MatchMiner Genomics is an open source computational platform for matching patients to precision cancer medicine clinical trials based on their genomic profile. The platform is in active clinical use at Dana-Farber Cancer Institute, where it helps oncologists and trial investigators identify genomically eligible patients for open trials — accelerating trial accrual and connecting patients to potentially life-saving therapies.
Key Capabilities
Automatically matches patient genomic profiles — mutations, copy number alterations, fusions, and more — against curated trial eligibility criteria in real time.
A structured curation interface lets oncologists and research staff encode complex genomic eligibility criteria from trial protocols into a machine-readable format.
Practicing oncologists can log in to see a filtered list of open trials that match their patients' genomic profiles, prioritized by clinical relevance.
Trial investigators can monitor which patients are genomically eligible for their studies, supporting proactive outreach and enrollment tracking.
Seamlessly integrated with DFCI's Profile next-generation sequencing project, automatically ingesting genomic results as patients are sequenced.
Fully open source and available for adoption by other cancer centers. The platform is designed to be deployable with institutional genomic and clinical data feeds.
Clinical Impact
MatchMiner Genomics is embedded in the clinical workflow at Dana-Farber, operating on genomic data from the Profile project — one of the most comprehensive clinical sequencing efforts in the US. By surfacing trial matches at the point of care, the platform reduces the time and effort required for oncologists to identify trial options, helping patients access precision medicine trials faster.
The platform is actively used by both clinical trial investigators (to identify eligible patients for their studies) and practicing oncologists (to explore trial options for individual patients), making it a two-sided tool for accelerating genomically driven clinical research.