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Chapter 2 presents an executive summary of the report. It offers a high-level view on where the CSC therapy market is headed in the long term.
Chapter 3 provides a general introduction to the underlying concepts of CSC. In this section, we have briefly discussed the origin, properties, and techniques for identification and isolation of CSCs. The chapter covers details on the fundamentals of the various therapeutic strategies that are being designed against CSCs. These include signaling pathways such as the WNT pathway, Notch pathway, Hedgehog pathway, BMI-1 pathway, important regulatory factors that govern stemness in cancer cells, elements influencing the tumor microenvironment and important surface markers. In addition, the chapter highlights the challenges and future prospects associated with development of CSC therapeutics.
Chapter 4 provides a comprehensive overview of the current landscape of CSC therapeutics market. It includes information on potential drug candidates that are currently in different stages of development (both clinical and preclinical / discovery). It presents a detailed analysis of the pipeline of products in this domain, including information on the current phases of development, most common indications, target strategies, type of molecule, popular routes of administration, geographical distribution of the companies involved in this space. We have also highlighted the key players active in this domain.
Chapter 5 presents important insights from the current pipeline. The chapter features a detailed funnel analysis, highlighting the distribution of candidate drugs based on their target pathways, and highest phase of development. It also highlights the most popular targets within each therapeutic strategy. In addition, it features a competitive landscape of developers, along with information on each developer’s product portfolio, company size and the location of headquarters. In addition, this section features a bull’s eye analysis of the molecules that are in the clinical stage, highlighting the type of molecule and the highest phase of development.
Chapter 6 provides insights on the popularity of CSC therapieson the social media platform, Twitter. The section highlights the yearly distribution of tweets posted on the platform in the time period 2012-2017, and the most significant events responsible for increase / decrease in the volume of tweets each year. Additionally, the chapter showcases the most talked about therapeutic targets and the important indications, as observed on social media.
Chapter 7 provides a comprehensive publication analysis, highlighting the recent trends in published literature related to CSC therapies. The chapter provides details on novel methods, as well as the attempts that are being made to add value to the ongoing efforts within this domain.
Chapter 8 provides detailed profiles of the molecules that are either marketed, or in phase III of clinical development. Each profile provides information on the mechanism of action, current status of development, dosage form and treatment regimen, information on clinical studies and key clinical trial results of the drug. It also includes an overview of the developer, its financial details and an informed future outlook.
Chapter 9 presents brief profiles of the molecules that are in phase II of clinical development. Each profile provides information on the developer, mechanism of action of the molecule, route of administration, current status of development, clinical studies, key clinical trial results, recent collaborations, and drug-specific designations (if any).
Chapter 10 presents a comprehensive market forecast analysis, highlighting the future potential of the market till the year 2030. It includes future sales projections of CSC therapeutics that are either marketed or are in advanced stages of clinical development (phase II and phase III). The sales potential and growth opportunity were estimated based on the target patient population, likely adoption rates, existing / future competition from other drug classes and the likely price of products. The chapter also presents a detailed market segmentation on the basis of the key indications, important therapeutic strategies and the important players in the market.
Chapter 11 is a summary of the overall report. In this chapter, we have provided a list of key takeaways from the report, and expressed our independent opinion related to the research and analysis described in the previous chapters.
Chapter 12 is a collection of interview transcripts of the discussions held with key stakeholders in this market. In this chapter, we have presented the details of our conversations with ( in alphabetical order of company name ) Stephen Franklin (CEO, Evgen Pharma), Steven Swanson (Senior Vice President, ImmunoCellular Therapeutics) and Jaffer Ajani (Researcher at MD Anderson Cancer Center).
Chapter 13 is an appendix, which provides tabulated data and numbers for all the figures included in the report.
Chapter 14 is an appendix, which provides the list of companies and organizations mentioned in the report.
