FeaturesΒΆ
In the CIViC data model, Features are a top level entity, and Variants are associated with Features. Types of Features supported by CIViC include: Genes, Fusions, and Factors, discussed further below. Features were introduced to broaden the types of Variants for which CIViC curation can be performed beyond Gene-based variants exclusively.
The motivation for addition of Features emerges from considering that cancer biomarkers with clinical impact are not always directly associated to single/individual genes. For example;
High Microsatellite Instability (MSI-H) can be associated with positive prognostic outcome in colorectal cancer
High Tumor Mutation Burden (TMB) can be sensitizing to pembrolizumab in solid tumors
HPV infection in cervical cancer can have prognostic value dependent on HPV subtype
The sections below will give the user an understanding of the Feature data model