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Reportlinker Adds Commercializing Peptides in Oncology: A Decision Support Tool for Optimizing the Pipeline

Wednesday, August 25, 2010 General News J E 4
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NEW YORK, Aug. 25 Reportlinker.com announces that a new market research report is available in its catalogue:

Commercializing Peptides in Oncology: A Decision Support Tool for Optimizing the Pipeline

http://www.reportlinker.com/p0284596/Commercializing-Peptides-in-Oncology-A-Decision-Support-Tool-for-Optimizing-the-Pipeline.html

This report comprises defined and up to date development strategies for 145 cancer peptide drugs within the portfolio of 103 investigators, from Ceased to Marketed. The report extensively analyses 125 identified targets of peptide drugs, organized into 103 drug target strategies, and assesses them in 52 different cancer indications.

The discovery of new cancer therapeutics has seen a significant shift towards biologicals as an alternative to small molecule drugs. Alternative binding peptide molecules, derived from combinatorial scaffold libraries, are now challenging traditional antibodies. This report identifies the competitive terrain for cancer therapeutic peptides to be wide open from a compound perspective and the opportunity for peptide drugs to challenge other biologicals such as antibodies is real and significant.

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 helps teams to maximize molecule value by selecting optimal development plans and manage risk and uncertainty. The report serves as an external commercial advocate for pharmaceutical companies' pipeline and portfolio planning (PPP) in cancer 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 cancer 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

* Supporting development of integrative molecule, pathway and disease area strategies

* Integrating knowledge for you to consider the therapeutic target for the highest therapeutic outcome and return on investment

This report provides systems, analytical and strategic support both internally to PPP and to stakeholders across your own organization. The report will also be an important part of creating and implementing a market development plan for any cancer peptide drug to ensure that the optimal market conditions exist by the time the product is commercialized.

