Endometrial cancer has a high prevalence among post-menopausal women in developed countries. We aimed to explore whether certain metabolic patterns could be related to the characteristics of aggressive disease and poorer survival among endometrial cancer patients in Western Norway. Patients with endometrial cancer with short survival (n = 20) were matched according to FIGO (International Federation of Gynecology and Obstetrics, 2009 criteria) stage, histology, and grade, with patients with long survival (n = 20). Plasma metabolites were measured on a multiplex system including 183 metabolites, which were subsequently determined using liquid chromatography-mass spectrometry. Partial least square discriminant analysis, together with hierarchical clustering, was used to identify patterns which distinguished short from long survival. A proposed signature of metabolites related to survival was suggested, and a multivariate receiver operating characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.820-0.965 (p ≤ 0.001). Methionine sulfoxide seems to be particularly strongly associated with poor survival rates in these patients. In a subgroup with preoperative contrast-enhanced computed tomography data, selected metabolites correlated with the estimated abdominal fat distribution parameters. Metabolic signatures may predict prognosis and be promising supplements when evaluating phenotypes and exploring metabolic pathways related to the progression of endometrial cancer. In the future, this may serve as a useful tool in cancer management.

中文翻译：

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血液代谢产物与子宫内膜癌的预后相关。

在发达国家，绝经后妇女中子宫内膜癌的患病率很高。我们旨在探讨某些代谢模式是否可能与挪威西部子宫内膜癌患者的侵袭性疾病特征和较差的生存率有关。生存期短（n = 20）的子宫内膜癌患者根据FIGO（国际妇产科联合会，2009年标准）的阶段，组织学和分级与生存期长（n = 20）的患者匹配。在包括183种代谢物的多重系统上测量血浆代谢物，随后使用液相色谱-质谱法对其进行测定。偏最小二乘判别分析与分层聚类一起用于识别可区分短期生存期和长期生存期的模式。提出了与生存有关的代谢物的拟议标志，并且通过多变量接收器操作特征（ROC）分析得出曲线下面积（AUC）为0.820-0.965（p≤0.001）。甲硫氨酸亚砜似乎与这些患者的不良存活率特别相关。在具有术前对比增强计算机断层扫描数据的亚组中，所选代谢物与估计的腹部脂肪分布参数相关。当评估表型并探索与子宫内膜癌进展相关的代谢途径时，代谢信号可能会预测预后并成为有前途的补充。将来，这可能会成为癌症管理中的有用工具。多变量接收器工作特性（ROC）分析得出的曲线下面积（AUC）为0.820-0.965（p≤0.001）。甲硫氨酸亚砜似乎与这些患者的不良生存率特别相关。在具有术前对比增强计算机断层扫描数据的亚组中，所选代谢物与估计的腹部脂肪分布参数相关。当评估表型并探索与子宫内膜癌进展相关的代谢途径时，代谢信号可能会预测预后并成为有前途的补充。将来，这可能会成为癌症管理中的有用工具。多变量接收器工作特性（ROC）分析得出的曲线下面积（AUC）为0.820-0.965（p≤0.001）。甲硫氨酸亚砜似乎与这些患者的不良存活率特别相关。在具有术前对比增强计算机断层扫描数据的亚组中，所选代谢物与估计的腹部脂肪分布参数相关。当评估表型并探索与子宫内膜癌进展相关的代谢途径时，代谢信号可能会预测预后并成为有前途的补充。将来，这可能会成为癌症管理中的有用工具。在具有术前对比增强计算机断层扫描数据的亚组中，所选代谢物与估计的腹部脂肪分布参数相关。当评估表型并探索与子宫内膜癌进展相关的代谢途径时，代谢信号可能会预测预后并成为有前途的补充。将来，这可能会成为癌症管理中的有用工具。在具有术前对比增强计算机断层扫描数据的亚组中，所选代谢物与估计的腹部脂肪分布参数相关。当评估表型并探索与子宫内膜癌进展相关的代谢途径时，代谢信号可能会预测预后并成为有前途的补充。将来，这可能会成为癌症管理中的有用工具。