1. PREFACE
1.1. Scope of the Report
1.2. Research Methodology
1.3. Chapter Outlines
2. EXECUTIVE SUMMARY
3. INTRODUCTION
3.1. An Overview of Cancer
3.2. Tracing the Origins of Cancer
3.2.1. Origin of Cancer Stem Cells
3.2.1.1. Stem Cell Mutations
3.2.1.2. Adult Stem Cells
3.2.1.3. De-differentiation
3.2.2. Properties of Cancer Stem Cells
3.2.2.1. Self-renewal, Proliferation and Differentiation
3.2.2.2. Dysregulation of Molecular Signaling Pathways
3.2.2.3. Presence of Specific Surface Markers
3.2.2.4. Expression of Efflux Transporter
3.2.3. Identification of Cancer Stem Cells
3.3. Therapeutic Strategies for Targeting Cancer Stem Cells
3.3.1. Targeting Cancer Stem Cell Signaling Pathways
3.3.1.1. Hedgehog Signaling Pathway
3.3.1.2. Notch Signaling Pathway
3.3.1.3. Wnt Signaling Pathway
3.3.1.4. BMI1 Signaling Pathway
3.3.1.5. Cross-Talk Between Signaling Pathways
3.3.2. Targeting Cancer Stemness Factors
3.3.2.1. Nanog
3.3.2.2. Sox-2
3.3.2.3. Oct-4
3.3.2.4. Myc
3.3.2.5. Klf-4
3.3.3. Silencing Oncogenes
3.3.4. Targeting Cancer Stem Cell Surface Markers
3.3.5. Inhibiting ATP-Binding Cassette Transporters
3.3.6. Targeting the Tumor Microenvironment
3.3.7. Regulating Epigenetic Changes
3.3.8. Induction of Apoptosis in Cancer Stem Cells
3.3.9. Induction of Differentiation in Cancer Stem Cells
3.4. Future Perspectives
4. COMPETITIVE LANDSCAPE
4.1. Chapter Overview
4.2. Cancer Stem Cell Therapies: Development Pipeline
4.2.1. Distribution by Phase of Development
4.2.2. Distribution by Therapeutic Area
4.2.3. Distribution by Therapeutic Strategies
4.2.4. Distribution by Type of Molecule
4.2.5. Distribution by Route of Administration
4.2.6. Distribution by Geography of Developer
4.2.7. Most Active Industry Players
5. KEY INSIGHTS
5.1. Chapter Overview
5.2. Cancer Stem Cell Therapies: Clinical Development Analysis of Potential Target Pathways
5.3. Cancer Stem Cells Therapies: Clinical Development Analysis of Potential Molecular Targets
5.4. Cancer Stem Cell Therapies: Clinical Development Analysis based on Therapeutic Area, Type of Molecule and Phase of Development
5.5. Cancer Stem Cell Therapies: Product Competitiveness Analysis based on Developer Landscape
6. EMERGING TRENDS ON SOCIAL MEDIA
6.1. Chapter Overview
6.2 Cancer Stem Cells: Trends on Twitter
6.2.1. Year-wise Activity Analysis (2012-2017)
6.2.2. Popular Therapeutic Targets on Twitter
6.2.3. Popular Indications on Twitter
7. PUBLICATION ANALYSIS
7.1. Chapter Overview
7.2. Cancer Stem Cells: Publications Analysis
7.2.1. Analysis by Key Journals
7.2.2. Analysis by Most Popular Targets
8. MARKETED AND LATE-STAGE DRUGS: DETAILED PROFILES
8.1. Chapter Overview
8.2. Erivedge® / Vismodegib / GDC-0449 (Roche)
8.2.1. Product Description
8.2.2. Mechanism of Action
8.2.3. Current Status of Development
8.2.4. Key Clinical Trial Results
8.2.4.1. Basal Cell Carcinoma
8.2.5. Dosage, Sales and Manufacturing
8.2.6. Developer Overview
8.2.6.1. Financial Performance
8.2.6.2. Collaborations
8.2.6.3. Future Outlook
8.3. Odomzo® / Sonidegib / LDE225 (Novartis)
8.3.1. Product Description
8.3.2. Mechanism of Action
8.3.3. Current Status of development
8.3.4. Key Clinical Trial Results
8.3.4.1. Basal Cell Carcinoma
8.3.4.2. Myelofibrosis
8.3.5. Dosage, Sales and Manufacturing
8.3.6. Developer Overview
8.3.6.1. Financial Performance
8.3.6.2. Future Outlook
8.4. BL-8040 (BioLineRx)
8.4.1. Product Description
8.4.2. Mechanism of Action
8.4.3. Current Status of Development
8.4.4. Key Clinical Trial Results
8.4.4.1. Acute Myeloid Leukemia
8.4.5. Developer Overview
8.4.5.1. Financial Performance
8.4.5.2. Collaborations
8.4.5.3. Future Outlook
8.5. Imetelstat / GRN163L (Geron Corporation)
8.5.1. Product Description
8.5.2. Mechanism of Action
8.5.3. Current Status of Development
8.5.4. Key Clinical Trial Results
8.5.4.1. Myelodysplastic Syndromes
