Dynamic Collaborations for the Development of Immune Checkpoint Blockade Agents
Abstract
:1. Introduction
2. Materials and Methods
2.1. Samples and Data Sources
2.2. Variables and Data Sources
- An acquisition is when one company purchases all or most of another company’s shares to gain control of that company.
- An alliance is an agreement between two or more companies regarding a pharmaceutical product, technology, service, etc.
- A financing involves a company raising money publicly or privately through the sale of equity, debt, or royalty monetization.
2.3. Statistical Analysis
3. Results
3.1. Interorganizational Transaction per Mechanism of Action
3.2. Market Landscape and Interorganizational Collaborations for Combination Therapy Development of Top Two Immune Checkpoint Blockades: Pembrolizumab and Nivolumab
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
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Average | SD | |
---|---|---|
Co-promotion | 3.571 | 2.225 |
Includes Contract | 0.714 | 0.756 |
Includes Equity | 2.143 | 2.116 |
Includes Royalty or Profit Split Information | 9.000 | 5.916 |
Intra-biotech Deal | 4.714 | 6.396 |
Marketing-licensing | 0.714 | 1.496 |
Product or Technology Swap | 0.429 | 0.535 |
R+D and Marketing-licensing | 14.000 | 9.678 |
Trial Collaborations | 24.429 | 18.636 |
Reverse Licensing | 0.286 | 0.488 |
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Djurian, A.; Makino, T.; Lim, Y.; Sengoku, S.; Kodama, K. Dynamic Collaborations for the Development of Immune Checkpoint Blockade Agents. J. Pers. Med. 2021, 11, 460. https://doi.org/10.3390/jpm11060460
Djurian A, Makino T, Lim Y, Sengoku S, Kodama K. Dynamic Collaborations for the Development of Immune Checkpoint Blockade Agents. Journal of Personalized Medicine. 2021; 11(6):460. https://doi.org/10.3390/jpm11060460
Chicago/Turabian StyleDjurian, Arisa, Tomohiro Makino, Yeongjoo Lim, Shintaro Sengoku, and Kota Kodama. 2021. "Dynamic Collaborations for the Development of Immune Checkpoint Blockade Agents" Journal of Personalized Medicine 11, no. 6: 460. https://doi.org/10.3390/jpm11060460