mckinleymedia

2021 AACR: Accurate modeling of antigen processing and MHC peptide presentation using large-scale immunopeptidomes and a novel machine learning framework Neoantigens, which are antigens specific to cancer cells, can be harnessed to develop personalized cancer vaccines and prognostic biomarkers for checkpoint blockade inhibition. Next generation sequencing technologies have enabled comprehensive profiling of putative neoantigens [...]

2021 AACR: Pan-cancer survey of HLA loss of heterozygosity using a robustly validated NGS based machine learning algorithm HLA loss of heterozygosity (LOH) is increasingly being recognized as an important immune escape mechanism in response to checkpoint inhibitor therapy. HLA LOH reduces the repertoire of neoantigens displayed on the cell surface of cancer cells, [...]

2021 AACR: Pan-cancer shedding patterns of tumor circulating cell-free DNA Tumor circulating cell-free DNA (ctDNA) comprises DNA molecules cast from tumors that reach and circulate in a patient's bloodstream. Given its non-invasive nature, the liquid biopsy of ctDNA has remarkable potential for diagnosis, prognosis, disease progression tracking, and treatment monitoring. Nonetheless, little is known [...]

2021 AACR: Profiling tumor-infiltrating immune cells using an augmented transcriptome Due to the complexity of tumor-immune interactions, comprehensive profiling of both the tumor and tumor microenvironment (TME) can help further our understanding of tumor progression and response to treatment. One significant application is quantification of the immune infiltrate, which has the potential to characterize [...]