The Merkel Cell Carcinoma Patient Registry: From Promise to Prototype to Patient.

Journal of registry management(2022)

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摘要
The Merkel Cell Carcinoma (MCC) Patient Registry is a national multi-institutional collaborative effort that will prospectively follow and record outcomes and events in MCC patients. MCC is the prototypical rare tumor, and this Registry will trail blaze new methodologies that will enable multiple investigators to examine real world outcome data in real time. Deliverables from the Registry include precise patient stratification into risk categories, identification of best practices, real-world data for drug development programs, revelations about optimal sequence and combinations therapies, uncovering low incidence toxicities, and the generation of novel testable hypotheses. Importantly, the Registry offers a way forward in the yet-unsolved dilemma of drug development for rare tumors, since the Registry's design will allow the creation of highly defined patient-level data that can be used as a robust comparator for single arm phase I and II clinical trials. The MCC Task Force comprises members from academic medical centers, the drug industry, the National Institutes of Health, and the US Food and Drug Administration. Project Data Sphere, LLC provides a secure, open-access data sharing platform and comprehensive support to optimize research performance and ensure rigorous and timely results. The Registry is currently in development and is based on a REDCap database integrated into the host institution's electronic medical record. We plan to have the first patient accessioned on Project Data Sphere's data platform in the second quarter of 2022. Members of the MCC Registry Task Force represent a joint effort of research and clinical investigators from academia, industry and regulatory science to develop the first publicly held MCC registry on Project Data Sphere's open-access data platform. Our hope is that this shared repository will allow investigators to identify new approaches, improve treatment outcomes, shorten the time from discovery to implementation and, ultimately, improve patient lives.
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