Utilization of genetically diverse mouse model identifies genetic loci that correlate to response to immune checkpoint inhibitors to B16F0 melanoma

Abstract

Abstract Historically metastatic melanoma has been associated with poor prognosis. The advent of immune checkpoint inhibitors targeting CTLA-4 and PD-1 have greatly improved patient survival in metastatic melanoma, but a significant proportion of patients fail to respond to therapy. To explore the effect of genetic background on immune checkpoint inhibitor efficacy, we have developed a tumor immunotherapy model using genetically heterogeneous Diversity Outbred (DO) mice and the C57BL/6 syngeneic B16F0 melanoma model. To implement genetic diversity, DO mice were crossed with C57BL/6 to generate (C57BL/6xDO)F1 mice. Untreated (C57BL/6xDO)F1 mice (n=34) reliably develop B16F0 tumors after subcutaneous inoculation, with some variation in tumor latency. To test the role of genetics in response to ICI, (C57BL/6xDO)F1 mice (n=142) were treated with combined anti-PD1/anti-CTLA-4 on days 3, 6, and 10 after inoculation with 2×105 B16F0 cells. Mice receiving therapy show wide variation in tumor development of up to 65 days (mean 20.86 +/− 11.04, CV 52.94%), with 19 never developing tumor by day 88. Re-challenge of tumor free mice confirmed adaptive response to tumor. Preliminary Genome Wide Association shows suggestive associations on chromosomes 8, 12, and 13. The locus on chromosome 13 contains a family of related genes with known function in autoimmune conditions and expression in several immune cell types. QTL effects show the NZO genotype is a positive driver at this locus and C57BL/6 is a negative driver, reflecting known ICI resistance in the C57BL/6 strain. These results demonstrate host genetic background significantly contributes to response to ICI and identifies genomic loci associating with primary resistance. NIH R37 CA220482.