Abstract Determining which HPV+ oropharyngeal squamous cell carcinoma (OPSCC) patients will respond to therapy is of utmost important for implementation of treatment de-escalation to reduce morbidity or testing of novel therapeutic approaches. Due to the lack of reliable indicators of treatment response, we explored the gene expression profile of OPSCC in order to better understand the biology of these tumors and identify novel biomarkers. In this study, we investigated human genes associated with HPV transcription in 80 OPSCC samples from The Cancer Genome Atlas (TCGA). This exploratory analysis provided a list of 582 human genes associated with HPV biology. Hierarchical clustering analysis using the 582 human genes was used to separate HPV+ OPSCC in two groups with significantly distinct survival (log-rank test p < 0.001) and differential expression of HPV genes. A refinement of this analysis generated a prognostic gene expression signature for HPV+ OPSCC containing 41 human genes. These results were validated in two independent cohorts of HPV+ OPSCC (n=83 and n=47) and one independent cohort of cervical cancer (n=83). In all three validation cohorts our 41 gene expression signature was able to identify a group of HPV+ OPSCC patients with worse survival. Further refinement and validation of the signature is ongoing. In order to understand the biology related to poor outcome in HPV+ OPSCC, a whole transcriptome analysis between the two initial HPV+ OPSCC TCGA groups was performed. Pathway analysis identified cell metabolism, cell stress, and DNA damage related genes were highly associated with poor outcome. Similar patterns of gene expression were found in vitro in a panel of 10 HPV+ cell lines, and markers of the poor outcome were found to be associated with reduced radiation sensitivity in vitro. Our study has identified prognostic biomarkers in HPV+ OPSCC with potential clinical importance. These biomarkers may be useful for selection of low risk patients for treatment de-escalation or selection of high risk patients for novel therapeutic approaches. These biomarkers are also functionally linked to radiation sensitivity and may include new therapeutic targets. Citation Format: Frederico O. Gleber-Netto, Xiayu Rao, Kelly Erikson, Keiko Akagi, Faye M. Johnson, Jing Wang, Joseph Califano, Maura L. Gillison, Jeffrey N. Myers, Curtis R. Pickering. Risk stratification and biomarker discovery in HPV-positive oropharynx squamous cell carcinoma determined by HPV and human gene expression profile associations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4621.