Cancer Antibodies: Drug Target Atlas and Competitive Outlook

Published by: BioSeeker Group AB

Published: Nov. 1, 2012 - 2361 Pages


Table of Contents

1 Executive Summary
2 About Cancer Highlights™
2.1 Cancer Focus Areas
2.2 Subscribe Today and Start Saving
2.2.1 Type of License
2.3 Additional Information
2.4 BioSeeker Group’s Oncology Team
3 Methodology
3.1 Cancer Highlights’™ Five Pillar Drug Assessment
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 Among Antibody Drugs in Cancer for the Highest Therapeutic Outcome and Return on Investment
6.1 Drug Repositioning in Oncology
6.2 Introduction to Targets of Antibody Drugs in Cancer
6.2.1 Antigen Binding Targets
6.2.2 ATPase Activity Targets
6.2.3 Auxiliary Transport Protein Activity Targets
6.2.4 B Cell Receptor Activity Targets
6.2.5 Binding Targets
6.2.6 Carboxypeptidase Activity Targets
6.2.7 Catalytic Activity Targets
6.2.8 Cell Adhesion Molecule Activity Targets
6.2.9 Chaperone Activity Targets
6.2.10 Chemokine Activity Targets
6.2.11 Cofactor Binding Targets
6.2.12 Complement Activity Targets
6.2.13 Cysteine-type Peptidase Activity Targets
6.2.14 Cytokine Activity Targets
6.2.15 Defense/Immunity Protein Activity Targets
6.2.16 DNA Topoisomerase Activity Targets
6.2.17 Extracellular Ligand-gated Ion Channel Activity Targets
6.2.18 Extracellular Matrix Structural Constituent Targets
6.2.19 G-protein Coupled Receptor Activity Targets
6.2.20 Growth Factor Activity Targets
6.2.21 Guanylate Cyclase Activity Targets
6.2.22 Hormone Activity Targets
6.2.23 Hydrolase Activity Targets
6.2.24 Intracellular Ligand-gated Ion Channel Activity Targets
6.2.25 Kinase Binding Targets
6.2.26 Metallopeptidase Activity Targets
6.2.27 MHC Class I Receptor Activity Targets
6.2.28 Molecular Function Unknown Targets
6.2.29 Oxidoreductase Activity Targets
6.2.30 Peptidase Activity Targets
6.2.31 Peptide Hormone Targets
6.2.32 Protease Inhibitor Activity Targets
6.2.33 Protein Binding Targets
6.2.34 Protein Serine/Threonine Kinase Activity Targets
6.2.35 Receptor Activity Targets
6.2.36 Receptor Binding Targets
6.2.37 Receptor Signaling Complex Scaffold Activity Targets
6.2.38 Receptor Signaling Protein Serine/Threonine Kinase Activity Targets
6.2.39 Receptor Signaling Protein Tyrosine Phosphatase Activity Targets
6.2.40 RNA-directed DNA Polymerase Activity Targets
6.2.41 Serine-type Peptidase Activity Targets
6.2.42 Structural Constituent of Cytoskeleton Targets
6.2.43 Structural Molecule Activity Targets
6.2.44 T Cell Receptor Activity Targets
6.2.45 Transcription Factor Activity Targets
6.2.46 Transcription Regulator Activity Targets
6.2.47 Translation Regulator Activity Targets
6.2.48 Transmembrane Receptor Activity Targets
6.2.49 Transmembrane Receptor Protein Tyrosine Kinase Activity Targets
6.2.50 Transporter Activity Targets
6.2.51 Other Targets
6.3 Mutation Profiles of Antibody Drug Targets in Oncology
6.3.1 Targets of Antibody Drugs in Cancer Present in the Cancer Gene Census and in the Catalogue of Somatic Mutations in Cancer
6.4 Antibody Therapeutics is Stimulated by Available Structure Data on Targets
6.5 Target-Target Interactions among Identified Targets of Antibody Drugs in Cancer
6.6 Protein Expression Levels of Identified Targets of Antibody Drugs in Cancer
6.7 The Drug-Target Competitive Landscape
6.8 Pathway Assessment of Antibody Drugs in Cancer
6.8.1 Tools for Analysis of Cancer Pathways
6.8.2 Pathway Assessment
7 Emerging Drug Candidates to Established Ones: Drug Target Strategies of Antibody Drugs in Cancer by their Highest Stage of Development
7.1 Pre-registrered and Marketed: New and Unique Drug Target Strategies of Antibody Drugs in Cancer
7.2 Phase III Clinical Development: New and Unique Drug Target Strategies of Antibody Drugs in Cancer
