盆腔液中异常表达的脂质代谢物是卵巢癌的潜在生物标记物:病例对照研究

IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Rongrong Tang , Yunshan Zhu , Lingfeng Chen , Jinfei Tong , Xudong Ma , Fangying Sun , Limei Zheng , Hailan Yu , Jianhua Yang
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引用次数: 0

摘要

背景:卵巢癌发病隐匿,通常在晚期才被发现。卵巢是盆腔器官,其盆腔液代谢物的变化可能与卵巢癌有关:方法:采用液相色谱-串联质谱法(LC-MS/MS)检测卵巢癌、卵巢囊肿和子宫肌瘤患者盆腔液中代谢组的变化。曲线下面积(AUC)分析用于评估脂质代谢物和血液肿瘤指数的诊断性能。采用皮尔逊相关算法分析卵巢癌患者临床特征与脂质代谢物之间的相关性:结果:卵巢癌患者盆腔液中有 24 种脂质代谢物发生了明显变化(P 0.8,其中棕榈酰肉碱高达 0.942)。此外,我们还发现一些脂质代谢物与临床分期、腹腔积水、淋巴转移和复发有明显相关性(P 0.5):结论:特定脂质代谢物的水平是卵巢癌的潜在生物标志物,可能在卵巢癌的早期诊断和预后评估中发挥关键作用:我们的研究结果表明,盆腔代谢物,尤其是部分脂质代谢物在卵巢癌的诊断中发挥着重要作用。同时,部分脂质代谢物与卵巢癌患者的临床表现和预后密切相关。我们认为,我们的研究为卵巢癌的检测提供了一种更有效的潜在方法,因而是对文献的重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Lipid metabolites abnormally expressed in pelvic fluid as potential biomarkers for ovarian cancer: A case-control study

Lipid metabolites abnormally expressed in pelvic fluid as potential biomarkers for ovarian cancer: A case-control study

Background

Ovarian cancer is insidious and usually detected in advanced stages of the disease. As the ovaries are pelvic organs, changes in their pelvic fluid metabolites may be associated with ovarian cancer.

Methods

Metabolomic changes in the pelvic fluid were detected using liquid chromatography-tandem mass spectrometry (LC-MS/MS) in patients with ovarian cancer, ovarian cysts and uterine fibroids. Area under the curve (AUC) analysis was used to assess the diagnostic performance of lipid metabolites and blood tumor indices. The Pearson correlation algorithm was used to analyze the correlation between clinical characteristics and lipid metabolites in ovarian cancer patients.

Results

There were 24 lipid metabolites significantly changed in the pelvic fluid of ovarian cancer patients (p < 0.05). Palmitoylcarnitine, lipoamide, lipid metabolites, and blood tumor indices (CA15–3 and CA125) showed AUC > 0.8, with palmitoylcarnitine reaching a high of 0.942. In addition, we found that some lipid metabolites were significantly associated with the clinical stage, abdominal water volume, lymphatic metastasis, and recurrence (p < 0.05, r > 0.5).

Conclusion

Levels of specific lipid metabolites are potential biomarkers of ovarian cancer and may play a key role in the early diagnosis and prognostic assessment of ovarian cancer.

Significance

Our results showed that pelvic metabolites, especially some lipid metabolites, play an important role in the diagnosis of ovarian cancer. Meanwhile, partial lipid metabolites were closely associated with the clinical presentation and prognosis of patients with ovarian cancer. We believe that our study makes a significant contribution to the literature because it provides a potential approach that is more effective for ovarian cancer detection.

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来源期刊
Journal of proteomics
Journal of proteomics 生物-生化研究方法
CiteScore
7.10
自引率
3.00%
发文量
227
审稿时长
73 days
期刊介绍: Journal of Proteomics is aimed at protein scientists and analytical chemists in the field of proteomics, biomarker discovery, protein analytics, plant proteomics, microbial and animal proteomics, human studies, tissue imaging by mass spectrometry, non-conventional and non-model organism proteomics, and protein bioinformatics. The journal welcomes papers in new and upcoming areas such as metabolomics, genomics, systems biology, toxicogenomics, pharmacoproteomics. Journal of Proteomics unifies both fundamental scientists and clinicians, and includes translational research. Suggestions for reviews, webinars and thematic issues are welcome.
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