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Expanding the CIViC Data Model to non-Gene based Variants #65
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10 interested |
For 2024 the discussion will be focused on the Factor type |
Source of cancer related viruses: |
One product of our discussion was a brainstormed list of possible factors to consider further:
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https://civicdb.org/evidence/11445/summary An CNS tumor example where the methylation profile was used, albeit under gene name / molecular profile. |
Association of CD8+ T-cell and M1/M2 ratio scores with immunotherapy response (PMID: 33020056). Mutation signature SBS3 and sensitivity to PARPi or platinum agents (PMID: 25719666, 26511885). Glioma CpG island methylator phenotype (GCIMP) with prognostic implications (PMID: 29036500). Global hypomethylation has prognostic and therapeutic implications in osteosarcoma (PMID: 35260776). |
FDA approval of pembrolizumab for TMB-high solid tumours: https://www.fda.gov/drugs/drug-approvals-and-databases/fda-approves-pembrolizumab-adults-and-children-tmb-h-solid-tumors |
Submitter Name
Arpad Danos
Submitter Affiliation
Washington University
Submitter Github Handle
arpaddanos
Additional Submitter Details
No response
Project Details
Required Knowledge
Some experience in cancer variant interpretation
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