Widely targeted quantitative lipidomics and prognostic model reveal plasma lipid predictors for nasopharyngeal carcinoma

脂类学 鼻咽癌 内科学 比例危险模型 肿瘤科 临床化学 脂多糖学 危险系数 医学 生物标志物 单变量分析 一致性 置信区间 接收机工作特性 生物信息学 生物 多元分析 放射治疗 生物化学
作者
Xi Chen,Yingxue Li,Xun Cao,Meng‐Yun Qiang,Chixiong Liang,Liangru Ke,Zhuo‐Chen Cai,Yingying Huang,Ze‐Jiang Zhan,Jiayu Zhou,Ying Deng,Lulu Zhang,Hao-yang Huang,Xiang Li,Jing Mei,Guo-tong Xie,Xiang Guo,Xing Lv
出处
期刊:Lipids in Health and Disease [BioMed Central]
卷期号:22 (1) 被引量:5
标识
DOI:10.1186/s12944-023-01830-2
摘要

Dysregulation of lipid metabolism is closely associated with cancer progression. The study aimed to establish a prognostic model to predict distant metastasis-free survival (DMFS) in patients with nasopharyngeal carcinoma (NPC), based on lipidomics.The plasma lipid profiles of 179 patients with locoregionally advanced NPC (LANPC) were measured and quantified using widely targeted quantitative lipidomics. Then, patients were randomly split into the training (125 patients, 69.8%) and validation (54 patients, 30.2%) sets. To identify distant metastasis-associated lipids, univariate Cox regression was applied to the training set (P < 0.05). A deep survival method called DeepSurv was employed to develop a proposed model based on significant lipid species (P < 0.01) and clinical biomarkers to predict DMFS. Concordance index and receiver operating curve analyses were performed to assess model effectiveness. The study also explored the potential role of lipid alterations in the prognosis of NPC.Forty lipids were recognized as distant metastasis-associated (P < 0.05) by univariate Cox regression. The concordance indices of the proposed model were 0.764 (95% confidence interval (CI), 0.682-0.846) and 0.760 (95% CI, 0.649-0.871) in the training and validation sets, respectively. High-risk patients had poorer 5-year DMFS compared with low-risk patients (Hazard ratio, 26.18; 95% CI, 3.52-194.80; P < 0.0001). Moreover, the six lipids were significantly correlated with immunity- and inflammation-associated biomarkers and were mainly enriched in metabolic pathways.Widely targeted quantitative lipidomics reveals plasma lipid predictors for LANPC, the prognostic model based on that demonstrated superior performance in predicting metastasis in LANPC patients.
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