7.3 Phase II Clinical Development: New and Unique Drug Target Strategies of Antibody Drugs in Cancer
7.4 Phase I Clinical Development: New and Unique Drug Target Strategies of Antibody Drugs in Cancer
7.5 Preclinical Development: New and Unique Drug Target Strategies of Antibody Drugs in Cancer
7.6 Drug Target Strategies of Suspended or Terminated Antibody Drugs in Cancer
7.7 Target Strategy Development Profiles of Antibody Drugs in Cancer
7.7.1 Marketed
7.7.2 Phase III
7.7.3 Phase II
7.7.4 Phase I
7.7.5 Preclinical
7.7.6 Suspended
7.7.7 Ceased
7.8 The Competition Through Close Mechanistic Approximation of Antibody Drugs in Cancer
8 Selecting Indication for Antibody Drugs in Oncology
8.1 Acute Lymphocytic Leukemia
8.2 Acute Myelogenous Leukemia
8.3 B-cell Lymphoma
8.4 Basal Cell Cancer
8.5 Biliary Cancer
8.6 Bladder Cancer
8.7 Bone Cancer
8.8 Brain Cancer
8.9 Breast Cancer
8.10 Cancer (general)
8.11 Carcinoid Tumors
8.12 Cervical Cancer
8.13 Chronic Lymphocytic Leukemia
8.14 Chronic Myelogenous Leukemia
8.15 Chronic Myelomonocytic Leukemia
8.16 CNS Cancer
8.17 Colorectal Cancer
8.18 Endometrial Cancer
8.19 Esophageal Cancer
8.20 Ewing's Sarcoma
8.21 Fallopian Tube Cancer
8.22 Gastrointestinal Cancer (general)
8.23 Gastrointestinal Stomach Cancer
8.24 Gastrointestinal Stromal Cancer
8.25 Genitourinary Cancer
8.26 Glioma
8.27 Hairy Cell Leukemia
8.28 Head and Neck Cancer
8.29 Hematological Cancer (general)
8.30 Hodgkin's Lymphoma
8.31 Leiomyo Sarcoma
8.32 Leukemia (general)
8.33 Liver Cancer
8.34 Lung Cancer (general)
8.35 Lymphoma (general)
8.36 Malignant ascites
8.37 Melanoma
8.38 Merkel Cell Carcinoma
8.39 Mesothelioma
8.40 Myelodysplastic Syndrome
8.41 Myeloma
8.42 Nasopharyngeal Cancer
8.43 Neuroblastoma
8.44 Neuroectodermal Sarcoma
8.45 Neuroendocrine Cancer (general)
8.46 non-Hodgkin's Lymphoma
8.47 Non-Small Cell Lung Cancer
8.48 Oesophageal Cancer
8.49 Oral Cancer
8.50 Osteo Sarcoma
8.51 Ovarian Cancer
8.52 Pancreatic Cancer
8.53 Peritoneal Cancer
8.54 Pituitary Adenoma
8.55 Prostate Cancer
8.56 Renal Cancer
8.57 Rhabdomyo Sarcoma
8.58 Sarcoma (general)
8.59 Skin Appendage Cancer
8.60 Skin Cancer (general)
8.61 Small Cell Lung Cancer
8.62 Soft Tissue Sarcoma
8.63 Solid Tumor
8.64 Squamous Cell Cancer
8.65 Synovial Sarcoma
8.66 T-cell Lymphoma
8.67 Testicular Cancer
8.68 Thymoma Cancer
8.69 Thyroid Cancer
8.70 Unspecified Cancer Type
8.71 Vaccine adjunct
8.72 Waldenstrom's hypergammaglobulinemia
9 Pipeline and Portfolio Planning: Competitive Benchmarking of the Cancer Antibody Drug Pipeline by Investigator
9.1 Changes in the Competitive Landscape: M&A, Bankruptcy and Name Change
9.2 Company Facts and Ranking
9.3 Competitive Fall-Out Assessment
9.4 A&G Pharmaceutical
9.5 Abbott
9.6 Abcam
9.7 Abiogen
9.8 Ablynx
9.9 AC Immune
9.10 Acceleron Pharma
9.11 Access
9.12 Actinium Pharmaceuticals
9.13 Active Biotech
9.14 Adherex
9.15 Affibody
9.16 Affimed Therapeutics
9.17 Affitech
9.18 AGY Therapeutics
9.19 Aida Pharmaceuticals
9.20 Alder Biopharmaceuticals
9.21 Alethia Biotherapeutics
9.22 Alexion
9.23 Algeta
9.24 ALSP
9.25 Altor BioScience
9.26 Amgen
9.27 Amorfix Life Sciences
9.28 Antisoma
9.29 Aphios
9.30 Apricus Biosciences
9.31 Arana Therapeutics
9.32 Arca biopharma
9.33 Areva
9.34 arGEN-X
9.35 Astellas
9.36 1AstraZeneca
9.37 AVEO
9.38 Bayer
9.39 Berkeley Lab
9.40 Biocon
9.41 Biogen Idec
9.42 BioInvent
9.43 Biolex
9.44 BioLineRx
9.45 Biosceptre
9.46 Biotecnol
9.47 Biotest
9.48 Boehringer Ingelheim
9.49 Bristol-Myers Squibb
9.50 BTG
9.51 Cancer Innovations
9.52 Cancer Research Technology
9.53 Celldex Therapeutics
9.54 Celltrion
9.55 Celtic Pharma
9.56 Center of Molecular Immunology
9.57 Centrose
9.58 CG Therapeutics
9.59 Circadian Technologies
9.60 CSL
9.61 CuraGen
9.62 CureTech
9.63 Customized Therapeutics
9.64 CytImmune Sciences
9.65 Daiichi Sankyo
9.66 Dendreon
9.67 DiaMedica
