{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T20:30:59Z","timestamp":1785184259837,"version":"3.55.0"},"reference-count":48,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T00:00:00Z","timestamp":1666224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Skin cutaneous melanoma (SKCM) is the most frequently encountered tumor of the skin. Immunotherapy has opened a new horizon in melanoma treatment. We aimed to construct a CD8<jats:sup>+<\/jats:sup> T cell-associated immune gene prognostic model (CDIGPM) for SKCM and unravel the immunologic features and the benefits of immunotherapy in CDIGPM-defined SKCM groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Method<\/jats:title><jats:p>Single-cell SKCM transcriptomes were utilized in conjunction with immune genes for the screening of CD8<jats:sup>+<\/jats:sup> T cell-associated immune genes (CDIGs) for succeeding assessment. Thereafter, through protein-protein interaction (PPI) networks analysis, univariate COX analysis, and multivariate Cox analysis, six genes (<jats:italic>MX1<\/jats:italic>, <jats:italic>RSAD2<\/jats:italic>, <jats:italic>IRF2<\/jats:italic>, <jats:italic>GBP2<\/jats:italic>, <jats:italic>IFITM1<\/jats:italic>, and <jats:italic>OAS2<\/jats:italic>) were identified to construct a CDIGPM. We detected cell proliferation of SKCM cells transfected with <jats:italic>IRF2<\/jats:italic> siRNA. Then, we analyzed the immunologic features and the benefits of immunotherapy in CDIGPM-defined groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The overall survival (OS) was much better in low-CDIGPM group versus high CDIGPM group in TCGA dataset and GSE65904 dataset. On the whole, the results unfolded that a low CDIGPM showed relevance to immune response-correlated pathways, high expressions of <jats:italic>CTLA4<\/jats:italic> and <jats:italic>PD-L1<\/jats:italic>, a high infiltration rate of CD8<jats:sup>+<\/jats:sup> T cells, and more benefits from immunotherapy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>CDIGPM is an good model to predict the prognosis, the potential immune escape from immunotherapy for SKCM, and define immunologic and molecular features.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fimmu.2022.1039565","type":"journal-article","created":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T10:37:35Z","timestamp":1666262255000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["A CD8+ T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of 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