target Profiles in the Lung Cancer Pipeline
  • 7.4 Phase II Clinical Development: New and Unique Drug Target Profiles the Lung Cancer Pipeline
  • 7.5 Phase I Clinical Development: New and Unique Drug Target Profiles in the Lung Cancer Pipeline
  • 7.6 Preclinical Development: New and Unique Drug Target Profiles in the Lung Cancer Pipeline
  • 7.7 Development Profiles of All Lung Cancer Drug Target Profiles

8 Compound Strategies at Work: Competitive Benchmarking of Lung Cancer Pipeline Type of Compound

  • 8.1 Small Molecules
    • 8.1.1 Background
    • 8.1.2 Targets in Lung Cancer
  • 8.2 Peptide/Protein Drugs
    • 8.2.1 Background
    • 8.2.2 Targets in Lung Cancer
  • 8.3 Antibodies and Antibody-like Structures
    • 8.3.1 Background
    • 8.3.2 Targets in Lung Cancer
  • 8.4 Nucleic Acid Therapies
    • 8.4.1 Background
    • 8.4.2 Targets in Lung Cancer
  • 8.5 Gene Therapy
    • 8.5.1 Background
    • 8.5.2 Targets in Lung Cancer
  • 8.6 Drug Delivery and Nanotechnology
    • 8.6.1 Background
    • 8.6.2 Targets in Lung Cancer
  • 8.7 The Competition Through Close Mechanistic Approximation Among Drugs in Lung Cancer
  • 8.8 Compound Strategies based on Sub-Cellular Localization of Lung Cancer Drug Targets

9 Selecting a Sub-Indication of Lung Cancer for Drug Development

  • 9.1 Lung Cancer (general)
    • 9.1.1 Players and their Compared Pipeline
    • 9.1.2 Where is the Real Competition?
    • 9.1.3 How Successful are They in Their Targeting Strategy?
  • 9.2 Non-Small Cell Lung Cancer
    • 9.2.1 Players and their Compared Pipeline
    • 9.2.2 Where is the Real Competition?
    • 9.2.3 How Successful are They in Their Targeting Strategy?
  • 9.3 Small Cell Lung Cancer
    • 9.3.1 Players and their Compared Pipeline
    • 9.3.2 Where is the Real Competition?
    • 9.3.3 How Successful are They in Their Targeting Strategy?

