{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["Dong Y"],"pubmed_abstract":["<b>Background:</b> Immunotherapy with checkpoint inhibitors usually has a low response rate in some cutaneous melanoma (CM) cases due to its cold nature. Hence, identification of hot tumors is important to improve the immunotherapeutic efficacy and prognoses of CMs. <b>Methods:</b> Fatty acid (FA) metabolism-related genes were extracted from the Gene Set Enrichment Analysis and used in the non-negative matrix factorization (NMF), copy number variation frequency, tumor mutation burden (TMB), and immune-related analyses, such as immunophenoscore (IPS). We generate a risk model and a nomogram for predicting patient prognoses and predicted the potential drugs for therapies using the Connectivity Map. Moreover, the NMF and the risk model were validated in a cohort of cases in the GSE65904 and G"],"journal":["Frontiers in genetics"],"pagination":["860067"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9527329"],"repository":["biostudies-literature"],"pubmed_title":["Transcriptome profiles of fatty acid metabolism-related genes and immune infiltrates identify hot tumors for immunotherapy in cutaneous melanoma."],"pmcid":["PMC9527329"],"pubmed_authors":["Dong Y","Simayi M","Tang B","Lv D","Chen C","Zhao Z","Xu Z"],"additional_accession":[]},"is_claimable":false,"name":"Transcriptome profiles of fatty acid metabolism-related genes and immune infiltrates identify hot tumors for immunotherapy in cutaneous melanoma.","description":"<b>Background:</b> Immunotherapy with checkpoint inhibitors usually has a low response rate in some cutaneous melanoma (CM) cases due to its cold nature. Hence, identification of hot tumors is important to improve the immunotherapeutic efficacy and prognoses of CMs. <b>Methods:</b> Fatty acid (FA) metabolism-related genes were extracted from the Gene Set Enrichment Analysis and used in the non-negative matrix factorization (NMF), copy number variation frequency, tumor mutation burden (TMB), and immune-related analyses, such as immunophenoscore (IPS). We generate a risk model and a nomogram for predicting patient prognoses and predicted the potential drugs for therapies using the Connectivity Map. Moreover, the NMF and the risk model were validated in a cohort of cases in the GSE65904 and G","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-19T10:01:47.487Z","creation":"2025-04-19T10:01:47.487Z"},"accession":"S-EPMC9527329","cross_references":{"pubmed":["36199579"],"doi":["10.3389/fgene.2022.860067"]}}