ArticleJournal of Cancer2021
Expression profile of epithelial-mesenchymal transition-related genes as a prognostic biomarker for endometrial cancer.
Article in Journal of Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Prognostic Role of L1CAM in Endometrial Cancer.Diagnostics (Basel, Switzerland) · 2025Review
- Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome.Frontiers in pharmacology · 2025Article
- Article
- An EMT-related genes signature as a prognostic biomarker for patients with endometrial cancer.BMC cancer · 2023Article
- Crosstalk of Redox-Related Subtypes, Establishment of a Prognostic Model and Immune Responses in Endometrial Carcinoma.Cancers · 2022Article
- The Anti-ROR1 Monoclonal Antibody Zilovertamab Inhibits the Proliferation of Ovarian and Endometrial Cancer Cells.Pharmaceutics · 2022Article
- COL8A1 Predicts the Clinical Prognosis of Gastric Cancer and Is Related to Epithelial-Mesenchymal Transition.BioMed research international · 2022Article
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Authors and funding
3 authors.
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Abstract
Epithelial-mesenchymal transition (EMT) is regulated by inducible factors, transcription factors, and a series of genes involved in diverse signaling pathways, which are correlated with tumor invasion and progression. In the present study, we analyzed the expression profile data of 1169 EMT-related genes in endometrial cancer (EC) from the Cancer Genome Atlas (TCGA) dataset, and performed consistency clustering to divide EC samples into two subgroups based on overall survival. The genes differentially expressed between the two subtypes included EMT-related genes. Univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) were applied to construct a prognostic model based on the 44 genes signature. Five genes (L1CAM, PRKCI, ESR1, CDKN2A, and VIM) were finally included to establish a formula for prognostic risk score. The low-risk group showed significantly better prognosis compared with the high-risk group in the TCGA dataset. In addition, the risk-scoring model successfully predicted prognosis in an external GEO dataset (GSE102073). The relationship between ERα and vimentin levels was confirmed through immunohistochemistry. In conclusion, these data indicate that the expression profile of EMT-related genes could predict prognosis in EC.
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