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Updated: Jun 7, 2025
Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers
Published on: December 5, 2017
Immunohistochemical Status Predicts Pathologic Complete Response to Neoadjuvant Therapy in HER2-Overexpressing Breast
Leah Winer1, Karen J Ruth2, Richard J Bleicher3
1Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Background:
Human epidermal growth factor receptor 2 (HER2) overexpression (HER2+) is defined by immunohistochemistry (IHC) and in situ hybridization (ISH) as IHC3+ or IHC2+/ISH+. Response differences to neoadjuvant anti-HER2 therapy (NT) in IHC3+ versus IHC2+/ISH+ breast cancer patients are poorly characterized. We explored whether pathologic complete response (pCR) varies by HER2 IHC status.
Methods:
Patients with stage I-III HER2+ breast cancer undergoing NT and surgery between 2013 and 2020 were identified from the National Cancer Database and stratified by IHC status. Breast and nodal pCR were analyzed.
Results:
Of 40,711 HER2+ patients, 83% were IHC3+ and 17% were IHC2+/ISH+. IHC3+ patients were more likely to be hormone receptor (HR)-negative (33 vs. 21%), have cT3/4 tumors (24 vs. 21%), and be cN+ (52 vs. 47%; all p < 0.0001). Breast conservation rates were similar (each 43%, p = 0.32), although IHC3+ axillary lymph node dissection rates were lower (41 vs. 45%, p < 0.0001). Among all patients, breast pCR was 49%, while nodal pCR was 64%. Compared with IHC2+/ISH+, IHC3+ had higher unadjusted breast (54 vs. 22%, p < 0.0001) and nodal (69 vs. 37%, p < 0.0001) pCR rates. When stratified by HR status, pCR was lower for HR+ disease but remained higher among IHC3+ patients. Analysis of T1cN0 primaries mirrored these trends. In multivariable analysis, IHC3+ remained an independent predictor of breast (odds ratio [OR] 3.91, confidence interval [CI] 3.65-4.19, p < 0.0001) and nodal (OR 3.40, CI 3.12-3.71, p < 0.0001) pCR.
Conclusion:
HER2 IHC status predicts pCR and may help select breast cancer patients who derive the greatest benefit from NT. These findings provide further evidence that revision of HER2 classification may improve clinical management.
