Shi Shanping, Huang Chao, Tang Xiaojian, Liu Hua, Feng Weiwei, Chen Chen
Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P.R. China.
J Biol Eng. 2024 Nov 25;18(1):70. doi: 10.1186/s13036-024-00466-9.
This study addresses the challenges in the early diagnosis of deep infiltrating endometriosis (DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the GSE141549 dataset from the Gene Expression Omnibus (GEO) database, using bioinformatics methods and three machine learning algorithms (LASSO, Random Forest, and Support Vector Machine), the key feature gene USP14 was identified. The results indicated that USP14 is significantly upregulated in DIE and exhibits good predictive value (AUC = 0.786). Further analysis revealed the important role of USP14 in muscle function, cellular growth factor response, and maintenance of chromosome structure, and its close association with various immune cell functions. Immunohistochemical staining confirmed the high expression of USP14 in DIE tissues. This study provides a new molecular target for the early diagnosis of DIE, which holds significant clinical implications and potential application value.
本研究通过探索去泛素化酶USP14的潜在作用，解决了深部浸润性子宫内膜异位症（DIE）早期诊断中的挑战。通过分析来自基因表达综合数据库（GEO）的GSE141549数据集，运用生物信息学方法和三种机器学习算法（LASSO、随机森林和支持向量机），确定了关键特征基因USP14。结果表明，USP14在DIE中显著上调，并具有良好的预测价值（AUC = 0.786）。进一步分析揭示了USP14在肌肉功能、细胞生长因子反应和染色体结构维持中的重要作用，以及它与各种免疫细胞功能的密切关联。免疫组织化学染色证实了USP14在DIE组织中的高表达。本研究为DIE的早期诊断提供了一个新的分子靶点，具有重要的临床意义和潜在的应用价值。
