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市場調查報告書

Frontier Pharma:胰臟癌症 - First-in-Class的革新認識和商業化

Frontier Pharma: Pancreatic Cancer - Identifying and Commercializing First-in-Class Innovation

出版商 GBI Research 商品編碼 334128
出版日期 內容資訊 英文 88 Pages
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Frontier Pharma:胰臟癌症 - First-in-Class的革新認識和商業化 Frontier Pharma: Pancreatic Cancer - Identifying and Commercializing First-in-Class Innovation
出版日期: 2015年06月01日 內容資訊: 英文 88 Pages
簡介

胰臟癌症的開發平台,有對First-in-Class的分子標的起作用的185種產品,佔開發中產品整體的52%。

本報告提供胰臟癌症市場相關調查分析、革新案例、臨床、商業性情形、開發中產品的評估、計劃評估、最近的交易等相關的系統性資訊。

第1章 目錄

第2章 摘要整理

第3章 革新案例

  • 生技藥品的機會擴大
  • 分子標的多樣化
  • 創新的First-in-Class產品 (劃時代的醫藥品) 的開發現在也富有魅力
  • 法規、償付政策,對First-in-Class產品的革新有利
  • 持續性的革新
  • 報告指南

第4章 臨床、商業性情形

  • 疾病概要
  • 疾病的症狀
  • 流行病學
  • 病因
  • 病理生理學
  • 診斷
  • 預後
  • 治療的選項
  • 化療研究
  • 上市產品概要

第5章 開發中產品革新的評估

  • 胰臟癌症治療藥開發平台:各分子類型、階段、治療標的
  • 胰臟癌症治療藥市場上計劃比較分佈,開發平台:各治療標的系列
  • 由於新的分子標的First-in-Class開發平台計劃

第6章 信號傳達網路、病因、革新的調整

  • 腫瘤學的信號網路複雜
  • 信號途徑,成為疾病原因的變異,First-in-Class分子標的整合
  • First-in-Class標的矩陣的評估

第7章 First-in-Class標的評估

第8章 交易與策略性整合

  • 產業整體First-in-Class交易
  • 許可證交易
  • 共同開發交易
  • 不參與許可證/共同開發交易的First-in-Class計劃

第9章 附錄

圖表

目錄
Product Code: GBIHC362MR

Executive Summary

Pancreatic cancer is the 12th most common cancer globally, and the fourth most fatal, with a mortality rate of 10.9 deaths per 100,000 people per year. The poor prognosis of pancreatic cancer patients has highlighted a significant need for new and improved approaches to treatment, which is not being met by the current market.

A highly active pancreatic cancer pipeline contains an array of products with varying molecule types and mechanisms of action, which provides a striking contrast to the current, chemotherapy dominated, market. Within the pipeline, there are 185 products that act on a first-in-class molecular target, representing 52% of the total pancreatic cancer pipeline products that have a disclosed molecular target. A drastically different pipeline and market composition implies that the approach to pancreatic cancer treatment is changing and first-in-class innovation is playing a significant role in this.

Scope

  • Gemcitabine based regimens continue to dominate the market, which has seen few new entrants over the past decade. The continued reliance on generic chemotherapies is one reason why the prognosis has shown little improvement.
  • What survival benefits do current therapies provide?
  • What are the current unmet needs that the pipeline needs to address?
  • The pipeline contains a plethora of molecule types and molecular targets not present on the market, including a large focus on therapies targeting common oncogenic pathways and signaling intermediates such as PI3K/Akt.
  • What impact will the emergence of biologics have on the pancreatic cancer landscape?
  • Will pipeline diversity translate to clinically and commercially successful therapies?
  • How will the rise of novel molecular target categories, such as signal transduction, impact future treatment options?
  • 52% of pipeline products act on a first-in-class target, which is higher than the oncology and industry averages.
  • Do first-in-class products show strong progression into the later stages?
  • Why is the greatest number of first-in-class products seen in signal transduction?
  • Numerous early-stage, first-in-class products have high promise, often supported by preclinical evidence.
  • How well are first-in-class targets, such as Akt2, aligned to known disease causing pathways?
  • Does scientific literature provide significant rationale for therapies acting on early-stage promising, first-in-class targets?
  • What does preclinical data on Akt inhibition suggest about its potential as a target in pancreatic cancer?
  • Deals for first-in-class products typically take place in earlier stages than non-first-in-class counterparts, with 79% of first-in-class licensing deals occurring in Phase I or earlier.
  • To what extent does first-in-class status influence deal value?
  • Can biologics command a greater deal value than other molecule types?

