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Report Description
The concept of undruggable targets is a misconception. All molecules, including proteins, receptors, lipids and antibodies, can be targeted. However, new technology platforms are required to develop drug candidates against difficult-to-modulate targets.
-Chief Executive Officer, a Spain based company
Cancer therapeutics continues to be one of the most active segments, in terms of drug development efforts, within the pharmaceutical industry. In fact, in the past five years, USFDA has approved more than 70 drugs for the treatment of different types of cancer. However, there is still a pressing need to develop more specific and potent therapeutics to combat this complex, life threatening clinical condition. According to the National Institutes of Health, the economic burden of cancer care in the US was estimated to be over USD 147 billion in 2017. As the global population continues to increase, the number of cancer patients is likely to rise as well; by 2030, it is estimated that about 21.6 million people are likely to be newly diagnosed with the disease. Thereby, the overall global economic burden related to the disease is anticipated to increase significantly in the foreseen future.
Conventional cancer treatments, such as chemotherapy and radiation therapy are associated with several side effects. Their non-specific nature has been shown to have severe detrimental effects on patients’ quality of life. Current drug development initiatives are focused on targeted therapies against specific oncogenic mutations that are responsible for disease development and / or progression. Over the years, several targeted drugs have been designed against specific proteins, such as human epidermal growth factor (HER2), BCR-ABL protein kinase and vascular endothelial growth factor (VEGF). However, certain biological targets have long eluded drug development efforts and, for a considerable period of time, have been reported to be undruggable. One such target is Ras family, which has been identified to a play critical role in oncogenesis. Scientific literature suggests that the RAS gene is mutated across about 30% of cancer types; the mutation is known to be present in about 90% of pancreatic cancers, over 50% of colorectal cancers and 35% of lung cancers. Likewise, there are several other targets that have not yet been successfully drugged and researchers are making significant efforts to identify novel approaches to target them.
Advances in drug discovery and development technologies / platforms have increased the likelihood of targeting a number of the abovementioned types of biological targets. As a result, novel product development opportunities have emerged and are likely to benefit both drug developers and investors alike. Ongoing R&D is focused on the development of treatment modalities that can also combat complications, such as off target toxicities and disease relapse, which are associated with the current standard of care therapies. As various clinical stage candidates progress towards advanced stages of development, we expect the market to witness aggressive growth over the coming years.
Scope of the Report
The ‘New Frontiers in Cancer Therapies: Focus on Transcription Factors, GTPases, Phosphatases and GPCRs, 2018-2030’ report provides a comprehensive study on the current market and therapeutic potential of the various pharmacological interventions designed against difficult-to-modulate cancer targets. It features an elaborate discussion on the future potential of this evolving domain, focusing on phosphatases, transcription factors, small GTPases (specifically Ras family) and undruggable G-protein coupled receptors (GPCRs). One of the key objectives of the study was to review and quantify the future opportunity for the ongoing product development programs of both small and big pharmaceutical firms. Amongst other elements, the report features:
One of the key objective of the report was to understand the primary growth drivers and estimate the future size of the market. Based on parameters, such as target consumer segments, likely adoption rates and expected pricing, we have provided an informed estimate of the likely evolution of the market in the short to long-term, for the period 2018 to 2030. To account for the uncertainties associated with the development of cancer therapeutics and to add robustness to our model, we have provided three forecast scenarios, portraying the conservative, base and optimistic tracks of the market’s evolution.
The research, analysis and insights presented in this report is backed by a deep understanding of insights gathered both from secondary and primary sources. The opinions and insights presented in this study were influenced by discussions conducted with several key players in this domain. The report features detailed transcripts of interviews held with Amotz Shemi (CEO, Silenseed), Brian Frenzel (President and CEO, Tosk), Miguel Vega (CEO, Allinky Biopharma) and Stephen Franklin (CEO, Evgen Pharma). All actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. Financial figures mentioned in this report are in USD, unless otherwise specified.
Contents
Chapter 2 provides an executive summary of the insights captured during our research. It offers a high-level view on the likely evolution of the drugs against difficult-to-modulate targets to treat various cancer indications in the mid to long term.
Chapter 3 provides a general overview of certain biological targets (along with descriptions of the broader target families) that are considered as undruggable,and associated with various cancers. In addition, it features information on the currently available treatment modalities that are used to treat cancers. The chapter also highlights the key benefits offered by various targeted anti-cancer therapies. The focus of the report is on difficult-to-modulate phosphatases, transcription factors, small GTPases (specifically Ras family) and GPCRs.
