Department of Minimally Invasive Gynecologic Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100006, China.
Department of Minimally Invasive Gynecologic Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100006, China.
Reprod Biomed Online. 2021 Jul;43(1):127-138. doi: 10.1016/j.rbmo.2021.04.002. Epub 2021 Apr 20.
Does ferroptosis resistance occur in patients with endometriosis, and can it be used as an indicator for diagnosis?
Six datasets including 164 expression arrays from endometriosis studies were selected from the National Center for Biotechnology Information Gene Expression Omnibus. Surrogate variable analysis was used for data integration after RobustRankAggreg to determine ferroptosis-associated gene expression trends. Differential genes between eutopic and normal endometrium, as well as between ectopic and eutopic endometrium, were determined. Ferroptosis resistance mechanisms during the development of endometriosis were determined by intergenic co-expression and the Kyoto Encyclopedia of Genes and Genomes pathway. Independent factors were then screened by least absolute shrinkage and selection operator regression to build a nomogram diagnostic model. The Hosmer-Lemeshow test and receiver operating characteristic (ROC) curve were used to verify model consistency and diagnostic efficacy, respectively.
Differential analysis revealed a progressive increase in changes of ferroptosis-related genes in endometriosis patients during the process of endometrium development from eutopic to ectopic. In the subsequent regression selection, nine ferroptosis-associated genes in the eutopic endometrium could, in most cases, distinguish endometriosis patients from healthy patients. Therefore, these genes can be used as independent factors for endometriosis diagnosis. The nomogram model established by these molecular markers had an area under the ROC curve of 0.979.
The eutopic and ectopic endometrium of patients with endometriosis is associated with ferroptosis resistance genetic alterations. Ferroptosis-associated genes have excellent clinical value in endometriosis diagnosis, achieved by the nomogram model.
子宫内膜异位症患者是否存在铁死亡抵抗,能否将其作为诊断指标?
从国家生物技术信息中心基因表达综合数据库中选择了 6 个包含 164 个子宫内膜异位症研究表达谱的数据集。使用稳健 RankAggreg 后进行替代变量分析以整合数据,确定铁死亡相关基因表达趋势。确定在位和正常子宫内膜以及异位和在位子宫内膜之间的差异基因。通过基因间共表达和京都基因与基因组百科全书途径确定子宫内膜异位症发展过程中的铁死亡抵抗机制。然后通过最小绝对收缩和选择算子回归筛选独立因素,构建列线图诊断模型。Hosmer-Lemeshow 检验和接收者操作特征(ROC)曲线分别用于验证模型一致性和诊断效能。
差异分析显示,在子宫内膜从在位到异位的发展过程中,子宫内膜异位症患者铁死亡相关基因的变化呈渐进性增加。在随后的回归选择中,在位子宫内膜中的 9 个铁死亡相关基因在大多数情况下可以将子宫内膜异位症患者与健康患者区分开来。因此,这些基因可以作为子宫内膜异位症诊断的独立因素。由这些分子标志物建立的列线图模型的 ROC 曲线下面积为 0.979。
子宫内膜异位症患者的在位和异位子宫内膜与铁死亡抵抗的遗传改变有关。铁死亡相关基因通过列线图模型在子宫内膜异位症诊断中具有优异的临床价值。