10 Portfolio Planning: Competitive Benchmarking of Lung Cancer Pipeline by Investigator 10.1 Abbott

  • 10.2 Abraxis BioScience
  • 10.3 Active Biotech
  • 10.4 Adherex
  • 10.5 Advantagene
  • 10.6 AEgera
  • 10.7 Aeterna Zentaris
  • 10.8 Agennix
  • 10.9 Aida Pharmaceuticals
  • 10.10 Alchemia
  • 10.11 Alethia Biotherapeutics
  • 10.12 Allos Therapeutics
  • 10.13 Amgen
  • 10.14 Antisense Pharma
  • 10.15 Antisoma
  • 10.16 Anza Therapeutics
  • 10.17 ApopLogic Pharmaceuticals
  • 10.18 Archer Biosciences
  • 10.19 Ariad
  • 10.20 ArQule
  • 10.21 Array BioPharma
  • 10.22 Ascenta Therapeutics
  • 10.23 Astellas
  • 10.24 AstraZeneca
  • 10.25 Bayer
  • 10.26 Biogen Idec
  • 10.27 Biokine Therapeutics
  • 10.28 BioNumerik
  • 10.29 Boehringer Ingelheim
  • 10.30 Bristol-Myers Squibb
  • 10.31 BTG
  • 10.32 CanBas
  • 10.33 Celator Pharmaceuticals
  • 10.34 Cell Genesys
  • 10.35 Cell Therapeutics
  • 10.36 Celtic Pharma
  • 10.37 Center of Molecular Immunology
  • 10.38 Cephalon
  • 10.39 CG Therapeutics
  • 10.40 Chemokine Therapeutics
  • 10.41 Chong Kun Dang
  • 10.42 Clavis Pharma
  • 10.43 CLL Pharma
  • 10.44 Critical Outcome Technologies
  • 10.45 Cyclacel
  • 10.46 CytImmune Sciences
  • 10.47 Cytokinetics
  • 10.48 Dabur Pharma
  • 10.49 Daiichi Sankyo
  • 10.50 Dainippon Sumitomo Pharma
  • 10.51 Dara Biosciences
  • 10.52 Dendreon
  • 10.53 Dong-A
  • 10.54 Eisai
  • 10.55 Eli Lilly
  • 10.56 Endocyte
  • 10.57 EntreMed
  • 10.58 EpiCept
  • 10.59 Exelixis
  • 10.60 Galapagos
  • 10.61 Gemin X Pharmaceuticals
  • 10.62 Genentech
  • 10.63 Genmab
  • 10.64 Genta
  • 10.65 GenVec
  • 10.66 Genzyme
  • 10.67 Geron
  • 10.68 GlaxoSmithKline
  • 10.69 GlobeImmune
  • 10.70 GlycoGenesys
  • 10.71 Hana Biosciences
  • 10.72 Hoffmann-La Roche
  • 10.73 Human Genome Sciences
  • 10.74 Idera Pharmaceuticals
  • 10.75 ImClone Systems
  • 10.76 ImmunoCellular Therapeutics
  • 10.77 Immunocore
  • 10.78 ImmunoGen
  • 10.79 Immunomedics
  • 10.80 Incyte Corporation
  • 10.81 Infinity Pharmaceuticals
  • 10.82 Innovive
  • 10.83 Inovio
  • 10.84 Introgen Therapeutics
  • 10.85 Ipsen
  • 10.86 Isis Pharmaceuticals
  • 10.87 Jennerex Biotherapeutics
  • 10.88 Johnson & Johnson
  • 10.89 Kiadis
  • 10.90 Kyowa Hakko Kirin
  • 10.91 Lorus Therapeutics
  • 10.92 MacroGenics
  • 10.93 Medarex
  • 10.94 MediGene
  • 10.95 Medisyn Technologies
  • 10.96 Menarini
  • 10.97 Merck KGaA
  • 10.98 MethylGene
  • 10.99 Micromet
  • 10.100 Mirna Therapeutics
  • 10.101 MolMed
  • 10.102 Mologen
  • 10.103 Nektar Therapeutics
  • 10.104 NeoPharm
  • 10.105 Nerviano Medical Sciences
  • 10.106 Novacea
  • 10.107 Novartis
  • 10.108 OncoGenex Pharmaceuticals
  • 10.109 Oncothyreon
  • 10.110 OSI Pharmaceuticals
  • 10.111 OXiGENE
  • 10.112 PanaGin
  • 10.113 PBL Therapeutics
  • 10.114 PDL BioPharma
  • 10.115 Pfizer
  • 10.116 Pharmacyclics
  • 10.117 PharmaGap
  • 10.118 PharmaMar
  • 10.119 Pharmexa
  • 10.120 Pierre Fabre
  • 10.121 Pro-Pharmaceuticals
  • 10.122 Progen
  • 10.123 Protox Therapeutics
  • 10.124 Receptor BioLogix
  • 10.125 Regulon
  • 10.126 RESprotect
  • 10.127 Samyang
  • 10.128 Sanofi-Aventis
  • 10.129 Sareum
  • 10.130 Schering-Plough
  • 10.131 Seattle Genetics
  • 10.132 ShimodaAtlantic Oncology
  • 10.133 Shire
  • 10.134 Sigma-Tau
  • 10.135 Simcere Pharmaceuticals
  • 10.136 SRI International
  • 10.137 SuperGen
  • 10.138 Supratek Pharma
  • 10.139 Switch Pharma
  • 10.140 Taiho
  • 10.141 Takeda
  • 10.142 Taxolog
  • 10.143 Tekmira Pharmaceuticals
  • 10.144 Telik
  • 10.145 Thallion Pharmaceuticals
  • 10.146 Therion Biologics
  • 10.147 Titan Pharmaceuticals
  • 10.148 Tracon Pharmaceuticals
  • 10.149 Tragara Pharmaceuticals
  • 10.150 Transgene
  • 10.151 Trion Pharma
  • 10.152 Twinstrand Therapeutics
  • 10.153 UCB
  • 10.154 Valeant
  • 10.155 Vaxon Biotech
  • 10.156 Vertex Pharmaceuticals
  • 10.157 Vion Pharmaceuticals
  • 10.158 ViRexx
  • 10.159 Voyager Pharmaceutical
  • 10.160 Wilex
  • 10.161 Wyeth
  • 10.162 Xerion
  • 10.163 Xoma
  • 10.164 Yakult Honsha
  • 10.165 YM BioSciences
  • 10.166 Zivena
  • 10.167 Non-industrial Organizations

