<p>Cancer cells can escape immune recognition through human leukocyte antigen (HLA) loss of heterozygosity (LOH) which results in deletion of HLA alleles, causing a reduction in presentation of tumor neoantigens. Despite its influence on immunotherapy response, few methods exist to detect HLA LOH, and accuracy of the approaches is poorly defined. Here, we present DASH (Deletion of Allele-Specific HLAs), a machine learning-based algorithm developed to detect HLA LOH from paired tumor-normal sequencing data. Using DASH to characterize HLA LOH in 610 patients across 15 cancer types, we found that 18% of patients had loss of heterozygosity in at least one HLA allele, suggesting the HLA LOH is a widespread, and potentially key immune resistance strategy in multiple cancers.<br></p>

Pan Cancer Investigation of Human Leukocyte Antigen Loss of    Heterozygosity

14 variables across Demographics, Disease Events, Race and Ethnicity

Pan Cancer Investigation of Human Leukocyte Antigen Loss of Heterozygosity

Demographics (2)

Disease Events (3)

Race and Ethnicity (1)

Other (8)