Welcome!

News Feed Item

Cancer Monoclonal Antibody Partnering Terms and Agreements



 

 

 

LONDON, Aug. 27, 2014 /PRNewswire/ -- Reportbuyer.com has added a new market research report:

Cancer Monoclonal Antibody Partnering Terms and Agreements

https://www.reportbuyer.com/product/1112622/Cancer-Monoclonal-Antibody-Partnering-Terms-and-Agreements.html

The Cancer Monoclonal Antibody Partnering Agreements report provides an understanding and access to the cancer monoclonal antibody partnering deals and agreements entered into by the worlds leading healthcare companies.


Trends in cancer monoclonal antibody partnering deals
Disclosed headlines, upfronts, milestones and royalties by stage of development
Cancer monoclonal antibody partnering contract documents
Top cancer monoclonal antibody deals by value

The Cancer Monoclonal Antibody Partnering Agreements report provides an understanding and access to the cancer monoclonal antibody partnering deals and agreements entered into by the worlds leading healthcare companies.

The report provides an understanding and analysis of how and why companies enter cancer monoclonal antibody partnering deals. The majority of deals are discovery or development stage whereby the licensee obtains a right or an option right to license the licensors monoclonal antibody technology. These deals tend to be multicomponent, starting with collaborative R&D, and commercialization of outcomes. The report also includes antibody-drug conjugate deals and alliances.

Understanding the flexibility of a prospective partner's negotiated deals terms provides critical insight into the negotiation process in terms of what you can expect to achieve during the negotiation of terms. Whilst many smaller companies will be seeking details of the payments clauses, the devil is in the detail in terms of how payments are triggered – contract documents provide this insight where press releases do not.

This report contains over 350 links to online copies of actual cancer monoclonal antibody deals and where available, contract documents as submitted to the Securities Exchange Commission by companies and their partners. Contract documents provide the answers to numerous questions about a prospective partner's flexibility on a wide range of important issues, many of which will have a significant impact on each party's ability to derive value from the deal.

The initial chapters of this report provide an orientation of cancer monoclonal antibody dealmaking and business activities. Chapter 1 provides an introduction to the report, whilst chapter 2 provides an overview of the trends in cancer monoclonal antibody dealmaking since 2009, including details of average headline, upfront, milestone and royalty terms.

Chapter 3 provides a review of the leading cancer monoclonal antibody deals since 2009. Deals are listed by headline value, signed by big pharma, big biotech and most active of all biopharma companies. Where the deal has an agreement contract published at the SEC a link provides online access to the contract
.
Chapter 4 provides a comprehensive listing of the top 50 big pharma companies with deal announcement in cancer monoclonal antibody partnering, along with a brief summary followed by a comprehensive listing of cancer monoclonal antibody deals, as well as contract documents available in the public domain. Where available, each deal title links via Weblink to an online version of the actual contract document, providing easy access to each contract document on demand.

Chapter 5 provides a comprehensive listing of the top 50 big biotech companies with deal announcement in cancer monoclonal antibody partnering, along with a brief summary followed by a comprehensive listing of cancer monoclonal antibody deals, as well as contract documents available in the public domain. Where available, each deal title links via Weblink to an online version of the actual contract document, providing easy access to each contract document on demand.

Chapter 6 provides a comprehensive and detailed review of cancer monoclonal antibody partnering deals signed and announced since January 2009. The chapter is organized by company A-Z, stage of development at signing, deal type (collaborative R&D, co-promotion, licensing etc), specific therapy focus, and monoclonal antibody technology type. Each deal title links via Weblink to an online version of the deal record and where available, the contract document, providing easy access to each contract document on demand.

The report also includes numerous tables and figures that illustrate the trends and activities in cancer monoclonal antibody partnering and dealmaking since 2009.

In conclusion, this report provides everything a prospective dealmaker needs to know about partnering in the research, development and commercialization of cancer monoclonal antibody technologies and products.


Report scope

Cancer Monoclonal Antibody Partnering Agreements is intended to provide the reader with an in-depth understanding and access to cancer monoclonal antibody trends and structure of deals entered into by leading companies worldwide.


Cancer Monoclonal Antibody Partnering Agreements includes:

Trends in cancer monoclonal antibody dealmaking in the biopharma industry since 2009
Analysis of cancer monoclonal antibody deal structure
Access to headline, upfront, milestone and royalty data
Access to over 300 cancer monoclonal antibody deal records
The leading cancer monoclonal antibody deals by value since 2009


In Cancer Monoclonal Antibody Partnering Agreements, the available deals are listed by:

Company A-Z
Headline value
Stage of development at signing
Deal component type
Specific oncology therapy target
Monoclonal antibody type

Each deal title links via Weblink to an online version of the deal record and where available, the contract document, providing easy access to each contract document on demand.