1 Executive Summary 3

2 About Cancer Highlights(TM) 4

2.1 Cancer Focus Areas 4

2.2 Subscribe Today and Start Saving 5

2.2.1 Type of License 5

2.3 BioSeeker Group's Oncology Team 5

3 Methodology 6

3.1 Cancer Highlights'(TM) Five Pillar Assessment 6

4 Table of Contents 8

4.1 List of Figures 17

4.2 List of Tables 17

5 Introduction 24

5.1 The Scope of this Report 24

5.2 The Competitive Advantage and Disadvantage of Peptide Drugs 26

5.3 Definitions 28

5.4 Abbreviations 28

6 Consider the Therapeutic Target for the Highest Therapeutic Outcome and Return on Investment 29

6.1 Drug Repositioning in Oncology 29

6.2 Introduction to Peptide Therapeutic Targets in Oncology 30

6.2.1 Catalytic Activity Targets 33

6.2.2 Chaperone Activity Targets 34

6.2.3 Chemokine Activity Targets 36

6.2.4 Cytokine Activity Targets 40

6.2.5 Cytoskeletal Protein Binding Targets 42

6.2.6 DNA Binding Targets 43

6.2.7 DNA Topoisomerase Activity Targets 44

6.2.8 G-protein Coupled Receptor Activity Targets 45

6.2.9 Growth Factor Activity Targets 63

6.2.10 Heat Shock Protein Activity Targets 64

6.2.11 Hormone Activity Targets 65

6.2.12 Isomerase Activity Targets 66

6.2.13 Kinase Activity Targets 67

6.2.14 Kinase Binding Targets 69

6.2.15 Kinase Regulator Activity Targets 70

6.2.16 Ligand-dependent Nuclear Receptor Activity Targets 72

6.2.17 Metallopeptidase Activity Targets 75

6.2.18 Molecular Function Unknown Targets 81

6.2.19 Oxidoreductase Activity Targets 87

6.2.20 Peptide Hormone Targets 88

6.2.21 Protease Inhibitor Activity Targets 90

6.2.22 Protein Binding Targets 91

6.2.23 Protein Serine/Threonine Kinase Activity Targets 93

6.2.24 Protein Tyrosine/Serine/Threonine Phosphatase Activity Targets 103

6.2.25 Protein-tyrosine Kinase Activity Targets 104

6.2.26 Receptor Activity Targets 107

6.2.27 Receptor Binding Targets 130

6.2.28 Receptor Signaling Complex Scaffold Activity Targets 132

6.2.29 Receptor Signaling Protein Serine/Threonine Kinase Activity Targets 135

6.2.30 Receptor Signaling Protein Serine/Threonine Kinase Activity Targets 136

6.2.31 RNA Binding Targets 137

6.2.32 RNA-directed DNA Polymerase Activity Targets 138

6.2.33 Serine-type Peptidase Activity Targets 139

6.2.34 Signal Transducer Activity Targets 142

6.2.35 Structural Molecule Activity Targets 144

6.2.36 T Cell Receptor Activity Targets 145

6.2.37 Transcription Factor Activity Targets 146

6.2.38 Transcription Regulator Activity Targets 153

6.2.39 Transferase Activity Targets 154

6.2.40 Transmembrane Receptor Activity Targets 155

6.2.41 Transmembrane Receptor Protein Tyrosine Kinase Activity Targets 159

6.2.42 Ubiquitin-specific Protease Activity Targets 170

6.2.43 Virus Targets 171

6.3 The Cancer Genome Project and Cancer Peptide Targets 172

6.3.1 Cancer Peptide Drug Targets Present in the Cancer Gene Census and in the Catalogue of Somatic Mutations in Cancer 172

6.4 Structure-based Drug Design in Cancer Peptide Therapeutics is Stimulated by Available Structure Data on Biological Targets 177

6.5 Target-Target Interactions among Identified Targets of Peptide Drugs 179

6.6 The Drug-Target Interactome 183

6.7 Protein Expression Levels of Identified Targets of Cancer Peptide Drugs 187

6.8 Pathway Assessment of Peptide Therapeutic Targets in Oncology 190

6.8.1 Tools for Analysis of Cancer Pathways 191

6.8.2 Pathway Assessment 192

7 Emerging New Products to Established Ones: Drug Target Strategies of Peptides by their Highest Stage of Development in Oncology 220