8.5.4.2. Myelofibrosis
8.5.4.3. Essential Thrombocythemia
8.5.5. Developer Overview
8.5.5.1. Financial Performance
8.5.5.2. Collaborations
8.5.5.3. Future Outlook
8.6. Napabucasin / BB-608 (Boston Biomedical)
8.6.1. Product Description
8.6.2. Mechanism of Action
8.6.3. Current Status of Development
8.6.4. Key Clinical Trial results
8.6.4.1. Gastric Cancer / Gastroesophageal Junction Carcinoma
8.6.4.2. Pancreatic Cancer
8.6.4.3. Colorectal Cancer
8.6.4.4. Metastatic Breast Cancer
8.6.4.5. Advanced Melanoma
8.6.4.6. Non-Small Cell Lung Cancer
8.6.5. Developer Overview
8.6.5.1. Financial Performance
8.6.5.2. Future Outlook
8.7. Rovalpituzumab Tesirine / Rova-T (AbbVie)
8.7.1. Product Description
8.7.2. Mechanism of Action
8.7.3. Current Status of Development
8.7.4. Key Clinical Trial Results
8.7.4.1. Small Cell Lung Cancer
8.7.5. Developer Overview
8.7.5.1. Financial Performance
8.7.5.2. Collaborations
8.7.5.3. Future Outlook
9. PHASE II MOLECULES: TABULATED PROFILES
9.1. Chapter Overview
9.2. Amcasertib / BBI-503 (Boston Biomedical)
9.3. AZD9150 / ISIS-STAT3-2.5Rx (Ionis Pharmaceuticals / AstraZeneca)
9.4. BHQ 880 (MorphoSys / Novartis)
9.5. CRLX 101 (Bluelink Pharma)
9.6. CX-02 (Cantex Pharmaceuticals)
9.7. Glasdegib / PF-04449913 (Pfizer)
9.8. GLG-801 (Genus Oncology)
9.9. GO-203 (GLG Pharma)
9.10. Ibrutinib (Janssen)
9.11. MDNA55 (Medicenna Therapeutics)
9.12. ONC201 (Oncoceutics)
9.13. Patidegib / IPI-926 / Saridegib (PellePharm)
9.14. PT2385 (Peloton Therapeutics)
9.15. Reparixin (Dompe Farmaceutici)
9.16. Sulforadex / SFX-01 (Evgen Pharma)
9.17. SUBA-Itraconazole (HedgePath Pharmaceuticals)
9.18. VicOryx (ORYX)
10. MARKET FORECAST AND OPPORTUNITY ANALYSIS
10.1. Chapter Overview
10.2. Scope and Limitations
10.3. Forecast Methodology
10.4. Overall Cancer Stem Cell Therapies Market, 2017-2030
10.4.1. Cancer Stem Cell Therapies Market: Distribution by Indication
10.4.2. Cancer Stem Cell Therapies Market: Distribution by Therapeutic Target
10.4.3. Cancer Stem Cell Therapies Market: Distribution by Type of Molecule
10.4.4. Cancer Stem Cell Therapies Market: Share of Products
10.5. Cancer Stem Cell Therapies Market: Individual Drug Forecasts
10.5.1. Erivedge® 10.5.1.1. Target Patient Population
10.5.1.2. Sales Forecast
10.5.2. Odomzo®
10.5.2.1. Target Patient Population
10.5.2.2. Sales Forecast
10.5.3. Napabucasin
10.5.3.1. Target Patient Population
10.5.3.2. Sales Forecast
10.5.4. BL-8040
10.5.4.1. Target Patient Population
10.5.4.2. Sales Forecast
10.5.5. Rova-T
10.5.5.1. Target Patient Population
10.5.5.2. Sales Forecast
10.5.6. Imetelstat
10.5.6.1. Target Patient Population
10.5.6.2. Sales Forecast
10.5.7. BHQ 880
10.5.7.1. Target Patient Population
10.5.7.2. Sales Forecast
10.5.8. CRLX101
10.5.8.1. Target Patient Population
10.5.8.2. Sales Forecast
10.5.9. Glasdegib / PF-04449913
10.5.9.1. Target Patient Population
10.5.9.2. Sales Forecast
10.5.10. Amcasertib / BBI503
10.5.10.1. Target Patient Population
10.5.10.2. Sales Forecast
10.5.11. CX-02
10.5.11.1. Target Patient Population
10.5.11.2. Sales Forecast
10.5.12. GLG-801
10.5.12.1. Target Patient Population
10.5.12.2. Sales Forecast
10.5.13. MDNA55
10.5.13.1. Target Patient Population
10.5.13.2. Sales Forecast
10.5.14. ONC201
10.5.14.1. Target Patient Population
10.5.14.2. Sales Forecast
10.5.15. Patidegib / IPI-926 / Saridegib
10.5.15.1. Target Patient Population
10.5.15.2. Sales Forecast
10.5.16. Reparixin
10.5.16.1. Target Patient Population
10.5.16.2. Sales Forecast
10.5.17. SUBA-Itraconazole
10.5.17.1. Target Patient Population
10.5.17.2. Sales Forecast
10.5.18. VicOryx
10.5.18.1. Target Patient Population
10.5.18.2. Sales Forecast
10.5.19. Sulforadex / SFX-01
10.5.19.1. Target Patient Population
10.5.19.2. Sales Forecast
10.5.20. Ibrutinib
10.5.20.1. Target Patient Population
