BACKGROUND: Uterine Corpus Endometrial Carcinoma (UCEC) is a prevalent gynecologic malignancy with complex molecular underpinnings. This study identifies key woundhealing genes involved in UCEC and elucidates their roles through a comprehensive analysis. METHODS: In silico and in vitro experiments. RESULTS: Seventy wound healing-associated genes were extracted from the Gene Ontology (GO) database, and a protein-protein interaction (PPI) network was constructed using the STRING database. CytoHubba analysis in Cytoscape identified six pivotal hub genes: CD44, FGF2, FGF10, KDM6A, FN1, and MMP2. These genes exhibited significantly lower expression in UCEC cell lines compared to normal controls, as confirmed by RT-qPCR. Receiver Operating Characteristic (ROC) analysis demonstrated their potential as diagnostic biomarkers, with Area Under the Curve (AUC) values ranging from 0.94 to 1.00. Validation using TCGA datasets revealed consistent downregulation of these genes in UCEC samples, corroborated by immunohistochemical staining. Promoter methylation analysis showed significantly higher methylation levels in UCEC, correlating with decreased mRNA expression and poor survival outcomes. Genetic alteration analysis indicated frequent mutations in FN1 and KDM6A, although these did not significantly affect survival. Functional analysis using the CancerSEA database highlighted the involvement of these genes in critical cancer-related processes, including angiogenesis, apoptosis, and metastasis. Immune correlation studies revealed significant associations with immune inhibitor genes and distinct expression patterns across immune subtypes. Overexpression studies in UCEC cell lines demonstrated that CD44 and MMP2 reduce proliferative ability while enhancing migration and wound healing. CONCLUSION: Collectively, these findings underscore the crucial roles of CD44, FGF2, FGF10, KDM6A, FN1, and MMP2 in UCEC pathogenesis, highlighting their potential as biomarkers and therapeutic targets in this malignancy.
Key wound healing genes as diagnostic biomarkers and therapeutic targets in uterine corpus endometrial carcinoma: an integrated in silico and in vitro study.
子宫内膜癌中关键伤口愈合基因作为诊断生物标志物和治疗靶点:一项综合的计算机模拟和体外研究
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作者:Jiang Fuchuan, Ahmad Sajjad, Kanwal Sadia, Hameed Yasir, Tang Qian
| 期刊: | Hereditas | 影响因子: | 2.500 |
| 时间: | 2025 | 起止号: | 2025 Jan 21; 162(1):5 |
| doi: | 10.1186/s41065-025-00369-9 | 研究方向: | 肿瘤 |
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