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Market Research Report

Competitive Outlook on Lung Cancer Drug Development

Published by BioSeeker Group AB Contact us : +1-860-674-8796
Published 2009/08 Content info 767 pages
Product code BG99264
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Description TOC

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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