Real-World Evidence Portfolio

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The Friends of Cancer Research Real-World Evidence portfolio develops and establishes methodology for using RWD to demonstrate benefit to patients. Visit us on LinkedIn and X to stay up to date with #RWEFriends.

Real World Data (RWD) is patient data routinely collected in electronic health records (EHRs), claims data, and registries that can provide valuable information about the real-world performance of cancer therapies and diagnostics. Unlike in traditional clinical trial settings where data are collected at pre-established timepoints and reported uniformly for trial participants, there is typically a lot of variation in the way RWD are reported within and across sources. Inconsistent definitions and data missingness in RWD present challenges to using these data sources to investigate treatment effectiveness, such as how the therapy impacts survival or can be used in certain patient populations. Strategies and methodologies for mitigating these factors and aligning RWD are needed to fully realize the potential of RWD.

Since 2017, Friends has facilitated collaboration among RWD vendors, pharmaceutical companies, government officials, and academics to advance the understanding and applications of RWD and real-world evidence (RWE) in oncology. These multistakeholder partnerships support alignment on best practices, provide a venue to develop and test methodologies for aligning and analyzing RWD, and help identify opportunities to proactively strategize on future use of RWD/E in oncology:

RWE Pilot 1.0 created a framework for aligning data sources and showed that implementing a harmonized protocol and set of definitions for necessary data elements supports identification of similar patient populations across data sources and extraction of several real-world endpoints.

RWE Pilot 2.0 applied the framework developed in Pilot 1.0 and showed that RWD can be used to generate similar results to clinical trials when measuring the treatment effect of chemotherapy compared with immunotherapy in patients with advanced non-small cell lung cancer (aNSCLC). The group developed a list of considerations for the design, conduct, and interpretation of RWD studies from different data sources.

rw-Response is an ongoing effort that uses lessons learned during Pilots 1.0 and 2.0. The rw-Response Pilot will establish a framework for measuring rw-response and assess the consistency of the measure across RWD sources in first-line regimens for patients with aNSCLC.

rw-Care is an ongoing effort to develop a framework for the use of RWD at point of care to improve patient outcomes from immunotherapy by mitigating treatment-related adverse events. The ongoing prospective pilot will assess whether improved immune-related adverse event management, facilitated by real-time access to patient-specific data, can result in improved patient care, reduced or fewer adverse events and/or healthcare utilization.

Traditional clinical trials, such as randomized controlled trials (RCTs), can take a long time and typically enroll a narrow patient population that represents a fraction of the patients who will likely receive the product in the real-world. RWD can generate supplemental evidence that reflects a larger and more diverse patient population than is included in clinical trials and address timely clinical questions including use of different treatments in standard of care practice and long-term safety. Aligning best practices and frameworks for aggregating and analyzing RWD will help to ensure RWE is high quality and reliable for supporting oncology drug development and regulatory decision-making and real-world use of products.

Portfolio Timeline

Project Outcomes

Project Partners

Pilot 1.0: COTA, the U.S. Food and Drug Administration (FDA), Flatiron Health, IQVIA, Kaiser Permanente/Cancer Research Network (CRN), Mayo Clinic & OptumLabs, and National Patient Centered Cancer Research Network (PCORnet)/University of Iowa

Pilot 2.0: Aetion, American Society of Clinical Oncology (ASCO) CancerLinQ & ConcertAI, COTA, FDA, Flatiron Health, IQVIA, Kaiser Permanente, Mayo Clinic & OptumLabs, McKesson, National Cancer Institute (NCI) SEER-Medicare Linked Database, Syapse, Tempus

rw-Response Pilot: Ambra Health, ASCO, Columbia University, ConcertAI, COTA, FDA, Flatiron Health, Guardian Research Network, IQVIA, Ontada, Syapse, Tempus