Differences between experimental conditions were tested using Student’s t-test or Wilcoxon rank-sum test, according to the normality of samples’ distribution verified with a Shapiro-Wilk test. A p-value < 0.05 was considered statistically significant. Spearman’s rho correlation coefficient method was used to assess correlation between two variables. Survival analyses were performed using the computing environment R50 and the packages survival51, for fitting the model, and survminer52 for plotting. Overall survival data were obtained from the same link reported above. Median survival was estimated with the Kaplan-Meier method and the difference was tested using the log-rank (Mantel-Cox) test. For stratifying survival, gene expression data were divided into quartiles.
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