Metabolome Profiling of Malignant Ascites Identifies CandidateMetabolic Biomarkers of Hepatocellular Carcinoma

腹水 肝细胞癌 医学 生物标志物发现 代谢组学 代谢组 仿形(计算机编程) 内科学 癌 癌症研究 计算生物学 生物 蛋白质组学 生物信息学 计算机科学 生物化学 基因 操作系统
作者
Weijia Wang,Yue Wu,Qinsheng Zhang,Qinsheng Zhang,Peilin Cui
出处
期刊:Current Medicinal Chemistry [Bentham Science Publishers]
卷期号:31 (13): 1769-1780 被引量:1
标识
DOI:10.2174/0929867330666230324153552
摘要

BACKGROUND: Malignant ascites is one of the severe complications of hepatocellular carcinoma, which can be regarded as a unique tumor microenvironment of hepatocellular carcinoma. The identification of novel biomarkers in malignant ascites could be crucial to differentiate patients with hepatocellular carcinoma and cirrhotic ascites. OBJECTIVE: The study aimed to distinguish the metabolomics of malignant ascites in patients with hepatocellular carcinoma from that of non-malignant ascites (cirrhotic ascites). METHODS: Liquid chromatography-mass spectrometry was performed to analyze the differentially distributed biomarkers in patients with malignant ascites and hepatocellular carcinoma (n = 39), as well as in patients with cirrhotic ascites, which were taken as controls (n = 36). RESULTS: A total of 20 differential metabolites associated with malignant ascites were identified, of which 8 metabolites were upregulated and 12 metabolites were downregulated (ratio < 0.5 or > 1.5, respectively). Moreover, pathway and enrichment analyses revealed nitrogen metabolism, urea cycle, phenylalanine, and tyrosine metabolism to be implicated in the formation of malignant ascites in patients with hepatocellular carcinoma. CONCLUSION: Our results suggest that the key factors associated with pathways, such as arachidonic acid, phenylalanine, and glutamic acid pathways, are potential ascitic fluidbased biomarkers for differentiating hepatocellular carcinoma with cirrhosis ascites; the results also provide a clinical pathophysiological interpretation of biomarkers and metabolic pathways relevant to disease status.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
tx的应助被Renhc采纳,获得10
1秒前
1秒前
2秒前
科研通AI2S的应助被科研通管家采纳,获得10
2秒前
NexusExplorer的应助被科研通管家采纳,获得10
2秒前
3秒前
李健的应助被科研通管家采纳,获得30
3秒前
aajhajkahna的应助被科研通管家采纳,获得10
3秒前
科目三的应助被科研通管家采纳,获得10
3秒前
朱加德完成签到,获得积分10
3秒前
3秒前
FashionBoy的应助被科研通管家采纳,获得10
3秒前
3秒前
刘亚玲发布了新的文献求助10
3秒前
充电宝的应助被科研通管家采纳,获得10
3秒前
隐形曼青的应助被Celine采纳,获得10
4秒前
忧心的以冬完成签到,获得积分10
4秒前
4秒前
小二郎的应助被优秀的冬衣采纳,获得10
6秒前
7秒前
里昂义务发布了新的文献求助10
7秒前
7秒前
科研小菜鸟完成签到,获得积分10
7秒前
科研通AI6.4的应助被初景采纳,获得10
7秒前
科研通AI6.4的应助被Albercosta采纳,获得10
7秒前
朱加德发布了新的文献求助10
8秒前
张先生发布了新的文献求助10
9秒前
11秒前
万能图书馆的应助被龙龙采纳,获得10
11秒前
12秒前
康谨发布了新的文献求助10
12秒前
鲤鱼香旋发布了新的文献求助10
13秒前
13秒前
15秒前
秦桂敏完成签到 ,获得积分10
16秒前
小y发布了新的文献求助10
16秒前
犹豫的豹完成签到,获得积分20
16秒前
Zhou发布了新的文献求助10
17秒前
无花果的应助被abc105采纳,获得30
17秒前
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Geschichtliche Grundbegriffe (GGB), Band 5: Pro–Soz 300
Die Religion in Geschichte und Gegenwart (RGG), 4. Auflage, Band 7: R–S 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7791027
求助须知:如何正确求助?哪些是违规求助? 9328499
关于积分的说明 20422998
捐赠科研通 7380553
什么是DOI,文献DOI怎么找? 3323299
关于科研通互助平台的介绍 2471064
邀请新用户注册赠送积分活动 2340157