11 Disclaimer

12 Drug Index

13 Company Index

List of Figures

  • Figure 1: Overall Breakdown of the Included Lung Cancer Therapeutic Pipeline by Sub-Indication and Stage of Development
  • Figure 2: Visualization of Target-Target Interactions Among Lung Cancer Drug Targets
  • Figure 3: The Drug-Protein Interactome of Lung Cancer Drugs - Clusters I
  • Figure 4: The Drug-Protein Interactome of Lung Cancer Drugs - Clusters II
  • Figure 5: Head-to-Head Targeting Interactome of Lung Cancer Drugs
  • Figure 6: Distribution of Compound Types among Lung Cancer Drugs
  • Figure 7: Primary Sub-cellular Localization of Drug Targets
  • Figure 8: Breakdown of the Lung Cancer (general) Pipeline - Displaying Number of Drugs, Target Profiles and Investigators by Stage of Development
  • Figure 9: Compound Strategy Breakdown of the Lung Cancer (general) Pipeline
  • Figure 10: Breakdown of the Non-Small Cell Lung Cancer Pipeline - Displaying Number of Drugs, Target Profiles and Investigators by Stage of Development
  • Figure 11: Compound Strategy Breakdown of the Non-Small Cell Lung Cancer Pipeline
  • Figure 12: Breakdown of the Small Cell Lung Cancer Pipeline - Displaying Number of Drugs, Target Profiles and Investigators by Stage of Development
  • Figure 13: Compound Strategy Breakdown of the Small Cell Lung Cancer Pipeline

