Background: HER2-targeted neoadjuvant therapy has high efficacy in treating HER2-positive breast cancer. Response to neoadjuvant therapy helps clinicians make treatment decisions and make estimates about prognosis. This study examined clinicopathologic features to determine which may be most predictive of response to neoadjuvant therapy in HER2+ breast cancer.
Patients and methods: Patients with HER2+ breast cancer (n = 173) who had an initial biopsy performed between 2010 and 2016 were identified at our institution. Tumor response was evaluated on excisional specimens using the MD Anderson residual cancer burden (RCB) classification. Tumors with pathologic complete response (defined as no residual invasive carcinoma in the breast and lymph nodes) and RCB-I were classified as having response and tumors with RCB-II and -III as having no response. Patient age, tumor size, nuclear grade (1/2 vs. 3), mitosis, Nottingham grade, HER2 immunohistochemistry (1/2+ vs. 3+), HER2/CEP17 (chromosome enumeration probe 17) ratio, HER2 copy number, estrogen receptor, progesterone receptor, Ki-67, and tumor-infiltrating lymphocytes (TIL) were evaluated and correlated with response. TILs were evaluated for an average and also for the hot spot/total tumor stromal ratio.
Results: Small tumor size, low estrogen receptor and progesterone receptor expression, HER2 immunohistochemistry 3+, high Ki-67, high HER2/CEP17 ratio, and high HER2 copy number were significantly associated with response (all P < .05). TIL hot spot was associated with RCB in univariate (P < .05) but not multivariate analyses.
Conclusion: Clinicopathologic features may help predict HER2+ breast cancer response to neoadjuvant therapy. Larger studies would be useful to confirm these associations, which may have relevance to clinical practice.
Keywords: Biomarker; HER2(+) breast cancer; HER2-targeted therapy; Neoadjuvant therapy; Prognosis.
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