9.68 Dompe
9.69 Dr Reddy's
9.70 Dyax
9.71 Eisai
9.72 Elan
9.73 Eli Lilly
9.74 Emergent BioSolutions
9.75 Ergon Pharmaceuticals
9.76 EUSA Pharma
9.77 Expression Drug Designs
9.78 Fabrus
9.79 Faron Pharmaceuticals
9.80 Favrille
9.81 Femta Pharmaceuticals
9.82 FibroGen
9.83 Five Prime Therapeutics
9.84 Fusion Antibodies
9.85 Galaxy Biotech
9.86 GammaCan
9.87 Ganymed Pharmaceuticals
9.88 Gene Techno Science
9.89 Genencor
9.90 Genentech
9.91 Genmab
9.92 Genomic Systems
9.93 GenPat77
9.94 Gilead Sciences
9.95 GlaxoSmithKline
9.96 Gliknik
9.97 Glycotope
9.98 Green Cross
9.99 Hawthorn Pharmaceuticals
9.100 Hoffmann-La Roche
9.101 Human Genome Sciences
9.102 IDM Pharma
9.103 ImClone Systems
9.104 IMED
9.105 Immune Pharmaceuticals
9.106 ImmunoCellular Therapeutics
9.107 ImmunoGen
9.108 Immunomedics
9.109 Immutep
9.110 Innate Pharma
9.111 InNexus Biotechnology
9.112 Intracel
9.113 ISA Pharmaceuticals
9.114 ISU ABXIS
9.115 Johnson & Johnson
9.116 Kaketsuken
9.117 KaloBios
9.118 Kirin Pharma
9.119 Kissei
9.120 Kyowa Hakko Kirin
9.121 Kyto Biopharma
9.122 LFB Biotechnologies
9.123 LG Life Sciences
9.124 MacroGenics
9.125 MAT Biopharma
9.126 Medarex
9.127 MediGene
9.128 MedImmune
9.129 Menarini
9.130 Merck & Co
9.131 Merck KGaA
9.132 Merrimack
9.133 Micromet
9.134 Mitsubishi Tanabe Pharma
9.135 Mycenax
9.136 Neovacs
9.137 Neuren
9.138 NIH
9.139 NKT Therapeutics
9.140 Non-industrial Sources
9.141 Northwest Biotherapeutics
9.142 Novartis
9.143 OncoMed
9.144 OncoTherapy Science
9.145 Oncothyreon
9.146 Onyvax
9.147 Oxford BioMedica
9.148 Paladin Labs
9.149 Panacea
9.150 PanGenetics
9.151 Patrys
9.152 Pepscan Therapeutics
9.153 Peregrine Pharmaceuticals
9.154 Perseus Proteomics
9.155 Pfizer
9.156 PharmAbcine
9.157 Philogen
9.158 Pierre Fabre
9.159 Prima Biomed
9.160 PROBIOMED
9.161 ProCell Therapeutics
9.162 Prochon Biotech
9.163 Progenics Pharmaceuticals
9.164 Ramot
9.165 Recepta biopharma
9.166 Receptor BioLogix
9.167 Regeneron
9.168 Sanofi
9.169 SBI Biotech
9.170 Scancell
9.171 Seattle Genetics
9.172 Shanghai CP Guojian
9.173 Shenogen
9.174 Stainwei Biotech
9.175 Sunol Molecular
9.176 SuppreMol
9.177 Switch Pharma
9.178 Symphogen
9.179 Synageva BioPharma
9.180 SynerGene Therapeutics
9.181 Tactic Pharma
9.182 Takeda
9.183 Tamir Biotechnology
9.184 Targa Therapeutics
9.185 TeGenero
9.186 Teva
9.187 ThromboGenics
9.188 Titan Pharmaceuticals
9.189 Tolerx
9.190 Tracon Pharmaceuticals
9.191 Transgene
9.192 Trillium Therapeutics
9.193 Trion Pharma
9.194 UCB
9.195 United Therapeutics
9.196 Vaccinex
9.197 VasGene Therapeutics
9.198 Viragen
9.199 Viventia Biotech
9.200 Wakunaga
9.201 Wilex
9.202 XBiotech
9.203 Xencor
9.204 Xerion
9.205 Xoma
9.206 Y's Therapeutics
9.207 YM BioSciences
9.208 Zenotech
10 Disclaimer
1.1 List of Figures
Figure 1: Visualization of Target-Target Interactions among Targets of Antibody Drugs in Cancer
Figure 2: The Drug-Target Competitive Landscape of Antibody Drugs in Cancer - Large Cluster
Figure 3: The Drug-Target Competitive Landscape Antibody Drugs in Cancer - Smaller Clusters 1(2)
Figure 4: The Drug-Target Competitive Landscape Antibody Drugs in Cancer - Smaller Clusters 2(2)
Figure 5: Head-to-Head Targeting Competitive Landscape of Antibody Drugs in Cancer - 1 (2)
Figure 6: Head-to-Head Targeting Competitive Landscape of Antibody Drugs in Cancer - 2 (2)
Figure 7: Number of Companies per Ranking Level
1.2 List of Tables
Table 1: Cancer Highlights’™ Five Pillar Drug Assessment
Table 2: Breakdown of the Included Antibody Drug Pipeline in Oncology by Stage of Development
Table 3: Head to Head Target Competition among Antibody Drugs
Table 4: Overview of Drug Target Strategy Themes
Table 5: Ceased Targets of Antibody Drugs in Cancer
Table 6: Official Gene Symbol to Target Profle
Table 7: Mutation Frequencies of Antibody Drug Targets
