Abstract

Simple SummaryBreast cancer (BC) is the most common malignant neoplasm in women and one of the leading causes of cancer death in women worldwide. Programmed death-ligand 1 (PD-L1) is becoming an emerging biomarker in BC in recent years. It has been correlated with worse outcomes in patients with hormone receptor positive, but it has a predictive role to guide response to systemic treatment in the triple-negative breast cancer (TNBC) subtype, especially in the metastatic setting. Immune checkpoint inhibitors are beginning to be a part of the treatment for many TNBC patients. However, more studies are needed in order to identify wherefore immunotherapy benefits TNBC patients regardless of PD-L1 status in the localized disease, but only offer an improvement for PD-L1 positivity expression in the advanced setting. The aim of this review is to analyze PD-L1 in all BC subtypes, including clinical trials with anti-PD-1/L1 and their results.Breast cancer constitutes the most common malignant neoplasm in women around the world. Approximately 12% of patients are diagnosed with metastatic stage, and between 5 and 30% of early or locally advanced BC patients will relapse, making it an incurable disease. PD-L1 ligation is an immune inhibitory molecule of the activation of T cells, playing a relevant role in numerous types of malignant tumors, including BC. The objective of the present review is to analyze the role of PD-L1 as a biomarker in the different BC subtypes, adding clinical trials with immune checkpoint inhibitors and their applicable results. Diverse trials using immunotherapy with anti-PD-1/PD-L1 in BC, as well as prospective or retrospective cohort studies about PD-L1 in BC, were included. Despite divergent results in the reviewed studies, PD-L1 seems to be correlated with worse prognosis in the hormone receptor positive subtype. Immune checkpoints inhibitors targeting the PD-1/PD-L1 axis have achieved great response rates in TNBC patients, especially in combination with chemotherapy, making immunotherapy a new treatment option in this scenario. However, the utility of PD-L1 as a predictive biomarker in the rest of BC subtypes remains unclear. In addition, predictive differences have been found in response to immunotherapy depending on the stage of the tumor disease. Therefore, a better understanding of tumor microenvironment, as well as identifying new potential biomarkers or combined index scores, is necessary in order to make a better selection of the subgroups of BC patients who will derive benefit from immune checkpoint inhibitors.

Highlights

  • RationaleBreast cancer (BC) constitutes the most common malignant neoplasm in women and represents one of the leading causes of cancer lethality in this population [1].A number of well-known biomarkers are employed in the management of BC, such as estrogen/progesterone receptor positivity and overexpression/amplification of HER2(human epidermal growth factor receptor 2) [2]

  • programmed deathligand 1 (PD-L1) or B7 homolog 1 (B7-H1) is a protein encoded by the CD274 gene in humans

  • The immune system reacts under normal conditions to foreign antigens associated with exogenous or endogenous danger signals. This causes the proliferation of specific CD8 and CD4 T lymphocytes against these antigens

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Summary

Introduction

A number of well-known biomarkers are employed in the management of BC, such as estrogen/progesterone receptor positivity and overexpression/amplification of HER2. (human epidermal growth factor receptor 2) [2]. The utility of programmed deathligand 1 (PD-L1) as a predictive biomarker in all BC subtypes remains unclear. The PD-L1 immunohistochemistry (IHC) biomarker landscape is complex due to the heterogeneity of IHC assays, with diverse scoring algorithms approved for different scenarios and tumor indications [3]. The most commonly used anti-PD-L1 antibody clones are 22C3, SP142, SP263, 28-8, E1L3N and 73-10 [4,5,6]. 40–50% differences can be observed depending on the antibody used for its detection. It could be a certain degree of concordance between

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