Department of Laboratory Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Department of Laboratory Diagnosis, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Neoplasma. 2021 Nov;68(6):1283-1291. doi: 10.4149/neo_2021_210306N288. Epub 2021 Oct 21.
Endometrial cancer (EC) is a malignant tumor of the female reproductive tract. Due to its rapid growth and invasiveness, EC is currently the only gynecological neoplasm with rising incidence and mortality rates. It is of great significance to explore the metabolomics signature of stage I and II EC for the diagnosis and treatment. A mass spectrometry-based untargeted metabolomics approach was used to explore preoperative serum metabolites in the normal and stage I and II EC patients. The metabolites were mapped to the Ingenuity pathway analysis (IPA) database to determine the potential biomarkers and metabolic pathways that differ between EC patients and healthy controls. The top analysis-ready molecules of upregulated D-glucose thiamine and downregulated cholesterol, arachidonic acid, palmitic acid, oleic acid, stearic acid, linoleic acid may be the most related metabolites. These potential biomarkers have essential functions in regulating vital metabolic pathways associated with stage I and II EC. Additionally, our pathway analysis revealed five significantly related pathways according to the metabolite differentials. Finally, the disease and function prediction of the initial pathway analysis suggested that small molecule biochemistry, lipid metabolism, and organismal injury and abnormalities were associated with EC cases. Over 25 metabolites were differentially expressed in stage I and II EC. In addition, the six most significant metabolites were related to stage I and stage II EC cases. Ingenuity pathway analysis revealed potential biomarkers and metabolic pathways revolved to EC. In this paper, candidate endogenous biomarkers were defined as the basis for disease diagnosis and individualized treatment monitoring and revealed the mechanism of EC occurrence and development.
子宫内膜癌（EC）是女性生殖系统的一种恶性肿瘤。由于其生长迅速、侵袭性强，目前是唯一一种发病率和死亡率呈上升趋势的妇科恶性肿瘤。探索Ⅰ期和Ⅱ期 EC 的代谢组学特征对于诊断和治疗具有重要意义。本研究采用基于质谱的非靶向代谢组学方法，探讨了正常人和Ⅰ期和Ⅱ期 EC 患者术前血清中的代谢物。将代谢物映射到 IPA 数据库，以确定 EC 患者与健康对照组之间存在差异的潜在生物标志物和代谢途径。上调的 D-葡萄糖硫胺素和下调的胆固醇、花生四烯酸、棕榈酸、油酸、硬脂酸、亚油酸的顶级分析就绪分子可能是最相关的代谢物。这些潜在的生物标志物在调节与Ⅰ期和Ⅱ期 EC 相关的重要代谢途径中具有重要功能。此外，根据代谢物差异，我们的通路分析揭示了五个显著相关的通路。最后，对初始通路分析的疾病和功能预测表明，小分子生物化学、脂质代谢以及机体损伤和异常与 EC 有关。在Ⅰ期和Ⅱ期 EC 中，有超过 25 种代谢物存在差异表达。此外，六个最重要的代谢物与Ⅰ期和Ⅱ期 EC 病例有关。IPA 分析揭示了与 EC 相关的潜在生物标志物和代谢途径。本研究定义了候选内源性生物标志物作为疾病诊断和个体化治疗监测的基础，并揭示了 EC 发生和发展的机制。
