In the statistical analyses, the Wilcox test was used to compare the differences between the two groups of samples. The survminer of the R package and X-tile, a single-function software developed by Yale University, were utilized to take the best cutoff value for all survival analyses. The survival curve was analyzed by Kaplan–Meier, and the log-rank test was used to determine the significance of the difference. The receiver operating characteristic (ROC) is used to evaluate prediction sensitivity and specificity of immunophenotyping clusters in the disease progression, and the AUC is used to evaluate the specificity and sensitivity of the model.
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