MatchMiner is an open source computational platform for matching patient-specific genomic profiles to precision cancer medicine clinical trials. The platform is being developed at Dana-Farber Cancer Institute, where it will be used to enable precision medicine initiatives, based on Profile, our enterprise genomic profiling initiative available to all patients.
The platform is currently being developed in two distinct stages, and piloted at DFCI, after which point the entire platform will be made fully open source, and available to other institutions. Stage 1 of the MatchMiner platform is focused on “trial-centric” matching, enabling clinical trial investigators to create individualized genomic filters, and use these filters to: 1) forecast clinical trial enrollment, based on two-years of genomic sequencing at DFCI; 2) retrospectively identify new patients for clinical trials; and 3) receive alerts of newly sequenced patients matching specific genomic criteria. Stage 2 of the platform is focused on “patient-centric” matching, enabling any clinician to view matching clinical trials for their specific patient, based on genomic eligibility and real-time clinical trial enrollment slot availability. Stage 2 will require central curation of clinical trials at DFCI, and as part of this curation effort, we aim to create an open standard for representing genomic eligibility criteria for clinical trials.
MatchMiner will be launched at DFCI in Q1 2016 as a fully HIPAA compliant platform, and we are currently looking for external partners to extend and pilot the platform.
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CommentCurtis A. Bagne