Table 8: Identity of Drug Targets with Available Biological Structures
Table 9: Number of Target-Target Interactions among Targets of Antibody Drugs in Cancer
Table 10: Available Protein Expression Profiles of Antibody Drug Targets
Table 11: Pathway Summary
Table 12: Drug Targets without any Identified Assigned Pathways
Table 13: Pathway Profiles According to BioCarta of Antibody Drug Targets in Oncology
Table 14: Pathway Profiles According to KEGG of Antibody Drug Targets in Oncology
Table 15: Pathway Profiles According to NetPath of Antibody Drug Targets in Oncology
Table 16: Number of Drug Target Strategies by their Highest Developmental Stage and Uniqueness
Table 17: Top Competitive Target Strategies of Antibody Drugs in Cancer
Table 18: New and Unique Target Strategies of Antibody Drugs in Cancer in Pre-registration or on the Marketed
Table 19: The Competition Through Close Mechanistic Approximation Between Antibody Drugs in Cancer Being Marketed
Table 20: New and Unique Target Strategies in Phase III Clinical Development of Antibody Drugs in Cancer
Table 21: The Competition Through Close Mechanistic Approximation Between Phase III Antibody Drugs in Cancer
Table 22: New and Unique Target Strategies in Phase II Clinical Development of Antibody Drugs in Cancer
Table 23: The Competition Through Close Mechanistic Approximation Between Phase II Antibody Drugs in Cancer
Table 24: New and Unique Target Strategies in Phase I Clinical Development of Antibody Drugs in Cancer
Table 25: The Competition Through Close Mechanistic Approximation Between Phase I Antibody Drugs in Cancer
Table 26: New and Unique Target Strategies in Preclinical Development of Antibody Drugs in Cancer
Table 27: The Competition Through Close Mechanistic Approximation Between Preclinical Antibody Drugs in Cancer
Table 28: Target Strategies of Suspended or Terminated Antibody Drugs in Cancer
Table 29: Connecting Target Strategy with Its Profile Identification Number
Table 30: The Competition Through Close Mechanistic Approximation Among Antibody Drugs in Cancer
Table 31 Competitive Summary by Cancer Indication of Antibody Drugs
Table 32: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Acute Lymphocytic Leukemia
Table 33: The Competition through Close Mechanistic Approximation between Acute Lymphocytic Leukemia Drugs
Table 34: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Acute Myelogenous Leukemia
Table 35: The Competition through Close Mechanistic Approximation between Acute Myelogenous Leukemia Drugs
Table 36: Target Strategy Development Profiles of Antibody Drugs for the Treatment of B-cell Lymphoma
Table 37: The Competition through Close Mechanistic Approximation between B-cell Lymphoma Drugs
Table 38: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Basal Cell Cancer
Table 39: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Biliary Cancer
Table 40: The Competition through Close Mechanistic Approximation between Biliary Cancer Drugs
Table 41: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Bladder Cancer
Table 42: The Competition through Close Mechanistic Approximation between Bladder Cancer Drugs
Table 43: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Bone Cancer
Table 44: The Competition through Close Mechanistic Approximation between Bone Cancer Drugs
Table 45: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Brain Cancer
Table 46: The Competition through Close Mechanistic Approximation between Brain Cancer Drugs
Table 47: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Breast Cancer
Table 48: The Competition through Close Mechanistic Approximation between Breast Cancer Drugs
Table 49: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Cancer (general)
Table 50: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Carcinoid Tumors
