{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T07:25:02Z","timestamp":1773300302222,"version":"3.50.1"},"reference-count":66,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T00:00:00Z","timestamp":1691971200000},"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>Interferon-gamma (IFN-\u03b3), commonly referred to as type II interferon, is a crucial cytokine that coordinates the tumor immune process and has received considerable attention in tumor immunotherapy research. Previous studies have discussed the role and mechanisms associated with IFN-\u03b3 in specific tumors or diseases, but the relevant role of IFN-\u03b3 in pan-cancer remains uncertain.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>TCGA and GTEx RNA expression data and clinical data were downloaded. Additionally, we analyzed the role of IFN-\u03b3 on tumors by using a bioinformatic approach, which included the analysis of the correlation between IFN-\u03b3 in different tumors and expression, prognosis, functional status, TMB, MSI, immune cell infiltration, and TIDE. We also developed a PPI network for topological analysis of the network, identifying hub genes as those having a degree greater than IFN-\u03b3 levels.<\/jats:p><\/jats:sec><jats:sec><jats:title>Result<\/jats:title><jats:p>IFN-\u03b3 was differentially expressed and predicted different survival statuses in a majority of tumor types in TCGA. Additionally, IFN-\u03b3 expression was strongly linked to factors like infiltration of T cells, immune checkpoints, immune-activating genes, immunosuppressive genes, chemokines, and chemokine receptors, as well as tumor purity, functional statuses, and prognostic value. Also, prognosis, CNV, and treatment response were all substantially correlated with IFN-\u03b3-related gene expression. Particularly, the IFN-\u03b3-related gene STAT1 exhibited the greatest percentage of SNVs and the largest percentage of SNPs in UCEC. Elevated expression levels of IFN-\u03b3-related genes were found in a wide variety of tumor types, and this was shown to be positively linked to drug sensitivity for 20 different types of drugs.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>IFN-\u03b3 is a good indicator of response to tumor immunotherapy and is likely to limit tumor progression, offering a novel approach for immunotherapy\u2019s future development.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fimmu.2023.1202150","type":"journal-article","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T04:13:51Z","timestamp":1692072831000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Pan-cancer analysis of IFN-\u03b3 with possible immunotherapeutic significance: a verification of single-cell sequencing and bulk omics 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