Lilly Oncology



PACE (Patient Access to Cancer care Excellence), a Lilly Oncology initiative, exists to encourage public policies and health care decisions that speed the development of new medicines, assure cancer treatments respond to the needs and qualities of individual patients, and improve patient access to the most effective cancer medicines. In 2012, the PACE Global Council convened to identify potential barriers to innovation in oncology research and specific strategies to remove obstacles to improved cancer care. From this meeting emerged a recognition of the need to build understanding among researchers, policymakers, and patient advocates of the contributions of continuous innovation in the fight against cancer. Download Brochure

How We Helped

RLA’s initial role was to conduct for the Global Council an analysis of the public policy environment and barriers to rapid research and development in oncology. RLA then developed the PACE Continuous Innovation Indicators™ (CII) – the first, evidence-based, customizable online tool to review progress against cancer over time. The CII provides an interactive platform for conducting a variety of analyses across 12 types of cancer. RLA regularly updates the CII with the latest data and presents consequent research at scientific conferences.

Work Products and Links

Access the PACE CII interactive tool!

The Cancer Policy Environment: Barriers to Faster Oncology Innovation, and Strategies for Moving Forward (November 2012)

PACE Continuous Innovation Indicators—a novel tool to measure progress in cancer treatments (eCancerMedicalScience, 2015)

Dynamic value assessments in oncology supported by the PACE Continuous Innovation Indicators (Future Oncology, 2017)

The PACE continuous innovation Indicators: A flexible tool to evaluate progress in cancer treatments (Journal of Clinical Oncology, 2017)

Approving cancer treatments based on endpoints other than overall survival: an analysis of historical data using the PACE Continuous Innovation Indicators™ (CII) (Drugs in Context, 2017)