List of Tables

  • Table 1: Competitive Pressure Force Among Lung Cancer Drugs
  • Table 2: Overview of Drug Target Profile Themes
  • Table 3: Terminally Ceased Therapeutic Lung Cancer Targets
  • Table 4: Drug Targets of Lung Cancer Drugs Present in the Catalogue of Somatic Mutations in Cancer and in the Cancer Gene Census
  • Table 5: Identity of Lung Cancer Drug Targets with Available Biological Structures
  • Table 6: Number of Target-Target Interactions among Lung Cancer Drug Targets
  • Table 7: Drug-Protein Interactome Clusters
  • Table 8: Lung Cancer Drug Targets with Available Protein Expression Profiles
  • Table 9: Expression Levels of Identified Drug Targets in Lung Cancer Tissue
  • Table 10: Pathway Summary
  • Table 11: Drug Targets without any Identified Assigned Pathways
  • Table 12: Pathway Profile According to BioCarta of Lung Cancer Drug Targets
  • Table 13: Pathway Profile According to KEGG of Lung Cancer Drug Targets
  • Table 14: Pathway Profile According to NetPath of Lung Cancer Drug Targets
  • Table 15: Number of Drug Target Profiles by their Highest Developmental Stage and Uniqueness
  • Table 16: Top Competitive Lung Cancer Target Profiles
  • Table 17: Terminated Drug Target Strategies in Lung Cancer
  • Table 18 New and Unique Lung Cancer Target Strategies in Pre-Registration to Marketed
  • Table 19: New and Unique Lung Cancer Target Strategies in Phase III Clinical Development.
  • Table 20: New and Unique Lung Cancer Target Strategies in Phase II Clinical Development
  • Table 21: The Competition Through Close Mechanistic Approximation Between Phase II Lung Cancer Drugs
  • Table 22 New and Unique Lung Cancer Target Strategies in Phase I Clinical Development
  • Table 23: The Competition Through Close Mechanistic Approximation Between Phase I Lung Cancer Drugs
  • Table 24: New and Unique Lung Cancer Target Strategies in Preclinical Development
  • Table 25: The Competition Through Close Mechanistic Approximation Between Phase I Lung Cancer Drugs
  • Table 26: The Progression, Maturity and Competitive Comparison of Lung Cancer Drug Target Profiles in Development
  • Table 27: Overview of Compound Strategy Competition in Lung Cancer
  • Table 28:Overview of the Competitive Landscape of Small Molecular Drugs in Lung Cancer
  • Table 29: Head-to-Head Target Competition Between Small Molecule Drugs for the Treatment of Lung Cancer
  • Table 30: The Competition Through Close Mechanistic Approximation Between Small Molecule Drugs in Lung Cancer
  • Table 31: The Progression, Maturity and Competitive Comparison of Target Profiles of Small Molecule Lung Cancer Drugs in Development
  • Table 32: Overview of the Competitive Landscape of Peptide Based Drugs in Lung Cancer
  • Table 33: The Progression, Maturity and Competitive Comparison of Target Profiles of Peptide Based Lung Cancer Drug in Development
  • Table 34:Overview of the Competitive Landscape of Protein Based Drugs in Lung Cancer
  • Table 35: The Competition Through Close Mechanistic Approximation Between Protein Based Drugs in Lung Cancer
  • Table 36: The Progression, Maturity and Competitive Comparison of Protein Based Lung Cancer Drug Target Profiles in Development
  • Table 37:Overview of the Competitive Landscape of Antibody Drugs in Lung Cancer
  • Table 38: The Competition Through Close Mechanistic Approximation Between Antibody Drugs in Lung Cancer
  • Table 39: The Progression, Maturity and Competitive Comparison of Target Profiles of Antibody Lung Cancer Drugs in Development
  • Table 40:Overview of the Competitive Landscape of Nucleic Acid Therapy Drugs in Lung Cancer
  • Table 41: The Progression, Maturity and Competitive Comparison of Target Profiles of Nucleic Acid Lung Cancer Drugs in Development
  • Table 42: Vectors in Gene Therapy
  • Table 43:Overview of the Competitive Landscape of Gene Therapy Drugs in Lung Cancer
  • Table 44: The Competition Through Close Mechanistic Approximation Between Gene Therapy Drugs in Lung Cancer
  • Table 45: The Progression, Maturity and Competitive Comparison of Target Profiles of Gene Therapy Lung Cancer Drugs in Development
  • Table 46:Overview of the Competitive Landscape of Reformulated Drugs in Lung Cancer
  • Table 47: The Competition Through Close Mechanistic Approximation Between Reformulated Drugs in Lung Cancer
  • Table 48: The Progression, Maturity and Competitive Comparison of Target Profiles of Reformulated Lung Cancer Drugs in Development
  • Table 49: The Competition Through Close Mechanistic Approximation Among Drugs in Lung Cancer
  • Table 50: Compound Strategies based on Sub-Cellular Localization of Lung Cancer Drug Targets
  • Table 51: Competitive Summary of Lung Cancer Drugs by Sub-Indication
  • Table 52: Players in the Field of Lung Cancer (general) Drug Development and their Compared Pipeline
  • Table 53: The Competition Through Close Mechanistic Approximation Between Lung Cancer (general) Drugs
  • Table 54: The Progression, Maturity and Competitive Comparison of Drug Target Profiles in Lung Cancer (general) Drug Development
  • Table 55: Players in the Field of Non-Small Cell Lung Cancer Drug Development and their Compared Pipeline
  • Table 56: The Competition Through Close Mechanistic Approximation Between Non-Small Cell Lung Cancer Drugs
  • Table 57: The Progression, Maturity and Competitive Comparison of Drug Target Profiles in Non-Small Cell Lung Cancer Drug Development
  • Table 58: Players in the Field of Small Cell Lung Cancer Drug Development and their Compared Pipeline
  • Table 59: The Competition Through Close Mechanistic Approximation Between Small Cell Lung Cancer Drugs
  • Table 60: The Progression, Maturity and Competitive Comparison of Drug Target Profiles in Small Cell Lung Cancer Drug Development
  • Table 61: Abbott' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 62: Abraxis BioScience' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 63: Active Biotech' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 64: Adherex' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 65: Advantagene' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 66: AEgera' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 67: Aeterna Zentaris' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 68: Agennix' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 69: Aida Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 70: Alchemia' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 71: Alethia Biotherapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 72: Allos Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 73: Amgen' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 74: Antisense Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 75: Antisoma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 76: Anza Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 77: ApopLogic Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 78: Archer Biosciences' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 79: Ariad' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 80: ArQule' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 81: Array BioPharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 82: Ascenta Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 83: Astellas' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 84: AstraZeneca' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 85: Bayer' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 86: Biogen Idec' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 87: Biokine Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 88: BioNumerik' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 89: Boehringer Ingelheim' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 90: Bristol-Myers Squibb' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 91: BTG' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 92: CanBas' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 93: Celator Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 94: Cell Genesys' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 95: Cell Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 96: Celtic Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 97: Center of Molecular Immunology' s Included Lung Cancer Pipeline Composition and Competitive Fall- Out
