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Additional file 10 of An EMT-related genes signature as a prognostic biomarker for patients with endometrial cancer

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posted on 2023-09-19, 03:22 authored by Yonghui Yu, Yiwen Zhang, Zhi Li, Yongshun Dong, Hongmei Huang, Binyao Yang, Eryong Zhao, Yongxiu Chen, Lei Yang, Jiachun Lu, Fuman Qiu
Additional file 10: Table S1.Clinicopathological characteristics and survival status of the patients from TCGA. Table S2. The characteristics of selected GEO datasets of EC. Table S3. The clinicopathological characteristics in patients with endometrial cancer. Table S4. siRNA sequence list. Table S5. PCR primer sequence list. Table S6. The results of LASSO-COX regression model.

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National Natural Science Foundation of China Guangzhou Science Research Program General Project Guangzhou Municipal Scientific Research Project Guangdong High School Young Innovative Talents Project

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    BMC Cancer

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    Endometrial cancerEMTBiomarkerPrognosis

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