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Fig. 1 | BMC Medical Genomics

Fig. 1

From: Identification of the miRNA-mRNA regulatory network associated with radiosensitivity in esophageal cancer based on integrative analysis of the TCGA and GEO data

Fig. 1

Flow chart of the analysis in the current study. The miRNA-seq and mRNA-seq data of esophageal cancer were obtained from the TCGA database, and the expression differences of miRNAs and mRNAs in radiosensitive samples and radioresistant samples were analyzed, and the radiotherapy-related mRNA dataset of esophageal cancer was obtained from the GEO database. Then, DEmRNAs before and after radiotherapy were obtained. After that, the miRNA-mRNA regulatory networks were constructed through the online databases, and GO and KEGG enrichment analyses were utilized to predict the biological functions involved in mRNAs. A prognostic risk model was constructed using univariate Cox regression analysis, LASSO regression analysis and multivariate Cox regression analysis. Finally, a ROC curve analysis was performed to evaluate the predictive accuracy of candidate factors

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