Research Article
HER2 Testing Characteristics Can Predict Residual Cancer Burden following Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer
Table 5
Multivariate models predicting residual cancer burden following neoadjuvant chemotherapy for HER2+ breast cancer.
| Models | Characteristics | OR (95% CL OR) | value |
| Model 1 | | | | | Hormone sensitive (ER or PgR + (10-100%)) | | Negative vs. positive | 2.85 (1.51-5.38) | 0.0012 | HER2 absolute count | 1.07 (1.02-1.14) | 0.0107 | Pretreatment tumor size | 0.83 (0.73-0.95) | 0.0060 | Model 2 | | | | | Hormone sensitive (ER or PgR + (10-100%)) | | Negative vs. positive | 2.83 (1.48-5.39) | 0.0016 | HER2/CEP17 ratio | 1.07 (1.03-1.1) | <.0001 | Pretreatment tumor size | 0.83 (0.73-0.95) | 0.0084 | Model 3 | | | | | Hormone sensitive (ER or PgR + (10-100%)) | | Negative vs. positive | 3.19 (1.64-6.2) | 0.0006 | IHC stain percentage | | <0.0001a | 3+ 100% vs. 2+ | 7.59 (2.98-19.35) | <0.0001 | 3+ <100% vs. 2+ | 2.24 (0.74-6.82) | 0.1563 | Pretreatment tumor size | 0.81 (0.71-0.93) | 0.0028 |
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Probabilities modeled are cumulated over the lower ordered RCB values. a value is associated with Type 3 analysis of effects. |