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Pac Symp Biocomput. 2020;25:31-42.

Increasing Clinical Trial Accrual via Automated Matching of Biomarker Criteria.

Author information

1
Departments of Biomedical Data Science and of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA, jwrchen@stanford.edu.

Abstract

Successful implementation of precision oncology requires both the deployment of nucleic acid sequencing panels to identify clinically actionable biomarkers, and the efficient screening of patient biomarker eligibility to on-going clinical trials and therapies. This process is typically performed manually by biocurators, geneticists, pathologists, and oncologists; however, this is a time-intensive, and inconsistent process amongst healthcare providers. We present the development of a feature matching algorithmic pipeline that identifies patients who meet eligibility criteria of precision medicine clinical trials via genetic biomarkers and apply it to patients undergoing treatment at the Stanford Cancer Center. This study demonstrates, through our patient eligibility screening algorithm that leverages clinical sequencing derived biomarkers with precision medicine clinical trials, the successful use of an automated algorithmic pipeline as a feasible, accurate and effective alternative to the traditional manual clinical trial curation.

PMID:
31797584
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