10.5.20.2. Sales Forecast
10.5.21. PT2385
10.5.21.1. Target Patient Population
10.5.21.2. Sales Forecast
10.5.22. GO-203
10.5.22.1. Target Patient Population
10.5.22.2. Sales Forecast
10.5.23. AZD9150 / ISIS-STAT3-2.5Rx
10.5.23.1. Target Patient Population
10.5.23.2. Sales Forecast
11. CONCLUSION
11.1. Extensive Research is being Carried out to Harness the Therapeutic Potential Related to Targeting Cancer Stem Cells
11.2. Such Targeted Therapies have Garnered the Interest of both Industry and Non-Industry Players
11.3. With Two Marketed Products and Several Molecules in the Clinical / Preclinical Stages, the Pipeline Appears to be Promising
11.4. Majority of Drugs / Therapies are being Developed to Target Cancer Stem Cell Signaling Pathways
11.5. The Field has Witnessed the Establishment of Several Partnerships and Received Significant Support from Venture Capital Investors
11.6. With Promising Clinical Results, These Therapies are Poised to Achieve Accelerated Growth in the Foreseen Future
12. INTERVIEW TRANSCRIPTS
12.1. Chapter Overview
12.2. Stephen Franklin, CEO, Evgen Pharma
12.3. Steven Swanson, Senior Vice President, Research, ImmunoCellular Therapeutics
12.4. Jaffer Ajani, Researcher, MD Anderson Cancer Centre
13. APPENDIX 1: TABULATED DATA
14. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS
Figure 3.1 Global Cancer Incidence in 2016: Distribution by Type of Cancer
Figure 3.2 Comparison of Conventional Cancer Therapies with CSC Specific Therapy
Figure 3.3 Cancer Stem Cell Generation
Figure 3.4 Properties of Cancer Stem Cells
Figure 3.5 Molecular Pathways Influencing Cancer Stem Cell Renewal
Figure 3.6 Hedgehog Pathway: Signaling Cascade
Figure 3.7 Notch Signaling Pathway Inhibitors: Key Mechanisms of Action
Figure 3.8 Wnt Pathway: Signaling Cascade
Figure 3.9 BMI1 Signaling Cascade
Figure 3.10 Key Epigenetic Mechanisms
Figure 3.11 Apoptosis: Extrinsic and Intrinsic Pathways
Figure 4.1 Cancer Stem Cells: List of Related Targets
Figure 4.2 Cancer Stem Cell Therapies: Distribution by Phase of Development
Figure 4.3 Cancer Stem Cell Therapies: Distribution by Therapeutic Area
Figure 4.4 Cancer Stem Cell Therapies: Distribution by Therapeutic Strategies
Figure 4.5 Cancer Stem Cell Therapies: Distribution by Target Strategies and Phase of Development
Figure 4.6 Cancer Stem Cell Therapies: Distribution by Type of Molecule
Figure 4.7 Cancer Stem Cell Therapies: Distribution by Route of Administration
Figure 4.8 Cancer Stem Cell Therapies: Distribution by Geography of Developer
Figure 4.9 Cancer Stem Cell Therapies: Regional Landscape
Figure 4.10 Cancer Stem Cell Therapies: Most Active Industry Players
Figure 5.1 Cancer Stem Cell Therapies: Clinical Development Analysis of Potential Target Pathways
Figure 5.2 Cancer Stem Cells Therapies: Clinical Development Analysis of Potential Molecular Targets
Figure 5.3 Cancer Stem Cell Therapies: Clinical Development Analysis based on Therapeutic Area, Type of Molecule and Phase of Development
Figure 5.4 Cancer Stem Cell Therapies: Product Competitiveness Analysis based on Developer Landscape
Figure 6.1 Cancer Stem Cells: Trends on Twitter (2012-2017)
Figure 6.2 Cancer Stem Cells: Year-wise Trend by Number of Tweets (2012-2017)
Figure 6.3 Cancer Stem Cells: Popular Therapeutic Targets on Twitter
Figure 6.4 Cancer Stem Cells: Popular Indications on Twitter
Figure 7.1 Cancer Stem Cells: Year-Wise Trend of Number of Publications (2008-2016)
Figure 7.2 Cancer Stem Cells Publication Analysis: Key Journals
Figure 7.3 Cancer Stem Cells Publication Analysis: Most Popular Therapeutic Targets
Figure 8.1 Erivedge®: Annual Revenues, 2013-2016 (CHF Million)
Figure 8.2 Roche: Annual Revenues, 2012-H1 2017 (CHF Billion)
Figure 8.3 Novartis: Annual Revenues, 2011-H1 2017 (USD Billion)
Figure 8.4 Geron: Annual Revenues, 2012-H1 2017 (USD Million)
