A novel fatty acid metabolism-related signature identifies features of the tumor microenvironment and predicts clinical outcome in acute myeloid leukemia

作者：Haibin Zhang, Zhuo-Kai Sun, Fangmin Zhong, Fangyi Yao, Jing Liu, Jing Zhang, Nan Zhang, Lin Jin, Shuqi Li, Mei‐Yong Li, Junyao Jiang, Ying Cheng, Shuai Xu, Xue‐Xin Cheng, Bo Huang, Xiaozhong Wang · 发表于：Lipids in Health and Disease · 年份：2022 · DOI：10.1186/s12944-022-01687-x · 被引用次数：13 · 研究领域：Cancer, Lipids, and Metabolism、Ferroptosis and cancer prognosis、Acute Myeloid Leukemia Research

BACKGROUND: Acute myeloid leukemia (AML) is the most common malignancy of the hematological system, and there are currently a number of studies regarding abnormal alterations in energy metabolism, but fewer reports related to fatty acid metabolism (FAM) in AML. We therefore analyze the association of FAM and AML tumor development to explore targets for clinical prognosis prediction and identify those with potential therapeutic value. METHODS: The identification of AML patients with different fatty acid metabolism characteristics was based on a consensus clustering algorithm. The CIBERSORT algorithm was used to calculate the proportion of infiltrating immune cells. We used Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis to construct a signature for predicting the prognosis of AML patients. The Genomics of Drug Sensitivity in Cancer database was used to predict the sensitivity of patient samples in high- and low-risk score groups to different chemotherapy drugs. RESULTS: The consensus clustering approach identified three molecular subtypes of FAM that exhibited significant differences in genomic features such as immunity, metabolism, and inflammation, as well as patient prognosis. The risk-score model we constructed accurately predicted patient outcomes, with area under the receiver operating characteristic curve values of 0.870, 0.878, and 0.950 at 1, 3, and 5 years, respectively. The validation cohort also confirmed the ...