7.1 Drug Target Strategies of Terminated Peptide Drugs in Oncology 222

7.2 Marketed: New and Unique Drug Target Strategies of Peptide Drugs in Oncology 225

7.3 Phase III Clinical Development: New and Unique Drug Target Strategies of Peptide Drugs in Oncology 227

7.4 Phase II Clinical Development: New and Unique Drug Target Strategies of Peptide Drugs in Oncology 228

7.5 Phase I Clinical Development: New and Unique Drug Target Strategies of Peptide Drugs in Oncology 230

7.6 Preclinical Development: New and Unique Drug Target Strategies of Peptide Drugs in Oncology 232

7.7 No Development Data: New and Unique Drug Target Strategies of Peptide Drugs in Oncology 235

7.8 Development Profiles of All Peptide Drugs in Oncology 236

7.9 The Competition Through Close Mechanistic Approximation of Cancer Peptide Drugs 245

8 Selecting Cancer Indications for Peptide Drugs 247

8.1 Acute Myelogenous Leukemia 250

8.2 Benign prostatic hyperplasia 251

8.3 Bladder Cancer 252

8.4 Bone Cancer 253

8.5 Brain Cancer 254

8.6 Breast Cancer 255

8.7 Cancer Diagnosis 257

8.8 Carcinoid 258

8.9 Carcinoid Syndrome 258

8.10 Cervical Cancer 258

8.11 Chemotherapy-induced Alopecia 259

8.12 Chemotherapy-induced Anemia 259

8.13 Chemotherapy-induced Bone Marrow Injury (general) 260

8.14 Chemotherapy-induced GI Injury 261

8.15 Chemotherapy-induced Injury (general) 262

8.16 Chemotherapy-induced Mucositis 262

8.17 Chemotherapy-induced Nausea and Vomiting 264

8.18 Chemotherapy-induced Neutropenia 264

8.19 Chemotherapy-induced Thrombocytopenia 264

8.20 Chronic Lymphocytic Leukemia 265

8.21 Chronic Myelogenous Leukemia 266

8.22 Colorectal Cancer 267

8.23 Endometrial Cancer 269

8.24 Fallopian Tube Cancer 269

8.25 Gastrointestinal Cancer (general) 270

8.26 Gastrointestinal Stomach Cancer 271

8.27 Head and Neck Cancer 272

8.28 Liver Cancer 273

8.29 Lung Cancer (general) 275

8.30 Lymphoma (general) 276

8.31 Melanoma 277

8.32 Mesothelioma 279

8.33 Myelodysplastic Syndrome 280

8.34 Myeloma 281

8.35 Myoma 282

8.36 Neuroblastoma 282

8.37 non-Hodgkin's Lymphoma 282

8.38 Non-Small Cell Lung Cancer 283

8.39 Oesophageal Cancer 285

8.40 Ovarian Cancer 286

8.41 Pancreatic Cancer 288

8.42 Peritoneal Cancer 289

8.43 Prostate Cancer 290

8.44 Renal Cancer 293

8.45 Sarcoma (general) 294

8.46 Small Cell Lung Cancer 295

8.47 Soft Tissue Sarcoma 296

8.48 Solid Tumor 297

8.49 Squamous Cell Cancer 297

8.50 Thyroid Cancer 297

8.51 Unspecified 298

8.52 Vaccine adjunct 300

9 Pipeline and Portfolio Planning: Competitive Benchmarking of the Peptide Drug Pipeline in Oncology by Investigator 301

9.1 Competitive Fall-Out Assessment 301

9.2 Changes in the Competitive Landscape: M&A, Bankruptcy and Name Change 303

9.3 Abbott 304

9.4 Acceleron Pharma 308

9.5 Aeterna Zentaris 311

9.6 Affymax 317

9.7 Aileron Therapeutics 321

9.8 Allostera 323

9.9 Ambrilia Biopharma 325

9.10 Amgen 328

9.11 Anchor Therapeutics 332

9.12 AngioChem 335

9.13 Angstrom Pharmaceuticals 338

9.14 AplaGen Biopharmaceuticals 341

9.15 ApopLogic Pharmaceuticals 343

9.16 Apthera 346

9.17 Ardana 349

9.18 Ark Therapeutics 353

9.19 Attenuon 355

9.20 AVI BioPharma 358

9.21 Baxter International 361

9.22 BioAlliance Pharma 364

9.23 Biokine Therapeutics 366

9.24 CanBas 369

9.25 Cancer Innovations 372

9.26 Cancer Research Technology 375

9.27 CDG Therapeutics 381

9.28 Celecure 384

9.29 Celldex Therapeutics 386

9.30 Chemokine Therapeutics 389

9.31 Compugen 392

9.32 Curaxis Pharmaceutical 394

9.33 Cyclacel 397

9.34 Daiichi Sankyo 399

9.35 Dendreon 401

9.36 Diatos 404

9.37 Eli Lilly 407

9.38 Endo Pharmaceuticals 410

9.39 Enkam Pharmaceuticals 413

9.40 EntreMed 416

9.41 Esperance Pharmaceuticals 419

9.42 Generex 421

9.43 GENova Biotherapeutics 423

9.44 Genzyme 425

9.45 GlaxoSmithKline 428

9.46 Gliknik 431

9.47 GP Pharm 433

9.48 Gryphon Therapeutics 437

9.49 Hoffmann-La Roche 439

9.50 ImmuneRegen Biosciences 442

9.51 ImmunoCellular Therapeutics 444

9.52 Immunomedics 446

9.53 Immunotope 448

9.54 ImmuPharma 451

9.55 Innovive 453

9.56 ISA Pharmaceuticals 456

9.57 Johnson & Johnson 459

9.58 Karyon-CTT 463