Figure 8.5 Sumitomo Dainippon Pharma: Annual Revenues, 2012-2016 (JPY Billion)
Figure 8.6 AbbVie: Annual Revenues, 2012-H1 2017 (USD Billion)
Figure 10.1 Overall Cancer Stem Cell Therapies Market (Till 2030): Base Scenario (USD Billion)
Figure 10.2 Cancer Stem Cell Therapies Market: Distribution by Indication, 2017, 2030 (USD Billion)
Figure 10.3 Cancer Stem Cell Therapies Market: Distribution by Molecular Target, 2017, 2030 (USD Billion)
Figure 10.4 Cancer Stem Cell Therapies Market: Distribution by Type of Molecule, 2017, 2030 (USD Billion)
Figure 10.5 Cancer Stem Cell Therapies Market: Leading Drug Candidates, 2017, 2024, 2030 (USD Billion)
Figure 10.6 Erivedge Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.7 Odomzo Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.8 Napabucasin Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.9 BL-8040 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.10 Rova-T Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.11 Imetelstat Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.12 BHQ 880 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.13 CRLX101 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.14 Glasdegib Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.15 Amcasertib Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.16 CX-02 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.17 GLG-801 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.18 MDNA55 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.19 ONC201 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.20 Patidegib Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.21 Reparixin Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.22 SUBA-Itraconazole Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.23 VicOryx Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.24 SFX-01 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.25 Ibrutinib Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.26 PT2385 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.27 GO-203 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 10.28 AZD9150 Sales Forecast (Till 2030): Base Scenario (USD Million)
Figure 11.1 Overall Cancer Stem Cell Therapies Market (USD Billion): 2017, 2023 and 2030
Table 3.1 Cancer Specific Cell Surface Markers
Table 4.1 Cancer Stem Cell Therapies: Development Pipeline
Table 7.1 Cancer Stem Cells: Publication Analysis
Table 8.1 Cancer Stem Cells: List of Molecules Profiled (Marketed and Phase III)
Table 8.2 Erivedge®: Current Status of Development
Table 8.3 Odomzo®: Current Status of Development
Table 8.4 BL-8040: Current Status of Development
Table 8.5 Imetelstat: Current Status of Development
Table 8.6 Napabucasin: Current Status of Development
Table 8.6 Rova-T: Current Status of Development
Table 9.1 Cancer Stem Cells: List of Molecules Profiled (Phase II)
Table 9.2 Amcasertib / BBI-503 (Boston Biomedical)
Table 9.3 AZD9150 / ISIS-STAT3-2.5Rx (Ionis Pharmaceuticals / AstraZeneca)
Table 9.4 BHQ 880 (MorphoSys / Novartis)
Table 9.5 CRLX 101 (Bluelink Pharma)
Table 9.6 CX-02 (Cantex Pharmaceuticals)
Table 9.7 Glasdegib / PF-04449913 (Pfizer)
Table 9.8 GLG-801 (Genus Oncology)
Table 9.9 GO-203 (GLG Pharma)
Table 9.10 Ibrutinib (Janssen)
Table 9.11 MDNA55 (Medicenna Therapeutics)
Table 9.12 ONC201 (Oncoceutics)
Table 9.13 Patidegib / IPI-926 / Saridegib (PellePharm)
Table 9.14 PT2385 (Peloton Therapeutics)
Table 9.15 Reparixin (Dompé Farmaceutici)
Table 9.16 Sulforadex / SFX-01 (Evgen Pharma)
Table 9.17 SUBA-Itraconazole (HedgePath Pharmaceuticals)
Table 9.18 VicOryx (ORYX)
Table 10.1 Cancer Stem Cell Therapies: Expected Launch Years of Advanced Stage Drug Candidates
Table 10.2 Erivedge®: Target Patient Population
Table 10.3 Odomzo®: Target Patient Population
