Chung Jessica, Rogers Peter Adrian
Department of Obstetrics and Gynaecology, University of Melbourne, and Gynaecology Research Centre, Royal Women's Hospital, Parkville, VIC 3052, Australia.
Melbourne Bioinformatics, University of Melbourne, Parkville, VIC 3052, Australia.
Int J Mol Sci. 2025 Jan 20;26(2):857. doi: 10.3390/ijms26020857.
The dynamic nature of human endometrial tissue presents unique challenges in analysis. Despite extensive research into endometrial disorders such as endometriosis and infertility, recent systematic reviews have highlighted concerning issues with the reproducibility of omics studies attempting to identify biomarkers. This review examines factors contributing to poor reproducibility in endometrial omics research. Hormonal fluctuations in the menstrual cycle lead to widespread molecular changes in the endometrium, most notably in gene expression profiles. In this review, we examine the variability in omics data due to the menstrual cycle and highlight the importance of accurate menstrual cycle dating for effective statistical modelling. The current standards of endometrial dating lack precision and we make the case for using molecular-based modelling methods to estimate menstrual cycle time for endometrium tissue samples. Additionally, we discuss statistical considerations such as confounding and interaction effects, as well as the importance of recording the detailed and accurate clinical information of patients. By addressing these methodological challenges, we aim to establish more robust and reproducible research practises, increasing the reliability of endometrial omics research and biomarker discovery.
人类子宫内膜组织的动态特性给分析带来了独特挑战。尽管对子宫内膜异位症和不孕症等子宫内膜疾病进行了广泛研究，但最近的系统评价强调了试图识别生物标志物的组学研究在可重复性方面存在的相关问题。本综述探讨了导致子宫内膜组学研究可重复性差的因素。月经周期中的激素波动会导致子宫内膜广泛的分子变化，最显著的是基因表达谱的变化。在本综述中，我们研究了由于月经周期导致的组学数据变异性，并强调了准确的月经周期计时对于有效统计建模的重要性。目前的子宫内膜计时标准缺乏精确性，我们主张使用基于分子的建模方法来估计子宫内膜组织样本的月经周期时间。此外，我们讨论了诸如混杂和交互作用等统计考量，以及记录患者详细准确临床信息的重要性。通过应对这些方法学挑战，我们旨在建立更稳健、可重复的研究实践，提高子宫内膜组学研究和生物标志物发现的可靠性。
