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Genomic and human papillomavirus profiling of an oral cancer cohort identifies TP53 as a predictor of overall survival
- Mundi, Neil;
- Prokopec, Stephenie D;
- Ghasemi, Farhad;
- Warner, Andrew;
- Patel, Krupal;
- MacNeil, Danielle;
- Howlett, Christopher;
- Stecho, William;
- Plantinga, Paul;
- Pinto, Nicole;
- Ruicci, Kara M;
- Khan, Mohammed Imran;
- Han, Myung Woul;
- Yoo, John;
- Fung, Kevin;
- Sahovaler, Axel;
- Palma, David A;
- Winquist, Eric;
- Mymryk, Joe S;
- Barrett, John W;
- Boutros, Paul C;
- Nichols, Anthony C
- et al.
Published Web Location
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894507/No data is associated with this publication.
Abstract
Background
The genomic landscape of head and neck cancer has been reported through The Cancer Genome Atlas project. We attempt to determine if high-risk human papillomavirus (HPV) or frequently mutated genes are correlated with survival in an oral cancer cohort.Methods
Patient demographic data along with data from final pathology was collected. Tumor DNA was analyzed using a custom Illumina targeted sequencing panel. Five high-risk HPV types were tested by qPCR. Statistical analyses were used to identify associations between patient outcome and mutational status.Results
High-risk HPV types were identified in 7% of cases; HPV status was not associated with survival. Mutations were identified in TP53, TERT promoter, & PIK3CA. Mutations in TP53 were significantly associated with poorer overall survival on multi-variate analysis (p = 0.03).Conclusions
Mutations in TP53 were associated with poor patient survival. Expanding our sample size may identify further predictors of outcome to direct customized cancer care.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.