Table 10.4 Napabucasin: Target Patient Population
Table 10.5 BL-8040: Target Patient Population
Table 10.6 Rova-T: Target Patient Population
Table 10.7 Imetelstat: Target Patient Population
Table 10.8 BHQ 880: Target Patient Population
Table 10.9 CRLX101: Target Patient Population
Table 10.10 Glasdegib: Target Patient Population
Table 10.11 Amcasertib: Target Patient Population
Table 10.12 CX-02: Target Patient Population
Table 10.13 GLG-801: Target Patient Population
Table 10.14 MDNA55: Target Patient Population
Table 10.15 ONC201: Target Patient Population
Table 10.16 Patidegib: Target Patient Population
Table 10.17 Reparixin: Target Patient Population
Table 10.18 SUBA-Itraconazole: Target Patient Population
Table 10.19 VicOryx: Target Patient Population
Table 10.20 SFX-01: Target Patient Population
Table 10.21 Ibrutinib: Target Patient Population
Table 10.22 PT2385: Target Patient Population
Table 10.23 GO-203: Target Patient Population
Table 10.24 AZD9150: Target Patient Population
Table 13.1 Global Cancer Incidence in 2016: Distribution by Type of Cancer
Table 13.2 Cancer Stem Cell Therapies: Distribution by Phase of Development
Table 13.3 Cancer Stem Cell Therapies: Distribution by Therapeutic Area
Table 13.4 Cancer Stem Cell Therapies: Distribution by Therapeutic Strategies
Table 13.5 Cancer Stem Cell Therapies: Distribution by Therapeutic Strategies and Phase of Development
Table 13.6 Cancer Stem Cell Therapies: Distribution by Type of Molecule
Table 13.7 Cancer Stem Cell Therapies: Route of Administration
Table 13.8 Cancer Stem Cell Therapies: Distribution by Geography of Developer
Table 13.9 Cancer Stem Cell Therapies: Most Active Industry Players
Table 13.1 Cancer Stem Cells: Year-wise Trend by Number of Tweets (2012-2017)
Table 13.11 Cancer Stem Cells: Year-Wise Trend of Number of Publications (2008-2016)
Table 13.12 Cancer Stem Cells Publication Analysis: Key Journals
Table 13.13 Erivedge®: Annual Sales, 2013-2016 (CHF Million)
Table 13.14 Roche: Annual Revenues, 2012-H1 2017 (CHF Billion)
Table 13.15 Novartis: Annual Revenues, 2011-H1 2017 (USD Billion)
Table 13.16 Geron: Annual Revenues, 2012-H1 2017 (USD Million)
Table 13.17 Sumitomo Dainippon Pharma: Annual Revenues, 2012-2016 (JPY Billion)
Table 13.18 AbbVie: Annual Revenues, 2012-H1 2017 (USD Billion)
Table 13.19 Overall Cancer Stem Cell Therapies Market (Till 2030): Base Scenario (USD Billion)
Table 13.20 Overall Cancer Stem Cell Therapies Market (Till 2030): Optimistic Scenario (USD Billion)
Table 13.21 Overall Cancer Stem Cell Therapies Market (Till 2030): Conservative Scenario (USD Billion)
Table 13.22 Cancer Stem Cell Therapies Market: Distribution by Indication, 2017-2030 (USD Billion)
Table 13.23 Cancer Stem Cell Therapies Market: Distribution by Therapeutic Target, 2017-2030 (USD Billion)
Table 13.24 Cancer Stem Cell Therapies Market: Distribution by Type of Molecule, 2017-2030 (USD Billion)
Table 13.25 Cancer Stem Cell Therapies Market: Leading Drug Candidates, 2017, 2024, 2030 (USD Billion)
Table 13.26 Erivedge® Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.27 Erivedge® Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.28 Erivedge® Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.29 Odomzo® Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.30 Odomzo® Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.31 Odomzo® Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.32 Napabucasin Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.33 Napabucasin Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.34 Napabucasin Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.35 BL-8040 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.36 BL-8040 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.37 BL-8040 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.38 