■肺腺癌是一种常见的恶性肿瘤,其早期诊断和治疗是提高患者生存率的关键。然而,由于非特异性的早期症状,许多患者在诊断时已经处于晚期。非靶向代谢组学分析,作为一种全面分析体内代谢物的方法,已被证明在癌症的早期诊断中具有潜力。本研究旨在在已建立的小鼠模型中使用非靶向代谢组学分析来鉴定早期肺腺癌特异性生物标志物。探讨吲哚胺2,3-双加氧酶(IDO)抑制剂对早期肺腺癌的干预机制,为临床疾病治疗提供依据。
■将20只无特定病原体级雌性昆明小鼠分为对照组,实验组,Epacadostatlow组,和Epacadostathigh组。建模后,对小鼠进行免疫疗法干预(epacadostat),在第7天和第28天从所有小鼠收集血浆和尿液样品。进行超高效液相色谱-四极杆飞行时间质谱(UPLC-QTOF-MS)分析以鉴定诊断早期肺腺癌的潜在生物标志物。采用聚类分析和相关性分析探讨不同样品中代谢物的差异表达模式。使用京都基因和基因组百科全书(KEGG)分析来鉴定差异表达的代谢物的富集途径。
■合并正离子和负离子模式后,总共鉴定出348种代谢物。其中,有机酸及其衍生物(16.954%)和脂质和类脂分子(15.517%)是早期肺腺癌小鼠的两种主要代谢产物。邻氨基苯甲酸(维生素L1),1-甲基组氨酸,12(R)-HETE,在第7天和第28天,马尿酸是主要的差异表达代谢物,并且它们之间显示出相关性。代谢途径分析揭示了肺腺癌小鼠中多个失调的途径。
■UPLC-QTOF-MS分析是鉴定肺腺癌生物标志物的可行方法。Epacadostat,一种新颖且有前途的IDO抑制剂,可以通过调节1-甲基组氨酸和邻氨基苯甲酸(维生素L1)发挥其治疗作用。
UNASSIGNED: Lung adenocarcinoma is a common malignant tumor, and its early diagnosis and treatment are key to improving patient survival rates. However, due to the non-specific early symptoms, many patients are already at an advanced stage when diagnosed. Non-targeted metabolomics analysis, as a method for comprehensive analysis of metabolites in the body, has been shown to have potential in the early diagnosis of cancer. This study aims to identify early-stage lung adenocarcinoma-specific biomarkers using non-targeted metabolomics analysis in an established mouse model. The intervention mechanism of indoleamine 2,3-dioxygenase (IDO) inhibitor in early-stage lung adenocarcinoma is explored to provide evidence for clinical disease treatment.
UNASSIGNED: Twenty specific-pathogen-free-grade female Kunming mice were divided into control group, experimental group, Epacadostatlow group, and Epacadostathigh group. After modeling, immune therapy intervention (epacadostat) was administered to the mice, and plasma and urine samples were collected from all mice on day 7 and day 28. Ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) analysis was performed to identify potential biomarkers for diagnosing early-stage lung adenocarcinoma. Cluster analysis and correlation analysis were used to explore the differential expression patterns of metabolites in different samples. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was used to identify enriched pathways of differentially expressed metabolites.
UNASSIGNED: A total of 348 metabolites were identified after merging the positive and negative ion modes. Among them, organic acids and derivatives (16.954%) and lipids and lipid-like molecules (15.517%) were the two major classes of metabolites in the early-stage lung adenocarcinoma mice. Anthranilic acid (vitamin L1), 1-methylhistidine, 12(R)-HETE, and hippuric acid were the major differentially expressed metabolites on both day 7 and day 28, and they showed correlations with each other. Metabolic pathway analysis revealed multiple dysregulated pathways in lung adenocarcinoma mice.
UNASSIGNED: UPLC-QTOF-MS analysis is a feasible method for identifying biomarkers of lung adenocarcinoma. Epacadostat, a novel and promising IDO inhibitor, may exert its therapeutic effect by modulating 1-methylhistidine and anthranilic acid (vitamin L1).