Abstract 3903: Discovery of ULBP6 as a novel immuno-oncology target using pleiotropic signals from 23andMe’s genetic and health survey database

Abstract

Abstract 23andMe has assembled one of the largest platforms for human genetics research that combines genotypes from 14 million individuals, 80% of which are consented to participate in research, with billions of phenotypic data points collected from health survey data. Using these large scale genetic and phenotypic datasets, we have developed a unique target discovery platform that has identified hundreds of pleiotropic genetic variants with opposing directionality of effects in cancer and immune diseases. These immune-oncology (I/O) genetic associations point to already clinically validated immune checkpoint receptors (e.g., CTLA4) and those currently in clinical trials (e.g., CD200R1). This suggests that these I/O genetic associations could be linked to genes that are broadly utilized by tumor cells to evade the immune system and could be used to identify novel therapeutic targets involved in regulating anti-tumor immune response. Here, we utilized expression quantitative trait loci (eQTLs) and annotation of coding single nucleotide polymorphisms (SNPs) to link one of these signals to a causal gene, and identified ULBP6, a stress-induced ligand for the activating immunoreceptor NKG2D found on NK and T cells. ULBP6 is known to be shed from the cell surface of tumor cells to block its interaction with NKG2D to evade immune surveillance. Expression profiling of ULBP ligands in various tumor types using MSD, IHC, bulk and single-cell RNA-seq revealed tumor-intrinsic up-regulation of ULBP6 in squamous cancer subtypes. Collectively, these data suggest that ULBP6 is a promising therapeutic target, and that can potentially enhance anti-tumor immunity. Citation Format: Susanne Tilk, Pierre Fontanillas, Wei-Jen Chung, Clifford Hom, Shi Shi, Anh Diep, Kim Gerrick, Mauro Poggio, Pranidhi Sood. Discovery of ULBP6 as a novel immuno-oncology target using pleiotropic signals from 23andMe’s genetic and health survey database [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3903.