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A Review of Precision Oncology Knowledgebases for Determining the Clinical Actionability of Genetic Variants

dc.contributor.authorLi, Xuanyi
dc.contributor.authorWarner, Jeremy L.
dc.date.accessioned2020-11-03T17:29:13Z
dc.date.available2020-11-03T17:29:13Z
dc.date.issued2020-02-11
dc.identifier.citationLi X and Warner JL (2020) A Review of Precision Oncology Knowledgebases for Determining the Clinical Actionability of Genetic Variants. Front. Cell Dev. Biol. 8:48. doi: 10.3389/fcell.2020.00048en_US
dc.identifier.issn2296-634X
dc.identifier.urihttp://hdl.handle.net/1803/16265
dc.description.abstractThe increased availability of tumor genetic testing and targeted cancer therapies contributes to the advancement of precision medicine in the field of oncology. Precision oncology knowledgebases provide a way of organizing clinically relevant genetic information in a way that is easily accessible for both oncologists and patients, facilitating the genetic-based clinical decision making. Many organizations and companies have built precision oncology knowledgebases, intended for multiple users. In general, these knowledgebases offer information on cancer-related genetic variants as well as their associated diagnostic, prognostic, and therapeutic implications, but they often differ in their information curations, designs, and user experiences. It is advisable that oncologists use multiple knowledgebases during their practice to have them complement each other. In the future, convergence toward common standards and formats is needed to ensure that the comprehensive knowledge across all sources can be unified to bring the oncology community closer to the achievement of the goal of precision oncology.en_US
dc.description.sponsorshipJW was supported in part by NCI grant CA231840 and the Vanderbilt University Office of Health Sciences Education (OHSE). XL was supported in part by the Ann Melly Summer Scholarship in Oncology.en_US
dc.language.isoen_USen_US
dc.publisherFrontiers in Cell and Developmental Biologyen_US
dc.rightsCopyright © 2020 Li and Warner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
dc.source.urihttps://www.readcube.com/articles/10.3389/fcell.2020.00048
dc.subjectprecision oncologyen_US
dc.subjectknowledgebaseen_US
dc.subjectvariant interpretationen_US
dc.subjectactionabilityen_US
dc.subjecttargeted therapyen_US
dc.subjectgenotype-selective clinical trialen_US
dc.subjecttumor genetic testingen_US
dc.titleA Review of Precision Oncology Knowledgebases for Determining the Clinical Actionability of Genetic Variantsen_US
dc.typeArticleen_US
dc.identifier.doi10.3389/fcell.2020.00048


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