jhavlek

Applying immunopeptidomics and machine learning to improve neoantigen prediction for therapeutic and diagnostic use Neoantigens are increasingly critical in immuno-oncology as therapeutic targets for neoantigen-based personalized cancer vaccines (PCVs) and as potential biomarkers for immunotherapy response. However, optimizing technologies for identifying neoepitopes that are more likely to provoke an immune response remains an important [...]

A comprehensive, highly accurate genomics platform for precision immunotherapy: Simultaneously characterize tumors and the TME from a single FFPE sample While the success of checkpoint blockade has been hugely promising, it’s increasingly apparent that predicting response to immunotherapies and developing new ones requires a more comprehensive approach to tumor immunogenomic profiling. We believe this [...]

2019 AACR: T-cell receptor repertoire profiling using an augmented transcriptome Immunotherapy is growing as one of the most promising therapeutic approaches in clinical oncology practice. This brings with it an increasing need for comprehensive immuno-genomic profiling of tumors to better understand the interaction with the immune system. This includes profiling of the T and [...]

Development and validation of an accurate exome-scale cfDNA detection platform Neoantigens are increasingly used as biomarkers for response to checkpoint blockade therapy and as therapeutic targets for neoantigen-based personalized cancer vaccines. Accurate identification of neoantigens requires comprehensive exome and transcriptome sequencing of both a tumor biopsy and a matched normal sample to enable identification [...]

Sensitive detection of oncoviruses integrated into a comprehensive tumor immuno-genomics platform 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 [...]