Although clonal neo-antigen burden is associated with improved response to immune therapy, the functional basis for this remains unclear.,Here we study this question in a novel controlled mouse melanoma model that enables us to explore the effects of intra-tumor heterogeneity (ITH) on tumor aggressiveness and immunity independent of tumor mutational burden.,Induction of UVB-derived mutations yields highly aggressive tumors with decreased anti-tumor activity.,However, single-cell-derived tumors with reduced ITH are swiftly rejected.,Their rejection is accompanied by increased T cell reactivity and a less suppressive microenvironment.,Using phylogenetic analyses and mixing experiments of single-cell clones, we dissect two characteristics of ITH: the number of clones forming the tumor and their clonal diversity.,Our analysis of melanoma patient tumor data recapitulates our results in terms of overall survival and response to immune checkpoint therapy.,These findings highlight the importance of clonal mutations in robust immune surveillance and the need to quantify patient ITH to determine the response to checkpoint blockade.,•Novel mouse system to uncouple tumor mutational load and tumor heterogeneity•Lower tumor heterogeneity leads to decreased tumor growth because of immune rejection•Both clone numbers and their genetic diversity mediate tumor growth and rejection•Tumor heterogeneity is linked to patient survival and checkpoint blockade response,Novel mouse system to uncouple tumor mutational load and tumor heterogeneity,Lower tumor heterogeneity leads to decreased tumor growth because of immune rejection,Both clone numbers and their genetic diversity mediate tumor growth and rejection,Tumor heterogeneity is linked to patient survival and checkpoint blockade response,Syngeneic mouse models of melanoma and human patient data are used to explore the effect of intra-tumor heterogeneity on immune response and demonstrate that heterogeneity predicts immunotherapy outcomes better than mutational burden.
Cancer is thought to arise through the accumulation of genomic aberrations evolving under Darwinian selection.,However, it remains unclear when the aberrations associated with metastasis emerge during tumor evolution.,Uveal melanoma (UM) is the most common primary eye cancer and frequently leads to metastatic death, which is strongly linked to BAP1 mutations.,Accordingly, UM is ideally suited for studying the clonal evolution of metastatic competence.,Here we analyze sequencing data from 151 primary UM samples using a customized bioinformatic pipeline, to improve detection of BAP1 mutations and infer the clonal relationships among genomic aberrations.,Strikingly, we find BAP1 mutations and other canonical genomic aberrations usually arise in an early punctuated burst, followed by neutral evolution extending to the time of clinical detection.,This implies that the metastatic proclivity of UM is “set in stone” early in tumor evolution and may explain why advances in primary treatment have not improved survival.,Uveal melanoma (UM), the most common primary eye cancer, is strongly linked to mutations in the tumor suppressor BAP1.,Here, the authors analyze 151 primary UM samples to find that BAP1 and other canonical genomic aberrations arise in an early punctuated burst followed by neutral tumor evolution.