{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16"],"submitter":["Wu RZ"],"pubmed_abstract":["<h4>Background</h4>Lung adenocarcinoma (LUAD) is one of the most common malignant tumors globally, characterized by poor prognosis and high mortality. Abnormal fatty acid metabolism plays a crucial role in LUAD progression. This study aims to develop a prognostic model based on fatty acid metabolism to improve the overall prognosis of LUAD.<h4>Materials and methods</h4>Bioinformatics analyses were performed using TCGA and GEO datasets, supplemented by cell experiments. A total of 309 fatty acid metabolism-related genes were identified from MsigDB. Differentially expressed genes were analyzed using the 'limma' R package. A prognostic model was constructed using LASSO regression and validated with survival analyses via the 'survminer', 'survival', and 'pROC' R packages. The analysis included"],"journal":["Frontiers in immunology"],"pagination":["1507845"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11965909"],"repository":["biostudies-literature"],"pubmed_title":["Fatty acid metabolism-derived prognostic model for lung adenocarcinoma: unraveling the link to survival and immune response."],"pmcid":["PMC11965909"],"pubmed_authors":["Sun QQ","Yu HN","Rui X","Wu RZ","Liu WY","Zhang H","Fu Y","Pan YL","Wu YH"],"additional_accession":[]},"is_claimable":false,"name":"Fatty acid metabolism-derived prognostic model for lung adenocarcinoma: unraveling the link to survival and immune response.","description":"<h4>Background</h4>Lung adenocarcinoma (LUAD) is one of the most common malignant tumors globally, characterized by poor prognosis and high mortality. Abnormal fatty acid metabolism plays a crucial role in LUAD progression. This study aims to develop a prognostic model based on fatty acid metabolism to improve the overall prognosis of LUAD.<h4>Materials and methods</h4>Bioinformatics analyses were performed using TCGA and GEO datasets, supplemented by cell experiments. A total of 309 fatty acid metabolism-related genes were identified from MsigDB. Differentially expressed genes were analyzed using the 'limma' R package. A prognostic model was constructed using LASSO regression and validated with survival analyses via the 'survminer', 'survival', and 'pROC' R packages. The analysis included","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-02T21:06:05.59Z","creation":"2025-06-26T03:06:13.586Z"},"accession":"S-EPMC11965909","cross_references":{"pubmed":["40181976"],"doi":["10.3389/fimmu.2025.1507845"]}}