Lipid metabolism gene-wide profile and survival signature of lung adenocarcinoma

Lipids in Health and Disease

Jiayuan Jiang¹  Tienan Feng¹  Zhenyu Su²  Feng Zhang²  Qi Sun²  Yong Zhao²  Jinyou Li³  Haitao Ma⁴  Qiang Li⁵ 

[1] Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China;Department of Thoracic Surgery, Affiliated Hospital of Jiangnan University, 214000, Wuxi, China;Department of Thoracic Surgery, Affiliated Hospital of Jiangnan University, 214000, Wuxi, China;Department of Thoracic Surgery, First Affiliated Hospital of Soochow University, 215006, Suzhou, China;Department of Thoracic Surgery, First Affiliated Hospital of Soochow University, 215006, Suzhou, China;Public Health School, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China;

关键词: Diagnosis;    Hub genes;    Lipid metabolism;    Lung adenocarcinoma;    Nomogram;    Prognosis;    Signature;   

DOI  :  10.1186/s12944-020-01390-9

来源: Springer

【 摘 要 】

BackgroundLung cancer has high morbidity and mortality across the globe, and lung adenocarcinoma (LUAD) is the most common histologic subtype. Disordered lipid metabolism is related to the development of cancer. Analysis of lipid-related transcriptome helps shed light on the diagnosis and prognostic biomarkers of LUAD.MethodsIn this study, expression analysis of 1045 lipid metabolism-related genes was performed between LUAD tumors and normal tissues derived from the Cancer Genome Atlas Lung Adenocarcinoma (TCGA-LUAD) cohort. The interaction network of differentially expressed genes (DEGs) was constructed to identify the hub genes. The association between hub genes and overall survival (OS) was evaluated and formed a model to predict the prognosis of LUAD using a nomogram. The model was validated by another cohort, GSE13213.ResultsA total of 217 lipid metabolism-related DEGs were detected in LUAD. Genes were significantly enriched in glycerophospholipid metabolism, fatty acid metabolic process, and eicosanoid signaling. Through network analysis and cytoHubba, 6 hub genes were identified, including INS, LPL, HPGDS, DGAT1, UGT1A6, and CYP2C9. High expression of CYP2C9, UGT1A6, and INS, and low expressions of DGAT1, HPGDS, and LPL, were associated with worse overall survival for 1925 LUAD patients. The model showed that the high-risk score group had a worse OS, and the validated cohort showed the same result.ConclusionsIn this study, a signature of 6 lipid metabolism genes was constructed, which was significantly associated with the diagnosis and prognosis of LUAD patients. Thus, the gene signature can be used as a biomarker for LUAD.

【 授权许可】

CC BY