Chapter 4 provides a comprehensive overview of the current landscape of therapies against difficult-to-modulate cancer targets. It includes information on over 100 drug candidates that are currently in various stages of (clinical / preclinical) development. It features a comprehensive analysis of the various pipeline molecules, highlighting affiliated drug developers, phase(s) of development, type of molecule, biological target, target protein family, target therapeutic indication(s), mechanism of action and route of administration.
Chapter 5 contains detailed profiles of active players ( selected based on pipeline strength ) that are involved in developing therapeutics against difficult-to-modulate targets. Each profile includes an overview of the company, its technology ( wherever available ) and details of its product portfolio. In addition, we have profiled the advanced phase drugs (phase II and above) that are in the pipeline of each of the companies included in this section. Drug profiles contain information on clinical development status, clinical trial details and recent developments.
Chapter 6 provides a list of technologies / platforms that have been developed to discover and / or develop therapeutics against various difficult-to-modulate cancer targets. It features a comparative analysis of the technologies, based on ongoing development activity related to a specific technology ( in terms of number of drugs across different phases of development ), number of partnerships established related to the technology and the size of the company. In addition, the chapter features a detailed logo landscape of various types of technology providers, distributed on the basis of their respective geographical locations.
Chapter 7 features a publication analysis highlighting the recent trends related to undruggable cancer targets in published literature. The chapter provides details on novel methods, as well as the attempts that are being made to add value to ongoing research efforts within this domain. In addition, it provides details on the various grants received by different organizations between 2017 to 2018.
Chapter 8 presents details on investments made into companies that are engaged in this domain. It includes a detailed analysis of the various funding instances that have taken place in the period between January 2014 to April 2018, highlighting the growing interest of the venture capital community and other strategic investors in this market.
Chapter 9 features an elaborate discussion and analysis of the various collaborations and partnerships that have been inked amongst stakeholders in this market. In this section, we have also described the different partnership models (including R&D agreements, technology / product licensing agreements, product development and commercialization agreements, clinical trial collaborations and merger / acquisitions) adopted by collaborating entities, highlighting the most common forms of deals / agreements that have been established in the period between 2014 to 2018.
Chapter 10 presents a comprehensive market forecast analysis, highlighting the future potential of the market till the year 2030. It includes sales projections of therapies against difficult-to-modulate cancer targets that have progressed to advanced clinical stages of development (phase I/II and above). The projections take into consideration the target patient population, likely adoption rates, existing / future competition from competing drug classes and the likely price of products. The chapter also presents a detailed market segmentation on the basis of target family, type of molecule, key therapeutic indications and geographical distribution. In addition, it provides information on the net present value of the aforementioned drug candidates.
C hapter 11 is a compilation of key insights derived from the study. It presents a review of the regional landscape of companies engaged in developing therapeutics for undruggable targets, based on their location and cumulative pipeline strength. The chapter also features a bull’s eye analysis, representing the distribution of drug candidates on the basis of their phase of development, target protein family and type of molecule. Additionally, the chapter features a spider-web analysis and bubble analysis, which highlight the activity of difficult-to-modulate targets. The parameters considered for these analyses include number of drug candidates, active clinical trials, publications, target indications and the companies that are involved in this domain.
Chapter 12 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 13 is a collection of interview transcripts of the discussions that were held with key stakeholders in this market. The chapter provides details of interviews held with Amotz Shemi (CEO, Silenseed), Brian Frenzel (President and CEO, Tosk) Miguel Vega (CEO, Allinky Biopharma) and Stephen Franklin (CEO, Evgen Pharma).
Chapter 14 is an appendix, which provides tabulated data and numbers for all the figures included in the report.