9.59 Lee's Pharmaceutical 466

9.60 Mannkind 469

9.61 Marillion Pharmaceuticals 471

9.62 MBiotec 474

9.63 Mediolanum 476

9.64 MolMed 479

9.65 Nektar Therapeutics 483

9.66 Nemod Biotherapeutics 486

9.67 Nidus Laboratories 489

9.68 Non-industrial Sources 492

9.69 Norwood Abbey 498

9.70 Novartis 501

9.71 NPS Pharmaceuticals 504

9.72 OncoTherapy Science 507

9.73 Oncothyreon 510

9.74 Pepscan Therapeutics 514

9.75 PepTx 516

9.76 PharmaGap 519

9.77 Pharmexa 522

9.78 Q Chip 525

9.79 QLT 528

9.80 Raptor Pharmaceutical 531

9.81 Receptor BioLogix 535

9.82 SciClone Pharmaceuticals 538

9.83 Serometrix 541

9.84 Shire 543

9.85 Soligenix 546

9.86 Spectrum Pharmaceuticals 549

9.87 Thallion Pharmaceuticals 551

9.88 Therion Biologics 554

9.89 Theryte 557

9.90 Tigris Pharmaceuticals 560

9.91 Unigene 562

9.92 United Biomedical 565

9.93 Vaxil BioTherapeutics 567

9.94 Vaxon Biotech 570

9.95 VaxOnco 573

9.96 Vical 576

9.97 Xigen 579

9.98 Zealand Pharmaceuticals 581

9.99 Zelos Therapeutics 584

9.100 Zensun 586

10 Disclaimer 588

11 Drug Index 589

12 Company Index 593

4.1 List of Figures

Figure 1: Visualization of Target-Target Interactions among Targets of Peptide Drugs in Oncology 182

Figure 2: The Drug-Target Interactions of Cancer Peptide Drugs - Large Cluster 184

Figure 3: The Drug-Target Interactions of Cancer Peptide Drugs - Smaller Clusters 185

Figure 4: Head-to-Head Targeting Interactions of Cancer Peptide Drugs 186

4.2 List of Tables

Table 1: Cancer Highlights'(TM) Five Pillar Assessment 6

Table 2: Breakdown of the Included Cancer Peptide Pipeline by Stage of Development 24

Table 3: Head to Head Target Competition among Cancer Peptide Drugs 24

Table 4: Overview of Drug Target Strategy Themes 30

Table 5: Terminally Ceased Targets of Peptide Drugs in Oncology 31

Table 6: Drug Targets of Peptide Drugs Present in the Catalogue of Somatic Mutations in Cancer and in the Cancer Gene Census 173

Table 7: Identity of Cancer Peptide Drug Targets with Available Biological Structures 177

Table 8: Number of Target-Target Interactions among Targets of Peptide Drugs in Oncology 179

Table 9: Available Protein Expression Profiles of Peptide Drug Targets 187

Table 10: Pathway Summary 192

Table 11: Drug Targets without any Identified Assigned Pathways 192

Table 12: Pathway Profiles According to BioCarta of Peptide Drug Targets in Oncology 194

Table 13: Pathway Profiles According to KEGG of Peptide Drug Targets in Oncology 205

Table 14: Pathway Profiles According to NetPath of Peptide Drug Targets in Oncology 217

Table 15: Number of Drug Target Strategies by their Highest Developmental Stage and Uniqueness 220

Table 16: Top Competitive Target Strategies of Peptide Drugs in Oncology 221

Table 17: Target Strategies of Terminated Peptide Drugs in Oncology 223

Table 18: New and Unique Target Strategies of Marketed Peptide Drugs in Oncology 225

Table 19: The Competition Through Close Mechanistic Approximation Between Marketed Peptide Drugs in Cancer 226

Table 20: New and Unique Target Strategies in Phase III Clinical Development of Peptide Drugs in Oncology 227

Table 21: The Competition Through Close Mechanistic Approximation Between Phase III Peptide Drugs in Cancer 227

Table 22: New and Unique Target Strategies in Phase II Clinical Development of Peptide Drugs in Oncology 228

Table 23: The Competition Through Close Mechanistic Approximation Between Phase II Peptide Drugs in Cancer 229

Table 24: New and Unique Target Strategies in Phase I Clinical Development of Peptide Drugs in Oncology 230

Table 25: The Competition Through Close Mechanistic Approximation Between Phase I Peptide Drugs in Cancer 231

Table 26: New and Unique Target Strategies in Preclinical Development of Peptide Drugs in Oncology 232

Table 27: The Competition Through Close Mechanistic Approximation Between Preclinical Peptide Drugs in Cancer 233

Table 28: New and Unique Target Strategies in Unknown Developmental Stage of Peptide Drugs in Oncology 235

Table 29: The Competition Through Close Mechanistic Approximation Between Peptide Drugs with No Developmental Data in Cancer 235