Reasons to buy

This report will allow you to -

  • Understand the current clinical and commercial landscape. This includes a comprehensive study of disease pathogenesis, diagnosis, prognosis and the available treatment options available at each stage of diagnosis.
  • Visualize the composition of the pancreatic cancer 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 current market.
  • Analyze the pancreatic cancer pipeline, and stratify by stage of development, molecule type and molecular target. There are promising signs in the pipeline that the industry is seeking novel approaches the treating pancreatic cancer.
  • Assess the therapeutic potential of first-in-class targets. Using a proprietary matrix, first-in-class products have been assessed and ranked according to clinical potential.Promising targets, including MAP3K7 and P70-S6 Kinase 1 have been extensively reviewed using peer-reviewed literature and preclinical data.
  • Identify commercial opportunities in the pancreatic cancer deals landscape by analyzing trends in licensing and co-development deals and producing a curated list of pancreatic cancer therapies that are not yet involved in deals and may be potential investment opportunities.

Table of Contents

1. Table of Contents

  • 1.1. List of Tables
  • 1.2. List of Figures

2. Executive Summary

  • 2.1. Large and Diverse Pipeline Contrasts the Limited Market
  • 2.2. Pancreatic Cancer Shows High Levels of First-in-Class Innovation
  • 2.3. High Deal Activity Reflects Dynamic Pipeline

3. The Case for Innovation

  • 3.1. Growing Opportunities for Biologic Products
  • 3.2. Diversification of Molecular Targets
  • 3.3. Innovative First-in-Class Product Developments Remain Attractive
  • 3.4. Regulatory and Reimbursement Policy Shifts Favor First-in-Class Product Innovation
  • 3.5. Sustained Innovation
  • 3.6. GBI Research Report Guidance

4. Clinical and Commercial Landscape

  • 4.1. Disease Overview
  • 4.2. Disease Symptoms
  • 4.3. Epidemiology
  • 4.4. Etiology
    • 4.4.1. Risk Factors
    • 4.4.2. Medical Conditions Leading to Pancreatic Cancer
    • 4.4.3. Genetic Conditions Leading to Pancreatic Cancer
    • 4.4.4. Conclusion
  • 4.5. Pathophysiology
    • 4.5.1. Frequently Dysregulated Pathways
    • 4.5.2. Oncogenes
    • 4.5.3. Tumor Suppressor Genes
  • 4.6. Diagnosis
  • 4.7. Prognosis
  • 4.8. Treatment Options
    • 4.8.1. Surgery
    • 4.8.2. Radiation therapy
    • 4.8.3. Chemotherapy
  • 4.9. Chemotherapeutic Treatment Algorithm
    • 4.9.1. Adjuvant Chemotherapy in Operable Early-Stage Disease
    • 4.9.2. First-Line Treatment of Inoperable Advanced Disease
    • 4.9.3. Second-Line Therapy in Inoperable Advanced Disease
  • 4.10. Overview of Marketed Products in Pancreatic Cancer
    • 4.10.1. Molecule Type and Target Analysis
    • 4.10.2. Innovative Products in the Pancreatic Cancer Market
    • 4.10.3. Unmet Needs