Rova-T Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.39 Rova-T Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.40 Rova-T Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.41 Imetelstat Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.42 Imetelstat Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.43 Imetelstat Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.44 BHQ 880 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.45 BHQ 880 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.46 BHQ 880 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.47 CRLX101 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.48 CRLX101 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.49 CRLX101 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.50 Glasdegib Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.51 Glasdegib Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.52 Glasdegib Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.53 Amcasertib Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.54 Amcasertib Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.55 Amcasertib Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.56 CX-02 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.57 CX-02 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.58 CX-02 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.59 GLG-801 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.60 GLG-801 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.61 GLG-801 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.62 MDNA55 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.63 MDNA55 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.64 MDNA55 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.65 ONC201 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.66 ONC201 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.67 ONC201 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.68 Patidegib Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.69 Patidegib Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.70 Patidegib Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.71 Reparixin Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.72 Reparixin Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.73 Reparixin Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.74 SUBA-Itraconazole Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.75 SUBA-Itraconazole Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.76 SUBA-Itraconazole Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.77 VicOryx Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.78 VicOryx Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.79 VicOryx Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.80 SFX-01 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.81 SFX-01 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.82 SFX-01 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.83 Ibrutinib Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.84 Ibrutinib Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.85 Ibrutinib Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.86 PT2385 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.87 PT2385 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.88 PT2385 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.89 GO-203 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.90 GO-203 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.91 GO-203 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
Table 13.92 AZD9150 Sales Forecast (Till 2030): Base Scenario (USD Million)
Table 13.93 AZD9150 Sales Forecast (Till 2030): Optimistic Scenario (USD Million)
Table 13.94 AZD9150 Sales Forecast (Till 2030): Conservative Scenario (USD Million)
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