脂类学
队列
生物标志物
阶段(地层学)
腺癌
肿瘤科
脂质代谢
肺
转录组
肺癌
医学
生物
内科学
生物信息学
癌症
基因
基因表达
古生物学
生物化学
作者
Ting Sun,Junge Chen,Fan Yang,Gang Zhang,Jiahao Chen,Xun Wang,Jing Zhang
标识
DOI:10.1038/s44321-024-00052-y
摘要
Abstract Lung adenocarcinoma (LUAD) continues to pose a significant mortality risk with a lack of dependable biomarkers for early noninvasive cancer detection. Here, we find that aberrant lipid metabolism is significantly enriched in lung cancer cells. Further, we identified four signature lipids highly associated with LUAD and developed a lipid signature-based scoring model (LSRscore). Evaluation of LSRscore in a discovery cohort reveals a robust predictive capability for LUAD (AUC: 0.972), a result further validated in an independent cohort (AUC: 0.92). We highlight one lipid signature biomarker, PE(18:0/18:1), consistently exhibiting altered levels both in cancer tissue and in plasma of LUAD patients, demonstrating significant predictive power for early-stage LUAD. Transcriptome analysis reveals an association between increased PE(18:0/18:1) levels and dysregulated glycerophospholipid metabolism, which consistently displays strong prognostic value across two LUAD cohorts. The combined utility of LSRscore and PE(18:0/18:1) holds promise for early-stage diagnosis and prognosis of LUAD.
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