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30 October 2021: Database Analysis

Construction and Verification of a Hypoxia-Stemness-Based Gene Signature for Risk Stratification in Esophageal Cancer

Kang Tang 1BCDE , Yong Cheng 2AF , Qian Li 3AF*

DOI: 10.12659/MSM.934359

Med Sci Monit 2021; 27:e934359

Figure 3 Construction and validation of a hypoxia-stemness-based prognostic classifier in the ESCA cohort(A) Coefficients of the selected features are shown by the lambda parameter; partial likelihood deviations were derived using the LASSO Cox regression model versus log (λ). The partial likelihood deviation values are shown, and the error bars represent SE. (B) LASSO coefficient analysis of prognostic DEGs associated with hypoxic-stemness-related DEGs. The dotted lines in the graph represent the values selected after passing the 3-fold cross-validation. (C) Forest plot of hazard ratios for eight hypoxic stemness-related prognostic DEGs screened by LASSO Cox regression. (D, E) TCGA-ESCA patients were separated into training and validation sets in the ratio of 4: 1, Kaplan-Meier curve analysis of overall survival in high-risk and low-risk groups. (F) The Kaplan-Meier survival analysis was used to assess the overall survival differences between the high- and low-risk groups in the GSEA53624 cohort. (G, H) ROC curve analysis of TCGA-ESCA training and validation cohort. (I) ROC curve analysis of external independent verification cohort (GSEA53624).

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750