5. Assessment of Pipeline Product Innovation

  • 5.1. Pancreatic Cancer Pipeline by Molecule Type, Phase and Therapeutic Target
  • 5.2. Comparative Distribution of Programs between the Pancreatic Cancer Market and Pipeline by Therapeutic Target Family
  • 5.3. First-in-Class Pipeline Programs Targeting Novel Molecular Targets

6. Signaling Network, Disease Causation and Innovation Alignment

  • 6.1. The Complexity of Signaling Networks in Oncology
  • 6.2. Signaling Pathways, Disease-Causing Mutations and First-in-Class Molecular Target Integration
  • 6.3. First-in-Class Target Matrix Assessment

7. First-in-Class Target Evaluation

  • 7.1. Pipeline Programs Targeting HER3
  • 7.2. Pipeline Programs Targeting Akt2KKKKK and Akt3
  • 7.3. Pipeline Programs Targeting P70-S6KKKKK Kinase 1
  • 7.4. Pipeline Programs Targeting Prostaglandin E2KKKKK Receptor EP4KKKKK Subtype
  • 7.5. Pipeline Programs Targeting Ghrelin Receptor
  • 7.6. Pipeline Programs Targeting Neurotensin Receptor 1
  • 7.7. Pipeline Programs Targeting CD40
  • 7.8. Pipeline Programs Targeting High-Affinity Nerve Growth Factor Receptor
  • 7.9. Pipeline Programs Targeting Protein Kinase C Alpha
  • 7.10. Pipeline Programs Targeting MAP3K7
  • 7.11. Conclusion

8. Deals and Strategic Consolidations

  • 8.1. Industry-Wide First-in-Class Deals
  • 8.2. Licensing Deals
    • 8.2.1. Licensing Deals by Molecule Type
    • 8.2.2. Licensing Deals by Molecular Target
  • 8.3. Co-development Deals
    • 8.3.1. Co-development Deals by Molecule Type
    • 8.3.2. Co-development Deals by Molecular Target
  • 8.4. First-in-Class Programs Not Involved in Licensing or Co-Development Deals

9. Appendix

  • 9.1. References
  • 9.2. Abbreviations
  • 9.3. Contact Us
  • 9.4. Disclaimer

List of Tables

  • Table 1: Tumor Node Metastasis Classification
  • Table 2: Pancreatic Cancer Therapeutics, ECOG Performance Status Scores and Description
  • Table 3: Pancreatic Cancer Therapeutics, Common Endpoints in Oncology Clinical Trials and their Description
  • Table 4: Pancreatic Cancer Therapeutics, Efficacy of Gemcitabine Monotherapy
  • Table 5: Pancreatic Cancer Therapeutics, Efficacy of Gemcitabine Monotherapy
  • Table 6: Pancreatic Cancer Therapeutics, Efficacy of Gemcitabine in Combination with Eloxatin
  • Table 7: Pancreatic Cancer Therapeutics, Efficacy of Gemcitabine in Combination with Cisplatin
  • Table 8: Pancreatic Cancer Therapeutics, Typical Dosing of Teysuno based on Body Surface Area of Patient
  • Table 9: Pancreatic Cancer Therapeutics, Adverse Events Associated with Gemcitabine Monotherapy, Teysuno Monotherapy, and with their Combination
  • Table 10: Pancreatic Cancer Therapeutics, Improvements in Overall Survival with Gemcitabine Drug Combinations

