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包括鞘磷脂和磷脂酰胆碱的血浆水平在内的模型作为子宫内膜癌的诊断和预后生物标志物。

Models including plasma levels of sphingomyelins and phosphatidylcholines as diagnostic and prognostic biomarkers of endometrial cancer.

机构信息

Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia.

University Medical Centre, Department of Obstetrics and Gynaecology, 1000 Ljubljana, Slovenia.

出版信息

J Steroid Biochem Mol Biol. 2018 Apr;178:312-321. doi: 10.1016/j.jsbmb.2018.01.012. Epub 2018 Jan 31.

Abstract

In endometrial cancer, biomarkers for preoperative identification of patients with low risk for disease progression would enable stratification according to the extent of surgery needed, and would avoid the complications that can be associated with radical surgery. A panel of proteins, amino acids, enzymes, and miRNA has been investigated as potential biomarkers for endometrial cancer. At the time of the manuscript submission targeted metabolomics/lipidomics approaches have not been applied to biomarker research in endometrial cancer. Using electrospray ionization-tandem mass spectrometry we quantified 163 metabolites in 126 plasma samples (61 patients with endometrial cancer, 65 control patients). Three single phosphatidylcholines were identified with significantly decreased levels in patients with endometrial cancer. A diagnostic model was defined as the ratio between acylcarnitine C16 and phosphatidylcholine PCae C40:1, the ratio between proline and tyrosine, and the ratio between the two phosphatidylcholines PCaa C42:0 and PCae C44:5; which provided sensitivity of 85.25%, specificity of 69.23%, and AUC of 0.837. Addition of smoking status further improved the constructed diagnostic model (AUC = 0.855). The presence of the major prognostic factors of deep myometrial invasion and lymphovascular invasion were also associated with altered metabolite concentrations. A prognostic model for deep myometrial invasion included the ratio between two hydroxysphingomyelins SMOH C14:1 and SMOH C24:1, and the ratio between two phosphatidylcholines PCaa C40:2 and PCaa C42:6, which provided sensitivity of 81.25%, specificity of 86.36%, and AUC of 0.857. The model for lymphovascular invasion included the ratio between two phosphatidylcholines PCaa C34:4 and PCae C38:3, and the ratio between acylcarnitine C16:2 and phosphatidylcholine PCaa C38:1, which provided sensitivity of 88.89%, specificity of 84.31%, and AUC of 0.935.

摘要

在子宫内膜癌中,用于术前识别疾病进展风险低的患者的生物标志物将能够根据所需手术的程度进行分层,并避免与根治性手术相关的并发症。已经研究了一组蛋白质、氨基酸、酶和 miRNA,作为子宫内膜癌的潜在生物标志物。在提交本文时,靶向代谢组学/脂质组学方法尚未应用于子宫内膜癌的生物标志物研究。使用电喷雾电离串联质谱法,我们在 126 个血浆样本(61 名子宫内膜癌患者,65 名对照患者)中定量了 163 种代谢物。三种单一的磷脂酰胆碱被鉴定为在子宫内膜癌患者中水平显著降低。定义了一个诊断模型,即酰基肉碱 C16 与磷脂酰胆碱 PCae C40:1 的比值、脯氨酸与酪氨酸的比值以及两种磷脂酰胆碱 PCaa C42:0 与 PCae C44:5 的比值;该模型提供了 85.25%的敏感性、69.23%的特异性和 0.837 的 AUC。添加吸烟状态进一步改善了构建的诊断模型(AUC=0.855)。深肌层浸润和脉管侵犯等主要预后因素的存在也与代谢物浓度的改变有关。深肌层浸润的预后模型包括两种羟基神经酰胺 SMOH C14:1 和 SMOH C24:1 的比值,以及两种磷脂酰胆碱 PCaa C40:2 和 PCaa C42:6 的比值,该模型提供了 81.25%的敏感性、86.36%的特异性和 0.857 的 AUC。脉管侵犯的模型包括两种磷脂酰胆碱 PCaa C34:4 和 PCae C38:3 的比值,以及酰基肉碱 C16:2 与磷脂酰胆碱 PCaa C38:1 的比值,该模型提供了 88.89%的敏感性、84.31%的特异性和 0.935 的 AUC。

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