Table 30: The Progression, Maturity and Competitive Comparison of Target Strategies of Peptide Drugs in Oncology 236

Table 31: The Competition Through Close Mechanistic Approximation Among All Peptide Drugs in Cancer 245

Table 32 Indication Selection Competitive Summary of Peptide Drugs by Cancer Indication 248

Table 33: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Acute Myelogenous Leukemia 250

Table 34: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Benign prostatic hyperplasia 251

Table 35: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Bladder Cancer 252

Table 36: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Bone Cancer 253

Table 37: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Brain Cancer 254

Table 38: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Breast Cancer 255

Table 39: The Competition through Close Mechanistic Approximation between Breast Cancer Drugs 256

Table 40: Target Strategy Development Profiles of Peptide Compounds for Cancer Diagnosis 257

Table 41: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Carcinoid 258

Table 42: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Carcinoid Syndrome 258

Table 43: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Cervical Cancer 258

Table 44: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced Alopecia 259

Table 45: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced Anemia 259

Table 46: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced Bone Marrow Injury (general) 260

Table 47: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced GI Injury 261

Table 48: The Competition through Close Mechanistic Approximation between Chemotherapy-induced GI Injury Drugs 261

Table 49: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced Injury (general) 262

Table 50: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced Mucositis 262

Table 51: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced Nausea and Vomiting 264

Table 52: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced Neutropenia 264

Table 53: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chemotherapy-induced Thrombocytopenia 264

Table 54: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chronic Lymphocytic Leukemia 265

Table 55: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Chronic Myelogenous Leukemia 266

Table 56: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Colorectal Cancer 267

Table 57: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Endometrial Cancer 269

Table 58: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Fallopian Tube Cancer 269

Table 59: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Gastrointestinal Cancer (general) 270

Table 60: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Gastrointestinal Stomach Cancer 271

Table 61: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Head and Neck Cancer 272

Table 62: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Liver Cancer 273

Table 63: The Competition through Close Mechanistic Approximation between Liver Cancer Drugs 274

Table 64: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Lung Cancer (general) 275

Table 65: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Lymphoma (general) 276

Table 66: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Melanoma 277

Table 67: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Mesothelioma 279

Table 68: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Myelodysplastic Syndrome 280

Table 69: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Myeloma 281

Table 70: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Myoma 282

Table 71: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Neuroblastoma 282

Table 72: Target Strategy Development Profiles of Peptide Drugs for the Treatment of non-Hodgkin's Lymphoma 282

Table 73: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Non-Small Cell Lung Cancer 283

Table 74: The Competition through Close Mechanistic Approximation between Non-Small Cell Lung Cancer Drugs 284

Table 75: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Oesophageal Cancer 285

Table 76: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Ovarian Cancer 286

Table 77: The Competition through Close Mechanistic Approximation between Ovarian Cancer Drugs 287

Table 78: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Pancreatic Cancer 288

Table 79: The Competition through Close Mechanistic Approximation between Pancreatic Cancer Drugs 289

Table 80: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Peritoneal Cancer 289

Table 81: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Prostate Cancer 290

Table 82: The Competition through Close Mechanistic Approximation between Prostate Cancer Drugs 291

Table 83: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Renal Cancer 293

Table 84: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Sarcoma (general) 294

Table 85: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Small Cell Lung Cancer 295

Table 86: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Soft Tissue Sarcoma 296

Table 87: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Solid Tumor 297

Table 88: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Squamous Cell Cancer 297

Table 89: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Thyroid Cancer 297

Table 90: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Unspecified 298

Table 91: The Competition through Close Mechanistic Approximation between Unspecified Cancer Indication Drugs 300

Table 92: Target Strategy Development Profiles of Peptide Drugs for the Treatment of Vaccine adjunct 300

Table 93: Example of a Competitive Fall-Out Table (Modified, Gonadotropin-releasing hormone receptor) 302

Table 94: Summary Table of Changes in the Competitive Landscape of Peptide Drug Development in Oncology 303

Table 95: Abbott's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 304

Table 96: Acceleron Pharma's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 308

Table 97: Aeterna Zentaris' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 311