Chapter 15 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. Chapter Overview
3.2. An Overview on the History of Cancer
3.3. Biological Characteristics Exhibited by Cancer Cells
3.4. Treatment Modalities for Cancer
3.5. Targeted Therapies
3.6. Cancer Targets: Focus on Transcription Factors, GTPases, Phosphatases and G-Protein Coupled Receptors (GPCRs)
3.7. Types of Undruggable Cancer Targets
3.7.1. Transcription Factors
3.7.2. GTPases
3.7.3. Phosphatases
3.7.4. GPCRs
3.8. Conclusion
4. MARKET LANDSCAPE
4.1. Chapter Overview
4.2. Overall Market
4.3. Clinical Pipeline
4.3.1. Analysis by Target Indication
4.3.2. Analysis by Type of Molecule
4.3.3. Analysis by Route of Administration
4.3.4. Analysis by Target Family
4.4. Preclinical Pipeline
4.4.1. Analysis by Target Indication
4.4.2. Analysis by Type of Molecule
4.4.3. Analysis by Target Family
5. COMPANY PROFILES
5.1. Chapter Overview
5.2. Boston Biomedical
5.2.1. Company Overview
5.2.2. Product Portfolio
5.2.3. Future Outlook
5.3. GLG Pharma
5.3.1. Company Overview
5.3.2. Product Portfolio
5.3.3. Future Outlook
5.4. GlobeImmune
5.4.1. Company Overview
5.4.2. Product Portfolio
5.4.3. Future Outlook
5.5. Ionis Pharmaceuticals
5.5.1. Company Overview
5.5.2. Product Portfolio
5.5.3. Future Outlook
5.6. Onconova Therapeutics
5.6.1. Company Overview
5.6.2. Product Portfolio
5.6.3. Future Outlook
5.7. Targovax
5.7.1. Company Overview
5.7.2. Product Portfolio
5.7.3. Future Outlook
6. TECHNOLOGY LANDSCAPE
6.1. Chapter Overview
6.2. Overall Landscape of Technologies
6.3. Drug Discovery Platforms
6.3.1. 3-Dimensional Bubble Analysis
6.3. Drug Development Platforms
7. PUBLICATION AND GRANT ANALYSIS
7.1. Chapter Overview
7.2. List of Publications
7.2.1. Analysis by Year of Publication
7.2.2. Analysis by Key Journals
7.2.3. Analysis by Popular Targets
7.2.4. Analysis by Popular Drug Classes
7.2.5. Analysis by Target Indications
7.3. List of Grants
7.3.1. Analysis by Types of Grants
7.3.2. Analysis by Key Research Areas
7.3.3. Analysis by Most Active Players
8. VENTURE FUNDING AND INVESTMENT ANALYSIS
8.1. Chapter Overview
8.2. Types of Funding
8.3. Funding and Investment Analysis
8.3.1. Analysis by Year of Funding Instances
8.3.2. Analysis by Amount Invested
8.3.3. Analysis by Type of Funding
8.3.4. Analysis by Number of Instances and Amount Invested: Most Active Players
8.3.5. Analysis by Number of Funding Instances: Most Active Investors
8.3.6. Analysis by Geography
9. PARTNERSHIP AND COLLABORATION ANALYSIS
9.1. Chapter Overview
9.2. Types of Partnership Models
9.3. List of Partnerships
9.3.1. Analysis by Year of Partnership
9.3.2. Analysis by Type of Partnership Model
9.3.3. Analysis by Key Focus Area
9.3.4. Analysis by Number of Partnerships: Most Active Players
10. MARKET SIZING AND OPPORTUNITY ANALYSIS
10.1. Chapter Overview
10.2. Forecast Methodology
10.3. Overall Market, 2020-2035
10.3.1. Overall Market: Distribution by Target Indication
10.3.2. Overall Market: Distribution by Type of Molecules
10.3.3. Overall Market: Distribution by Type of Biological Target
10.3.4. Overall Market: Distribution by Target Family
10.3.5. Overall Market: Distribution by Route of Administration
10.3.6. Overall Market: Distribution by Geography
10.4. Product-wise Sales Forecast
10.4.1. Napabucasin
10.4.1.1. Target Patient Population
10.4.1.2. Sales Forecast
10.4.1.3. Net Present Value
10.4.2. Rigosertib™
10.4.2.1. Target Patient Population
10.4.2.2. Sales Forecast
10.4.2.3. Net Present Value
10.4.3. BL-8040 / BKT140
10.4.3.1. Target Patient Population
10.4.3.2. Sales Forecast
10.4.3.3. Net Present Value
10.4.4. CX-01
10.4.4.1. Target Patient Population
10.4.4.2. Sales Forecast
10.4.4.3. Net Present Value
10.4.5. Danvatirsen
10.4.5.1. Target Patient Population
10.4.5.2. Sales Forecast
10.4.5.3. Net Present Value
10.4.6. GI-4000
10.4.6.1. Target Patient Population
10.4.6.2. Sales Forecast
10.4.6.3. Net Present Value
10.4.7. GI-6301
10.4.7.1. Target Patient Population
10.4.7.2. Sales Forecast
10.4.7.3. Net Present Value
10.4.8. siG12D LODER
10.4.8.1. Target Patient Population
10.4.8.2. Sales Forecast
10.4.8.3. Net Present Value
10.4.9. GLG-801
10.4.9.1. Target Patient Population
10.4.9.2. Sales Forecast
10.4.9.3. Net Present Value
10.4.10. TG01
10.4.10.1. Target Patient Population
10.4.10.2. Sales Forecast
10.4.10.3. Net Present Value
10.4.11. X4P-001-IO
10.4.11.1. Target Patient Population
10.4.11.2. Sales Forecast
10.4.11.3. Net Present Value
10.4.12. WP1066
10.4.12.1. Target Patient Population
10.4.12.2. Sales Forecast
10.4.12.3. Net Present Value
11. KEY INSIGHTS
11.1. Chapter Overview
11.2. Key Cancer Targets: Analysis of Pipeline Candidates by Phase of Development and Target Family
11.3. Key Cancer Targets: Analysis of Pipeline Candidates by Type of Targets
