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Additional file 1: Table S1. of Response and survival of breast cancer intrinsic subtypes following multi-agent neoadjuvant chemotherapy
Cox model DRFS analyses including intrinsic subtype in all patients from the MDACC-based cohort (GSE25066). Table S2. Cox model DRFS analyses including ROR-P in all patients from the MDACC-based cohort (GSE25066). Table S3. Cox model DRFS analyses including intrinsic subtype in patients that achieved a pCR from the MDACC-based cohort (GSE25066). Table S4. Cox model DRFS analyses including ROR-P in patients that achieved a pCR from the MDACC-based cohort (GSE25066). Table S5. Cox model DRFS analyses including ROR-P in patients with residual disease from the MDACC-based cohort (GSE25066). Table S6. Distribution of the PAM50 subtypes within the TNBCtype groups and vice versa. Table S7. Association of the TNBCtype subtypes with chemotherapy response in triple-negative breast cancer. Figure S1. CONSORT diagram of the various cohorts evaluated in this study. Figure S2. Kaplan-Meier distant relapse-free survival analysis in MDACC-based (GSE25066 [13]) dataset set. (A) Survival outcomes of the ROR-P groups in all patients. (B) Survival outcomes of the ROR-P groups in patients with clinically node-negative disease. Figure S3. Levels of ESR1 across TNBCtype ESR1-low group, TNBCtype ESR1-high group and ER+ group. Median expression of ESR1 in the PAM50 training dataset reported in Parker et al. [24] has been set to zero. Figure S4. Distribution of the TNBCtype subtypes and ESR1-high group within the PAM50 subtypes in TNBC. Figure S5. Distribution of the TNBCtype subtypes and ESR1-high group within the PAM50 + Claudin-low subtypes in TNBC. Figure S6. Training and testing gene expression-based models predictive of pCR in all patients. Figure S7. Training and testing gene expression-based models predictive of pCR in patients with Basal-like disease. Figure S8. Training and testing gene expression-based models predictive of pCR in patients with luminal (A/B) disease. (DOCX 819 kb