• Wei Ye and Xingxing Li.
• Department of Medical Respiratory, Wenzhou Municipal Hospital of Traditional Chinese Medicine, Wenzhou, Zhejiang Province, China.
• Medicine (Baltimore). 2023 Jan 6; 102 (1): e32542e32542.

BackgroudLung adenocarcinoma (LUAD) is 1 of the common malignancy with a poor prognosis.Materials And MethodsBased on bioinformatics, the fatty acid metabolism model of LUAD was developed. We downloaded LUAD transcriptome data from the cancer genome atlas and gene expression omnibus databases. We used bioinformatics methods to construct a fatty acid metabolism-related predictive risk model to predict the prognosis of LUAD. We further explored the relationship between prognostic models and survival and immunity.ResultsWe identified 17 prognosis-related fatty acid-associated genes and constructed prognostic models. In the the cancer genome atlas cohort, the prognosis was worse in the high-risk score group compared to the low-risk score group. The ROC curve confirmed its accuracy. Subsequently, we used the gene expression omnibus database to confirm the above findings. There were differences in immune infiltrating cell abundance and immune function between the high-risk score group and low-risk score group. The immune dysfunction and exclusion (TIDE) based algorithm showed that the low-risk score group was more suitable for the immune treatment.ConclusionFatty acid metabolic patterns can deepen the understanding of the immune microenvironment of LUAD and be used to guide the formulation of immunotherapy protocols.Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

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