Differential Expression of Anoikis-Related Genes in Endometrial Carcinoma

By integrating the data of the TCGA-UCEC in The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/), we obtained gene expression profiles and clinical data of 520 EC patients. A total of 434 anoikis-related genes (ARGs) were extracted from GeneCards, and genes with a relevance score >0.4 were selected (Supplementary Table S1). In order to obtain differentially expressed gene (DEG) in EC, we conducted differentiation analysis for the expression of all genes in the normal and tumor samples by limma in R software (|fold change (FC)| = 1.0 and p value <0.05). Then, differentially expressed ARGs were collected by interacting with DEG sets.

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Chen S., Gu J., Zhang Q., Hu Y, & Ge Y. (2021). Development of Biomarker Signatures Associated with Anoikis to Predict Prognosis in Endometrial Carcinoma Patients. Journal of Oncology, 2021, 3375297.

Publication 2021

A genes Anoikis Cancer Gene Genes expression analysis Genome Patients Tumor

Corresponding Organization : Zhongda Hospital Southeast University

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Protocol cited in 6 other protocols

Variable analysis

independent variables

Gene expression profiles

dependent variables

Differentially expressed genes (DEGs) in endometrial cancer (EC)

control variables

Normal samples (healthy tissue)

notes

The study used gene expression profiles as the independent variable to identify differentially expressed genes (DEGs) between normal and tumor samples of EC patients, which are the dependent variables.
The control variables were the normal (healthy) samples used for the differential expression analysis.

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