The Cancer Monoclonal Antibody Partnering Agreements report provides comprehensive access to available deals and contract documents for over 300 cancer monoclonal antibody deals. Analyzing actual contract agreements allows assessment of the following:

What are the precise rights granted or optioned?
What is actually granted by the agreement to the partner company?
What exclusivity is granted?
What is the payment structure for the deal?
How aresales and payments audited?
What is the deal term?
How are the key terms of the agreement defined?
How are IPRs handled and owned?
Who is responsible for commercialization?
Who is responsible for development, supply, and manufacture?
How is confidentiality and publication managed?
How are disputes to be resolved?
Under what conditions can the deal be terminated?
What happens when there is a change of ownership?
What sublicensing and subcontracting provisions have been agreed?
Which boilerplate clauses does the company insist upon?
Which boilerplate clauses appear to differ from partner to partner or deal type to deal type?
Which jurisdiction does the company insist upon for agreement law?
Executive Summary


Chapter 1 – Introduction

Chapter 2 – Trends in cancer monoclonal antibody dealmaking

2.1. Introduction
2.2. Cancer monoclonal antibody partnering over the years
2.3. Big pharma cancer monoclonal antibody dealmaking activity
2.4. Big biotech cancer monoclonal antibody dealmaking activity
2.5. Most active in cancer monoclonal antibody partnering
2.6. Cancer monoclonal antibody partnering by deal type
2.7. Cancer monoclonal antibody partnering by stage of development
2.8. Cancer monoclonal antibody partnering by cancer indication
2.9. Cancer monoclonal antibody partnering by antibody type
2.10. Disclosed deal terms for cancer monoclonal antibody partnering
2.10.1 Cancer monoclonal antibody partnering headline values
2.10.2 Cancer monoclonal antibody deal upfront payments
2.10.3 Cancer monoclonal antibody deal milestone payments
2.10.4 Cancer monoclonal antibody royalty rates

Chapter 3 – Leading cancer monoclonal antibody deals

3.1. Introduction
3.2. Top cancer monoclonal antibody deals by value

Chapter 4 – Big pharma cancer monoclonal antibody deals

4.1. Introduction

4.2. How to use big pharma partnering deals

4.3. Big pharma cancer monoclonal antibody partnering company profiles

Abbott
Abbvie
Actavis (formerly called Watson)
Amgen
Astellas
AstraZeneca
Bayer
Biogen Idec
Boehringer Ingelheim
Bristol-Myers Squibb
Celgene
Chugai Pharmaceutical
CSL
Daiichi Sankyo
Eli Lilly
Fresenius
Gilead Sciences
GlaxoSmithKline
Johnson & Johnson
Merck & Co
Merck KGaA
Mitsubishi Tanabe
Novartis
Novo Nordisk
Otsuka
Pfizer
Roche
Sanofi
Servier
Takeda
Teva
UCB
Chapter 5 – Big biotech cancer monoclonal antibody deals

5.1. Introduction

5.2. How to use big biotech partnering deals

5.3. Big biotech cancer monoclonal antibody partnering company profiles

Emergent BioSolutions
Genmab
LFB Group
Morphosys
PDL BioPharma
Seattle Genetics
Spectrum Pharmaceuticals
Swedish Orphan Biovitrum

Chapter 6 – Cancer monoclonal antibody dealmaking directory

6.1. Introduction

6.2. Company A-Z

6.3. By stage of development

Discovery
Formulation
Marketed
Phase I
Phase II
Phase III
Preclinical
Regulatory

6.4. By deal type

Asset purchase
Assignment
Bigpharma outlicensing
Co-development
Collaborative R&D
Co-market
Contract service
Co-promotion
CRADA
Cross-licensing
Development
Distribution
Equity purchase
Evaluation
Grant
Joint venture
Licensing
Loan
Manufacturing
Marketing
Material transfer
Option
Promotion
Research
Settlement
Spin out
Sub-license
Supply
Technology transfer
Termination

