Paper

A Platform for Oncogenomic Reporting and Interpretation

Stevenson, Ross, Douglas, Matthew, Yip, Stephen, Davies, Anna, Pleasance, Erin, Mitchell, Teresa, Marra, Marco A, Fisic, Ana, Mungall, Karen L, Chuah, Eric, Pletz, Raphael Matiello, Pierce, Brandon M, Hansen, Wong, Bonakdar, Melika, Renouf, Daniel J, Williamson, Laura, Muhammadzadeh, Amir, Jones, Steven J M, Reisle, Caralyn, Pham, David, Bailey, Lance, Abbey Reisle, Pellegrini, Brayden, Nelson, Jessica M T, Ma, Yussanne, Jones, Martin R, Isaac Beckie, Li, Jacky, Laskin, Janessa, Bleile, Dustin W, Krzywinski, Martin, Grisdale, Cameron J

2021

Overview

Manual interpretation of variants remains rate limiting in precision oncology. The increasing scale and complexity of molecular data generated from comprehensive sequencing of cancer samples requires advanced interpretative platforms as precision oncology expands beyond individual patients to entire populations. To address this unmet need, we created the Platform for Oncogenomic Reporting and Interpretation (PORI), comprising an analytic framework created to facilitate the interpretation and reporting of somatic variants in cancer. PORI is unique in its integration of reporting and graph knowledge base tools combined with support for manual curation at the reporting stage. PORI represents one of the first open-source platform alternatives to commercial reporting solutions suitable for comprehensive genomic data sets in precision oncology. We demonstrate the utility of PORI by matching 9,961 TCGA tumours to the graph knowledge base, revealing that 88.2% have at least one potentially targetable alteration, and making available reports describing select individual samples. Competing Interest Statement The authors have declared no competing interest. Footnotes * https://github.com/bcgsc/pori

• Publisher: Cold Spring Harbor Laboratory Press,Cold Spring Harbor Laboratory
• Subject: Bioinformatics / Oncology / Precision medicine / Tumors