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When effector cells attempt to suppress tumour, cancer cells can evolve methods of escape or inhibition. Knowledge of this coevolutionary system can help to understand tumour\u2013immune dynamics both during tumourigenesis and during immunotherapy treatments. Here, we present an individual-based model of mutation accumulation, where random mutations in cancer cells trigger specialised immune responses. Unlike previous research, we explicitly model interactions between cancer and effector cells and incorporate stochastic effects, which are important for the expansion and extinction of small populations. We find that the parameters governing interactions between the cancer and effector cells induce different outcomes of tumour progress, such as suppression and evasion. While it is hard to measure the cancer\u2013immune dynamics directly, genetic information of the cancer may indicate the presence of such interactions. Our model demonstrates signatures of selection in sequencing-derived summary statistics, such as the single-cell mutational burden distribution. Thus, bulk and single-cell sequencing may provide information about the coevolutionary dynamics.<\/jats:p>","DOI":"10.7554\/elife.103970","type":"journal-article","created":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T11:30:12Z","timestamp":1744803012000},"update-policy":"https:\/\/doi.org\/10.7554\/elife.103970","source":"Crossref","is-referenced-by-count":0,"title":["Cancer\u2013immune coevolution dictated by antigenic mutation accumulation"],"prefix":"10.7554","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6937-2481","authenticated-orcid":true,"given":"Long","family":"Wang","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0064kty71","id-type":"ROR","asserted-by":"publisher"}],"name":"Group of Theoretical Biology, Innovation Center for Evolutionary Synthetic Biology School of Life Sciences, Sun Yat-sen University","place":["Guangzhou, 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