<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16</volume><submitter>Wu RZ</submitter><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Materials and methods&lt;/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</pubmed_abstract><journal>Frontiers in immunology</journal><pagination>1507845</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11965909</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Fatty acid metabolism-derived prognostic model for lung adenocarcinoma: unraveling the link to survival and immune response.</pubmed_title><pmcid>PMC11965909</pmcid><pubmed_authors>Sun QQ</pubmed_authors><pubmed_authors>Yu HN</pubmed_authors><pubmed_authors>Rui X</pubmed_authors><pubmed_authors>Wu RZ</pubmed_authors><pubmed_authors>Liu WY</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Fu Y</pubmed_authors><pubmed_authors>Pan YL</pubmed_authors><pubmed_authors>Wu YH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Fatty acid metabolism-derived prognostic model for lung adenocarcinoma: unraveling the link to survival and immune response.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Materials and methods&lt;/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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-06-02T21:06:05.59Z</modification><creation>2025-06-26T03:06:13.586Z</creation></dates><accession>S-EPMC11965909</accession><cross_references><pubmed>40181976</pubmed><doi>10.3389/fimmu.2025.1507845</doi></cross_references></HashMap>