Table S1, Table S2, Table S3, Table S4, Table S5, Table S6, Table S7, Table S8, Table S9, Table S10, Table S11, Figure S1, Figure S2, Figure S3, Text from Serum miRNA–based Prediction of Axillary Lymph Node Metastasis in Breast Cancer

Table S1. Definition criteria of categorical variables for logistic-LASSO regression analysis Table S2. Clinicopathological characteristics of patients with benign breast diseases Table S3. Clinicopathological characteristics of patients stratified into the training set and test set Table S4. Comparison of T staging between pre- and post-operative diagnosis Table S5. Comparison of lymphovascular invasion (LVI) between pre- and post-operative diagnosis Table S6. Clinicopathological characteristics of N-positive patients misdiagnosed as N-negative in the test set Table S7. Sensitivity and specificity analysis for the diagnostic index in the test set Table S8. Biomarker candidate miRNAs for N positivity Table S9. Comparison of post-operative lymphovascular invasion (LVI) between original and re-evaluated diagnosis in the training set Table S10. Characteristics of ultrasound findings of axillary lymph node status Table S11. Utility of ultrasonography for the detection of axillary lymph node metastasis Figure S1. Ultrasound findings of suspicious metastatic and negative axillary lymph nodes. Figure S2. Serum levels of miR-629-3p and miR-4710 in the training set. P-values were calculated by one-way ANOVA with Tukey's post-hoc analysis. Figure S3. ROC curves for histological grade and Ki-67 labeling index in the test set (postoperative pathology). Numbers in parentheses are 95% confidence intervals. Text. Materials and Methods