Abstract

BackgroundPathologic complete response (pCR) after neoadjuvant chemotherapy for breast cancer is associated with improved prognosis in aggressive tumor subtypes, including ERBB2- positive tumors. Recent adoption of pCR as a surrogate endpoint for clinical trials in early stage breast cancer in the neoadjuvant setting highlights the need for biomarkers that, alone or in combination, help predict the likelihood of response to treatment.MethodsBiopsy specimens from 29 patients with invasive ductal carcinoma treated with trastuzumab-based therapy prior to definitive resection and pathologic staging were evaluated by dual color bright field in situ hybridization (dual ISH) using probes for MET, TOP2A, PTEN, and PIK3CA genes, each paired with centromeric probes to their respective chromosomes (chromosomes 7, 17, 10, and 3). Ki-67 expression was assessed by immunohistochemistry (IHC). Various parameters describing copy number alterations were evaluated for each gene and centromere probe to identify the optimal parameters for clinical relevance. Combinations of ISH parameters and IHC expression for Ki-67 were also evaluated.ResultsOf the four genes and their respective chromosomes evaluated by ISH, two gene copy number parameters provided statistically significant associations with pCR: MET gain or loss relative to chromosome 7 (AUC = 0.791, sensitivity = 92 % and specificity = 67 % at optimal cutoff, p = 0.0032) and gain of PTEN (AUC = 0.674, sensitivity = 38 % and specificity = 100 % at optimal cutoff, p = 0.039). Ki-67 expression was also found to associate significantly with pCR (AUC = 0.726, sensitivity = 100 % and specificity = 42 % at optimal cutoff, p = 0.0098). Combining gain or loss of MET relative to chromosome 7 with Ki-67 expression further improved the association with pCR (AUC = 0.847, sensitivity = 92 % and specificity = 83 % at optimal cutoffs, p = 0.0006).ConclusionsAn immunogenotypic signature of low complexity comprising MET relative copy number and Ki-67 expression generated by dual ISH and IHC may help predict pCR in ERBB2-positive breast cancer treated with neoadjuvant chemotherapy and trastuzumab. These findings require validation in additional patient cohorts.Electronic supplementary materialThe online version of this article (doi:10.1186/s12885-016-2743-x) contains supplementary material, which is available to authorized users.

Highlights

  • Pathologic complete response after neoadjuvant chemotherapy for breast cancer is associated with improved prognosis [1]

  • Pertuzumab, an inhibitor of heterodimerization of ERBB2 with other ERBB receptor family members, is the first agent granted accelerated approval for the neoadjuvant treatment of high-risk early stage breast cancer based on Pathologic complete response (pCR) data [3]

  • Of the 234 cases, 29 satisfied inclusion criteria which included a diagnosis of primary invasive breast cancer, neoadjuvant trastuzumab therapy, and a pretreatment biopsy performed at the Cleveland Clinic

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Summary

Introduction

Pathologic complete response (pCR) after neoadjuvant chemotherapy for breast cancer is associated with improved prognosis in aggressive tumor subtypes, including ERBB2- positive tumors. Recent adoption of pCR as a surrogate endpoint for clinical trials in early stage breast cancer in the neoadjuvant setting highlights the need for biomarkers that, alone or in combination, help predict the likelihood of response to treatment. Pathologic complete response (pCR) after neoadjuvant chemotherapy for breast cancer is associated with improved prognosis [1]. The Food and Drug Administration (FDA) has issued guidance on the use of pCR as a surrogate endpoint for clinical trials in early stage breast cancer in the neoadjuvant setting [2]. Given the importance of pCR in prognosis and clinical trial design, there is a need to identify biomarkers that, alone or in combination, help predict the likelihood of response to treatment. A variety of genes, including PIK3CA, PTEN, TOP2A and MET are candidate markers for prognosis and response to treatment in ERBB2-positive breast cancer

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