11.4. Key Cancer Targets: Geographical Landscape of Developers
12. CONCLUSION
12.1. Extensive Research has Paved the Way for the Discovery of Viable Therapeutic Strategies Against Difficult-to-Modulate Biological Targets
12.2. The Market is Characterized by a Robust Pipeline, Featuring Drug Candidates Against Different Protein from a Variety of Difficult-to-Modulate Cancer Targets
12.3. In Addition to Established Players, a Number of Start-ups have made Significant Contributions in this Domain
12.4. Support from Various Private and Public Investors and Establishment of Several Partnerships have Fostered Innovation Related to Drug Development
12.5. Novel Technology Platforms are Expected to Act as Vital Enablers of Growth; Most of These Players are Presently Based in North America
12.6. Post the Approval of Multiple Late-Phase Product Candidates, the Market is Anticipated to Grow at a Significant Pace in the Foreseen Future
13. INTERVIEW TRANSCRIPTS
13.1. Chapter Overview
13.2. Allinky Biopharma
13.2.1. Company Snapshot
13.2.2. Interview Transcript: Miguel Vega, Chief Executive Officer
13.1. Evgen
13.3.1. Company Snapshot
13.3.2. Interview Transcript: Stephen Franklin, Chief Executive Officer
13.3. Silenseed
13.3.1. Company Snapshot
13.3.2. Interview Transcript: Amotz Shemi, Chief Executive Officer
13.4. TOSK
13.4.1. Company Snapshot
13.4.2. Interview Transcript: Brian Frenzel, President and Chief Executive Officer
14. APPENDIX 1: TABULATED DATA
15. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS
Figure 3.1 Biological Characteristics Exhibited by Cancer Cells
Figure 3.2 Global Cancer Incidence
Figure 3.3 Types of Cancer Treatment
Figure 3.4 Difficult-to-Modulate Cancer Targets: Transcription Factors
Figure 3.5 Cell Proliferation Pathway of Normal and Mutant Ras Protein
Figure 3.6 Difficult-to-Modulate Cancer Targets: Phosphatases
Figure 3.7 Difficult-to-Modulate Cancer Targets: Transcription Factors
Figure 4.1 Overall Pipeline: Distribution by Phase of Development
Figure 4.2 Overall Pipeline: Distribution by Target Indication
Figure 4.3 Overall Pipeline: Distribution by Biological Target
Figure 4.4 Clinical Pipeline: Distribution by Target Indication
Figure 4.5 Clinical Pipeline: Distribution by Type of Molecule
Figure 4.6 Clinical Pipeline: Distribution by Route of Administration
Figure 4.7 Clinical Pipeline: Distribution by Target Family
Figure 4.8 Preclinical / Discovery Pipeline: Distribution by Target Indication
Figure 4.9 Preclinical / Discovery Pipeline: Distribution by Type of Molecule
Figure 4.10 Preclinical / Discovery Pipeline: Distribution by Target Family
Figure 5.1 Drug Developers: Competitive Landscape
Figure 5.2 Boston Biomedical: Product Portfolio
Figure 5.3 GLG Pharma: Product Portfolio
Figure 5.4 GlobeImmune: Product Portfolio
Figure 5.5 Ionis Pharmaceuticals: Product Portfolio
Figure 5.6 Onconova Therapeutics: Product Portfolio
Figure 5.7 Targovax: Product Portfolio
Figure 6.1 Technology Platforms: Geographical Distribution of Developers
Figure 6.2 Technology Platforms: Distribution by Type of Technology
Figure 6.3 Drug Discovery Platforms: 3-Dimensional Bubble Analysis
Figure 7.1 Publications: Year-wise Distribution
Figure 7.2 Publications: Popular Journals
Figure 7.3 Publications: Popular Targets
Figure 7.4 Publications: Popular Drug Classes
Figure 7.5 Publications: Target Indication
Figure 7.6 Grants: Types of Grants
Figure 7.7 Grants: Key Research Areas
Figure 7.8 Grants: Most Active Players
Figure 8.1 Funding Instances: Distribution by Year, 2014-2018
Figure 8.2 Funding Instances: Distribution by Amount Invested by Year, 2014-2018 (USD Million)
Figure 8.3 Funding Instances: Distribution by Type of Funding
Figure 8.4 Funding Instances: Distribution by Amount Invested and Type of Funding (USD Million)
Figure 8.5 Funding Instances: Most Active Players
Figure 8.6 Funding Instances: Most Active Investors
Figure 8.7 Funding Instances: Summary
Figure 8.8 Funding Instances: Distribution by Geography and Amount Invested (USD Million)
Figure 8.9 Funding Instances: Distribution by geography and Number of Instances
Figure 9.1 Partnerships: Distribution by Year, 2014-2018
Figure 9.2 Partnerships: Distribution by Type of Collaboration
Figure 9.3 Partnerships: Distribution by Key Focus Area
Figure 9.4 Partnerships: Most Active Players
Figure 10.1 Price Point Variations Across Various Geographies
Figure 10.2 Global Market, 2020-2035 (USD Million)
Figure 10.3 Global Market: Distribution by Target Indication, 2025, 2030 and 2035
Figure 10.4 Overall Market for Colorectal Cancer: Base Scenario, 2020-2035 (USD Million)
Figure 10.5 Overall Market for Myelodysplastic Syndrome: Base Scenario, 2021-2035 (USD Million)
Figure 10.6 Overall Market for Pancreatic Cancer: Base Scenario, 2021-2035 (USD Million)