List of Figures

  • Figure 1: Innovation Trends in Product Approvals
  • Figure 2: Sales Performance of First-in-Class and Non-First-in-Class Product Post Marketing Approval
  • Figure 3: Genetically Altered Signaling Pathways in Pancreatic Cancer
  • Figure 4: Overview of Marketed Products in Pancreatic Cancer
  • Figure 5: Overview of Pipeline Products
  • Figure 6: Breakdown of Pipeline Molecular Targets
  • Figure 7: Pipeline Products by Stage and Molecular Target
  • Figure 8: Molecular Target Family Comparison, Pipeline and Marketed Products
  • Figure 9: Molecular Target Family Comparison, Pipeline First-in-Class and Established Molecular Targets
  • Figure 10: Percentage of First-in-Class Products within Pancreatic Cancer Pipeline Molecular Target Families
  • Figure 11: Percentage of First-in-Class Products within Pancreatic Cancer Pipeline Stages of Development
  • Figure 12: List of First-in-Class Products (Part 1)
  • Figure 13: List of First-in-Class Products (Part 2)
  • Figure 14: List of First-in-Class Products (Part 3)
  • Figure 15: Pancreatic Cancer Signaling Network Assessment (Part 1)
  • Figure 16: Pancreatic Cancer Signaling Network Assessment (Part 2)
  • Figure 17: Pancreatic Cancer Target Matrix Assessment (Part 1)
  • Figure 18: Pancreatic Cancer Target Matrix Assessment (Part 2)
  • Figure 19: Pancreatic Cancer Target Matrix Assessment (Part 3)
  • Figure 20: Pancreatic Cancer Target Matrix Assessment (Part 4)
  • Figure 21: Data and Evidence for ErbB3 as a Therapeutic Target
  • Figure 22: Pipeline Products Targeting ErbB3
  • Figure 23: Data and Evidence for Akt as a Therapeutic Target
  • Figure 24: Pipeline Products Targeting Akt2 and Akt3
  • Figure 25: Data and Evidence for P70-S6 Kinase 1 as a Therapeutic Target
  • Figure 26: Pipeline Products Targeting P70-S6 Kinase 1
  • Figure 27: Data and Evidence for PGE2 as a Therapeutic Target
  • Figure 28: Pipeline Products Targeting PGE2
  • Figure 29: Data and Evidence for Ghrelin as a Therapeutic Target
  • Figure 30: Pipeline Products Targeting Ghrelin Receptor
  • Figure 31: Data and Evidence for NTR1 as a Therapeutic Target
  • Figure 32: Pipeline Products Targeting NTR1
  • Figure 33: Pipeline Products Targeting CD40
  • Figure 34: Data and Evidence for High-Affinity NGF Receptor as a Therapeutic Target
  • Figure 35: Pipeline Products Targeting High-Affinity NGF Receptor
  • Figure 36: Data and Evidence for PKC Alpha as a Therapeutic Target
  • Figure 37: Pipeline Products Targeting PKC Alpha
  • Figure 38: Data and Evidence for MAP3K7 as a Therapeutic Target
  • Figure 39: Pipeline Products Targeting MAP3K7
  • Figure 40: Industry-Wide Deals by Stage of Development, 2006-2014
  • Figure 41: Industry Licensing Deal Values by Stage of Development, 2006-2014
  • Figure 42: Pancreatic Cancer Licensing Deal Values
  • Figure 43: Pancreatic Cancer Licensing Deals by Year
  • Figure 44: Pancreatic Cancer Licensing Deals by Phase
  • Figure 45: Pancreatic Cancer Licensing Deals by Global Distribution
  • Figure 46: Pancreatic Cancer Licensing Deals by Molecule Type
  • Figure 47: Pancreatic Cancer Licensing Deal Value by Molecular Target Category
  • Figure 48: Pancreatic Cancer Co-development Deal Values
  • Figure 49: Pancreatic Cancer Co-development Deals by Year
  • Figure 50: Pancreatic Cancer Co-development Deals by Phase
  • Figure 51: Pancreatic Cancer Co-development Deals by Global Distribution
  • Figure 52: Pancreatic Cancer Co-development Deals by Molecule Type
  • Figure 53: Pancreatic Cancer Co-development Deal Value by Molecular Target
  • Figure 54: Pancreatic Cancer First-in-Class Therapies not Involved in Deals (Part 1)
  • Figure 55: Pancreatic Cancer First-in-Class Therapies not Involved in Deals (Part 2)
  • Figure 56: Pancreatic Cancer First-in-Class Therapies not Involved in Deals (Part 3)
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