Abstract Introduction HPV, HBV, HCV and EBV viruses are causally linked to over 11% of cancers worldwide while KSHV, HTLV and MCV are linked to an additional 1%. As use of immunotherapy expands to a broader variety of cancers, it is important to understand how these oncoviruses may be impacting the overall immune response in patients as part of the tumor and tumor microenvironment. However, typical cancer diagnostic and genomic biomarker assays do not include oncovirus detection. Methods To enable detection of these oncoviruses, we have developed ImmunoID NeXT, a novel augmented exome and transcriptome based platform that comprehensively characterizes tumor and tumor microenvironment from a single sample. As part of the platform assay design we developed targeting for the following oncoviruses: HPV, HBV, HCV, EBV, KSHV and HTLV. Furthermore we developed analytics for detecting these viruses from both the DNA and RNA data. To test the ability of the platform to detect these oncoviruses, we identified a set of 11 EBV cell lines from Coriell in which EBV was used as a transformant. We obtained another 23 cell lines from ATCC containing HPV16, HPV18, HPV45, HPV68, HBV, EBV, KSHV, HTLV1 and HTLV2 in which the oncoviruses were known to be in the tumors from which the cell lines were created. We have also started running a series a FFPE tumor samples of unknown status. We extracted DNA and RNA from all these samples, made libraries and sequenced them on a NovaSeq to 30G. High quality read counts were computed for all targeted oncoviruses. Results We detected EBV in all the Coriell cell lines in both DNA and RNA indicating strong sensitivity of the platform. Wide dynamic range suggests quantification may be possible as well. In the DNA there was no signal from any other oncovirus indicating high specificity. In the ATCC samples we detected 23 out of 23 oncoviruses expected in both the DNA and RNA. We detected all the different types of oncoviruses that we targeted except for HCV because it wasn’t in any sample. In all but one case the signals were strong. False positive detections appear to be rare. Much less than 1% of the overall exome/transcriptome reads map to oncoviruses in all cases. Conclusions Oncovirus detection integrated into an augmented exome and transcriptome assay is sensitive and specific. Oncoviral characterization of the tumor as part of a comprehensive tumor immunogenomics platform can serve and an important additional biomarker for understanding immunotherapy response. Citation Format: Gabor Bartha, Robin Li, Shujun Luo, John West, Richard Chen. Sensitive detection of oncoviruses integrated into a comprehensive tumor immuno-genomics platform [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3788.