肺腺癌脂质代谢和免疫相关基因预后特征综合分析Table 1

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• 源站标题：Table_1_Comprehensive analysis of a novel signature incorporating lipid metabolism and immune-related genes for assessing prognosis and immune landscape in lung adenocarcinoma.docx
• DOI：10.3389/fimmu.2022.950001.s009
• 发布日期：2022-08-25
• 文件数：1 个
• 文件总体积：18.75 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Comprehensive_analysis_of_a_novel_signature_incorporating_lipid_metabolism_and_immune-related_genes_for_assessing_prognosis_and_immune_landscape_in_lung_adenocarcinoma_docx/20620773

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数据说明

BackgroundAs the crosstalk between metabolism and antitumor immunity continues to be unraveled, we aim to develop a prognostic gene signature that integrates lipid metabolism and immune features for patients with lung adenocarcinoma (LUAD).
MethodsFirst, differentially expressed genes (DEGs) related to lipid metabolism in LUAD were detected, and subgroups of LUAD patients were identified via the unsupervised clustering method. Based on lipid metabolism and immune-related DEGs, variables were determined by the univariate Cox and LASSO regression, and a prognostic signature was established. The prognostic value of the signature was evaluated by the Kaplan–Meier method, time-dependent ROC, and univariate and multivariate analyses. Five independent GEO datasets were employed for external validation. Gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), and immune infiltration analysis were performed to investigate the underlying mechanisms. The sensitivity to common chemotherapeutic drugs was estimated based on the GDSC database. Finally, we selected PSMC1 involved in the signature, which has not been reported in LUAD, for further experimental validation.
ResultsLUAD patients with different lipid metabolism patterns exhibited significant differences in overall survival and immune infiltration levels. The prognostic signature incorporated 10 genes and stratified patients into high- and low-risk groups by median value splitting. The areas under the ROC curves were 0.69 (1-year), 0.72 (3-year), 0.74 (5-year), and 0.74 (10-year). The Kaplan–Meier survival analysis revealed a significantly poorer overall survival in the high-risk group in the TCGA cohort (p We developed and validated a novel signature incorporating both lipid metabolism and immune-related genes for all-stage LUAD patients. This signature can be applied not only for survival prediction but also for guiding personalized chemotherapy and immunotherapy regimens.

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CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2022.950001.s009（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Comprehensive_analysis_of_a_novel_signature_incorporating_lipid_metabolism_and_immune-related_genes_for_assessing_prognosis_and_immune_landscape_in_lung_adenocarcinoma_docx/20620773）。