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CKB is a dynamic digital resource for interpreting even the most complex cancer genomic profiles. Used by thousands of clinicians and researchers across the globe, CKB saves time and finds valuable information that connects cancer variants to therapies and clinical trials.
In May of 2024, CKB became part of Genomenon. With the addition of CKB, Genomenon can provide an unprecedented understanding of the genome, with insights covering both germline and somatic variants, furthering its lead in the race to curate the genome.
For translational and clinical researchers, CKB provides thousands of literature citations, FDA drug labels, and clinical trials relative to a tumor’s genomic mutation or profile, resulting in a clear and up-to-date picture of discoveries and active developments for various biomarkers.
Identify new drugs and combinations of drugs that are currently being tested preclinically.
Although these therapies may not have made it to clinical trials, they may promise new options for future clinical development.
Identify possible resistance variants.
Sometimes a variant is present in a clinical sample following progressive disease, but is it driving the resistance? Using a controlled cell line expressing a presumed resistance variant and then assessing the drug resistance level can help confirm whether the variant may be predicted to cause resistance to a drug.
Identify resistance mechanisms for drug development.
If you are developing a new drug, knowing the commonly observed resistance variants that could be relevant for development may be helpful.
CKB can help increase clinician confidence in the completeness and accuracy of the information related to the patient’s tumor genomic profile, ensuring the best-informed clinical decision is made for a patient.
Navigate variant relationships and identify the highest level of evidence or relevant clinical trial(s), saving valuable time.
Identify the most appropriate therapy based on evidence level and variant tier coding.
Identify possible therapies and clinical trials for patients through category-variant relationships.
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