Evaluating Oncogenicity in VSClinical

About this webinar

Recorded On: Wednesday, June 10, 2020

Before assessing the clinical significance of a somatic mutation, one must determine if the mutation is likely to be a driver mutation (i.e. a mutation that provides a selective growth advantage, thereby promoting cancer development). To aid clinicians in this process, VSClinical provides an oncogenicity scoring system, which uses a variety of metrics to classify a given somatic mutation into one of the following categories: oncogenic, likely oncogenic, benign, likely benign, or uncertain significance. This scoring system is heavily inspired by the ACMG Guidelines for the interpretation of germline mutations but has several important differences to make it more applicable in the context of somatic variant interpretation.

Our oncogenicity scoring system relies on an additive point system in which points are assigned to a given variant based on several criteria. The various criteria that are considered when evaluating a given variant are summarized on the table below:

Applies To​

Criteria​

-5B​

-3B​

-2B​

-1B​

+1O​

+2O​

+3O​

All​

Population Frequency​

-5​

-3​

-1​

Homozygous in Controls​

-2​

-1​

In Somatic Catalogs​

+1​

+2​

+3​

Relevant Variant Assessments​

-1​

+2​

+3​

Null​

Damaging LoF​

+1​

+2​

LoF are Oncogenic Mutations in Gene​

+1​

Missense​

Nearby Pathogenic Missense Variants​

+2​

In-Frame not in Repeat Region​

+1​

Somatic Hotspot & Active Binding Sites​

+1​

+2​

Non-Null​

Computational Evidence​

-1​

+1​

All​

Splice Site Prediction​

+1​

+2​

Non-Coding​

Silent, Intronic, UTR, Intergenic Variants w/ No Splice Effect​

-3​


Many of the criteria above are shared by the ACMG Guidelines for germline variant interpretation, such as population frequency information, variant effect on protein function, and nearby pathogenic variants in catalogs such as ClinVar. However, other criteria are specific to the world of somatic variant interpretation. These include the variant’s presence in somatic catalogs, the effect of other known oncogenic variants in the same gene, and the variant’s presence in known cancer hotspots or active binding sites.  These criteria are combined by summing over the scores for all applicable scoring criteria. Scores exceeding 3 indicate an oncogenic or likely oncogenic classification, while scores falling below -3 indicate a benign or likely benign classification.

In our upcoming webcast, I will discuss how each of these scoring criteria are combined to obtain an oncogenicity classification. This will include a discussion of the considerations taken into account during the development of this scoring system and a detailed analysis of several example mutations to illustrate the system in practice.

Watch on demand

Please enjoy this webcast recording. Should you have any questions about the content covered, please reach out to our team here.

Download the slide deck

To download a copy of the slides, visit our SlideShare page. From there, you can browse through our presentations and either clip your favorite slides or download the entire deck directly to your computer.

Love this webcast? Check out more!

Find out how Golden Helix software enables users to harness the full potential of genomics to identify the cause of disease, improve the efficacy and safety of drugs, develop genomic diagnostics, and advance the quest for personalized medicine.