Table 51: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Cervical Cancer
Table 52: The Competition through Close Mechanistic Approximation between Cervical Cancer Drugs
Table 53: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Chronic Lymphocytic Leukemia
Table 54: The Competition through Close Mechanistic Approximation between Chronic Lymphocytic Leukemia Drugs
Table 55: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Chronic Myelogenous Leukemia
Table 56: The Competition through Close Mechanistic Approximation between Chronic Myelogenous Leukemia Drugs
Table 57: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Chronic Myelomonocytic Leukemia
Table 58: Target Strategy Development Profiles of Antibody Drugs for the Treatment of CNS Cancer
Table 59: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Colorectal Cancer
Table 60: The Competition through Close Mechanistic Approximation between Colorectal Cancer Drugs
Table 61: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Endometrial Cancer
Table 62: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Esophageal Cancer
Table 63: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Ewing's Sarcoma
Table 64 The Competition through Close Mechanistic Approximation between Ewing’s Sarcoma Drugs
Table 65: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Fallopian Tube Cancer
Table 66: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Gastrointestinal Cancer (general)
Table 67: The Competition through Close Mechanistic Approximation between Gastrointestinal Cancer (general) Drugs
Table 68: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Gastrointestinal Stomach Cancer
Table 69: The Competition through Close Mechanistic Approximation between Gastrointestinal Stomach Cancer Drugs
Table 70: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Gastrointestinal Stromal Cancer
Table 71: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Genitourinary Cancer
Table 72: The Competition through Close Mechanistic Approximation between Genitourinary Cancer Drugs
Table 73: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Glioma
Table 74: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Hairy Cell Leukemia
Table 75: The Competition through Close Mechanistic Approximation between Hairy Cell Leukemia Drugs
Table 76: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Head and Neck Cancer
Table 77: The Competition through Close Mechanistic Approximation between Head and Neck Cancer Drugs
Table 78: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Hematological Cancer (general)
Table 79: The Competition through Close Mechanistic Approximation between Hematological Cancer Drugs
Table 80: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Hodgkin's Lymphoma
Table 81: The Competition through Close Mechanistic Approximation between Hodgkin's Lymphoma Drugs
Table 82: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Leiomyo Sarcoma
Table 83: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Leukemia (general)
Table 84: The Competition through Close Mechanistic Approximation between Leukemia (general) Drugs
Table 85: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Liver Cancer
Table 86: The Competition through Close Mechanistic Approximation between Liver Cancer Drugs
Table 87: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Lung Cancer (general)
Table 88: The Competition through Close Mechanistic Approximation between Lung Cancer (general) Drugs
Table 89: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Lymphoma (general)
Table 90: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Malignant ascites
Table 91: Target Strategy Development Profiles of Antibody Drugs for the Treatment of Melanoma
Table 92: The Competition through Close Mechanistic Approximation between Melanoma Drugs

