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Article

Identification of EMT-associated LncRNA Signature for Predicting the Prognosis of Patients with Endometrial Cancer.

Combinatorial chemistry & high throughput screening - 1 Jan 2023

Shu Wan, Wang Ziwei, Zhang Wei, Zhang Jun, Zhao Rong, Yu Zhicheng, Dong Kejun, Wang Hongbo

Abstract excerpt

BACKGROUND: Endometrial cancer (EC) is one of the most normal malignancies globally. Growing evidence suggests epithelial-mesenchymal transition (EMT) related markers are closely correlated with poor prognosis of EC. However, the relationship between multiple EMT-associated long non-coding RNAs (lncRNAs) and the prognosis of EC has not yet been studied. METHODS: The transcriptome data and clinical information of...

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PMID: 36200154
DOI: 10.2174/1386207325666221005122554

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