Comparative Analysis of Public Knowledge Bases for Precision Oncology

被引:22
|
作者
Pallarz, Steffen [1 ]
Benary, Manuela [1 ,2 ]
Lamping, Mario [2 ]
Rieke, Damian [2 ,3 ]
Starlinger, Johannes [2 ]
Sers, Christine [2 ,4 ]
Wiegandt, David Luis [1 ]
Seibert, Marc [1 ]
Seva, Jurica [1 ]
Schaefer, Reinhold [2 ,4 ]
Keilholz, Ulrich [2 ]
Leser, Ulf [1 ]
机构
[1] Humboldt Univ, Berlin, Germany
[2] Charite Univ Med Berlin, Berlin, Germany
[3] Berlin Inst Hlth, Berlin, Germany
[4] German Canc Res Ctr, German Canc Consortium, Heidelberg, Germany
关键词
CLINICAL INTERPRETATION; MUTATIONS;
D O I
10.1200/PO.18.00371
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PURPOSE Precision oncology depends on the availability of up-to-date, comprehensive, and accurate information about associations between genetic variants and therapeutic options. Recently, a number of knowledge bases (KBs) have been developed that gather such information on the basis of expert curation of the scientific literature. We performed a quantitative and qualitative comparison of Clinical Interpretations of Variants in Cancer, OncoKB, Cancer Gene Census, Database of Curated Mutations, CGI Biomarkers (the cancer genome interpreter biomarker database), Tumor Alterations Relevant for Genomics-Driven Therapy, and the Precision Medicine Knowledge Base. METHODS We downloaded each KB and restructured their content to describe variants, genes, drugs, and gene-drug associations in a common format. We normalized gene names to Entrez Gene IDs and drug names to ChEMBL and DrugBank IDs. For the analysis of clinically relevant gene-drug associations, we obtained lists of genes affected by genetic alterations and putative drug therapies for 113 patients with cancer whose cases were presented at the Molecular Tumor Board (MTB) of the Charite Comprehensive Cancer Center. RESULTS Our analysis revealed that the KBs are largely overlapping but also that each source harbors a notable amount of unique information. Although some KBs cover more genes, others contain more data about gene-drug associations. Retrospective comparisons with findings of the Charite MTB at the gene level showed that use of multiple KBs may considerably improve retrieval results. The relative importance of a KB in terms of cancer genes was assessed in more detail by logistic regression, which revealed that all but one source had a notable impact on result quality. We confirmed these findings using a second data set obtained from an independent MTB. CONCLUSION To date, none of the existing publicly available KBs on gene-drug associations in precision oncology fully subsumes the others, but all of them exhibit specific strengths and weaknesses. Consideration of multiple KBs, therefore, is essential to obtain comprehensive results. (C) 2019 by American Society of Clinical Oncology
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页码:1 / 8
页数:8
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