Founded in 2016, MatchMiner is an open source computational platform developed by the Knowledge Systems Group at Dana-Farber Cancer Institute (DFCI) for matching patient-specific genomic profiles to cancer precision medicine trials. The main goals of MatchMiner are:
1. Accelerate trial enrollment onto cancer precision medicine trials.
2. Maximize potential trial options for all patients.
Core Components
Clinical Trial Markup Language (CTML)
Clinical Trial Markup Language (CTML) is a human readable markup language that allows users to structure clinical trial details including clinical and genomic eligibility.
CTML supports a wide range of clinical trial information and is easily extended to include new criteria. Eligibility criteria can include genomic, clinical, and demographics.
Modes of Use
MatchMiner provides 3 modes to match patients to precision medicine trials
Patient-Centric
This mode enables patient care providers and clinical research staff to view patient trial matches on an individual basis.
Trial-Centric
This mode enables trial staff to identify patients with specific genomic and clinical features that match a trial’s eligibility criteria.
Trial Search
This mode enables patient care providers and clinical research staff to view trials matches for individual patients. This mode requires manual evaluation of trial matches for each genomic alteration of interest.
Publications and Presentations
Publications
MatchMiner: An open-source platform for cancer precision medicine
Presentations
AACR 2022 Poster
Design and Adoption of MatchMiner at Dana-Farber Cancer Institute
AACR MTCT 2021 Poster
MatchMiner: An open-source computational platform that accelerates patient enrollment on to precision medicine trials
AACR 2021 Poster
MatchMiner: An open-source computational platform that accelerates patient enrollment on to precision medicine trial
AACR MTCT 2020 Poster
MatchMiner: Computational matching of cancer patients to precision medicine clinical trials
AACR 2020 Talk
Platform for genomically-driven matching of cancer patients to precision medicine clinical trials
AACR MTCT 2019 Poster
MatchMiner: An open-source computational platform for genomically-driven matching of cancer patients to precision medicine clinical trials
AACR 2018 Poster
Assessing patient trial readiness for precision cancer medicine clinical trials through computational trial matching and rule-based logic applied to genomic and clinical data
ASCO 2017 Poster
Algorithmic matching of genomic profiles to precision cancer medicine clinical trials at DFCI.