Table 98: Affymax's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 317

Table 99: Aileron Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 321

Table 100: Allostera's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 323

Table 101: Ambrilia Biopharma's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 325

Table 102: Amgen's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 328

Table 103: Anchor Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 332

Table 104: AngioChem's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 335

Table 105: Angstrom Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 338

Table 106: AplaGen Biopharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 341

Table 107: ApopLogic Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 343

Table 108: Apthera's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 346

Table 109: Ardana's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 349

Table 110: Ark Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 353

Table 111: Attenuon's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 355

Table 112: AVI BioPharma's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 358

Table 113: Baxter International's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 361

Table 114: BioAlliance Pharma's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 364

Table 115: Biokine Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 366

Table 116: CanBas' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 369

Table 117: Cancer Innovations' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 372

Table 118: Cancer Research Technology's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 375

Table 119: CDG Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 381

Table 120: Celecure's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 384

Table 121: Celldex Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 386

Table 122: Chemokine Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 389

Table 123: Compugen's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 392

Table 124: Curaxis Pharmaceutical's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 394

Table 125: Cyclacel's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 397

Table 126: Daiichi Sankyo's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 399

Table 127: Dendreon's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 401

Table 128: Diatos' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 404

Table 129: Eli Lilly's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 407

Table 130: Endo Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 410

Table 131: Enkam Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 413

Table 132: EntreMed's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 416

Table 133: Esperance Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 419

Table 134: Generex's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 421

Table 135: GENova Biotherapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 423

Table 136: Genzyme's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 425

Table 137: GlaxoSmithKline's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 428

Table 138: Gliknik's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 431

Table 139: GP Pharm's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 433

Table 140: Gryphon Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 437

Table 141: Hoffmann-La Roche's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 439

Table 142: ImmuneRegen Biosciences' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 442

Table 143: ImmunoCellular Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 444

Table 144: Immunomedics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 446

Table 145: Immunotope's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 448

Table 146: ImmuPharma's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 451

Table 147: Innovive's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 453

Table 148: ISA Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 456

Table 149: Johnson & Johnson's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 459

Table 150: Karyon-CTT's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 463

Table 151: Lee's Pharmaceutical's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 466

Table 152: Mannkind's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 469

Table 153: Marillion Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 471

Table 154: MBiotec's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 474

Table 155: Mediolanum's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 476

Table 156: MolMed's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 479

Table 157: Nektar Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 483

Table 158: Nemod Biotherapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 486

Table 159: Nidus Laboratories' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 489

Table 160: Non-industrial Sources' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 492

Table 161: Norwood Abbey's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 498

Table 162: Novartis' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 501

Table 163: NPS Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 504

Table 164: OncoTherapy Science's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 507

Table 165: Oncothyreon's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 510

Table 166: Pepscan Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 514

Table 167: PepTx's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 516

Table 168: PharmaGap's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 519

Table 169: Pharmexa's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 522

Table 170: Q Chip's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 525

Table 171: QLT's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 528

Table 172: Raptor Pharmaceutical's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 531

Table 173: Receptor BioLogix's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 535

Table 174: SciClone Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 538

Table 175: Serometrix's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 541

Table 176: Shire's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 543

Table 177: Soligenix's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 546

Table 178: Spectrum Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 549

Table 179: Thallion Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 551

Table 180: Therion Biologics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 554

Table 181: Theryte's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 557

Table 182: Tigris Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 560

Table 183: Unigene's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 562

Table 184: United Biomedical's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 565

Table 185: Vaxil BioTherapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 567

Table 186: Vaxon Biotech's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 570

Table 187: VaxOnco's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 573

Table 188: Vical's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 576

Table 189: Xigen's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 579

Table 190: Zealand Pharmaceuticals' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 581

Table 191: Zelos Therapeutics' Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 584

Table 192: Zensun's Featured Peptide Drug Pipeline in Oncology and Competitive Fall-Out 586

To order this report:

Biotechnology Industry: Commercializing Peptides in Oncology: A Decision Support Tool for Optimizing the Pipeline

Biotechnology Business News

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Nicolas Bombourg

Reportlinker

Email: nbo@reportlinker.com

US: (805)652-2626

Intl: +1 805-652-2626

SOURCE Reportlinker
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