Identification of autophagy-related long non-coding RNAs in endometrial cancer via comprehensive bioinformatics analysis

Abstract excerpt

BACKGROUND: Endometrial cancer is a common gynaecological malignancy with an increasing incidence. It is of great importance and value to uncover its effective and accurate prognostic indicators of disease outcomes. METHODS: The sequencing data and clinical information of endometrial cancer patients in the TCGA database were downloaded, and autophagy-related genes in the human autophagy database were downloaded....

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