6.5. By oncology therapy area

Oncology
Bone cancer
Brain cancer
Breast cancer
Colorectal cancer
Gastric cancer
Head and neck cancer
Kidney cancer
Leukemia
Acute lymphoblastic leukemia
Acute myelogenous leukemia
Chronic lymphocytic leukemia
Lung cancer
Non small cell lung cancer
Lymphoma
Hodgkin's lymphoma
Non Hodgkin's lymphoma
Melanoma
Metastases
Multiple myeloma
Neuroblastoma
Ovarian cancer
Pancreatic cancer
Prostate cancer
Renal cell carcinoma
Solid tumors
Cancer pain
Thyroid cancer
6.6. By monoclonal antibody type
Chapter 7 –Partnering resource center
7.1. Online partnering
7.2. Partnering events
7.3. Further reading on dealmaking
Appendices
Appendix 1 – Deal type definitions
Appendix 2 – Example monoclonal antibody cancer partnering agreement
About Wildwood Ventures
Current Partnering
Current Agreements
Recent report titles from CurrentPartnering
Order Form – Upgrades for subscription access products
Order Form – Therapy Reports
Order Form – Technology Reports

Table of figures

Figure 1: Cancer monoclonal antibody partnering since 2009
Figure 2: Big pharma – top 50 – cancer monoclonal antibody deals 2009 to 2014
Figure 3: Big pharma cancer monoclonal antibody deal frequency – 2009 to 2014
Figure 4: Big biotech – top 50 – cancer monoclonal antibody deals 2009 to 2014
Figure 5: Big biotech cancer monoclonal antibody deal frequency – 2009 to 2014
Figure 6: Active cancer monoclonal antibody dealmaking activity– 2009 to 2014
Figure 7: Cancer monoclonal antibody partnering by deal type since 2009
Figure 8: Cancer monoclonal antibody partnering by stage of development since 2009
Figure 9: Monoclonal antibody partnering by oncology target since 2009
Figure 10: Monoclonal antibody partnering by type since 2009
Figure 11: Cancer monoclonal antibody deals with a headline value – by stage of development
Figure 12: Cancer monoclonal antibody deal headline value distribution, US$million – discovery stage
Figure 13: Cancer monoclonal antibody deal headline value distribution, US$million – preclinical stage
Figure 14: Cancer monoclonal antibody deal headline value distribution, US$million – phase I stage
Figure 15: Cancer monoclonal antibody deal headline value distribution, US$million – phase II stage
Figure 16: Cancer monoclonal antibody deal headline value distribution, US$million – phase III stage
Figure 17: Cancer monoclonal antibody deal headline value distribution, US$million – regulatory stage
Figure 18: Cancer monoclonal antibody deal headline value distribution, US$million – marketed stage
Figure 19: Cancer monoclonal antibody deal headline value – median value by stage of development
Figure 20: Cancer monoclonal antibody deals with upfront payment values – by stage of development
Figure 21: Cancer monoclonal antibody deal upfront distribution, US$million – discovery stage
Figure 22: Cancer monoclonal antibody deal upfront value distribution, US$million – preclinical stage
Figure 23: Cancer monoclonal antibody deal upfront value distribution, US$million – phase I stage
Figure 24: Cancer monoclonal antibody deal upfront value distribution, US$million – phase II stage
Figure 25: Cancer monoclonal antibody deal upfront value distribution, US$million – phase III stage
Figure 26: Cancer monoclonal antibody deal upfront value distribution, US$million – regulatory stage
Figure 27: Cancer monoclonal antibody deal upfront value distribution, US$million – marketed stage
Figure 28: Cancer monoclonal antibody deal upfront value – median value by stage of development
Figure 29: Cancer monoclonal antibody deals with milestone payment – by stage of development
Figure 30: Cancer monoclonal antibody deal milestone distribution, US$million – discovery stage
Figure 31: Cancer monoclonal antibody deal milestone value distribution, US$million – preclinical stage
Figure 32: Cancer monoclonal antibody deal milestone value distribution, US$million – phase I stage
Figure 33: Cancer monoclonal antibody deal milestone value distribution, US$million – phase II stage
Figure 34: Cancer monoclonal antibody deal milestone value distribution, US$million – phase III stage
Figure 35: Cancer monoclonal antibody deal milestone value distribution, US$million – regulatory stage
Figure 36: Cancer monoclonal antibody deal milestone value distribution, US$million – marketed stage
Figure 37: Cancer monoclonal antibody deals with royalty rates
Figure 38: Cancer monoclonal antibody deal royalty rate distribution, US$million – discovery stage
Figure 39: Cancer monoclonal antibody deal royalty rate value distribution, US$million – preclinical stage
Figure 40: Cancer monoclonal antibody deal royalty rate value distribution, US$million – phase I stage
Figure 41: Cancer monoclonal antibody deal royalty rate value distribution, US$million – phase II stage
Figure 42: Cancer monoclonal antibody deal royalty rate value distribution, US$million – phase III stage
Figure 43: Cancer monoclonal antibody deal royalty rate value distribution, US$million – regulatory stage
Figure 44: Cance monoclonal antibody deal royalty rate value distribution, US$million – marketed stage
Figure 45: Cancer monoclonal antibody deal royalty value – median value by stage of development
Figure 46: Top cancer monoclonal antibody deals by value since 2009
Figure 47: Online partnering resources
Figure 48: Forthcoming partnering events
Figure 49: Deal type definitions
Figure 50: Collaborative R&D agreement for BiTE antibodies against three undisclosed solid tumor targets