Figure 10.7 Overall Market for Leukemia: Base Scenario, 2023-2035 (USD Million)
Figure 10.8 Overall Market for Chordoma: Base Scenario, 2024-2035 (USD Million)
Figure 10.9 Overall Market for Clear Cell Renal Cell Carcinoma: Base Scenario, 2025-2035 (USD Million)
Figure 10.10 Overall Market for Head and Neck Squamous Cell Carcinoma: Base Scenario, 2025-2035 (USD Million)
Figure 10.11 Overall Market for Non-Small Cell Lung Cancer: Base Scenario, 2025-2035 (USD Million)
Figure 10.12 Overall Market for Glioblastoma: Base Scenario, 2027-2035 (USD Million)
Figure 10.13 Global Market: Distribution by Type of Molecules, 2025, 2030 and 2035
Figure 10.14 Overall Market for Small Molecules: Base Scenario, 2020-2035 (USD Million)
Figure 10.15 Overall Market for Oligonucleotides: Base Scenario, 2022-2035 (USD Million)
Figure 10.16 Overall Market for Proteins: Base Scenario, 2023-2035 (USD Million)
Figure 10.17 Overall Market for Therapeutic Vaccines: Base Scenario, 2024-2035 (USD Million)
Figure 10.18 Overall Market for Polysaccharides: Base Scenario, 2027-2035 (USD Million)
Figure 10.19 Global Market: Distribution by Biological Targets, 2025, 2030 and 2035
Figure 10.20 Overall Market for STAT3: Base Scenario, 2020-2035 (USD Million)
Figure 10.21 Overall Market for Ras: Base Scenario, 2022-2035 (USD Million)
Figure 10.22 Overall Market for CXCR4: Base Scenario, 2023-2035 (USD Million)
Figure 10.23 Overall Market for Brachyury Protein: Base Scenario, 2024-2035 (USD Million)
Figure 10.24 Global Market: Distribution by Target Family, 2025, 2030 and 2035
Figure 10.25 Overall Market for Transcription Factors: Base Scenario, 2020-2035 (USD Million)
Figure 10.26 Overall Market for GTPases: Base Scenario, 2022-2035 (USD Million)
Figure 10.27 Overall Market for GPCRs: Base Scenario, 2023-2035 (USD Million)
Figure 10.28 Global Market: Distribution by Route of Administration, 2025, 2030 and 2035
Figure 10.29 Overall Market for Oral Administration: Base Scenario, 2020-2035 (USD Million)
Figure 10.30 Overall Market for Intravenous Administration: Base Scenario, 2021-2035 (USD Million)
Figure 10.31 Overall Market for Intratumoral Administration: Base Scenario, 2022-2035 (USD Million)
Figure 10.32 Overall Market for Subcutaneous Administration: Base Scenario, 2023-2035 (USD Million)
Figure 10.33 Overall Market for Other Routes of Administration: Base Scenario, 2025-2035 (USD Million)
Figure 10.34 Global Market: Distribution by Geography, 2025, 2030 and 2035
Figure 10.35 Overall Market for North America: Base Scenario, 2020-2035 (USD Million)
Figure 10.36 North America: Distribution by Countries, 2025 and 2035
Figure 10.37 Overall Market for Europe: Base Scenario, 2022-2035 (USD Million)
Figure 10.38 Europe: Distribution by Countries, 2025 and 2035
Figure 10.39 Overall Market for Asia Pacific: Base Scenario, 2020-2035 (USD Million)
Figure 10.40 Asia Pacific: Distribution by Countries, 2025 and 2035
Figure 10.41 Overall Market for Napabucasin (Till 2035): Base Scenario (USD Million)
Figure 10.42 Napabucasin, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.43 Napabucasin, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.44 Napabucasin, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.45 Napabucasin, Colorectal Cancer Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.46 Napabucasin, Pancreatic Cancer Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.47 Overall Market for Rigosertib (Till 2035): Base Scenario (USD Million)
Figure 10.48 Rigosertib, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.49 Rigosertib, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.50 Rigosertib, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.51 Overall Market for BL-8040 (Till 2035): Base Scenario (USD Million)
Figure 10.52 BL-8040, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.53 BL-8040, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.54 BL-8040, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.55 BL-8040, Leukemia Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.56 BL-8040, Pancreatic Cancer Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.57 Overall Market for CX-01 (Till 2035): Base Scenario (USD Million)
Figure 10.58 CX-01, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.59 CX-01, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.60 Overall Market for Danvatirsen (Till 2035): Base Scenario (USD Million)
Figure 10.61 Danvatirsen, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.62 Danvatirsen, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.63 Danvatirsen, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.64 Danvatirsen, Colorectal Cancer Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.65 Danvatirsen, Head and Neck Squamous Cell Carcinoma Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.66 Danvatirsen, Non-Small Cell Lung Cancer Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.67 Danvatirsen, Pancreatic Cancer Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.68 Overall Market for GI-4000 (Till 2035): Base Scenario (USD Million)
