This triple analysis focuses on cancer drug development strategies in one specific cancer indication (Leukemia), one mechanism/target/effect area (Cancer Vaccines) and one compound specific area (Peptides). Each of these three individual parts is evaluated according to standardized criteria in a five pillar pipeline drug assessment methodology to compare drug development strategies in oncology. This makes it easy to find and compare analysis not only within one single cancer focus area but also between different areas.

Below is a short synopsis of each part included in this report:

Part I: Leukemia
The leukemia report part comprises defined and up to date development strategies for 313 leukemia drugs within the portfolio of 186 investigators, from Ceased to Marketed. This part extensively analyses their 204 identified drug targets, organized into 193 drug target strategies, and assesses them in eight different compound strategies and and eight subindications of leukemia.
This part is based on the following publication:
A Decision Support Tool for Optimizing The Leukemia Pipeline: From Research and Development to Market

Part II: Cancer Vaccines
The cancer vaccine drug report part comprises defined and up to date development strategies for 196 drugs in oncology within the portfolio of 114 companies world-wide, from Ceased to Marketed. The report extensively analyses their 137 identified drug targets, organized into 114 drug target strategies, and assesses them in 52 cancer indications.
This part is based on the following publication:
Cancer Vaccines: From First-in-Class to Best-in-Class?

Part III: Peptides
The peptide drug report part comprises defined and up to date development strategies for 171 drugs in oncology within the portfolio of 114 companies world-wide, from Ceased to Marketed. The report extensively analyses their 132 identified drug targets, organized into 109 drug target strategies, and assesses them in 62 cancer indications.
This part is based on the following publication:
Cancer Peptides: From First-in-Class to Best-in-Class?

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 cancer drugs to insure that the optimal market conditions exist by the time the products are commercialized.

Table Of Contents

Triple Analysis: Leukemia, Cancer Vaccines and Peptides
Key Topics Covered:

Part I: Leukemia
5.1 The Scope of this Report 29
6 Consider the Therapeutic Target Among Leukemia Drugs for the Highest Therapeutic Outcome and Return on Investment (204 Drug Targets) 33-443
7 Emerging New Products to Established Ones: Drug Target Strategies of Leukemia Drugs by their Highest Stage of Development (193 Drug Target Strategies and 313 Leukemia Drugs) 444-727
8 Compound Strategies at Work: Competitive Benchmarking of Leukemia Drugs by Compound Strategy (8 Compound Strategies) 679-728
9 Selecting Subindication for Leukemia Drugs (8 Subindications of Leukemia) 729-762
10 Pipeline and Portfolio Planning: Competitive Benchmarking of the Leukemia Drug Pipeline by Investigator (186 Companies) 763-1,129
11 Disclaimer 1130
12 Drug Index 1131
13 Company Index 1140
Figures: Includes 6 Figures
Tables: Includes 253 Tables
Total Number of Pages: 1,147

Part II: Cancer Vaccines
5.1 The Scope of this Report 28
6 Consider the Therapeutic Target Among Cancer Vaccine Drugs for the Highest Therapeutic Outcome and Return on Investment (137 Drug Targets) 32-245
7 First-in-Class and Me-too Analysis of Cancer Vaccine Drugs (114 Drug Target Strategies and 196 Drugs) 246-262
8 Is First-in-Class the Best-in-Class? 263-386
9 Compound Strategies at Work: Competitive Benchmarking of Cancer Vaccine Drugs by Compound Strategy (7 Compound Strategies) 387-413
10 The Competition Through Close Mechanistic Approximation of Cancer Vaccine Drugs 414-416
11 Selecting Indications for Cancer Vaccine Drugs (52 Cancer Indications) 417-492
12 Pipeline and Portfolio Planning: Competitive Benchmarking of the Cancer Vaccine Drug Pipeline by Company (114 Companies and 196 Drugs) 493-993
13 Disclaimer 994
Figures: Includes 5 Figures
Tables: Includes 239 Tables
Total Number of Pages: 1,007

Part III: Peptides
5.1 The Scope of this Report 27
6 Consider the Therapeutic Target Among Peptide Drugs in Cancer for the Highest Therapeutic Outcome and Return on Investment (132 Drug Targets) 31-252
7 First-in-Class and Me-too Analysis of Peptide Drugs in Cancer (109 Drug Target Strategies and 171 Drugs) 253-267
8 Is First-in-Class the Best-in-Class? (109 Drug Target Strategies and 171 Drugs) 268-387
9 The Competition through Close Mechanistic Approximation of Peptide Drugs in Cancer 388
10 Selecting Indication for Peptide Drugs in Oncology ( 62 Cancer Indications) 391-475
11 Pipeline and Portfolio Planning: Competitive Benchmarking of the Cancer Peptide Drug Pipeline by Investigator (114 Investigators and 171 Drugs) 476-1001
12 Disclaimer 1002
Figures: Includes 5 Figures
Tables: Includes 232 Tables
Total Number of Pages: 1,013

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