Read the full report:
Cancer Monoclonal Antibody Partnering Terms and Agreements

https://www.reportbuyer.com/product/1112622/Cancer-Monoclonal-Antibody-Partnering-Terms-and-Agreements.html

For more information:
Sarah Smith
Research Advisor at Reportbuyer.com
Email: [email protected]
Tel: +44 208 816 85 48
Website: www.reportbuyer.com

SOURCE ReportBuyer

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
"We have several customers now running private clouds. They're not as large as they should be but it's getting there. The adoption challenge has been pretty simple. Look at the world today of virtualization vs cloud," stated Nara Rajagopalan, CEO of Accelerite, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, wh...
SYS-CON Events announced today that Tintri Inc., a leading producer of VM-aware storage (VAS) for virtualization and cloud environments, will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Tintri VM-aware storage is the simplest for virtualized applications and cloud. Organizations including GE, Toyota, United Healthcare, NASA and 6 of the Fortune 15 have said “No to LUNs.” With Tintri they mana...
An IoT product’s log files speak volumes about what’s happening with your products in the field, pinpointing current and potential issues, and enabling you to predict failures and save millions of dollars in inventory. But until recently, no one knew how to listen. In his session at @ThingsExpo, Dan Gettens, Chief Research Officer at OnProcess, will discuss recent research by Massachusetts Institute of Technology and OnProcess Technology, where MIT created a new, breakthrough analytics model f...
In his session at @DevOpsSummit at 19th Cloud Expo, Robert Doyle, lead architect at eCube Systems, will examine the issues and need for an agile infrastructure and show the advantages of capturing developer knowledge in an exportable file for migration into production. He will introduce the use of NXTmonitor, a next-generation DevOps tool that captures application environments, dependencies and start/stop procedures in a portable configuration file with an easy-to-use GUI. In addition to captu...
More and more companies are looking to microservices as an architectural pattern for breaking apart applications into more manageable pieces so that agile teams can deliver new features quicker and more effectively. What this pattern has done more than anything to date is spark organizational transformations, setting the foundation for future application development. In practice, however, there are a number of considerations to make that go beyond simply “build, ship, and run,” which changes ho...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable. In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
From wearable activity trackers to fantasy e-sports, data and technology are transforming the way athletes train for the game and fans engage with their teams. In his session at @ThingsExpo, will present key data findings from leading sports organizations San Francisco 49ers, Orlando Magic NBA team. By utilizing data analytics these sports orgs have recognized new revenue streams, doubled its fan base and streamlined costs at its stadiums. John Paul is the CEO and Founder of VenueNext. Prior ...
As organizations shift towards IT-as-a-service models, the need for managing and protecting data residing across physical, virtual, and now cloud environments grows with it. Commvault can ensure protection, access and E-Discovery of your data – whether in a private cloud, a Service Provider delivered public cloud, or a hybrid cloud environment – across the heterogeneous enterprise. In his general session at 18th Cloud Expo, Randy De Meno, Chief Technologist - Windows Products and Microsoft Part...
Technology vendors and analysts are eager to paint a rosy picture of how wonderful IoT is and why your deployment will be great with the use of their products and services. While it is easy to showcase successful IoT solutions, identifying IoT systems that missed the mark or failed can often provide more in the way of key lessons learned. In his session at @ThingsExpo, Peter Vanderminden, Principal Industry Analyst for IoT & Digital Supply Chain to Flatiron Strategies, will focus on how IoT de...
Digitization is driving a fundamental change in society that is transforming the way businesses work with their customers, their supply chains and their people. Digital transformation leverages DevOps best practices, such as Agile Parallel Development, Continuous Delivery and Agile Operations to capitalize on opportunities and create competitive differentiation in the application economy. However, information security has been notably absent from the DevOps movement. Speed doesn’t have to negat...
IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins. However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, provided tips on how to be successful in large scale machine learning...
In his general session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed cloud as a ‘better data center’ and how it adds new capacity (faster) and improves application availability (redundancy). The cloud is a ‘Dynamic Tool for Dynamic Apps’ and resource allocation is an integral part of your application architecture, so use only the resources you need and allocate /de-allocate resources on the fly.