Count Me In: patient-partnered research to address disparities for rare cancer patients.

Abstract

Background: Approximately 25% of cancer patients are diagnosed with rare cancers and face unique challenges. Decentralized patient-partnered research efforts, like Count Me In provide an avenue for patients to participate in research that overcomes key barriers to address disparities in rare cancer research to accelerate discovery.

Objectives: Projects in metastatic breast cancer (The Metastatic Breast Cancer Project; MBCproject) and angiosarcoma (The Angiosarcoma Project; ASCproject) highlight disparities that exist for all cancer patients and underscore those that are compounded for rare cancer patients.

Design: Through Count Me In's research platform, patients visit a website to enroll in the study and complete surveys, which allows us to access their medical records and biospecimens. Clinically annotated sequencing data are de-identified and released on research platforms.

Methods: MBCproject and ASCproject data were analyzed to identify differences between patients with a more common and rare cancer, respectively. The analysis included outreach strategies, patient-reported themes, and distance traveled for care.

Results: As of September 28, 2023, 3742 patients have enrolled in MBCproject and 491 patients have enrolled in the ASCproject from across the United States and Canada. Outreach strategies were tailored to resource availability. Using survey information, it was observed that patients with a rare cancer (angiosarcoma) traveled longer distances to receive care than those with a more common cancer (metastatic breast cancer) for three major cancer centers. Patients with rare and common cancers highlighted different themes when asked about their disease experience. Themes like misdiagnosis and discontent with resource availability came up more often for rare cancer patients. Data sharing and collaboration in angiosarcoma research enabled rapid discoveries with clinical impact.

Conclusion: Count Me In's platform has led to unprecedented data generation and findings in rare cancer through partnering with patients. Directly engaging with patients to generate and share data while emphasizing collaboration sets the foundation for a more equitable future.