dc.contributor.author | Li, Xuanyi | |
dc.contributor.author | Warner, Jeremy L. | |
dc.date.accessioned | 2020-11-03T17:29:13Z | |
dc.date.available | 2020-11-03T17:29:13Z | |
dc.date.issued | 2020-02-11 | |
dc.identifier.citation | Li 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.2020.00048 | en_US |
dc.identifier.issn | 2296-634X | |
dc.identifier.uri | http://hdl.handle.net/1803/16265 | |
dc.description.abstract | The 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.sponsorship | JW 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.iso | en_US | en_US |
dc.publisher | Frontiers in Cell and Developmental Biology | en_US |
dc.rights | Copyright © 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.uri | https://www.readcube.com/articles/10.3389/fcell.2020.00048 | |
dc.subject | precision oncology | en_US |
dc.subject | knowledgebase | en_US |
dc.subject | variant interpretation | en_US |
dc.subject | actionability | en_US |
dc.subject | targeted therapy | en_US |
dc.subject | genotype-selective clinical trial | en_US |
dc.subject | tumor genetic testing | en_US |
dc.title | A Review of Precision Oncology Knowledgebases for Determining the Clinical Actionability of Genetic Variants | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.3389/fcell.2020.00048 | |