Figure 10.69 GI-4000, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.70 GI-4000, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.71 GI-4000, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.72 Overall Market for GI-6301 (Till 2035): Base Scenario (USD Million)Figure 10.73 GI-6301, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.74 GI-6301, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.75 Overall Market for siG12D LODER (Till 2035): Base Scenario (USD Million)
Figure 10.76 siG12D LODER, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.77 siG12D LODER, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.78 siG12D LODER, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.79 Overall Market for GLG-801 (Till 2035): Base Scenario (USD Million)
Figure 10.80 GLG-801, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.81 GLG-801, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.82 Overall Market for TG01 (Till 2035): Base Scenario (USD Million)
Figure 10.83 TG01, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.84 TG01, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.85 X4P-001-IO Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.86 X4P-001-IO, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.87 X4P-001-IO, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.88 Overall Market for WP1066 (Till 2035): Base Scenario (USD Million)
Figure 10.89 WP1066, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 10.90 WP1066, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Figure 11.1 Market Landscape: Distribution by Phase of Development, Target Family and Type of Molecule
Figure 11.2 Comparison of Cancer Targets: 3-Dimensional Bubble Analysis
Figure 11.3 Comparison of Cancer Targets: 6-Dimensional Spider-Web Analysis
Figure 11.4 Market Landscape: Most Prominent Hubs by Headquarters of Drug Developers
Table 3.1 Global Incidence of Cancer in 2020 and 2025
Table 3.2 Ras Mutations in Different Cancer Types (%)
Table 4.1 Clinical Pipeline
Table 4.2 Preclinical / Discovery Pipeline
Table 6.1 Drug Discovery Platforms
Table 6.2 Drug Discovery Platforms: 3-Dimensional Bubble Analysis
Table 6.3 Drug Delivery and Drug Development Platforms
Table 7.1 List of Target Specific Publications, January 2014-February 2018
Table 7.2 List of Other Publications, January 2014-February 2018
Table 7.3 List of Grants, January 2017-March 2018
Table 8.1 Funding and Investments, 2014-2018
Table 8.2 Summary of Investments
Table 9.1 Recent Collaborations, 2014-2018
Table 10.1 Potential Candidates for Cancer Therapies
Table 10.2 Napabucasin: Target Patient Population
Table 10.3 Napabucasin: Net Present Value (USD Million)
Table 10.4 Rigosertib: Target Patient Population
Table 10.5 Rigosertib: Net Present Value (USD Million)
Table 10.6 BL-8040: Target Patient Population
Table 10.7 BL-8040: Net Present Value (USD Million)
Table 10.8 CX-01: Target Patient Population
Table 10.9 CX-01: Net Present Value (USD Million)
Table 10.10 Danvatirsen: Target Patient Population
Table 10.11 Danvatirsen: Net Present Value (USD Million)
Table 10.12 GI-4000: Target Patient Population
Table 10.13 GI-4000: Net Present Value (USD Million)
Table 10.14 GI-6301: Target Patient Population
Table 10.15 GI-6301: Net Present Value (USD Million)
Table 10.16 siG12D LODER: Target Patient Population
Table 10.17 siG12D LODER: Net Present Value (USD Million)
Table 10.18 GLG-801: Target Patient Population
Table 10.19 GLG-801: Net Present Value (USD Million)
Table 10.20 TG01: Target Patient Population
Table 10.21 TG01: Net Present Value (USD Million)
Table 10.22 X4P-001-IO: Target Patient Population
Table 10.23 X4P-001-IO: Net Present Value (USD Million)
Table 10.24 WP1066: Target Patient Population
Table 10.25 WP1066: Net Present Value (USD Million)
Table 11.1 3-Dimensional Bubble Analysis
Table 11.2 6-Dimensional Spider-Web Analysis
Table 13.1 Allinky Biopharma: Company Snapshot
Table 13.2 Silenseed: Company Snapshot
Table 13.3 Tosk: Company Snapshot
Table 14.1 Global Cancer Incidence (2012)
Table 14.2 Overall Pipeline: Distribution by Phase of Development
Table 14.3 Overall Pipeline: Distribution by Target Indication
Table 14.4 Overall Pipeline: Distribution by Biological Target
Table 14.5 Clinical Pipeline: Distribution by Target Indication
Table 14.6 Clinical Pipeline: Distribution by Type of Molecule
Table 14.7 Clinical Pipeline: Distribution by Route of Administration
Table 14.8 Clinical Pipeline: Distribution by Target Family
Table 14.9 Preclinical / Discovery Pipeline: Distribution by Target Indication
