通过血浆脂质组学分析确定晚期非小细胞肺癌患者诊断和放疗反应的生物标志物

IF 8.3 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

ACS Applied Materials & Interfaces Pub Date : 2024-01-27 DOI:10.1155/2024/6730504

Minghe Lv, Shali Shao, Yajing Du, X. Zhuang, Xiangdong Wang, T. Qiao

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引用次数: 0

摘要

背景。晚期肺癌给医疗机构带来了沉重的负担，是癌症相关死亡的主要原因，而且往往伴有代谢紊乱。本研究旨在通过血浆脂质组学分析，探索非小细胞肺癌（NSCLC）患者诊断和放疗反应的生物标志物。研究方法利用三重四极杆质谱分析仪，我们的研究分别对 25 名健康对照组和 31 名晚期 NSCLC 患者在三个不同放疗阶段的血浆脂质代谢组学特征进行了分析。结果显示结果显示，不同放疗阶段、不同亚型和不同放疗反应的 NSCLC 患者的脂质元素和浓度均发生了变化。我们发现，与健康对照组相比，髓鞘相关糖蛋白（MAG）、磷脂酰肌醇（PI）和磷脂酰丝氨酸（PS）是不同放疗阶段 NSCLC 患者主要且显著改变的脂质元素（> 2 倍，P<0.05）。通过比较放疗反应差和反应好的 NSCLC 患者的脂质元素，发现磷脂酰甘油（PG 18 : 0/14 : 0、18 : 1/18 : 3 和 18 : 0/20 : 1）明显下降或 PI（20 : 0/22 : 5 和 18 : 2/22 : 4）和磷脂酸（PA 14 : 0/20 : 4、14 : 0/20 : 3 和 18 : 2/22 : 4）明显升高，表明 NSCLC 患者的治疗反应差。ROC 曲线分析结果表明，PG（18 : 0/20 : 1 和 18 : 0/14 : 0）可明确预测 NSCLC 患者的放疗反应，而 PS（18 : 0/20 : 0）和胆固醇是诊断晚期 NSCLC 最有潜力的前两种脂质成分。结论我们的研究结果表明，血浆脂质组学分析可能对揭示健康人和不同放疗阶段晚期 NSCLC 患者脂质代谢的异质性，并进一步筛选出放疗反应特异性生物标志物具有重要价值。

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Plasma Lipidomics Profiling to Identify the Biomarkers of Diagnosis and Radiotherapy Response for Advanced Non-Small-Cell Lung Cancer Patients

Background. Advanced lung cancer that contributes to a heavy burden on medical institutions is the leading cause of cancer-related death and is often accompanied by metabolic disorders. In this study, we aimed to explore the biomarkers of diagnosis and radiotherapy response in non-small-cell lung cancer (NSCLC) patients by plasma lipidomics analysis. Method. Using triple-quadrupole mass spectrometer analysis, our research characterized the plasma lipid metabolomics profile of 25 healthy controls and 31 advanced NSCLC patients in each of three different radiotherapy phases. Results. The results showed altered lipid elements and concentrations among NSCLC patients with different radiotherapy phases, NSCLC subtypes, and different radiotherapeutic responses. We found that compared to the healthy controls, myelin-associated glycoprotein (MAG), phosphatidylinositol (PI), and phosphatidylserine (PS) were mainly and significantly altered lipid elements (> twofold, and p<0.05) among NSCLC patients with different radiotherapy phases. Through comparison of lipid elements between bad and good responses of NSCLC patients with radiotherapy, the obviously declined phosphatidylglycerol (PG 18 : 0/14 : 0, 18 : 1/18 : 3, and 18 : 0/20 : 1) or markedly elevated PI (20 : 0/22 : 5 and 18 : 2/22 : 4) and phosphatidic acid (PA 14 : 0/20 : 4, 14 : 0/20 : 3, and 18 : 2/22 : 4) could indicate poor therapeutic response for NSCLC patients. The results of ROC curve analysis suggested that PG (18 : 0/20 : 1 and 18 : 0/14 : 0) could clearly predict the radiotherapeutic response for NSCLC patients, and PS (18 : 0/20 : 0) and cholesterol were the first two lipid components with the most potential for the diagnosis of advanced NSCLC. Conclusion. Our results indicated that plasma lipidomics profiling might have a vital value to uncover the heterogeneity of lipid metabolism in healthy people and advanced NSCLC patients with different radiotherapy phase, and further to screen out radiotherapeutic response-specific biomarkers.

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来源期刊

ACS Applied Materials & Interfaces 工程技术-材料科学：综合

CiteScore

16.00

自引率

6.30%

发文量

4978

审稿时长

1.8 months

期刊介绍： ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.