◆英語タイトル：Frontier Pharma: Cancer Immunotherapies - First-in-Class Pipeline Dominated by Immunomodulators and PD-1 Like Targets
◆レポート形式：英語 / PDF
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Frontier Pharma: Cancer Immunotherapies – First-in-Class Pipeline Dominated by Immunomodulators and PD-1 Like Targets
Cancer is a group of diseases that are defined by abnormal cell growth, local tissue invasion and eventual migration to other parts of the body. The diseases are driven by the accumulation of genetic mutations, which provide selective advantages to cells allowing them to evolve and propagate virtually all sites and tissues in the human body.
It is now widely believed that tumors are recognized by the immune system, and this tumor-specific immune response is due to the recognition of tumor antigens. However, in many cancers, disease progression is also accompanied by immune suppression, which hinders an effective anti-tumor response and tumor elimination. Over the past few decades cancer immunotherapies have developed into important therapeutic options for some types of cancer.
The different types of cancer immunotherapies used to treat cancer include monoclonal antibodies (mAbs) directed at specific tumor-associated antigens (TAA); immune checkpoint inhibitors, which target key proteins involved in the immune response, such as programmed cell death-1 (PD-1); vaccination of the patient with tumor antigens, and non-specific immunotherapies, such as interferon therapy, which stimulate the immune system in a more generalized manner.
Overall, there are 3,100 products in active development in the cancer immunotherapy pipeline. This makes it a notable portion of the entire oncology pipeline, and reflects the strong interest in this class of therapy in product development. This is due to growing clinical rationale behind developing such therapies, and the willingness of drug developers to invest in novel therapeutics, which will offer significant product differentiation from market competitors.
- The 3,100 products in active development, of which 989 are first-in-class and therefore act on completely novel targets, far exceed the scope of the current market. How will pipeline innovation affect the future cancer immunotherapies market?
- There are 322 distinct first-in-class molecular targets currently being studied. Which of these hold the greatest potential to improve future disease treatment with regard to their molecular target?
- Multiple types of cancer immunotherapies exist. Which of these are the most promising, and how does the ratio of first-in-class targets to first-in-class products differ by stage of development and molecular target class?
- A significant number of first-in-class products have been identified with some prior involvement in deals. How do deal frequency and value compare between target families and molecule types, and which first-in-class programs have not yet been involved in a licensing or co-development deal?
Reasons to buy
- Understand the current clinical and commercial landscape. The report includes a comprehensive study of disease pathogenesis, diagnosis, prognosis and the treatment options available.
- Visualize the composition of the cancer immunotherapies market in terms of dominant molecule types and targets, highlighting what the current unmet needs are and how they can be addressed. This knowledge allows a competitive understanding of gaps in the market.
- Analyze the cancer immunotherapies pipeline and stratify by stage of development, molecule type and molecular target. There are strong signs in the pipeline that the industry is seeking immunotherapeutic approaches to treating cancer indications with current poor prognoses, including melanoma and lung cancer.
- Assess the therapeutic potential of first-in-class targets. Using a proprietary molecular target matrix tailored directly towards cancer immunotherapies, first-in-class products have been assessed and ranked according to clinical potential.
- Identify commercial opportunities in the cancer immunotherapies deals landscape by analyzing trends in licensing and co-development deals, and producing a list of first-in-class therapies with no prior involvement in licensing or co-development deals.