Table 14.10 Preclinical / Discovery Pipeline: Distribution by Type of Molecule
Table 14.11 Preclinical / Discovery Pipeline: Distribution by Target Family
Table 14.12 Technology Platforms: Distribution by Geography of Developer
Table 14.13 Technology Platforms: Distribution by Type of Technology
Table 14.14 Publications: Year-wise Distribution
Table 14.15 Publications: Popular Journals
Table 14.16 Publications: Popular Drug Classes
Table 14.17 Publications: Target Indication
Table 14.18 Grants: Types of Grants
Table 14.19 Grants: Most Active Players
Table 14.20 Funding Instances: Distribution by Year, 2014-2018
Table 14.21 Funding Instances: Distribution of Amount Invested by Year, 2014-2018 (USD Million)
Table 14.22 Funding Instances: Distribution by Type of Funding
Table 14.23 Funding Instances: Distribution by Amount Invested and Type of Funding (USD Million)
Table 14.24 Funding Instances: Most Active Players
Table 14.25 Funding Instances: Most Active Investors
Table 14.26 Funding Instances: Summary
Table 14.27 Funding Instances: Distribution by Geography and Amount Invested (USD Million)
Table 14.28 Funding Instances: Distribution by Geography and Number of Instances
Table 14.29 Partnerships: Distribution by Year, 2014-2018
Table 14.30 Partnerships: Distribution by Type of Collaboration
Table 14.31 Partnerships: Distribution by Key Focus Areas
Table 14.32 Partnerships: Most Active Players
Table 14.33 Price Point Variations Across Various Geographies
Table 14.34 Global Market, Conservative, Base and Optimistic Scenarios 2020-2035 (USD Million)
Table 14.35 Global Market: Distribution by Target Indication, 2025, 2030 and 2035
Table 14.36 Overall Market for Colorectal Cancer: Conservative, Base and Optimistic Scenarios, 2020-2035 (USD Million)
Table 14.37 Overall Market for Myelodysplastic Syndrome: Conservative, Base and Optimistic Scenarios, 2021-2035 (USD Million)
Table 14.38 Overall Market for Pancreatic Cancer: Conservative, Base and Optimistic Scenarios, 2021-2035 (USD Million)
Table 14.39 Overall Market for Leukemia: Conservative, Base and Optimistic Scenarios, 2023-2035 (USD Million)
Table 14.40 Overall Market for Chordoma: Conservative, Base and Optimistic Scenarios, 2024-2035 (USD Million)
Table 14.41 Overall Market for Clear Cell Renal Cell Carcinoma: Conservative, Base and Optimistic Scenarios, 2025-2035 (USD Million)
Table 14.42 Overall Market for Head and Neck Squamous Cell Carcinoma: Conservative, Base and Optimistic Scenarios, 2025-2035 (USD Million)
Table 14.43 Overall Market for Non-Small Cell Lung Cancer: Conservative, Base and Optimistic Scenarios, 2025-2035 (USD Million)
Table 14.44 Overall Market for Glioblastoma: Conservative, Base and Optimistic Scenarios,2027-2035 (USD Million)
Table 14.45 Global Market: Distribution by Type of Molecules, 2025, 2030 and 2035
Table 14.46 Overall Market for Small Molecules: Conservative, Base and Optimistic Scenarios, 2020-2035 (USD Million)
Table 14.47 Overall Market for Oligonucleotides: Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Million)
Table 14.48 Overall Market for Proteins: Conservative, Base and Optimistic Scenarios, 2023-2035 (USD Million)
Table 14.49 Overall Market for Therapeutic Vaccines: Base Scenario, 2024-2035 (USD Million)
Table 14.50 Overall Market for Polysaccharides: Base Scenario, 2027-2035 (USD Million)
Table 14.51 Global Market: Distribution by Biological Targets, 2025, 2030 and 2035
Table 14.52 Overall Market for STAT3: Conservative, Base and Optimistic Scenarios, 2020-2035 (USD Million)
Table 14.54 Overall Market for CXCR4: Conservative, Base and Optimistic Scenarios, 2023-2035 (USD Million)
Table 14.55 Overall Market for Brachyury Protein: Conservative, Base and Optimistic Scenarios, 2024-2035 (USD Million)
Table 14.56 Global Market: Distribution by Target Family, 2025, 2030 and 2035
Table 14.57 Overall Market for Transcription Factors: Conservative, Base and Optimistic Scenarios, 2020-2035 (USD Million)
Table 14.58 Overall Market for GTPases: Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Million)
Table 14.59 Overall Market for GPCRs: Conservative, Base and Optimistic Scenarios, 2023-2035 (USD Million)
Table 14.60 Global Market: Distribution by Route of Administration, 2025, 2030 and 2035
Table 14.61 Overall Market for Oral Route: Conservative, Base and Optimistic Scenarios,2020-2035 (USD Million)
Table 14.62 Overall Market for Intravenous Route: Conservative, Base and Optimistic Scenarios, 2021-2035 (USD Million)
Table 14.63 Overall Market for Intratumoral Route: Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Million)
Table 14.64 Overall Market for Subcutaneous Route: Conservative, Base and Optimistic Scenarios, 2023-2035 (USD Million)