Abstract

Personalized medicine is very much about fitting target profiles of drugs towards disease mechanism(s). This report is a new and unique way of stratifying and analyzing the global antibody pipeline in cancer towards personalized medicine and presents actionable analysis which allows you to discover:
  • Where the competition is; Which targets, tumor types and companies are setting the path?
  • How much R&D effort has gone towards different targets and what is known about the target?
  • Indication expansion opportunities
  • Drug repositioning opportunities
  • Which pathways are targeted, by what and how?
  • What is truly new and unique in the antibody pipeline in cancer?
  • How new and unique your target strategy really is
  • Locate the right drugs to benchmark against and see were others may have succeeded or failed before you.
BioSeeker builds its analysis on a comprehensive base of 572 antibody drugs in cancer from within the portfolio of 205 companies world-wide, from Ceased to Marketed. We have identified 270 drug targets, which we have organized into 279 drug target strategies, and assessed them by four levels:

1. Individual Target: Shows you how individual targets tie into different target strategies and their subsequent R&D progress.

2. Developmental Stage: Shows you the progress and maturation of different target strategies. Identifies which target strategies are new and unique from one developmental stage to the next.

3. Indication: Shows the distribution and deployment of target strategies by cancer indications. The competitive level in each cancer indication is assessed.

4. Company: Provides a cross-examination of each company’s entire pipeline on the basis of its defined drug target strategies, including a Competitive Fall-Out analysis and a corporate pipeline ranking based on 15 parameters.

Our Analysis includes:
  • Head-to-head target competing analysis
  • Significant drug target overlap analysis
  • Cross-sectional R&D profiling of individual drug targets.
  • Cross-over analysis of target strategies among different tumor types.
  • Competitive Fall-Out analysis of the entire company pipeline: Answering
three core questions about each company’s pipeline:
    -Where are we? -Where is our general and specific competition? -What is the level of competition where we want to be?
15 parameter deep corporate pipeline ranking, including both internal and external pipeline factors.

The report serves as an external commercial advocate for your company’s interest in the antibody pipeline in cancer by:
  • Better identifying benchmarking peers
  • Providing rationale for in/out licensing decisions of drug candidates
  • Performing proper drug due diligence
  • Strategies for commercial planning
  • Guiding Research & Development efforts


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