  • Table 98: Cephalon' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 99: CG Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 100: Chemokine Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 101: Chong Kun Dang' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 102: Clavis Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 103: CLL Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 104: Critical Outcome Technologies' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 105: Cyclacel' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 106: CytImmune Sciences' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 107: Cytokinetics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 108: Dabur Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 109: Daiichi Sankyo' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 110: Dainippon Sumitomo Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 111: Dara Biosciences' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 112: Dendreon' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 113: Dong-A' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 114: Eisai' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 151: Lorus Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 152: MacroGenics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 153: Medarex' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 154: MediGene' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 155: Medisyn Technologies' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 156: Menarini' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 157: Merck KGaA' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 158: MethylGene' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 159: Micromet' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 160: Mirna Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 161: MolMed' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 162: Mologen' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 163: Nektar Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 164: NeoPharm' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 165: Nerviano Medical Sciences' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 166: Novacea' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 167: Novartis' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 168: OncoGenex Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 169: Oncothyreon' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 170: OSI Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 171: OXiGENE' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 172: PanaGin' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 173: PBL Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 174: PDL BioPharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 175: Pfizer' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 176: Pharmacyclics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 177: PharmaGap' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 178: PharmaMar' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 179: Pharmexa' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 180: Pierre Fabre' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 181: Pro-Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 182: Progen' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 183: Protox Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 184: Receptor BioLogix' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 185: Regulon' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 186: RESprotect' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 187: Samyang' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 188: Sanofi-Aventis' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 189: Sareum' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 190: Schering-Plough' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 191: Seattle Genetics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 192: ShimodaAtlantic Oncology' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 193: Shire' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 194: Sigma-Tau' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 195: Simcere Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 196: SRI International' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 197: SuperGen' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 198: Supratek Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 199: Switch Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 200: Taiho' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 201: Takeda' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 202: Taxolog' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 203: Tekmira Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 204: Telik' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 205: Thallion Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 206: Therion Biologics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 207: Titan Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 208: Tracon Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 209: Tragara Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 210: Transgene' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 211: Trion Pharma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 212: Twinstrand Therapeutics' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 213: UCB' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 214: Valeant' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 215: Vaxon Biotech' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 216: Vertex Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 217: Vion Pharmaceuticals' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 218: ViRexx' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 219: Voyager Pharmaceutical' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 220: Wilex' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 221: Wyeth' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 222: Xerion' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 223: Xoma' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 224: Yakult Honsha' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 225: YM BioSciences' Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 226: Zivena' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
  • Table 227: Non-industrial source' s Included Lung Cancer Pipeline Composition and Competitive Fall-Out
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