R software version 4.1.2

All statistical analyses were performed using R software (version 4.1.2) and SPSS (version 22.0). The chi-square test or Fisher's exact test was used to compare the differences in categorical variables between the TP53mut and non-TP53mut groups, and the dependent t test or Mann‒Whitney test was used to compare continuous variables. Multivariate logistic regression analysis was used to screen for independent factors for identifying TP53mut patients, a predictive model was established, and a nomogram was generated accordingly. A receiver operating characteristic (ROC) curve was produced, and the area under the curve (AUC), sensitivity, and specificity were calculated. Kaplan‒Meier curves with the log-rank test were used to compare progression-free survival and overall survival between the model-predicted TP53mut group and the model-predicted non-TP53mut group. A two-sided p < 0.05 was considered statistically significant.

Descriptive statistical analysis was expressed as an absolute percentage of a categorical variable, while the median of a continuous variable was derived as a median of its interquartile range. We presented OS and PFS using Kaplan–Meier curves. The Lasso regression method was applied to analyze and identify factors related to OS and PFS. The results were presented as hazard ratios, 95% CI, and P values. P < 0.05 was considered statistically significant. A variety of software was utilized to process data, including R software (version 4.1.2), SPSS 25.0, and GrandPad Prism 9.3.