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首页> 外文期刊>Analytical and bioanalytical chemistry >Comprehensive lipid profiling of plasma in patients with benign breast tumor and breast cancer reveals novel biomarkers
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Comprehensive lipid profiling of plasma in patients with benign breast tumor and breast cancer reveals novel biomarkers

机译:乳腺良性肿瘤和乳腺癌患者血浆的全面脂质分析揭示了新的生物标志物

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摘要

Abnormal lipid metabolism is a common feature in most solid tumors, and occurs in early stages of the tumor progression. As benign breast tumor is different from malignant tumor of breast cancer, it is particularly important to take benign breast tumor into consideration when investigating cancer biomarkers. In this study, by using a normal-phase/reversed-phase two-dimensional liquid chromatography-mass spectrometry (NP/RP 2D LC-MS) method, we conducted comprehensive lipid profiling in human plasma obtained from six benign breast tumor patients and five breast cancer patients, as well as nine healthy controls. As a result, 512 lipid species were successfully identified. Principal component analysis allowed clear separation of the three groups. Quantitative analysis revealed that many lipid contents were similar in benign and malignant breast tumors compared with controls, and these were proposed as potential breast tumor biomarkers other than breast cancer biomarkers. Two phosphatidylinositol (PI) species, including PI (16:0/16:1) and PI (18:0/20:4), could differentiate between benign and malignant breast tumors, as well as breast cancer patients and healthy controls, indicating that they could be utilized as potential breast cancer biomarkers. In addition, PI (16:0/18:1), phosphatidylglycerol (36:3), and glucosylceramide (d18:1/15:1) were demonstrated to be potential biomarkers to evaluate the level of malignancy of breast tumor. Taken together, our results indicate the usefulness of lipid profiling in the discrimination between patients with breast cancer and non-carcinoma lesions, which might provide assistance in clinical diagnosis.
机译:脂质代谢异常是大多数实体瘤的共同特征,并发生在肿瘤进展的早期。由于良性乳腺肿瘤不同于乳腺癌的恶性肿瘤,因此在研究癌症生物标志物时考虑良性乳腺肿瘤尤为重要。在这项研究中,我们使用正相/反相二维液相色谱-质谱(NP / RP 2D LC-MS)方法,对从6名良性乳腺肿瘤患者和5名良性乳腺癌患者获得的人血浆进行了全面的脂质分析乳腺癌患者以及九个健康对照。结果,成功鉴定出512种脂质。主成分分析可以将三组明确分离。定量分析显示,与对照相比,良性和恶性乳腺肿瘤中许多脂质含量相似,并且被提议作为潜在的乳腺生物标志物,而不是乳腺癌生物标志物。两种磷脂酰肌醇(PI)物种,包括PI(16:0/16:1)和PI(18:0/20:4),可以区分良性和恶性乳腺肿瘤,以及乳腺癌患者和健康对照,这表明它们可以用作潜在的乳腺癌生物标志物。此外,PI(16:0/18:1),磷脂酰甘油(36:3)和葡萄糖基神经酰胺(d18:1/15:1)被证明是评估乳腺肿瘤恶性程度的潜在生物标志物。两者合计,我们的结果表明脂质谱分析在区分乳腺癌和非癌性病变患者中的有用性,这可能为临床诊断提供帮助。

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