Statistical analysis
tumor, Tumor, cN+/x
TUMOR, TUMOR, REGRESSIONS
The Reporting Recommendations for Tumor Marker Prognostic Studies criteria were followed for this studyUnivariable and multivariable [controlling for tumor size (≥ cT3 vs. cT2 in NeoALTTO, ≥ cT3 vs. cT1-2 in CALGB 40601), nodal status (cN0 vs. cN+/x), hormone receptor status, age as a continuous variable, treatment arm (T or L vs. T + L), PAM50 subtypes (HER2-E vs. others)] Cox proportional hazard models were used for survival analysis. Logistic regressions were used to compute P values for pCR. In univariable analysis for survival, Wilcoxon rank sum (for comparisons between two groups) and Kruskal-Wallis tests (for comparisons between three or more groups) were used to compare continuous variables according to categorical variables. Fisher’s test was performed to compare categorical variables. All correlations were assessed calculating the Spearman’s rank correlation coefficient (rho) on pairwise complete observations, and considered significant for Kaplan–Meier survival curves were used to represent EFS according to prognostic groups, and All Heatmaps were obtained with the “ComplexHeatmap” R package (v2.4.3)All statistical analyses were performed using the R software (v4.0.5)