Real-world data (RWD) is increasingly being used to facilitate and enhance clinical research in oncology. Opportunities for using RWD in oncology trials include assessing protocol feasibility by overlaying trial eligibility criteria onto a RWD source, identifying patients from RWD sources for inclusion in external control arms, and using RWD to augment data collection in long-term follow-up studies following gene therapy trials. However, it is easy to underestimate the challenges that arise in implementation.
This session will discuss the opportunities and challenges for RWD in oncology trials. Attendees will:
The session will end with a live open question and answer discussion.
What do you need to think about early in development to get new products approve? In a very condensed time frame for oncology products, understand why you need think “end game” early on.
The rising cost of clinical development, coupled with the ethical obligation to ensure that patients exiting a clinical trial are able to remain on active treatment if necessary, has led some pharmaceutical and bio-pharmaceutical companies to review their trial protocols and consider alternative options. This session looks at some of the key considerations and how many companies are adopting different supply models.
Disparate rates of enrollment of racial and ethnic minorities and medically underserved populations in cancer clinical trials is well documented. Understand how this factor not only impacts the validity of trial results and increases health disparities for under-served communities and patients. Explore how trials might engage novel strategies to diversify their studies and also the wider social and economic factors affecting health equity that need to be addressed to truly overcome barriers for cancer patients from underrepresented populations.
We have adaptive design, but what else can be considered in diverse approaches to treat cancer? What have we learned about what else might be considered to augment with real world evidence and other data sets that could be valuable to understand the safety and effectiveness of a new molecule? How can industry be “better” at designing trials to utilize resources in the best way possible?
Discuss the importance of developing more efficient ways to collect and utilize data to enhance the development of new treatments and cures. Hear an agency perspective on efforts to not only modernize its technological infrastructure but also invest in expertise and build initiatives that support and evaluate the work being done on the forefront of science and technology to improve clinical outcomes for cancer patients.