What is DrugCVar
Targeted therapy for cancer-related genetic variants is critical for precision medicine. Although several databases including CIViC, OncoKB, CGI, MCG provide clinical interpretations of variants in cancer, the clinical evidences were limited and miscellaneous.
In our study, we provide the DrugCVar software, which integrated our manually curated cancer variant-drug targeting evidences from literature and the interpretations from the public resources. In total, more than 7,000 clinical evidences for cancer variant-drug targeting were integrated and classified into nine evidence tiers referring to ESMO Scale for Clinical Actionability of molecular Targets (ESCAT). Searching and browsing functions were provided for quick queries of cancer variant-drug targeting evidences. Also, a webserver was developed for batch annotation of use-provided massive genetic variants in various formats. Details such as the location of the variants in gene and protein structures were also provided to further investigations. Thus, DrugCVar provided a comprehensive annotation tool to interpret potential drug for cancer variants especially the massive ones from clinical cancer genomics studies.
How to use DrugCVar
On the Search page of DrugCVar, users can specify One or more fields to perform a quick search with the keyword(s) in the field(s). Users can simply click example and submit buttons to perform an example search. We offer a few tips to make it easier for users to use
On the Browse page, users can click one term to view the specified data in DrugCVar. The browse page is consisting of three modules including Gene, Drug and Tumor, which are sorted alphabetically. Users can click the initial and select the term of interest.
Annotation function is mainly for in-depth analysis of tumor-related mutations. DrugCVar supports the function and drug annotation of single or batch mutations. Users can choose to manually enter or upload a file in a specified format to submit a list of mutations requiring annotations.
1、 Firstly,you need to select the reference genome.
2、 Secondly, you need to choose the types of tumors you want, and we also provide a more detailed tumor classification for you to choose.
3、 Then, according to the format requirements input single or batch variations or upload the corresponding format of the file.
4、 Finally, you can leave your email address to get the progress and results of the task, or use the task ID at any time to get the results of the analysis. We will also show the analysis result on the page, which may takes more about 5 minutes.
On the result page, users can view the search or browse results, and further filter them by the options we provide.
On the annotation result page, users can view the summary of annotation results. More details about annotation result will be displayed while users click the 'More' button, which include medication strategy, mutation visualization and mutation background in TCGA.
Clinical evidences grading
In DrugCVar, the clinical evidences of drugs were devided into 9 levels, the details are shown below.