CancerTrialMatch: A computational resource for the management of biomarker-based clinical trials at a community cancer center Journal Article
| Authors: | Swaminathan, P.; Amallraja, A.; Kapadia, S.; Williams, C. B.; Meißner, T. |
| Article Title: | CancerTrialMatch: A computational resource for the management of biomarker-based clinical trials at a community cancer center |
| Abstract: | Motivation: The widespread implementation of next-generation sequencing in cancer care has enabled routine use of molecular and biomarker profiling. At our cancer center, as with many others, biomarker-based clinical trials are increasingly available to oncologists as potential treatment options via molecular tumor boards. To better support this effort, we developed CancerTrialMatch, a systematic approach to capture structured clinical trial data and match patients to trials based on their disease characteristics and sequencing profiles. Results: CancerTrialMatch is an open-source application designed to streamline clinical trial curation and patient trial matching, while also enabling an institution’s curated trial portfolio to be distributed across the institution for easy access to providers, care teams and researchers. It facilitates curating, updating, and searching for trials through a semi-automated interface built using R Shiny, MongoDB, and Docker. While much of the trial data is retrieved via the clinicaltrials.gov Application Programming Interface, certain items like biomarkers and disease subtypes are entered manually. The user inputs disease type using the OncoTree classification, and provides relevant biomarker details, such as mutations, copy numbers, fusions, and other disease-specific markers. This resource reduces the time required for institutional trial management and helps to identify potential clinical trials for patients, ultimately supporting larger clinical trial enrollment and enhancing the clinical application of precision oncology. © The Author(s) 2025. Published by Oxford University Press. |
| Journal Title: | Bioinformatics |
| Volume: | 41 |
| Issue: | 4 |
| ISSN: | 1367-4803 |
| Publisher: | Oxford University Press |
| Date Published: | 2025-04-01 |
| Start Page: | btaf144 |
| Language: | English |
| DOI: | 10.1093/bioinformatics/btaf144 |
| PROVIDER: | scopus |
| PMCID: | PMC12002907 |
| PUBMED: | 40163700 |
| DOI/URL: | |
| Notes: | Article -- Source: Scopus |
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