The Impact of Tumor Infiltrating Lymphocytes Densities and Ki67 Index on Residual Breast Cancer Burden following Neoadjuvant Chemotherapy

Author:

Elmahs Aya1ORCID,Mohamed Ghada23ORCID,Salem Mostafa4,Omar Dina4,Helal Amany Mohamed56,Soliman Nahed1

Affiliation:

1. Department of Pathology, Faculty of Medicine, Helwan University, Egypt

2. Department of Pathology, National Cancer Institute, Cairo University, Egypt

3. Department of Pathology, Baheya Center for Early Detection and Treatment of Breast Cancer, Egypt

4. Department of Pathology, Faculty of Medicine, Cairo University, Egypt

5. Medical Oncology Department, Baheya Center for Early Detection and Treatment of Breast Cancer, Egypt

6. Medical Oncology Department, National Cancer Institute, Cairo University, Egypt

Abstract

To avoid unnecessary neoadjuvant chemotherapy in case anticipating a poor therapy response, it is essential to find the pathological parameters that would predict pathological complete response or at least a decrease in tumor burden following neoadjuvant chemotherapy. The purpose of this study is to investigate the hypothesis that tumor infiltrating lymphocytes can predict the efficacy of neoadjuvant chemotherapy and to find the Ki67 cutoff value that best predicts the benefit of chemotherapy. 153 cases of breast cancer were chosen, based on their molecular subtype: triple negative subtype (77) and luminal, HER2-ve subtype (76). Histopathological assessment of pretherapy core biopsies was conducted to assess variable pathological parameters including TILs rates with the aid of immunohistochemical staining for CD20 and CD3. Moreover, core biopsies were stained for Ki67, and the findings were compared to the residual cancer burden following neoadjuvant chemotherapy. On analyzing and contrasting the two groups, a significant association between molecular subtype and pathological complete response was confirmed, while tumor-infiltrating lymphocytes in either group had no effect on therapy response. We used receiver operating characteristic curve analysis to determine that a cutoff of 36% for Ki67 is the most accurate value to predict complete therapy response.

Publisher

Hindawi Limited

Subject

Cancer Research,Pharmacology (medical),Oncology

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