1 Table of Contents
1 Table of Contents 2
1.1 List of Tables 3
1.2 List of Figures 3
2 Executive Summary 5
2.1 A Large Therapy Area with Varying Unmet Needs across Indications 5
2.2 A Large Pipeline with a High Degree of First-in-Class Innovation 5
3 The Case for Innovation in the Oncology Market 6
3.1 Growing Opportunities for Biologic Products 7
3.2 Diversification of Molecular Targets 7
3.3 Innovative First-in-Class Product Developments Remain Attractive 8
3.4 Regulatory and Reimbursement Policy Shifts Favor First-in-Class Product Innovation 8
3.5 Sustained Innovation 9
3.6 Report Guidance 9
4 Clinical and Commercial Landscape 10
4.1 Therapy Area Overview 10
4.1.1 Epidemiology 10
4.1.2 Etiology 14
4.1.3 Pathophysiology 16
4.1.4 Diagnosis 22
4.1.5 Prognosis and Disease Staging 23
4.2 Treatment Options 25
4.2.1 Surgery 25
4.2.2 Radiation Therapy 26
4.2.3 Chemotherapy 27
4.2.4 Hormonal Therapies 28
4.2.5 Targeted Therapies 29
4.2.6 Immunotherapies 30
4.3 Overview of Marketed Products within Cancer Immunotherapy 32
4.4 Current Unmet Needs across the Oncology Markets 34
5 Assessment of Pipeline Product Innovation 36
5.1 Cancer Immunotherapies Pipeline by Phase, Molecule Type and Molecular Target 36
5.2 Comparative Distribution of Programs between the Oncology Market and Pipeline by Therapeutic Target Family 40
5.3 First-in-Class Pipeline Programs 40
5.3.1 First-in-Class Cancer Immunotherapy Products by Phase, Molecule Type and Molecular Target 42
6 Signaling Pathways, Disease-Causing Mutations and First-in-Class Molecular Target Integration 79
6.1 The Complexity of Signaling Networks in Oncology 79
6.2 Signaling Pathways, Disease-Causing Mutations and First-in-Class Molecular Target Integration 79
6.3 First-in-Class Target Matrix Assessment 79
7 First-in-Class Target Assessment 84
7.1 Pipeline Programs that Target Low-Affinity Immunoglobulin Gamma Fc Region Receptor IIIA 84
7.2 Pipeline Programs that Target Programmed Death 1 Ligand-2 85
7.3 Pipeline Programs that Target OX-2 Membrane Glycoprotein/CD200 87
7.4 Pipeline Programs that Target Killer-Cell Immunoglobulin-Like Receptors 88
7.5 Pipeline Programs that Target Toll-Like Receptors 89
7.6 Pipeline Programs that Target Inducible T-Cell Costimulator 92
7.7 Pipeline Programs that Target Membrane Cofactor Protein 93
7.8 Pipeline Programs that Target NKG2-A/NKG2-B Type II Integral Membrane Protein 95
7.9 Pipeline Programs that Target Stimulator of Interferon Genes Protein 96
7.10 Conclusion 98
8 Deals and Strategic Consolidations 99
8.1 Licensing Deals 99
8.2 Co-development Deals 105
9 Appendix 121
9.1 Abbreviations 121
9.2 References 122
9.3 Research Methodology 133
9.3.1 Data Integrity 133
9.3.2 Innovative and Meaningful Analytical Technique and Frameworks 134
9.3.3 Evidence-based Analysis and Insight 134
9.4 Secondary Research 134
9.4.1 Market Analysis 134
9.4.2 Pipeline Analysis 134
9.4.3 First-in-Class Matrix Assessment 134
9.4.4 First-in-Class Target Profiles 135
9.4.5 Licensing and Co-Development Deals 135
9.5 Contact Us 135
9.6 Disclaimer 135
1.1 List of Tables
Table 1: Epidemiology by Top 20 Most Common Cancer Sites, 2012 11
Table 2: Epidemiology by Top 20 Most Common Cancer Sites, 2012 12
Table 3: Epidemiology by Top 20 Most Common Cancer Sites, 2012 13
Table 4: Epidemiology by Top 20 Most Common Cancer Sites, 2012 14
Table 5: TNM Staging, 2015 23
Table 6: Karnofsky Scores and Equivalent ECOG Staging, 2015 25
Table 7: Optimal and Actual Radiation Therapy Usage Rates in US, 1995-2000 27
Table 8: Top 10 Cancer Types According to Treatment Demand Criteria, 2017 41
Table 9: Cancer Immunotherapies, Low-Affinity Immunoglobulin Gamma Gc Region Receptor IIIA as a Therapeutic Target, 2017 84
Table 10: Cancer Immunotherapies, Programmed Cell Death 1 Ligand 2 as a Therapeutic Target, 2017 86
Table 11: Cancer Immunotherapies, OX-2 Membrane Glycoprotein/CD200 as a Therapeutic Target, 2017 87
Table 12: Cancer Immunotherapies, Killer-Cell Immunoglobulin-Like Receptors as a Therapeutic Target, 2017 89
Table 13: Cancer Immunotherapies, Toll-Like Receptors as a Therapeutic Target, 2017 90
Table 14: Cancer Immunotherapies, Inducible T-Cell Costimulator as a Therapeutic Target, 2017 93
Table 15: Cancer Immunotherapies, Membrane Cofactor Protein as a Therapeutic Target, 2017 94
Table 16: Cancer Immunotherapies, NKG2-A/NKG2-B Type II Integral Membrane Protein as a Therapeutic Target, 2017 96
Table 17: Cancer Immunotherapies, Stimulator of Interferon Genes Protein as a Therapeutic Target, 2017 97
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