Table 14.65 Overall Market for Other Routes of Administration: Conservative, Base and Optimistic Scenarios, 2025-2035 (USD Million)
Table 14.66 Global Market: Distribution by Geography, 2025, 2030 and 2035
Table 14.67 Overall Market for North America: Conservative, Base and Optimistic Scenarios, 2020-2035 (USD Million)
Table 14.68 North America: Distribution by Countries, 2025 and 2035
Table 14.69 Overall Market for Europe: Conservative, Base and Optimistic Scenarios, 2022-2035 (USD Million)
Table 14.70 Europe: Distribution by Countries, 2025 and 2035
Table 14.71 Overall Market for Asia Pacific: Conservative, Base and Optimistic Scenarios,2020-2035 (USD Million)
Table 14.72 Asia Pacific: Distribution by Countries, 2025 and 2035
Table 14.73 Overall Market for Napabucasin Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.74 Napabucasin, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.75 Napabucasin, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.76 Napabucasin, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.77 Napabucasin, Colorectal Cancer Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.78 Napabucasin, Pancreatic Cancer Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.79 Overall Market for Rigosertib Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.80 Rigosertib, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.81 Rigosertib, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.82 Rigosertib, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.83 Overall Market for BL-8040 Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.84 BL-8040, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.85 BL-8040, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.86 BL-8040, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.87 BL-8040, Leukemia Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.88 BL-8040, Pancreatic Cancer Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.89 Overall Market for CX-01 Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.90 CX-01, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.91 CX-01, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.92 Overall Market for Danvatirsen Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.93 Danvatirsen, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.94 Danvatirsen, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.95 Danvatirsen, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.96 Danvatirsen, Colorectal Cancer Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.97 Danvatirsen, Head and Neck Squamous Cell Carcinoma Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.98 Danvatirsen, Non-Small Cell Lung Cancer Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.99 Danvatirsen, Pancreatic Cancer Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.100 Overall Market for GI-4000 Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.101 GI-4000, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.102 GI-4000, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.103 GI-4000, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.104 Overall Market for GI-6301 Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.105 GI-6301, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.106 GI-6301, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.107 Overall Market for siG12D LODER Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.108 siG12D LODER, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.109 siG12D LODER, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.110 siG12D LODER, Asia Pacific Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.111 Overall Market for GLG-801 Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.112 GLG-801, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.113 GLG-801, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.114 Overall Market for TG01 Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.115 TG01, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.116 TG01, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.117 Overall Market for X4P-001-IO Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.118 X4P-001-IO, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.119 X4P-001-IO, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.120 Overall Market for WP1066 Sales Forecast (Till 2035): Conservative, Base and Optimistic Scenarios (USD Million)
Table 14.121 WP1066, North America Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.122 WP1066, Europe Sales Forecast (Till 2035): Base Scenario (USD Million)
Table 14.123 Global Market: Conservative, Base and Optimistic Scenarios, 2025, 2030 and 2035 (USD billion)
The following companies and organizations have been mentioned in the report.1Globe Health Institute
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