Evgeny Izumchenko, M.Sc., Ph.D.

Oral cavity squamous cell carcinoma (OCSCC) is the most common head and neck cancers worldwide. Finding OCSCC early, when it’s small and hasn’t spread, allows for more successful treatment, and increases patients’ survival. Unfortunately, most of the patients present at advanced stage when diagnosed. Current method for OCSCC diagnosis (which includes cutting of tissue for laboratory testing), is invasive, costly, and depends on examiner experience, underscoring the need for developing noninvasive cancer detection methods. As OCSCC grows, it accumulates mutations in genes known to play role in cancer progression. Our group and others have reported that such mutations can be detected in saliva of patients with OCSCC. However, no saliva-based screening method for early detection of cancer are currently available. Recently we have developed a method based on the targeted sequencing technology specifically designed to detect OCSCC-associated mutations in saliva and validated this assay using specimens collected in India (a country with a high incidence of OCSCC). While these findings provide the foundation for using this ultra-sensitive and cost-efficient assay in clinical settings, frequency of cancer-driving mutations may vary in patients from different ethnical backgrounds. Our proposal will leverage the unique geographic location of the University of Chicago to evaluate the performance of this test across demographically heterogeneous patient populations, as well as across diverse therapeutic approaches for treatment of OCSCC. A well-validated, saliva-based cancer detection assay with optimal analytical performance would represent a significant clinical advancement in cancer care by reducing mortality, while lowering the socio-economic burden of OCSCC.

Location: The University of Chicago Medicine Comprehensive Cancer Center - NC
Proposal: Non-invasive, saliva-based assay for early detection of cancer in patients with high risk of developing oral cavity squamous cell carcinoma (OCSCC)
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